OnePandas

SparkSQL之函数解析

!

! expr - Logical not.

不的意思

Examples:

> SELECT ! true;
 false
> SELECT ! false;
 true
> SELECT ! NULL;
 NULL

Since: 1.0.0

!=

expr1 != expr2 - Returns true if expr1 is not equal to expr2, or false otherwise.

如果 expr1 不等于 expr2 则返回 true，否则返回 false。

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be used in equality comparison. Map type is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 1 != 2;
 true
> SELECT 1 != '2';
 true
> SELECT true != NULL;
 NULL
> SELECT NULL != NULL;
 NULL

Since: 1.0.0

%

expr1 % expr2 - Returns the remainder after expr1/expr2.

expr1 % expr2 - 返回 expr1``expr2 之后的余数。

Examples:

> SELECT 2 % 1.8;
 0.2
> SELECT MOD(2, 1.8);
 0.2

Since: 1.0.0

&

expr1 & expr2 - Returns the result of bitwise AND of expr1 and expr2.

expr1 & expr2 - 返回 expr1 和 expr2 的按位与结果。

Examples:

> SELECT 3 & 5;
 1

Since: 1.4.0

*

expr1 * expr2 - Returns expr1*expr2.

返回 expr1乘以expr2的结果。

Examples:

> SELECT 2 * 3;
 6

Since: 1.0.0

+

expr1 + expr2 - Returns expr1+expr2.

Examples:

> SELECT 1 + 2;
 3

Since: 1.0.0

-

expr1 - expr2 - Returns expr1-expr2.

Examples:

> SELECT 2 - 1;
 1

Since: 1.0.0

/

expr1 / expr2 - Returns expr1/expr2. It always performs floating point division.

Examples:

> SELECT 3 / 2;
 1.5
> SELECT 2L / 2L;
 1.0

Since: 1.0.0

<

expr1 < expr2 - Returns true if expr1 is less than expr2.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be ordered. For example, map type is not orderable, so it is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 1 < 2;
 true
> SELECT 1.1 < '1';
 false
> SELECT to_date('2009-07-30 04:17:52') < to_date('2009-07-30 04:17:52');
 false
> SELECT to_date('2009-07-30 04:17:52') < to_date('2009-08-01 04:17:52');
 true
> SELECT 1 < NULL;
 NULL

Since: 1.0.0

<=

expr1 <= expr2 - Returns true if expr1 is less than or equal to expr2.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be ordered. For example, map type is not orderable, so it is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 2 <= 2;
 true
> SELECT 1.0 <= '1';
 true
> SELECT to_date('2009-07-30 04:17:52') <= to_date('2009-07-30 04:17:52');
 true
> SELECT to_date('2009-07-30 04:17:52') <= to_date('2009-08-01 04:17:52');
 true
> SELECT 1 <= NULL;
 NULL

Since: 1.0.0

<=>

expr1 <=> expr2 - Returns same result as the EQUAL(=) operator for non-null operands, but returns true if both are null, false if one of the them is null.

expr1 <=> expr2 - 对于非空操作数返回与 EQUAL(=) 运算符相同的结果，但如果两者都为空则返回 true，如果其中一个为空则返回 false。

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be used in equality comparison. Map type is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 2 <=> 2;
 true
> SELECT 1 <=> '1';
 true
> SELECT true <=> NULL;
 false
> SELECT NULL <=> NULL;
 true

Since: 1.1.0

<>

expr1 != expr2 - Returns true if expr1 is not equal to expr2, or false otherwise.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be used in equality comparison. Map type is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 1 != 2;
 true
> SELECT 1 != '2';
 true
> SELECT true != NULL;
 NULL
> SELECT NULL != NULL;
 NULL

Since: 1.0.0

=

expr1 = expr2 - Returns true if expr1 equals expr2, or false otherwise.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be used in equality comparison. Map type is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 2 = 2;
 true
> SELECT 1 = '1';
 true
> SELECT true = NULL;
 NULL
> SELECT NULL = NULL;
 NULL

Since: 1.0.0

==

expr1 == expr2 - Returns true if expr1 equals expr2, or false otherwise.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be used in equality comparison. Map type is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 2 == 2;
 true
> SELECT 1 == '1';
 true
> SELECT true == NULL;
 NULL
> SELECT NULL == NULL;
 NULL

Since: 1.0.0

>

expr1 > expr2 - Returns true if expr1 is greater than expr2.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be ordered. For example, map type is not orderable, so it is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 2 > 1;
 true
> SELECT 2 > '1.1';
 true
> SELECT to_date('2009-07-30 04:17:52') > to_date('2009-07-30 04:17:52');
 false
> SELECT to_date('2009-07-30 04:17:52') > to_date('2009-08-01 04:17:52');
 false
> SELECT 1 > NULL;
 NULL

Since: 1.0.0

>=

expr1 >= expr2 - Returns true if expr1 is greater than or equal to expr2.

Arguments:

expr1, expr2 - the two expressions must be same type or can be casted to a common type, and must be a type that can be ordered. For example, map type is not orderable, so it is not supported. For complex types such array/struct, the data types of fields must be orderable.

Examples:

> SELECT 2 >= 1;
 true
> SELECT 2.0 >= '2.1';
 false
> SELECT to_date('2009-07-30 04:17:52') >= to_date('2009-07-30 04:17:52');
 true
> SELECT to_date('2009-07-30 04:17:52') >= to_date('2009-08-01 04:17:52');
 false
> SELECT 1 >= NULL;
 NULL

Since: 1.0.0

^

expr1 ^ expr2 - Returns the result of bitwise exclusive OR of expr1 and expr2.

Examples:

> SELECT 3 ^ 5;
 6

Since: 1.4.0

abs

abs(expr) - Returns the absolute value of the numeric value.

返回expr的绝对值。

Examples:

> SELECT abs(-1);
 1

Since: 1.2.0

acos

acos(expr) - Returns the inverse cosine (a.k.a. arc cosine) of expr, as if computed by java.lang.Math.acos.

acos(expr) - 返回 expr 的反余弦（也称为反余弦），就像由 java.lang.Math.acos 计算的一样。

Examples:

> SELECT acos(1);
 0.0
> SELECT acos(2);
 NaN

Since: 1.4.0

acosh

acosh(expr) - Returns inverse hyperbolic cosine of expr.

返回 expr 的反双曲余弦值。

Examples:

> SELECT acosh(1);
 0.0
> SELECT acosh(0);
 NaN

Since: 3.0.0

add_months

add_months(start_date, num_months) - Returns the date that is num_months after start_date.

如果num_months为正值表示加多少个月，如果num_months为负值表示减去多少个月，返回的就是加/减后的时间

Examples:

> SELECT add_months('2016-08-31', 1);
 2016-09-30

Since: 1.5.0

aggregate

aggregate(expr, start, merge, finish) - Applies a binary operator to an initial state and all elements in the array, and reduces this to a single state. The final state is converted into the final result by applying a finish function.

aggregate(expr, start, merge, finish) - 将二元运算符应用于初始状态和数组中的所有元素，并将其简化为单个状态。通过应用完成函数将最终状态转换为最终结果。

Examples:

> SELECT aggregate(array(1, 2, 3), 0, (acc, x) -> acc + x);
 6
> SELECT aggregate(array(1, 2, 3), 0, (acc, x) -> acc + x, acc -> acc * 10);
 60

Since: 2.4.0

and

expr1 and expr2 - Logical AND.

逻辑与。

Examples:

> SELECT true and true;
 true
> SELECT true and false;
 false
> SELECT true and NULL;
 NULL
> SELECT false and NULL;
 false

Since: 1.0.0

any

any(expr) - Returns true if at least one value of expr is true.

如果 expr 的值有一个值为真，则返回真。

Examples:

> SELECT any(col) FROM VALUES (true), (false), (false) AS tab(col);
 true
> SELECT any(col) FROM VALUES (NULL), (true), (false) AS tab(col);
 true
> SELECT any(col) FROM VALUES (false), (false), (NULL) AS tab(col);
 false

Since: 3.0.0

approx_count_distinct

approx_count_distinct(expr[, relativeSD]) - Returns the estimated cardinality by HyperLogLog++. relativeSD defines the maximum relative standard deviation allowed.

统计传入列不重复的元素个数（也就是去重之后的元素个数）

Examples:

> SELECT approx_count_distinct(col1) FROM VALUES (1), (1), (2), (2), (3) tab(col1);
 3

Since: 1.6.0

approx_percentile

求多个分位数，结果为数组样式，可以通过取下标的方式获取数组中的单个结果。

approx_percentile(col, percentage [, accuracy]) - Returns the approximate percentile of the numeric column col which is the smallest value in the ordered col values (sorted from least to greatest) such that no more than percentage of col values is less than the value or equal to that value. The value of percentage must be between 0.0 and 1.0. The accuracy parameter (default: 10000) is a positive numeric literal which controls approximation accuracy at the cost of memory. Higher value of accuracy yields better accuracy, 1.0/accuracy is the relative error of the approximation. When percentage is an array, each value of the percentage array must be between 0.0 and 1.0. In this case, returns the approximate percentile array of column col at the given percentage array.

返回数字列 col 的近似 percentile，它是有序 col 值中的最小值（从最小到最大排序），这样不超过 percentage col值的 小于或等于该值。百分比的值必须介于 0.0 和 1.0 之间。 accuracy 参数（默认值：10000）是一个正数值文字，它以内存为代价控制近似精度。 accuracy 的值越高，精度越高，1.0accuracy 是近似值的相对误差。当 percentage 为数组时，百分比数组的每个值必须介于 0.0 和 1.0 之间。在这种情况下，返回给定百分比数组中列col的近似百分比数组。

Examples:

> SELECT approx_percentile(col, array(0.5, 0.4, 0.1), 100) FROM VALUES (0), (1), (2), (10) AS tab(col);
 [1,1,0]
> SELECT approx_percentile(col, 0.5, 100) FROM VALUES (0), (6), (7), (9), (10) AS tab(col);
 7

Since: 2.1.0

array

array(expr, …) - Returns an array with the given elements.

返回给定元素的数组。

Examples:

> SELECT array(1, 2, 3);
 [1,2,3]

Since: 1.1.0

array_contains

array_contains(array, value) - Returns true if the array contains the value.

如果数组包含给定的元素，则返回 true，否则返回false。

Examples:

> SELECT array_contains(array(1, 2, 3), 2);
 true

Since: 1.5.0

array_distinct

array_distinct(array) - Removes duplicate values from the array.

去除数组中的重复值

Examples:

> SELECT array_distinct(array(1, 2, 3, null, 3));
 [1,2,3,null]

Since: 2.4.0

array_except

array_except(array1, array2) - Returns an array of the elements in array1 but not in array2, without duplicates.

返回集合1对于集合2的差集，也就是显示集合1独有的部分

Examples:

> SELECT array_except(array(1, 2, 3), array(1, 3, 5));
 [2]

Since: 2.4.0

array_intersect

array_intersect(array1, array2) - Returns an array of the elements in the intersection of array1 and array2, without duplicates.

显示集合1和集合2的并集，也就是集合1和集合2都有的部分，会对并集自动去重

Examples:

> SELECT array_intersect(array(1, 2, 3), array(1, 3, 5));
 [1,3]

Since: 2.4.0

array_join

array_join(array, delimiter[, nullReplacement]) - Concatenates the elements of the given array using the delimiter and an optional string to replace nulls. If no value is set for nullReplacement, any null value is filtered.

将集合内的元素用指定的字符拼接在一起，如果没有为 nullReplacement 设置值，则过滤所有null值。

Examples:

> SELECT array_join(array('hello', 'world'), ' ');
 hello world
> SELECT array_join(array('hello', null ,'world'), ' ');
 hello world
> SELECT array_join(array('hello', null ,'world'), ' ', ',');
 hello , world

Since: 2.4.0

array_max

array_max(array) - Returns the maximum value in the array. NaN is greater than any non-NaN elements for double/float type. NULL elements are skipped.

返回数组中的最大值。对于 doublefloat 类型，NaN 大于任何非 NaN 元素。 NULL 元素被跳过。

Examples:

> SELECT array_max(array(1, 20, null, 3));
 20

Since: 2.4.0

array_min

array_min(array) - Returns the minimum value in the array. NaN is greater than any non-NaN elements for double/float type. NULL elements are skipped.

返回数组中的最小值。对于 doublefloat 类型，NaN 大于任何非 NaN 元素。 NULL 元素被跳过。

Examples:

> SELECT array_min(array(1, 20, null, 3));
 1

Since: 2.4.0

array_position

array_position(array, element) - Returns the (1-based) index of the first element of the array as long.

返回数组中给定元素的索引下标，不存在返回0（索引下标从1开始）

Examples:

> SELECT array_position(array(3, 2, 1), 1);
 3

Since: 2.4.0

array_remove

array_remove(array, element) - Remove all elements that equal to element from array.

从数组中移除所有等于element的元素。

Examples:

> SELECT array_remove(array(1, 2, 3, null, 3), 3);
 [1,2,null]

Since: 2.4.0

array_repeat

array_repeat(element, count) - Returns the array containing element count times.

将element复制count份，合并成一个数组

Examples:

> SELECT array_repeat('123', 2);
 ["123","123"]

Since: 2.4.0

array_sort

array_sort(expr, func) - Sorts the input array. If func is omitted, sort in ascending order. The elements of the input array must be orderable. NaN is greater than any non-NaN elements for double/float type. Null elements will be placed at the end of the returned array. Since 3.0.0 this function also sorts and returns the array based on the given comparator function. The comparator will take two arguments representing two elements of the array. It returns -1, 0, or 1 as the first element is less than, equal to, or greater than the second element. If the comparator function returns other values (including null), the function will fail and raise an error.

array_sort(expr, func) - 对输入数组进行排序。如果省略 func，则按升序排序。输入数组的元素必须是可排序的。对于 doublefloat 类型，NaN 大于任何非 NaN 元素。空元素将放置在返回数组的末尾。从 3.0.0 开始，此函数还根据给定的比较器函数对数组进行排序并返回。比较器将采用两个参数表示数组的两个元素。当第一个元素小于、等于或大于第二个元素时，它返回 -1、0 或 1。如果比较器函数返回其他值（包括 null），则该函数将失败并引发错误。

Examples:

> SELECT array_sort(array(5, 6, 1), (left, right) -> case when left < right then -1 when left > right then 1 else 0 end);
 [1,5,6]
> SELECT array_sort(array('bc', 'ab', 'dc'), (left, right) -> case when left is null and right is null then 0 when left is null then -1 when right is null then 1 when left < right then 1 when left > right then -1 else 0 end);
 ["dc","bc","ab"]
> SELECT array_sort(array('b', 'd', null, 'c', 'a'));
 ["a","b","c","d",null]

Since: 2.4.0

array_union

array_union(array1, array2) - Returns an array of the elements in the union of array1 and array2, without duplicates.

array_union(array1, array2) - 返回 array1 和 array2 联合中元素的数组，没有重复

Examples:

> SELECT array_union(array(1, 2, 3), array(1, 3, 5));
 [1,2,3,5]

Since: 2.4.0

arrays_overlap

arrays_overlap(a1, a2) - Returns true if a1 contains at least a non-null element present also in a2. If the arrays have no common element and they are both non-empty and either of them contains a null element null is returned, false otherwise.

arrays_overlap(a1, a2) - 如果 a1 至少包含一个也存在于 a2 中的非空元素，则返回 true。如果数组没有公共元素，并且它们都是非空的，并且它们中的任何一个都包含空元素，则返回 null，否则返回 false。

Examples:

> SELECT arrays_overlap(array(1, 2, 3), array(3, 4, 5));
 true

Since: 2.4.0

arrays_zip

arrays_zip(a1, a2, …) - Returns a merged array of structs in which the N-th struct contains all N-th values of input arrays.

arrays_zip(a1, a2, …) - 返回结构的合并数组，其中第 N 个结构包含输入数组的所有第 N 个值。

Examples:

> SELECT arrays_zip(array(1, 2, 3), array(2, 3, 4));
 [{"0":1,"1":2},{"0":2,"1":3},{"0":3,"1":4}]
> SELECT arrays_zip(array(1, 2), array(2, 3), array(3, 4));
 [{"0":1,"1":2,"2":3},{"0":2,"1":3,"2":4}]

Since: 2.4.0

ascii

ascii(str) - Returns the numeric value of the first character of str.

ascii(str) - 返回 str 的第一个字符的数值。

Examples:

> SELECT ascii('222');
 50
> SELECT ascii(2);
 50

Since: 1.5.0

asin

asin(expr) - Returns the inverse sine (a.k.a. arc sine) the arc sin of expr, as if computed by java.lang.Math.asin.

asin(expr) - 返回反正弦（也称为反正弦）expr 的反正弦，如同由java.lang.Math.asin 计算。

Examples:

> SELECT asin(0);
 0.0
> SELECT asin(2);
 NaN

Since: 1.4.0

asinh

asinh(expr) - Returns inverse hyperbolic sine of expr.

asinh(expr) - 返回 expr 的反双曲正弦值。

Examples:

> SELECT asinh(0);
 0.0

Since: 3.0.0

assert_true

assert_true(expr) - Throws an exception if expr is not true.

assert_true(expr) - 如果 expr 不为真，则抛出异常。

Examples:

> SELECT assert_true(0 < 1);
 NULL

Since: 2.0.0

atan

atan(expr) - Returns the inverse tangent (a.k.a. arc tangent) of expr, as if computed by java.lang.Math.atan

atan(expr) - 返回 expr 的反正切（又名反正切），如同由 java.lang.Math.atan 计算

Examples:

> SELECT atan(0);
 0.0

Since: 1.4.0

atan2

atan2(exprY, exprX) - Returns the angle in radians between the positive x-axis of a plane and the point given by the coordinates (exprX, exprY), as if computed by java.lang.Math.atan2.

atan2(exprY, exprX) - 返回平面的正 x 轴和坐标（exprX, exprY）给定的点之间的弧度角，就像由java.lang.Math.atan2 计算的一样。

Arguments:

exprY - coordinate on y-axis
exprX - coordinate on x-axis

Examples:

> SELECT atan2(0, 0);
 0.0

Since: 1.4.0

atanh

atanh(expr) - Returns inverse hyperbolic tangent of expr.

atanh(expr) - 返回 expr 的反双曲正切值。

Examples:

> SELECT atanh(0);
 0.0
> SELECT atanh(2);
 NaN

Since: 3.0.0

avg

avg(expr) - Returns the mean calculated from values of a group.

avg(expr) - 返回根据组值计算的平均值。

Examples:

> SELECT avg(col) FROM VALUES (1), (2), (3) AS tab(col);
 2.0
> SELECT avg(col) FROM VALUES (1), (2), (NULL) AS tab(col);
 1.5

Since: 1.0.0

base64

base64(bin) - Converts the argument from a binary bin to a base 64 string.

base64(bin) - 将参数从二进制 bin 转换为 base 64 字符串。

Examples:

> SELECT base64('Spark SQL');
 U3BhcmsgU1FM

Since: 1.5.0

between

expr1 [NOT] BETWEEN expr2 AND expr3 - evaluate if expr1 is [not] in between expr2 and expr3.

expr1 [NOT] BETWEEN expr2 AND expr3 - 评估 expr1 是否 [not] 在 expr2 和 expr3 之间。

Examples:

> SELECT col1 FROM VALUES 1, 3, 5, 7 WHERE col1 BETWEEN 2 AND 5;
 3
 5

Since: 1.0.0

bigint

bigint(expr) - Casts the value expr to the target data type bigint.

bigint(expr) - 将值 expr 转换为目标数据类型 bigint。

Since: 2.0.1

bin

bin(expr) - Returns the string representation of the long value expr represented in binary.

bin(expr) - 返回以二进制表示的长值 expr 的字符串表示形式。

Examples:

> SELECT bin(13);
 1101
> SELECT bin(-13);
 1111111111111111111111111111111111111111111111111111111111110011
> SELECT bin(13.3);
 1101

Since: 1.5.0

binary

binary(expr) - Casts the value expr to the target data type binary.

binary(expr) - 将值 expr 转换为目标数据类型 binary。

Since: 2.0.1

bit_and

bit_and(expr) - Returns the bitwise AND of all non-null input values, or null if none.

bit_and(expr) - 返回所有非空输入值的按位与，如果没有则返回空。

Examples:

> SELECT bit_and(col) FROM VALUES (3), (5) AS tab(col);
 1

Since: 3.0.0

bit_count

bit_count(expr) - Returns the number of bits that are set in the argument expr as an unsigned 64-bit integer, or NULL if the argument is NULL.

bit_count(expr) - 返回在参数 expr 中设置为无符号 64 位整数的位数，如果参数为 NULL，则返回 NULL。

Examples:

> SELECT bit_count(0);
 0

Since: 3.0.0

bit_get

bit_get(expr, pos) - Returns the value of the bit (0 or 1) at the specified position. The positions are numbered from right to left, starting at zero. The position argument cannot be negative.

bit_get(expr, pos) - 返回指定位置的位（0 或 1）的值。位置从右到左编号，从零开始。位置参数不能为负。

Examples:

> SELECT bit_get(11, 0);
 1
> SELECT bit_get(11, 2);
 0

Since: 3.2.0

bit_length

bit_length(expr) - Returns the bit length of string data or number of bits of binary data.

bit_length(expr) - 返回字符串数据的位长度或二进制数据的位数。

Examples:

> SELECT bit_length('Spark SQL');
 72

Since: 2.3.0

bit_or

bit_or(expr) - Returns the bitwise OR of all non-null input values, or null if none.

bit_or(expr) - 返回所有非空输入值的按位或，如果没有则返回空。

Examples:

> SELECT bit_or(col) FROM VALUES (3), (5) AS tab(col);
 7

Since: 3.0.0

bit_xor

bit_xor(expr) - Returns the bitwise XOR of all non-null input values, or null if none.

bit_xor(expr) - 返回所有非空输入值的按位异或，如果没有则返回空。

Examples:

> SELECT bit_xor(col) FROM VALUES (3), (5) AS tab(col);
 6

Since: 3.0.0

bool_and

bool_and(expr) - Returns true if all values of expr are true.

bool_and(expr) - 如果 expr 的所有值都为真，则返回真。

Examples:

> SELECT bool_and(col) FROM VALUES (true), (true), (true) AS tab(col);
 true
> SELECT bool_and(col) FROM VALUES (NULL), (true), (true) AS tab(col);
 true
> SELECT bool_and(col) FROM VALUES (true), (false), (true) AS tab(col);
 false

Since: 3.0.0

bool_or

bool_or(expr) - Returns true if at least one value of expr is true.

bool_or(expr) - 如果 expr 的至少一个值为真，则返回真。

Examples:

> SELECT bool_or(col) FROM VALUES (true), (false), (false) AS tab(col);
 true
> SELECT bool_or(col) FROM VALUES (NULL), (true), (false) AS tab(col);
 true
> SELECT bool_or(col) FROM VALUES (false), (false), (NULL) AS tab(col);
 false

Since: 3.0.0

boolean

boolean(expr) - Casts the value expr to the target data type boolean.

boolean(expr) - 将值 expr 转换为目标数据类型 boolean。

Since: 2.0.1

bround

bround(expr, d) - Returns expr rounded to d decimal places using HALF_EVEN rounding mode.

bround(expr, d) - 返回 expr 使用 HALF_EVEN 舍入模式舍入到 d 小数位。

Examples:

> SELECT bround(2.5, 0);
 2

Since: 2.0.0

btrim

btrim(str) - Removes the leading and trailing space characters from str.

btrim(str) - 从 str 中删除前导和尾随空格字符。

btrim(str, trimStr) - Remove the leading and trailing trimStr characters from str.

btrim(str, trimStr) - 从 str 中删除前导和尾随 trimStr 字符。

Arguments:

str - a string expression
trimStr - the trim string characters to trim, the default value is a single space

Examples:

> SELECT btrim('    SparkSQL   ');
 SparkSQL
> SELECT btrim(encode('    SparkSQL   ', 'utf-8'));
 SparkSQL
> SELECT btrim('SSparkSQLS', 'SL');
 parkSQ
> SELECT btrim(encode('SSparkSQLS', 'utf-8'), encode('SL', 'utf-8'));
 parkSQ

Since: 3.2.0

cardinality

cardinality(expr) - Returns the size of an array or a map. The function returns null for null input if spark.sql.legacy.sizeOfNull is set to false or spark.sql.ansi.enabled is set to true. Otherwise, the function returns -1 for null input. With the default settings, the function returns -1 for null input.

cardinality(expr) - 返回数组或映射的大小。如果 spark.sql.legacy.sizeOfNull 设置为 false 或 spark.sql.ansi.enabled 设置为 true，则该函数为 null 输入返回 null。否则，该函数为空输入返回 -1。在默认设置下，该函数为空输入返回 -1。

Examples:

> SELECT cardinality(array('b', 'd', 'c', 'a'));
 4
> SELECT cardinality(map('a', 1, 'b', 2));
 2
> SELECT cardinality(NULL);
 -1

Since: 1.5.0

case

CASE expr1 WHEN expr2 THEN expr3 [WHEN expr4 THEN expr5]* [ELSE expr6] END - When expr1 = expr2, returns expr3; when expr1 = expr4, return expr5; else return expr6.

CASE expr1 WHEN expr2 THEN expr3 [WHEN expr4 THEN expr5] [ELSE expr6] END - 当 expr1 = expr2 时，返回 expr3；当expr1 = expr4时，返回expr5；否则返回“expr6”。

Arguments:

expr1 - the expression which is one operand of comparison.
expr2, expr4 - the expressions each of which is the other operand of comparison.
expr3, expr5, expr6 - the branch value expressions and else value expression should all be same type or coercible to a common type.

Examples:

> SELECT CASE col1 WHEN 1 THEN 'one' WHEN 2 THEN 'two' ELSE '?' END FROM VALUES 1, 2, 3;
 one
 two
 ?
> SELECT CASE col1 WHEN 1 THEN 'one' WHEN 2 THEN 'two' END FROM VALUES 1, 2, 3;
 one
 two
 NULL

Since: 1.0.1

cast

cast(expr AS type) - Casts the value expr to the target data type type.

cast(expr AS type) - 将值 expr 转换为目标数据类型 type。

Examples:

> SELECT cast('10' as int);
 10

Since: 1.0.0

cbrt

cbrt(expr) - Returns the cube root of expr.

cbrt(expr) - 返回 expr 的立方根。

Examples:

> SELECT cbrt(27.0);
 3.0

Since: 1.4.0

ceil

ceil(expr) - Returns the smallest integer not smaller than expr.

ceil(expr) - 返回不小于 expr 的最小整数。

Examples:

> SELECT ceil(-0.1);
 0
> SELECT ceil(5);
 5

Since: 1.4.0

ceiling

ceiling(expr) - Returns the smallest integer not smaller than expr.

返回不小于 expr 的最小整数。

Examples:

> SELECT ceiling(-0.1);
 0
> SELECT ceiling(5);
 5

Since: 1.4.0

char

char(expr) - Returns the ASCII character having the binary equivalent to expr. If n is larger than 256 the result is equivalent to chr(n % 256)

返回二进制等效于 expr 的 ASCII 字符。如果 n 大于 256，则结果等价于 chr(n % 256)

Examples:

> SELECT char(65);
 A

Since: 2.3.0

char_length

char_length(expr) - Returns the character length of string data or number of bytes of binary data. The length of string data includes the trailing spaces. The length of binary data includes binary zeros.

返回字符串数据的字符长度或二进制数据的字节数。字符串数据的长度包括尾随空格。二进制数据的长度包括二进制零。

Examples:

> SELECT char_length('Spark SQL ');
 10
> SELECT CHAR_LENGTH('Spark SQL ');
 10
> SELECT CHARACTER_LENGTH('Spark SQL ');
 10

Since: 1.5.0

character_length

character_length(expr) - Returns the character length of string data or number of bytes of binary data. The length of string data includes the trailing spaces. The length of binary data includes binary zeros.

返回字符串数据的字符长度或二进制数据的字节数。字符串数据的长度包括尾随空格。二进制数据的长度包括二进制零。

Examples:

> SELECT character_length('Spark SQL ');
 10
> SELECT CHAR_LENGTH('Spark SQL ');
 10
> SELECT CHARACTER_LENGTH('Spark SQL ');
 10

Since: 1.5.0

chr

chr(expr) - Returns the ASCII character having the binary equivalent to expr. If n is larger than 256 the result is equivalent to chr(n % 256)

返回二进制等效于 expr 的 ASCII 字符。如果 n 大于 256，则结果等价于 chr(n % 256)

Examples:

> SELECT chr(65);
 A

Since: 2.3.0

coalesce

coalesce(expr1, expr2, …) - Returns the first non-null argument if exists. Otherwise, null.

如果存在，则返回第一个非空参数。否则为空。

Examples:

> SELECT coalesce(NULL, 1, NULL);
 1

Since: 1.0.0

collect_list

collect_list(expr) - Collects and returns a list of non-unique elements.

收集并返回非唯一元素的列表。

Examples:

> SELECT collect_list(col) FROM VALUES (1), (2), (1) AS tab(col);
 [1,2,1]

Note:

The function is non-deterministic because the order of collected results depends on the order of the rows which may be non-deterministic after a shuffle.

Since: 2.0.0

collect_set

collect_set(expr) - Collects and returns a set of unique elements.

收集并返回一组独特的元素。

Examples:

> SELECT collect_set(col) FROM VALUES (1), (2), (1) AS tab(col);
 [1,2]

Note:

The function is non-deterministic because the order of collected results depends on the order of the rows which may be non-deterministic after a shuffle.

Since: 2.0.0

concat

concat(col1, col2, …, colN) - Returns the concatenation of col1, col2, …, colN.

返回 col1、col2、…、colN 的串联。

Examples:

> SELECT concat('Spark', 'SQL');
 SparkSQL
> SELECT concat(array(1, 2, 3), array(4, 5), array(6));
 [1,2,3,4,5,6]

Note:

Concat logic for arrays is available since 2.4.0.

Since: 1.5.0

concat_ws

concat_ws(sep[, str | array(str)]+) - Returns the concatenation of the strings separated by sep.

返回由 sep 分隔的字符串的串联。

Examples:

> SELECT concat_ws(' ', 'Spark', 'SQL');
  Spark SQL
> SELECT concat_ws('s');

Since: 1.5.0

conv

conv(num, from_base, to_base) - Convert num from from_base to to_base.

将 number 从 from_base 转换为 to_base。

Examples:

> SELECT conv('100', 2, 10);
 4
> SELECT conv(-10, 16, -10);
 -16

Since: 1.5.0

corr

corr(expr1, expr2) - Returns Pearson coefficient of correlation between a set of number pairs.

返回一组数字对之间的 Pearson 相关系数。

Examples:

> SELECT corr(c1, c2) FROM VALUES (3, 2), (3, 3), (6, 4) as tab(c1, c2);
 0.8660254037844387

Since: 1.6.0

cos

cos(expr) - Returns the cosine of expr, as if computed by java.lang.Math.cos.

返回 expr 的余弦值，就像由 java.lang.Math.cos 计算的一样。

Arguments:

expr - angle in radians

Examples:

> SELECT cos(0);
 1.0

Since: 1.4.0

cosh

cosh(expr) - Returns the hyperbolic cosine of expr, as if computed by java.lang.Math.cosh.

返回 expr 的双曲余弦值，如同由 java.lang.Math.cosh 计算。

Arguments:

expr - hyperbolic angle

Examples:

> SELECT cosh(0);
 1.0

Since: 1.4.0

cot

cot(expr) - Returns the cotangent of expr, as if computed by 1/java.lang.Math.tan.

返回 expr 的余切，如同由 1 java.lang.Math.tan 计算。

Arguments:

expr - angle in radians

Examples:

> SELECT cot(1);
 0.6420926159343306

Since: 2.3.0

count

count(*) - Returns the total number of retrieved rows, including rows containing null.

返回检索到的总行数，包括包含 null 的行。

count(expr[, expr…]) - Returns the number of rows for which the supplied expression(s) are all non-null.

返回提供的表达式全部为非空的行数。

count(DISTINCT expr[, expr…]) - Returns the number of rows for which the supplied expression(s) are unique and non-null.

返回提供的表达式唯一且非空的行数。

Examples:

> SELECT count(*) FROM VALUES (NULL), (5), (5), (20) AS tab(col);
 4
> SELECT count(col) FROM VALUES (NULL), (5), (5), (20) AS tab(col);
 3
> SELECT count(DISTINCT col) FROM VALUES (NULL), (5), (5), (10) AS tab(col);
 2

Since: 1.0.0

count_if

count_if(expr) - Returns the number of TRUE values for the expression.

返回提供的表达式唯一且非空的行数。

Examples:

> SELECT count_if(col % 2 = 0) FROM VALUES (NULL), (0), (1), (2), (3) AS tab(col);
 2
> SELECT count_if(col IS NULL) FROM VALUES (NULL), (0), (1), (2), (3) AS tab(col);
 1

Since: 3.0.0

count_min_sketch

count_min_sketch(col, eps, confidence, seed) - Returns a count-min sketch of a column with the given esp, confidence and seed. The result is an array of bytes, which can be deserialized to a CountMinSketch before usage. Count-min sketch is a probabilistic data structure used for cardinality estimation using sub-linear space.

返回具有给定 esp、置信度和种子的列的 count-min 草图。结果是一个字节数组，可以在使用前反序列化为“CountMinSketch”。 Count-min sketch 是一种概率数据结构，用于使用次线性空间进行基数估计。

Examples:

> SELECT hex(count_min_sketch(col, 0.5d, 0.5d, 1)) FROM VALUES (1), (2), (1) AS tab(col);
 0000000100000000000000030000000100000004000000005D8D6AB90000000000000000000000000000000200000000000000010000000000000000

Since: 2.2.0

covar_pop

covar_pop(expr1, expr2) - Returns the population covariance of a set of number pairs.

返回一组数字对的总体协方差。

Examples:

> SELECT covar_pop(c1, c2) FROM VALUES (1,1), (2,2), (3,3) AS tab(c1, c2);
 0.6666666666666666

Since: 2.0.0

covar_samp

covar_samp(expr1, expr2) - Returns the sample covariance of a set of number pairs.

返回一组数字对的样本协方差。

Examples:

> SELECT covar_samp(c1, c2) FROM VALUES (1,1), (2,2), (3,3) AS tab(c1, c2);
 1.0

Since: 2.0.0

crc32

crc32(expr) - Returns a cyclic redundancy check value of the expr as a bigint.

以 bigint 形式返回 expr 的循环冗余校验值。

Examples:

> SELECT crc32('Spark');
 1557323817

Since: 1.5.0

cume_dist

cume_dist() - Computes the position of a value relative to all values in the partition.

计算一个值相对于分区中所有值的位置。

Examples:

> SELECT a, b, cume_dist() OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   0.6666666666666666
 A1 1   0.6666666666666666
 A1 2   1.0
 A2 3   1.0

Since: 2.0.0

current_catalog

current_catalog() - Returns the current catalog.

返回当前目录。

Examples:

> SELECT current_catalog();
 spark_catalog

Since: 3.1.0

current_database

current_database() - Returns the current database.

返回当前数据库。

Examples:

> SELECT current_database();
 default

Since: 1.6.0

current_date

current_date() - Returns the current date at the start of query evaluation. All calls of current_date within the same query return the same value.

返回查询评估开始时的当前日期。同一查询中对 current_date 的所有调用都返回相同的值。

current_date - Returns the current date at the start of query evaluation.

返回查询评估开始时的当前日期。

Examples:

> SELECT current_date();
 2020-04-25
> SELECT current_date;
 2020-04-25

Note:

The syntax without braces has been supported since 2.0.1.

Since: 1.5.0

current_timestamp

current_timestamp() - Returns the current timestamp at the start of query evaluation. All calls of current_timestamp within the same query return the same value.

返回查询评估开始时的当前时间戳。同一查询中对 current_timestamp 的所有调用都返回相同的值。

current_timestamp - Returns the current timestamp at the start of query evaluation.

返回查询评估开始时的当前时间戳。

Examples:

> SELECT current_timestamp();
 2020-04-25 15:49:11.914
> SELECT current_timestamp;
 2020-04-25 15:49:11.914

Note:

The syntax without braces has been supported since 2.0.1.

Since: 1.5.0

current_timezone

current_timezone() - Returns the current session local timezone.

返回当前会话本地时区。

Examples:

> SELECT current_timezone();
 Asia/Shanghai

Since: 3.1.0

current_user

current_user() - user name of current execution context.

当前执行上下文的用户名。

Examples:

> SELECT current_user();
 mockingjay

Since: 3.2.0

date

date(expr) - Casts the value expr to the target data type date.

将值 expr 转换为目标数据类型 date。

Since: 2.0.1

date_add

date_add(start_date, num_days) - Returns the date that is num_days after start_date.

返回 start_date 之后的 num_days 日期。

Examples:

> SELECT date_add('2016-07-30', 1);
 2016-07-31

Since: 1.5.0

date_format

date_format(timestamp, fmt) - Converts timestamp to a value of string in the format specified by the date format fmt.

将 timestamp 转换为日期格式 fmt 指定格式的字符串值。

Arguments:

timestamp - A date/timestamp or string to be converted to the given format.
fmt - Date/time format pattern to follow. See Datetime Patterns for valid date and time format patterns.

Examples:

> SELECT date_format('2016-04-08', 'y');
 2016

Since: 1.5.0

date_from_unix_date

date_from_unix_date(days) - Create date from the number of days since 1970-01-01.

根据自 1970-01-01 以来的天数创建日期。

Examples:

> SELECT date_from_unix_date(1);
 1970-01-02

Since: 3.1.0

date_part

date_part(field, source) - Extracts a part of the date/timestamp or interval source.

提取日期时间戳或间隔源的一部分。

Arguments:

field - selects which part of the source should be extracted, and supported string values are as same as the fields of the equivalent function EXTRACT.
source - a date/timestamp or interval column from where field should be extracted

Examples:

> SELECT date_part('YEAR', TIMESTAMP '2019-08-12 01:00:00.123456');
 2019
> SELECT date_part('week', timestamp'2019-08-12 01:00:00.123456');
 33
> SELECT date_part('doy', DATE'2019-08-12');
 224
> SELECT date_part('SECONDS', timestamp'2019-10-01 00:00:01.000001');
 1.000001
> SELECT date_part('days', interval 5 days 3 hours 7 minutes);
 5
> SELECT date_part('seconds', interval 5 hours 30 seconds 1 milliseconds 1 microseconds);
 30.001001
> SELECT date_part('MONTH', INTERVAL '2021-11' YEAR TO MONTH);
 11
> SELECT date_part('MINUTE', INTERVAL '123 23:55:59.002001' DAY TO SECOND);
 55

Note:

The date_part function is equivalent to the SQL-standard function EXTRACT(field FROM source)

Since: 3.0.0

date_sub

date_sub(start_date, num_days) - Returns the date that is num_days before start_date.

返回 start_date 之前的 num_days 日期。

Examples:

> SELECT date_sub('2016-07-30', 1);
 2016-07-29

Since: 1.5.0

date_trunc

date_trunc(fmt, ts) - Returns timestamp ts truncated to the unit specified by the format model fmt.

返回时间戳“ts”，截断为格式模型“fmt”指定的单位。

Arguments:

fmt - the format representing the unit to be truncated to
- “YEAR”, “YYYY”, “YY” - truncate to the first date of the year that the ts falls in, the time part will be zero out
- “QUARTER” - truncate to the first date of the quarter that the ts falls in, the time part will be zero out
- “MONTH”, “MM”, “MON” - truncate to the first date of the month that the ts falls in, the time part will be zero out
- “WEEK” - truncate to the Monday of the week that the ts falls in, the time part will be zero out
- “DAY”, “DD” - zero out the time part
- “HOUR” - zero out the minute and second with fraction part
- “MINUTE”- zero out the second with fraction part
- “SECOND” - zero out the second fraction part
- “MILLISECOND” - zero out the microseconds
- “MICROSECOND” - everything remains
ts - datetime value or valid timestamp string

Examples:

> SELECT date_trunc('YEAR', '2015-03-05T09:32:05.359');
 2015-01-01 00:00:00
> SELECT date_trunc('MM', '2015-03-05T09:32:05.359');
 2015-03-01 00:00:00
> SELECT date_trunc('DD', '2015-03-05T09:32:05.359');
 2015-03-05 00:00:00
> SELECT date_trunc('HOUR', '2015-03-05T09:32:05.359');
 2015-03-05 09:00:00
> SELECT date_trunc('MILLISECOND', '2015-03-05T09:32:05.123456');
 2015-03-05 09:32:05.123

Since: 2.3.0

datediff

datediff(endDate, startDate) - Returns the number of days from startDate to endDate.

返回从 startDate 到 endDate 的天数。

Examples:

> SELECT datediff('2009-07-31', '2009-07-30');
 1

> SELECT datediff('2009-07-30', '2009-07-31');
 -1

Since: 1.5.0

day

day(date) - Returns the day of month of the date/timestamp.

返回日期时间戳的月份日期。

Examples:

> SELECT day('2009-07-30');
 30

Since: 1.5.0

dayofmonth

dayofmonth(date) - Returns the day of month of the date/timestamp.

返回日期时间戳的月份日期。

Examples:

> SELECT dayofmonth('2009-07-30');
 30

Since: 1.5.0

dayofweek

dayofweek(date) - Returns the day of the week for date/timestamp (1 = Sunday, 2 = Monday, …, 7 = Saturday).

返回日期时间戳的星期几（1 = 星期日，2 = 星期一，…，7 = 星期六）。

Examples:

> SELECT dayofweek('2009-07-30');
 5

Since: 2.3.0

dayofyear

dayofyear(date) - Returns the day of year of the date/timestamp.

返回日期时间戳的年份。

Examples:

> SELECT dayofyear('2016-04-09');
 100

Since: 1.5.0

decimal

decimal(expr) - Casts the value expr to the target data type decimal.

将值 expr 转换为目标数据类型 decimal。

Since: 2.0.1

decode

decode(bin, charset) - Decodes the first argument using the second argument character set.

使用第二个参数字符集解码第一个参数。

decode(expr, search, result [, search, result ] … [, default]) - Decode compares expr to each search value one by one. If expr is equal to a search, returns the corresponding result. If no match is found, then Oracle returns default. If default is omitted, returns null.

Decode 将 expr 与每个搜索值一一进行比较。如果 expr 等于一次搜索，则返回相应的结果。如果未找到匹配项，则 Oracle 返回默认值。如果省略默认值，则返回 null。

Examples:

> SELECT decode(encode('abc', 'utf-8'), 'utf-8');
 abc
> SELECT decode(2, 1, 'Southlake', 2, 'San Francisco', 3, 'New Jersey', 4, 'Seattle', 'Non domestic');
 San Francisco
> SELECT decode(6, 1, 'Southlake', 2, 'San Francisco', 3, 'New Jersey', 4, 'Seattle', 'Non domestic');
 Non domestic
> SELECT decode(6, 1, 'Southlake', 2, 'San Francisco', 3, 'New Jersey', 4, 'Seattle');
 NULL

Since: 3.2.0

degrees

degrees(expr) - Converts radians to degrees.

将弧度转换为度数。

Arguments:

expr - angle in radians

Examples:

> SELECT degrees(3.141592653589793);
 180.0

Since: 1.4.0

dense_rank

dense_rank() - Computes the rank of a value in a group of values. The result is one plus the previously assigned rank value. Unlike the function rank, dense_rank will not produce gaps in the ranking sequence.

计算一个值在一组值中的排名。结果是先前分配的排名值加一。与函数 rank 不同，dense_rank 不会在排序序列中产生间隙。

Arguments:

children - this is to base the rank on; a change in the value of one the children will trigger a change in rank. This is an internal parameter and will be assigned by the Analyser.

Examples:

> SELECT a, b, dense_rank(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   1
 A1 1   1
 A1 2   2
 A2 3   1

Since: 2.0.0

div

expr1 div expr2 - Divide expr1 by expr2. It returns NULL if an operand is NULL or expr2 is 0. The result is casted to long.

将“expr1”除以“expr2”。如果操作数为 NULL 或 expr2 为 0，则返回 NULL。结果被强制转换为 long。

Examples:

> SELECT 3 div 2;
 1

Since: 3.0.0

double

double(expr) - Casts the value expr to the target data type double.

将值 expr 转换为目标数据类型 double。

Since: 2.0.1

e

e() - Returns Euler’s number, e.

返回欧拉数.

Examples:

> SELECT e();
 2.718281828459045

Since: 1.5.0

element_at

element_at(array, index) - Returns element of array at given (1-based) index. If index < 0, accesses elements from the last to the first. The function returns NULL if the index exceeds the length of the array and spark.sql.ansi.enabled is set to false. If spark.sql.ansi.enabled is set to true, it throws ArrayIndexOutOfBoundsException for invalid indices.

返回给定（基于 1）索引处的数组元素。如果 index < 0，则从最后一个到第一个访问元素。如果索引超过数组的长度并且 spark.sql.ansi.enabled 设置为 false，则该函数返回 NULL。如果 spark.sql.ansi.enabled 设置为 true，则会针对无效索引抛出 ArrayIndexOutOfBoundsException。

element_at(map, key) - Returns value for given key. The function returns NULL if the key is not contained in the map and spark.sql.ansi.enabled is set to false. If spark.sql.ansi.enabled is set to true, it throws NoSuchElementException instead.

返回给定键的值。如果键不包含在映射中并且 spark.sql.ansi.enabled 设置为 false，则该函数返回 NULL。如果 spark.sql.ansi.enabled 设置为 true，则会引发 NoSuchElementException。

Examples:

> SELECT element_at(array(1, 2, 3), 2);
 2
> SELECT element_at(map(1, 'a', 2, 'b'), 2);
 b

Since: 2.4.0

elt

elt(n, input1, input2, …) - Returns the n-th input, e.g., returns input2 when n is 2. The function returns NULL if the index exceeds the length of the array and spark.sql.ansi.enabled is set to false. If spark.sql.ansi.enabled is set to true, it throws ArrayIndexOutOfBoundsException for invalid indices.

返回第 n 个输入，例如，当 n 为 2 时返回 input2。如果索引超过数组的长度并且 spark.sql.ansi.enabled 设置为 false，则该函数返回 NULL。如果 spark.sql.ansi.enabled 设置为 true，则会针对无效索引抛出 ArrayIndexOutOfBoundsException。

Examples:

> SELECT elt(1, 'scala', 'java');
 scala

Since: 2.0.0

encode

encode(str, charset) - Encodes the first argument using the second argument character set.

使用第二个参数字符集对第一个参数进行编码。

Examples:

> SELECT encode('abc', 'utf-8');
 abc

Since: 1.5.0

every

every(expr) - Returns true if all values of expr are true.

如果 expr 的所有值都为真，则返回真。

Examples:

> SELECT every(col) FROM VALUES (true), (true), (true) AS tab(col);
 true
> SELECT every(col) FROM VALUES (NULL), (true), (true) AS tab(col);
 true
> SELECT every(col) FROM VALUES (true), (false), (true) AS tab(col);
 false

Since: 3.0.0

exists

exists(expr, pred) - Tests whether a predicate holds for one or more elements in the array.

测试谓词是否适用于数组中的一个或多个元素。

Examples:

> SELECT exists(array(1, 2, 3), x -> x % 2 == 0);
 true
> SELECT exists(array(1, 2, 3), x -> x % 2 == 10);
 false
> SELECT exists(array(1, null, 3), x -> x % 2 == 0);
 NULL
> SELECT exists(array(0, null, 2, 3, null), x -> x IS NULL);
 true
> SELECT exists(array(1, 2, 3), x -> x IS NULL);
 false

Since: 2.4.0

exp

exp(expr) - Returns e to the power of expr.

返回 e 的 expr 次方。

Examples:

> SELECT exp(0);
 1.0

Since: 1.4.0

explode

explode(expr) - Separates the elements of array expr into multiple rows, or the elements of map expr into multiple rows and columns. Unless specified otherwise, uses the default column name col for elements of the array or key and value for the elements of the map.

将数组“expr”的元素分成多行，或将映射“expr”的元素分成多行和多列。除非另有说明，否则对数组元素使用默认列名“col”或对映射元素使用“key”和“value”。

Examples:

> SELECT explode(array(10, 20));
 10
 20

Since: 1.0.0

explode_outer

explode_outer(expr) - Separates the elements of array expr into multiple rows, or the elements of map expr into multiple rows and columns. Unless specified otherwise, uses the default column name col for elements of the array or key and value for the elements of the map.

将数组“expr”的元素分成多行，或将映射“expr”的元素分成多行和多列。除非另有说明，否则对数组元素使用默认列名“col”或对映射元素使用“key”和“value”。

Examples:

> SELECT explode_outer(array(10, 20));
 10
 20

Since: 1.0.0

expm1

expm1(expr) - Returns exp(expr) - 1.

返回 exp(expr) - 1。

Examples:

> SELECT expm1(0);
 0.0

Since: 1.4.0

extract

extract(field FROM source) - Extracts a part of the date/timestamp or interval source.

提取日期时间戳或间隔源的一部分。

Arguments:

field - selects which part of the source should be extracted
- Supported string values of
```
field
```
  for dates and timestamps are(case insensitive):
  - “YEAR”, (“Y”, “YEARS”, “YR”, “YRS”) - the year field
  - “YEAROFWEEK” - the ISO 8601 week-numbering year that the datetime falls in. For example, 2005-01-02 is part of the 53rd week of year 2004, so the result is 2004
  - “QUARTER”, (“QTR”) - the quarter (1 - 4) of the year that the datetime falls in
  - “MONTH”, (“MON”, “MONS”, “MONTHS”) - the month field (1 - 12)
  - “WEEK”, (“W”, “WEEKS”) - the number of the ISO 8601 week-of-week-based-year. A week is considered to start on a Monday and week 1 is the first week with >3 days. In the ISO week-numbering system, it is possible for early-January dates to be part of the 52nd or 53rd week of the previous year, and for late-December dates to be part of the first week of the next year. For example, 2005-01-02 is part of the 53rd week of year 2004, while 2012-12-31 is part of the first week of 2013
  - “DAY”, (“D”, “DAYS”) - the day of the month field (1 - 31)
  - “DAYOFWEEK”,(“DOW”) - the day of the week for datetime as Sunday(1) to Saturday(7)
  - “DAYOFWEEK_ISO”,(“DOW_ISO”) - ISO 8601 based day of the week for datetime as Monday(1) to Sunday(7)
  - “DOY” - the day of the year (1 - 365/366)
  - “HOUR”, (“H”, “HOURS”, “HR”, “HRS”) - The hour field (0 - 23)
  - “MINUTE”, (“M”, “MIN”, “MINS”, “MINUTES”) - the minutes field (0 - 59)
  - “SECOND”, (“S”, “SEC”, “SECONDS”, “SECS”) - the seconds field, including fractional parts
- Supported string values of
```
field
```
  for interval(which consists of
```
months
```
  ,
```
days
```
  ,
```
microseconds
```
  ) are(case insensitive):
  - “YEAR”, (“Y”, “YEARS”, “YR”, “YRS”) - the total months / 12
  - “MONTH”, (“MON”, “MONS”, “MONTHS”) - the total months % 12
  - “DAY”, (“D”, “DAYS”) - the days part of interval
  - “HOUR”, (“H”, “HOURS”, “HR”, “HRS”) - how many hours the microseconds contains
  - “MINUTE”, (“M”, “MIN”, “MINS”, “MINUTES”) - how many minutes left after taking hours from microseconds
  - “SECOND”, (“S”, “SEC”, “SECONDS”, “SECS”) - how many second with fractions left after taking hours and minutes from microseconds
source - a date/timestamp or interval column from where field should be extracted

Examples:

> SELECT extract(YEAR FROM TIMESTAMP '2019-08-12 01:00:00.123456');
 2019
> SELECT extract(week FROM timestamp'2019-08-12 01:00:00.123456');
 33
> SELECT extract(doy FROM DATE'2019-08-12');
 224
> SELECT extract(SECONDS FROM timestamp'2019-10-01 00:00:01.000001');
 1.000001
> SELECT extract(days FROM interval 5 days 3 hours 7 minutes);
 5
> SELECT extract(seconds FROM interval 5 hours 30 seconds 1 milliseconds 1 microseconds);
 30.001001
> SELECT extract(MONTH FROM INTERVAL '2021-11' YEAR TO MONTH);
 11
> SELECT extract(MINUTE FROM INTERVAL '123 23:55:59.002001' DAY TO SECOND);
 55

Note:

The extract function is equivalent to date_part(field, source).

Since: 3.0.0

factorial

factorial(expr) - Returns the factorial of expr. expr is [0…20]. Otherwise, null.

返回 expr 的阶乘。 expr 是 [0…20]。否则为空。

Examples:

> SELECT factorial(5);
 120

Since: 1.5.0

filter

filter(expr, func) - Filters the input array using the given predicate.

使用给定谓词过滤输入数组。

Examples:

> SELECT filter(array(1, 2, 3), x -> x % 2 == 1);
 [1,3]
> SELECT filter(array(0, 2, 3), (x, i) -> x > i);
 [2,3]
> SELECT filter(array(0, null, 2, 3, null), x -> x IS NOT NULL);
 [0,2,3]

Note:

The inner function may use the index argument since 3.0.0.

Since: 2.4.0

find_in_set

find_in_set(str, str_array) - Returns the index (1-based) of the given string (str) in the comma-delimited list (str_array). Returns 0, if the string was not found or if the given string (str) contains a comma.

返回逗号分隔列表 (str_array) 中给定字符串 (str) 的索引（从 1 开始）。如果未找到字符串或给定字符串 (str) 包含逗号，则返回 0。

Examples:

> SELECT find_in_set('ab','abc,b,ab,c,def');
 3

Since: 1.5.0

first

first(expr[, isIgnoreNull]) - Returns the first value of expr for a group of rows. If isIgnoreNull is true, returns only non-null values.

返回一组行的“expr”的第一个值。如果 isIgnoreNull 为真，则仅返回非空值。

Examples:

> SELECT first(col) FROM VALUES (10), (5), (20) AS tab(col);
 10
> SELECT first(col) FROM VALUES (NULL), (5), (20) AS tab(col);
 NULL
> SELECT first(col, true) FROM VALUES (NULL), (5), (20) AS tab(col);
 5

Note:

The function is non-deterministic because its results depends on the order of the rows which may be non-deterministic after a shuffle.

Since: 2.0.0

first_value

first_value(expr[, isIgnoreNull]) - Returns the first value of expr for a group of rows. If isIgnoreNull is true, returns only non-null values.

返回一组行的“expr”的第一个值。如果 isIgnoreNull 为真，则仅返回非空值。

Examples:

> SELECT first_value(col) FROM VALUES (10), (5), (20) AS tab(col);
 10
> SELECT first_value(col) FROM VALUES (NULL), (5), (20) AS tab(col);
 NULL
> SELECT first_value(col, true) FROM VALUES (NULL), (5), (20) AS tab(col);
 5

Note:

The function is non-deterministic because its results depends on the order of the rows which may be non-deterministic after a shuffle.

Since: 2.0.0

flatten

flatten(arrayOfArrays) - Transforms an array of arrays into a single array.

将数组数组转换为单个数组。

Examples:

> SELECT flatten(array(array(1, 2), array(3, 4)));
 [1,2,3,4]

Since: 2.4.0

float

float(expr) - Casts the value expr to the target data type float.

将值 expr 转换为目标数据类型 float。

Since: 2.0.1

floor

floor(expr) - Returns the largest integer not greater than expr.

返回不大于 expr 的最大整数。

Examples:

> SELECT floor(-0.1);
 -1
> SELECT floor(5);
 5

Since: 1.4.0

forall

forall(expr, pred) - Tests whether a predicate holds for all elements in the array.

测试谓词是否适用于数组中的所有元素。

Examples:

> SELECT forall(array(1, 2, 3), x -> x % 2 == 0);
 false
> SELECT forall(array(2, 4, 8), x -> x % 2 == 0);
 true
> SELECT forall(array(1, null, 3), x -> x % 2 == 0);
 false
> SELECT forall(array(2, null, 8), x -> x % 2 == 0);
 NULL

Since: 3.0.0

format_number

format_number(expr1, expr2) - Formats the number expr1 like ‘#,###,###.##’, rounded to expr2 decimal places. If expr2 is 0, the result has no decimal point or fractional part. expr2 also accept a user specified format. This is supposed to function like MySQL’s FORMAT.

格式化数字“expr1”，如“,.”，四舍五入到“expr2”小数位。如果 expr2 为 0，则结果没有小数点或小数部分。 expr2 也接受用户指定的格式。这应该像 MySQL 的 FORMAT 一样工作。

Examples:

> SELECT format_number(12332.123456, 4);
 12,332.1235
> SELECT format_number(12332.123456, '##################.###');
 12332.123

Since: 1.5.0

format_string

format_string(strfmt, obj, …) - Returns a formatted string from printf-style format strings.

从 printf 样式的格式字符串返回一个格式化的字符串。

Examples:

> SELECT format_string("Hello World %d %s", 100, "days");
 Hello World 100 days

Since: 1.5.0

from_csv

from_csv(csvStr, schema[, options]) - Returns a struct value with the given csvStr and schema.

返回具有给定 csvStr 和 schema 的结构值。

Examples:

> SELECT from_csv('1, 0.8', 'a INT, b DOUBLE');
 {"a":1,"b":0.8}
> SELECT from_csv('26/08/2015', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy'));
 {"time":2015-08-26 00:00:00}

Since: 3.0.0

from_json

from_json(jsonStr, schema[, options]) - Returns a struct value with the given jsonStr and schema.

返回具有给定 jsonStr 和 schema 的结构值。

Examples:

> SELECT from_json('{"a":1, "b":0.8}', 'a INT, b DOUBLE');
 {"a":1,"b":0.8}
> SELECT from_json('{"time":"26/08/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy'));
 {"time":2015-08-26 00:00:00}

Since: 2.2.0

from_unixtime

from_unixtime(unix_time[, fmt]) - Returns unix_time in the specified fmt.

在指定的 fmt 中返回 unix_time。

Arguments:

unix_time - UNIX Timestamp to be converted to the provided format.
fmt - Date/time format pattern to follow. See Datetime Patterns for valid date and time format patterns. The ‘yyyy-MM-dd HH:mm:ss’ pattern is used if omitted.

Examples:

> SELECT from_unixtime(0, 'yyyy-MM-dd HH:mm:ss');
 1969-12-31 16:00:00

> SELECT from_unixtime(0);
 1969-12-31 16:00:00

Since: 1.5.0

from_utc_timestamp

from_utc_timestamp(timestamp, timezone) - Given a timestamp like ‘2017-07-14 02:40:00.0’, interprets it as a time in UTC, and renders that time as a timestamp in the given time zone. For example, ‘GMT+1’ would yield ‘2017-07-14 03:40:00.0’.

给定一个时间戳，如“2017-07-14 02:40:00.0”，将其解释为 UTC 时间，并将该时间呈现为给定时区的时间戳。例如，“GMT+1”将产生“2017-07-14 03:40:00.0”。

Examples:

> SELECT from_utc_timestamp('2016-08-31', 'Asia/Seoul');
 2016-08-31 09:00:00

Since: 1.5.0

get_json_object

get_json_object(json_txt, path) - Extracts a json object from path.

从 path 中提取一个 json 对象。

Examples:

> SELECT get_json_object('{"a":"b"}', '$.a');
 b

Since: 1.5.0

getbit

getbit(expr, pos) - Returns the value of the bit (0 or 1) at the specified position. The positions are numbered from right to left, starting at zero. The position argument cannot be negative.

返回指定位置的位（0 或 1）的值。位置从右到左编号，从零开始。位置参数不能为负。

Examples:

> SELECT getbit(11, 0);
 1
> SELECT getbit(11, 2);
 0

Since: 3.2.0

greatest

greatest(expr, …) - Returns the greatest value of all parameters, skipping null values.

返回所有参数的最大值，跳过空值。

Examples:

> SELECT greatest(10, 9, 2, 4, 3);
 10

Since: 1.5.0

grouping

grouping(col) - indicates whether a specified column in a GROUP BY is aggregated or not, returns 1 for aggregated or 0 for not aggregated in the result set.",

指示 GROUP BY 中的指定列是否聚合，在结果集中返回 1 表示已聚合或 0 表示未聚合。",

Examples:

> SELECT name, grouping(name), sum(age) FROM VALUES (2, 'Alice'), (5, 'Bob') people(age, name) GROUP BY cube(name);
  Alice 0   2
  Bob   0   5
  NULL  1   7

Since: 2.0.0

grouping_id

grouping_id([col1[, col2 …]]) - returns the level of grouping, equals to (grouping(c1) << (n-1)) + (grouping(c2) << (n-2)) + ... + grouping(cn)

返回分组的级别，等于(grouping(c1) << (n-1)) + (grouping(c2) << (n-2)) + ... + grouping(cn)

Examples:

> SELECT name, grouping_id(), sum(age), avg(height) FROM VALUES (2, 'Alice', 165), (5, 'Bob', 180) people(age, name, height) GROUP BY cube(name, height);
  Alice 0   2   165.0
  Alice 1   2   165.0
  NULL  3   7   172.5
  Bob   0   5   180.0
  Bob   1   5   180.0
  NULL  2   2   165.0
  NULL  2   5   180.0

Note:

Input columns should match with grouping columns exactly, or empty (means all the grouping columns).

Since: 2.0.0

hash

hash(expr1, expr2, …) - Returns a hash value of the arguments.

返回参数的哈希值。

Examples:

> SELECT hash('Spark', array(123), 2);
 -1321691492

Since: 2.0.0

hex

hex(expr) - Converts expr to hexadecimal.

将 expr 转换为十六进制。

Examples:

> SELECT hex(17);
 11
> SELECT hex('Spark SQL');
 537061726B2053514C

Since: 1.5.0

hour

hour(timestamp) - Returns the hour component of the string/timestamp.

返回字符串时间戳的小时部分。

Examples:

> SELECT hour('2009-07-30 12:58:59');
 12

Since: 1.5.0

hypot

hypot(expr1, expr2) - Returns sqrt(expr1**2 + expr2**2).

返回 sqrt(expr12 + expr22)。

Examples:

> SELECT hypot(3, 4);
 5.0

Since: 1.4.0

if

if(expr1, expr2, expr3) - If expr1 evaluates to true, then returns expr2; otherwise returns expr3.

如果 expr1 为真，则返回 expr2；否则返回 expr3。

Examples:

> SELECT if(1 < 2, 'a', 'b');
 a

Since: 1.0.0

ifnull

ifnull(expr1, expr2) - Returns expr2 if expr1 is null, or expr1 otherwise.

如果 expr1 为空，则返回 expr2，否则返回 expr1。

Examples:

> SELECT ifnull(NULL, array('2'));
 ["2"]

Since: 2.0.0

in

expr1 in(expr2, expr3, …) - Returns true if expr equals to any valN.

如果 expr 等于任何 valN，则返回 true。

Arguments:

expr1, expr2, expr3, … - the arguments must be same type.

Examples:

> SELECT 1 in(1, 2, 3);
 true
> SELECT 1 in(2, 3, 4);
 false
> SELECT named_struct('a', 1, 'b', 2) in(named_struct('a', 1, 'b', 1), named_struct('a', 1, 'b', 3));
 false
> SELECT named_struct('a', 1, 'b', 2) in(named_struct('a', 1, 'b', 2), named_struct('a', 1, 'b', 3));
 true

Since: 1.0.0

initcap

initcap(str) - Returns str with the first letter of each word in uppercase. All other letters are in lowercase. Words are delimited by white space.

返回 str，每个单词的首字母大写。所有其他字母均为小写字母。单词由空格分隔。

Examples:

> SELECT initcap('sPark sql');
 Spark Sql

Since: 1.5.0

inline

inline(expr) - Explodes an array of structs into a table. Uses column names col1, col2, etc. by default unless specified otherwise.

将结构数组分解为表。除非另有说明，否则默认使用列名 col1、col2 等。

Examples:

> SELECT inline(array(struct(1, 'a'), struct(2, 'b')));
 1  a
 2  b

Since: 2.0.0

inline_outer

inline_outer(expr) - Explodes an array of structs into a table. Uses column names col1, col2, etc. by default unless specified otherwise.

将结构数组分解为表。除非另有说明，否则默认使用列名 col1、col2 等。

Examples:

> SELECT inline_outer(array(struct(1, 'a'), struct(2, 'b')));
 1  a
 2  b

Since: 2.0.0

input_file_block_length

input_file_block_length() - Returns the length of the block being read, or -1 if not available.

返回正在读取的块的长度，如果不可用，则返回 -1。

Examples:

> SELECT input_file_block_length();
 -1

Since: 2.2.0

input_file_block_start

input_file_block_start() - Returns the start offset of the block being read, or -1 if not available.

返回正在读取的块的起始偏移量，如果不可用，则返回 -1。

Examples:

> SELECT input_file_block_start();
 -1

Since: 2.2.0

input_file_name

input_file_name() - Returns the name of the file being read, or empty string if not available.

返回正在读取的文件的名称，如果不可用，则返回空字符串。

Examples:

> SELECT input_file_name();

Since: 1.5.0

instr

instr(str, substr) - Returns the (1-based) index of the first occurrence of substr in str.

返回 str 中第一次出现 substr 的（从 1 开始的）索引。

Examples:

> SELECT instr('SparkSQL', 'SQL');
 6

Since: 1.5.0

int

int(expr) - Casts the value expr to the target data type int.

将值 expr 转换为目标数据类型 int。

Since: 2.0.1

isnan

isnan(expr) - Returns true if expr is NaN, or false otherwise.

如果 expr 为 NaN，则返回 true，否则返回 false。

Examples:

> SELECT isnan(cast('NaN' as double));
 true

Since: 1.5.0

isnotnull

isnotnull(expr) - Returns true if expr is not null, or false otherwise.

如果 expr 不为 null，则返回 true，否则返回 false。

Examples:

> SELECT isnotnull(1);
 true

Since: 1.0.0

isnull

isnull(expr) - Returns true if expr is null, or false otherwise.

如果 expr 为 null，则返回 true，否则返回 false。

Examples:

> SELECT isnull(1);
 false

Since: 1.0.0

java_method

java_method(class, method[, arg1[, arg2 …]]) - Calls a method with reflection.

使用反射调用方法。

Examples:

> SELECT java_method('java.util.UUID', 'randomUUID');
 c33fb387-8500-4bfa-81d2-6e0e3e930df2
> SELECT java_method('java.util.UUID', 'fromString', 'a5cf6c42-0c85-418f-af6c-3e4e5b1328f2');
 a5cf6c42-0c85-418f-af6c-3e4e5b1328f2

Since: 2.0.0

json_array_length

json_array_length(jsonArray) - Returns the number of elements in the outermost JSON array.

返回最外层JSON数组中的元素数。

Arguments:

jsonArray - A JSON array. NULL is returned in case of any other valid JSON string, NULL or an invalid JSON.

Examples:

> SELECT json_array_length('[1,2,3,4]');
  4
> SELECT json_array_length('[1,2,3,{"f1":1,"f2":[5,6]},4]');
  5
> SELECT json_array_length('[1,2');
  NULL

Since: 3.1.0

json_object_keys

json_object_keys(json_object) - Returns all the keys of the outermost JSON object as an array.

以数组形式返回最外层JSON对象的所有键。

Arguments:

json_object - A JSON object. If a valid JSON object is given, all the keys of the outermost object will be returned as an array. If it is any other valid JSON string, an invalid JSON string or an empty string, the function returns null.

Examples:

> SELECT json_object_keys('{}');
  []
> SELECT json_object_keys('{"key": "value"}');
  ["key"]
> SELECT json_object_keys('{"f1":"abc","f2":{"f3":"a", "f4":"b"}}');
  ["f1","f2"]

Since: 3.1.0

json_tuple

json_tuple(jsonStr, p1, p2, …, pn) - Returns a tuple like the function get_json_object, but it takes multiple names. All the input parameters and output column types are string.

返回一个元组，类似于函数get_json_object，但它有多个名称。所有输入参数和输出列类型都是字符串。

Examples:

> SELECT json_tuple('{"a":1, "b":2}', 'a', 'b');
 1  2

Since: 1.6.0

kurtosis

kurtosis(expr) - Returns the kurtosis value calculated from values of a group.

返回根据组的值计算的峰度值。

Examples:

> SELECT kurtosis(col) FROM VALUES (-10), (-20), (100), (1000) AS tab(col);
 -0.7014368047529627
> SELECT kurtosis(col) FROM VALUES (1), (10), (100), (10), (1) as tab(col);
 0.19432323191699075

Since: 1.6.0

lag

lag(input[, offset[, default]]) - Returns the value of input at the offsetth row before the current row in the window. The default value of offset is 1 and the default value of default is null. If the value of input at the offsetth row is null, null is returned. If there is no such offset row (e.g., when the offset is 1, the first row of the window does not have any previous row), default is returned.

返回窗口中当前行之前第’offset’行的’input’值。“offset”的默认值为1，“default”的默认值为空。如果第’offset’行的’input’值为null，则返回null。如果没有这样的偏移行（例如，当偏移量为1时，窗口的第一行没有任何前一行），则返回“default”。

Arguments:

input - a string expression to evaluate offset rows before the current row.
offset - an int expression which is rows to jump back in the partition.
default - a string expression which is to use when the offset row does not exist.

Examples:

> SELECT a, b, lag(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   NULL
 A1 1   1
 A1 2   1
 A2 3   NULL

Since: 2.0.0

last

last(expr[, isIgnoreNull]) - Returns the last value of expr for a group of rows. If isIgnoreNull is true, returns only non-null values

返回一组行的最后一个’expr’值。如果’isIgnoreNull’为true，则只返回非空值

Examples:

> SELECT last(col) FROM VALUES (10), (5), (20) AS tab(col);
 20
> SELECT last(col) FROM VALUES (10), (5), (NULL) AS tab(col);
 NULL
> SELECT last(col, true) FROM VALUES (10), (5), (NULL) AS tab(col);
 5

Note:

The function is non-deterministic because its results depends on the order of the rows which may be non-deterministic after a shuffle.

Since: 2.0.0

last_day

last_day(date) - Returns the last day of the month which the date belongs to.

返回日期所属月份的最后一天。

Examples:

> SELECT last_day('2009-01-12');
 2009-01-31

Since: 1.5.0

last_value

last_value(expr[, isIgnoreNull]) - Returns the last value of expr for a group of rows. If isIgnoreNull is true, returns only non-null values

返回一组行的最后一个’expr’值。如果’isIgnoreNull’为true，则只返回非空值

Examples:

> SELECT last_value(col) FROM VALUES (10), (5), (20) AS tab(col);
 20
> SELECT last_value(col) FROM VALUES (10), (5), (NULL) AS tab(col);
 NULL
> SELECT last_value(col, true) FROM VALUES (10), (5), (NULL) AS tab(col);
 5

Note:

The function is non-deterministic because its results depends on the order of the rows which may be non-deterministic after a shuffle.

Since: 2.0.0

lcase

lcase(str) - Returns str with all characters changed to lowercase.

返回所有字符都改为小写的’str’。

Examples:

> SELECT lcase('SparkSql');
 sparksql

Since: 1.0.1

lead

lead(input[, offset[, default]]) - Returns the value of input at the offsetth row after the current row in the window. The default value of offset is 1 and the default value of default is null. If the value of input at the offsetth row is null, null is returned. If there is no such an offset row (e.g., when the offset is 1, the last row of the window does not have any subsequent row), default is returned.

返回窗口中当前行后第’offset’行的’input’值。“offset”的默认值为1，“default”的默认值为空。如果第’offset’行的’input’值为null，则返回null。如果没有这样的偏移行（例如，当偏移量为1时，窗口的最后一行没有任何后续行），则返回“default”。

Arguments:

input - a string expression to evaluate offset rows after the current row.
offset - an int expression which is rows to jump ahead in the partition.
default - a string expression which is to use when the offset is larger than the window. The default value is null.

Examples:

> SELECT a, b, lead(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   1
 A1 1   2
 A1 2   NULL
 A2 3   NULL

Since: 2.0.0

least

least(expr, …) - Returns the least value of all parameters, skipping null values.

返回所有参数中最小的值，跳过空值。

Examples:

> SELECT least(10, 9, 2, 4, 3);
 2

Since: 1.5.0

left

left(str, len) - Returns the leftmost len(len can be string type) characters from the string str,if len is less or equal than 0 the result is an empty string.

返回字符串’str’中最左边的’len’（'len’可以是字符串类型）字符，如果’len’小于或等于0，则结果为空字符串。

Examples:

> SELECT left('Spark SQL', 3);
 Spa

Since: 2.3.0

length

length(expr) - Returns the character length of string data or number of bytes of binary data. The length of string data includes the trailing spaces. The length of binary data includes binary zeros.

返回字符串数据的字符长度或二进制数据的字节数。字符串数据的长度包括尾随空格。二进制数据的长度包括二进制零。

Examples:

> SELECT length('Spark SQL ');
 10
> SELECT CHAR_LENGTH('Spark SQL ');
 10
> SELECT CHARACTER_LENGTH('Spark SQL ');
 10

Since: 1.5.0

levenshtein

levenshtein(str1, str2) - Returns the Levenshtein distance between the two given strings.

返回两个给定字符串之间的Levenshtein距离。

Examples:

> SELECT levenshtein('kitten', 'sitting');
 3

Since: 1.5.0

like

str like pattern[ ESCAPE escape] - Returns true if str matches pattern with escape, null if any arguments are null, false otherwise.

如果str将’pattern’与’escape’匹配，则返回true；如果任何参数为null，则返回null；否则返回false。

Arguments:

str - a string expression
pattern - a string expression. The pattern is a string which is matched literally, with exception to the following special symbols:

_ matches any one character in the input (similar to . in posix regular expressions)

% matches zero or more characters in the input (similar to .* in posix regular expressions)

Since Spark 2.0, string literals are unescaped in our SQL parser. For example, in order to match “\abc”, the pattern should be “\abc”.

When SQL config ‘spark.sql.parser.escapedStringLiterals’ is enabled, it falls back to Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the pattern to match “\abc” should be “\abc”. * escape - an character added since Spark 3.0. The default escape character is the ‘’. If an escape character precedes a special symbol or another escape character, the following character is matched literally. It is invalid to escape any other character.

Examples:

> SELECT like('Spark', '_park');
true
> SET spark.sql.parser.escapedStringLiterals=true;
spark.sql.parser.escapedStringLiterals  true
> SELECT '%SystemDrive%\Users\John' like '\%SystemDrive\%\\Users%';
true
> SET spark.sql.parser.escapedStringLiterals=false;
spark.sql.parser.escapedStringLiterals  false
> SELECT '%SystemDrive%\\Users\\John' like '\%SystemDrive\%\\\\Users%';
true
> SELECT '%SystemDrive%/Users/John' like '/%SystemDrive/%//Users%' ESCAPE '/';
true

Note:

Use RLIKE to match with standard regular expressions.

Since: 1.0.0

ln

ln(expr) - Returns the natural logarithm (base e) of expr.

返回’expr’的自然对数（以e为底）。

Examples:

> SELECT ln(1);
 0.0

Since: 1.4.0

locate

locate(substr, str[, pos]) - Returns the position of the first occurrence of substr in str after position pos. The given pos and return value are 1-based.

返回“pos”之后的“str”中第一个出现的“substr”的位置。给定的’pos’和返回值是基于1的。

Examples:

> SELECT locate('bar', 'foobarbar');
 4
> SELECT locate('bar', 'foobarbar', 5);
 7
> SELECT POSITION('bar' IN 'foobarbar');
 4

Since: 1.5.0

log

log(base, expr) - Returns the logarithm of expr with base.

返回’expr’与’base’的对数。

Examples:

> SELECT log(10, 100);
 2.0

Since: 1.5.0

log10

log10(expr) - Returns the logarithm of expr with base 10.

返回以10为底的’expr’的对数。

Examples:

> SELECT log10(10);
 1.0

Since: 1.4.0

log1p

log1p(expr) - Returns log(1 + expr).

返回日志（1+expr）。

Examples:

> SELECT log1p(0);
 0.0

Since: 1.4.0

log2

log2(expr) - Returns the logarithm of expr with base 2.

返回以2为底的’expr’的对数。

Examples:

> SELECT log2(2);
 1.0

Since: 1.4.0

lower

lower(str) - Returns str with all characters changed to lowercase.

返回所有字符都改为小写的’str’。

Examples:

> SELECT lower('SparkSql');
 sparksql

Since: 1.0.1

lpad

lpad(str, len[, pad]) - Returns str, left-padded with pad to a length of len. If str is longer than len, the return value is shortened to len characters. If pad is not specified, str will be padded to the left with space characters.

返回’str’，左填充’pad’，长度为’len’。如果’str’比’len’长，则返回值将缩短为’len’个字符。如果未指定’pad’，'str’将用空格字符填充到左侧。

Examples:

> SELECT lpad('hi', 5, '??');
 ???hi
> SELECT lpad('hi', 1, '??');
 h
> SELECT lpad('hi', 5);
    hi

Since: 1.5.0

ltrim

ltrim(str) - Removes the leading space characters from str.

从“str”中删除前导空格字符。

Arguments:

str - a string expression
trimStr - the trim string characters to trim, the default value is a single space

Examples:

> SELECT ltrim('    SparkSQL   ');
 SparkSQL

Since: 1.5.0

make_date

make_date(year, month, day) - Create date from year, month and day fields.

从年、月和日字段创建日期。

Arguments:

year - the year to represent, from 1 to 9999
month - the month-of-year to represent, from 1 (January) to 12 (December)
day - the day-of-month to represent, from 1 to 31

Examples:

> SELECT make_date(2013, 7, 15);
 2013-07-15
> SELECT make_date(2019, 13, 1);
 NULL
> SELECT make_date(2019, 7, NULL);
 NULL
> SELECT make_date(2019, 2, 30);
 NULL

Since: 3.0.0

make_dt_interval

make_dt_interval([days[, hours[, mins[, secs]]]]) - Make DayTimeIntervalType duration from days, hours, mins and secs.

将DayTimeIntervalType持续时间设置为天、小时、分钟和秒。

Arguments:

days - the number of days, positive or negative
hours - the number of hours, positive or negative
mins - the number of minutes, positive or negative
secs - the number of seconds with the fractional part in microsecond precision.

Examples:

> SELECT make_dt_interval(1, 12, 30, 01.001001);
 1 12:30:01.001001000
> SELECT make_dt_interval(2);
 2 00:00:00.000000000
> SELECT make_dt_interval(100, null, 3);
 NULL

Since: 3.2.0

make_interval

make_interval([years[, months[, weeks[, days[, hours[, mins[, secs]]]]]]]) - Make interval from years, months, weeks, days, hours, mins and secs.

以年、月、周、日、小时、分钟和秒为间隔。

Arguments:

years - the number of years, positive or negative
months - the number of months, positive or negative
weeks - the number of weeks, positive or negative
days - the number of days, positive or negative
hours - the number of hours, positive or negative
mins - the number of minutes, positive or negative
secs - the number of seconds with the fractional part in microsecond precision.

Examples:

> SELECT make_interval(100, 11, 1, 1, 12, 30, 01.001001);
 100 years 11 months 8 days 12 hours 30 minutes 1.001001 seconds
> SELECT make_interval(100, null, 3);
 NULL
> SELECT make_interval(0, 1, 0, 1, 0, 0, 100.000001);
 1 months 1 days 1 minutes 40.000001 seconds

Since: 3.0.0

make_timestamp

make_timestamp(year, month, day, hour, min, sec[, timezone]) - Create timestamp from year, month, day, hour, min, sec and timezone fields. The result data type is consistent with the value of configuration spark.sql.timestampType

从年、月、日、小时、分钟、秒和时区字段创建时间戳。结果数据类型与配置’spark’的值一致。sql。时间戳类型`

Arguments:

year - the year to represent, from 1 to 9999
month - the month-of-year to represent, from 1 (January) to 12 (December)
day - the day-of-month to represent, from 1 to 31
hour - the hour-of-day to represent, from 0 to 23
min - the minute-of-hour to represent, from 0 to 59
sec - the second-of-minute and its micro-fraction to represent, from 0 to 60. The value can be either an integer like 13 , or a fraction like 13.123. If the sec argument equals to 60, the seconds field is set to 0 and 1 minute is added to the final timestamp.
timezone - the time zone identifier. For example, CET, UTC and etc.

Examples:

> SELECT make_timestamp(2014, 12, 28, 6, 30, 45.887);
 2014-12-28 06:30:45.887
> SELECT make_timestamp(2014, 12, 28, 6, 30, 45.887, 'CET');
 2014-12-27 21:30:45.887
> SELECT make_timestamp(2019, 6, 30, 23, 59, 60);
 2019-07-01 00:00:00
> SELECT make_timestamp(2019, 6, 30, 23, 59, 1);
 2019-06-30 23:59:01
> SELECT make_timestamp(2019, 13, 1, 10, 11, 12, 'PST');
 NULL
> SELECT make_timestamp(null, 7, 22, 15, 30, 0);
 NULL

Since: 3.0.0

make_ym_interval

make_ym_interval([years[, months]]) - Make year-month interval from years, months.

从年、月中设置年-月间隔。

Arguments:

years - the number of years, positive or negative
months - the number of months, positive or negative

Examples:

> SELECT make_ym_interval(1, 2);
 1-2
> SELECT make_ym_interval(1, 0);
 1-0
> SELECT make_ym_interval(-1, 1);
 -0-11
> SELECT make_ym_interval(2);
 2-0

Since: 3.2.0

map

map(key0, value0, key1, value1, …) - Creates a map with the given key/value pairs.

使用给定的键值对创建映射。

Examples:

> SELECT map(1.0, '2', 3.0, '4');
 {1.0:"2",3.0:"4"}

Since: 2.0.0

map_concat

map_concat(map, …) - Returns the union of all the given maps

返回所有给定映射的并集

Examples:

> SELECT map_concat(map(1, 'a', 2, 'b'), map(3, 'c'));
 {1:"a",2:"b",3:"c"}

Since: 2.4.0

map_entries

map_entries(map) - Returns an unordered array of all entries in the given map.

返回给定映射中所有项的无序数组。

Examples:

> SELECT map_entries(map(1, 'a', 2, 'b'));
 [{"key":1,"value":"a"},{"key":2,"value":"b"}]

Since: 3.0.0

map_filter

map_filter(expr, func) - Filters entries in a map using the function.

使用函数过滤地图中的条目。

Examples:

> SELECT map_filter(map(1, 0, 2, 2, 3, -1), (k, v) -> k > v);
 {1:0,3:-1}

Since: 3.0.0

map_from_arrays

map_from_arrays(keys, values) - Creates a map with a pair of the given key/value arrays. All elements in keys should not be null

使用一对给定的键值数组创建一个映射。键中的所有元素都不应为空

Examples:

> SELECT map_from_arrays(array(1.0, 3.0), array('2', '4'));
 {1.0:"2",3.0:"4"}

Since: 2.4.0

map_from_entries

map_from_entries(arrayOfEntries) - Returns a map created from the given array of entries.

返回从给定的条目数组创建的映射。

Examples:

> SELECT map_from_entries(array(struct(1, 'a'), struct(2, 'b')));
 {1:"a",2:"b"}

Since: 2.4.0

map_keys

map_keys(map) - Returns an unordered array containing the keys of the map.

返回包含映射键的无序数组。

Examples:

> SELECT map_keys(map(1, 'a', 2, 'b'));
 [1,2]

Since: 2.0.0

map_values

map_values(map) - Returns an unordered array containing the values of the map.

返回包含映射值的无序数组。

Examples:

> SELECT map_values(map(1, 'a', 2, 'b'));
 ["a","b"]

Since: 2.0.0

map_zip_with

map_zip_with(map1, map2, function) - Merges two given maps into a single map by applying function to the pair of values with the same key. For keys only presented in one map, NULL will be passed as the value for the missing key. If an input map contains duplicated keys, only the first entry of the duplicated key is passed into the lambda function.

通过将函数应用于具有相同键的值对，将两个给定映射合并为一个映射。对于仅在一个映射中显示的键，NULL将作为缺少的键的值传递。如果输入映射包含重复的键，则只将重复键的第一个条目传递到lambda函数中。

Examples:

> SELECT map_zip_with(map(1, 'a', 2, 'b'), map(1, 'x', 2, 'y'), (k, v1, v2) -> concat(v1, v2));
 {1:"ax",2:"by"}

Since: 3.0.0

max

max(expr) - Returns the maximum value of expr.

返回“expr”的最大值。

Examples:

> SELECT max(col) FROM VALUES (10), (50), (20) AS tab(col);
 50

Since: 1.0.0

max_by

max_by(x, y) - Returns the value of x associated with the maximum value of y.

返回与最大值“y”关联的“x”值。

Examples:

> SELECT max_by(x, y) FROM VALUES (('a', 10)), (('b', 50)), (('c', 20)) AS tab(x, y);
 b

Since: 3.0.0

md5

md5(expr) - Returns an MD5 128-bit checksum as a hex string of expr.

以十六进制字符串“expr”的形式返回MD5 128位校验和。

Examples:

> SELECT md5('Spark');
 8cde774d6f7333752ed72cacddb05126

Since: 1.5.0

mean

mean(expr) - Returns the mean calculated from values of a group.

返回根据组的值计算的平均值。

Examples:

> SELECT mean(col) FROM VALUES (1), (2), (3) AS tab(col);
 2.0
> SELECT mean(col) FROM VALUES (1), (2), (NULL) AS tab(col);
 1.5

Since: 1.0.0

min

min(expr) - Returns the minimum value of expr.

返回“expr”的最小值。

Examples:

> SELECT min(col) FROM VALUES (10), (-1), (20) AS tab(col);
 -1

Since: 1.0.0

min_by

min_by(x, y) - Returns the value of x associated with the minimum value of y.

返回与最小值“y”关联的“x”值。

Examples:

> SELECT min_by(x, y) FROM VALUES (('a', 10)), (('b', 50)), (('c', 20)) AS tab(x, y);
 a

Since: 3.0.0

minute

minute(timestamp) - Returns the minute component of the string/timestamp.

返回传入时间的秒

Examples:

> SELECT minute('2009-07-30 12:58:59');
 58

Since: 1.5.0

mod

expr1 mod expr2 - Returns the remainder after expr1/expr2.

返回’expr1’`expr2’的余数。

Examples:

> SELECT 2 % 1.8;
 0.2
> SELECT MOD(2, 1.8);
 0.2

Since: 1.0.0

monotonically_increasing_id

monotonically_increasing_id() - Returns monotonically increasing 64-bit integers. The generated ID is guaranteed to be monotonically increasing and unique, but not consecutive. The current implementation puts the partition ID in the upper 31 bits, and the lower 33 bits represent the record number within each partition. The assumption is that the data frame has less than 1 billion partitions, and each partition has less than 8 billion records. The function is non-deterministic because its result depends on partition IDs.

返回单调递增的64位整数。生成的ID保证单调递增且唯一，但不是连续的。当前的实现将分区ID放在高31位，低33位代表每个分区内的记录号。假设数据帧的分区少于10亿，每个分区的记录少于80亿条。该函数是不确定的，因为其结果取决于分区ID。

Examples:

> SELECT monotonically_increasing_id();
 0

Since: 1.4.0

month

month(date) - Returns the month component of the date/timestamp.

返回传入时间的月份

Examples:

> SELECT month('2016-07-30');
 7

Since: 1.5.0

months_between

months_between(timestamp1, timestamp2[, roundOff]) - If timestamp1 is later than timestamp2, then the result is positive. If timestamp1 and timestamp2 are on the same day of month, or both are the last day of month, time of day will be ignored. Otherwise, the difference is calculated based on 31 days per month, and rounded to 8 digits unless roundOff=false.

如果’timestamp1’晚于’timestamp2’，则结果为正。如果’timestamp1’和’timestamp2’在一个月的同一天，或者两者都是一个月的最后一天，则一天中的时间将被忽略。否则，差值按每月31天计算，并四舍五入至8位，除非四舍五入=假。

Examples:

> SELECT months_between('1997-02-28 10:30:00', '1996-10-30');
 3.94959677
> SELECT months_between('1997-02-28 10:30:00', '1996-10-30', false);
 3.9495967741935485

Since: 1.5.0

named_struct

named_struct(name1, val1, name2, val2, …) - Creates a struct with the given field names and values.

使用给定的字段名和值创建结构。

Examples:

> SELECT named_struct("a", 1, "b", 2, "c", 3);
 {"a":1,"b":2,"c":3}

Since: 1.5.0

nanvl

nanvl(expr1, expr2) - Returns expr1 if it’s not NaN, or expr2 otherwise.

如果不是NaN，则返回’expr1’，否则返回’expr2’。

Examples:

> SELECT nanvl(cast('NaN' as double), 123);
 123.0

Since: 1.5.0

negative

negative(expr) - Returns the negated value of expr.

返回“expr”的反值。

Examples:

> SELECT negative(1);
 -1

Since: 1.0.0

next_day

next_day(start_date, day_of_week) - Returns the first date which is later than start_date and named as indicated. The function returns NULL if at least one of the input parameters is NULL. When both of the input parameters are not NULL and day_of_week is an invalid input, the function throws IllegalArgumentException if spark.sql.ansi.enabled is set to true, otherwise NULL.

返回第一个日期，该日期晚于“开始日期”，并按指示命名。如果至少有一个输入参数为NULL，则函数返回NULL。当两个输入参数都不为NULL，且周中的天为无效输入时，如果’spark’，函数将抛出IllegalArgumentException。sql。ansi。enabled`设置为true，否则为NULL。

Examples:

> SELECT next_day('2015-01-14', 'TU');
 2015-01-20

Since: 1.5.0

not

not expr - Logical not.

Examples:

> SELECT not true;
 false
> SELECT not false;
 true
> SELECT not NULL;
 NULL

Since: 1.0.0

now

now() - Returns the current timestamp at the start of query evaluation.

返回查询计算开始时的当前时间戳。

Examples:

> SELECT now();
 2020-04-25 15:49:11.914

Since: 1.6.0

nth_value

nth_value(input[, offset]) - Returns the value of input at the row that is the offsetth row from beginning of the window frame. Offset starts at 1. If ignoreNulls=true, we will skip nulls when finding the offsetth row. Otherwise, every row counts for the offset. If there is no such an offsetth row (e.g., when the offset is 10, size of the window frame is less than 10), null is returned.

返回从窗口框架开始的第’offset’行的’input’值。偏移量从1开始。如果ignoreNulls=true，我们将在查找第’offset’行时跳过nulls。否则，每一行都算作“偏移量”。如果没有这样的“offset”第行（例如，当offset为10时，窗口帧的大小小于10），则返回null。

Arguments:

input - the target column or expression that the function operates on.
offset - a positive int literal to indicate the offset in the window frame. It starts with 1.
ignoreNulls - an optional specification that indicates the NthValue should skip null values in the determination of which row to use.

Examples:

> SELECT a, b, nth_value(b, 2) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   1
 A1 1   1
 A1 2   1
 A2 3   NULL

Since: 3.1.0

ntile

ntile(n) - Divides the rows for each window partition into n buckets ranging from 1 to at most n.

将每个窗口分区的行划分为’n’个bucket，范围从1到至多’n’。

Arguments:

buckets - an int expression which is number of buckets to divide the rows in. Default value is 1.

Examples:

> SELECT a, b, ntile(2) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   1
 A1 1   1
 A1 2   2
 A2 3   1

Since: 2.0.0

nullif

nullif(expr1, expr2) - Returns null if expr1 equals to expr2, or expr1 otherwise.

如果’expr1’等于’expr2’，则返回null，否则返回’expr1’。

Examples:

> SELECT nullif(2, 2);
 NULL

Since: 2.0.0

nvl

nvl(expr1, expr2) - Returns expr2 if expr1 is null, or expr1 otherwise.

Returns expr2 if expr1 is null, or expr1 otherwise.

Examples:

> SELECT nvl(NULL, array('2'));
 ["2"]

Since: 2.0.0

nvl2

nvl2(expr1, expr2, expr3) - Returns expr2 if expr1 is not null, or expr3 otherwise.

如果’expr1’不为空，则返回’expr2’，否则返回’expr3’。

Examples:

> SELECT nvl2(NULL, 2, 1);
 1

Since: 2.0.0

octet_length

octet_length(expr) - Returns the byte length of string data or number of bytes of binary data.

返回字符串数据的字节长度或二进制数据的字节数。

Examples:

> SELECT octet_length('Spark SQL');
 9

Since: 2.3.0

or

expr1 or expr2 - Logical OR.

Examples:

> SELECT true or false;
 true
> SELECT false or false;
 false
> SELECT true or NULL;
 true
> SELECT false or NULL;
 NULL

Since: 1.0.0

overlay

overlay(input, replace, pos[, len]) - Replace input with replace that starts at pos and is of length len.

将’input’替换为从’pos’开始、长度为’len’的’Replace’。

Examples:

> SELECT overlay('Spark SQL' PLACING '_' FROM 6);
 Spark_SQL
> SELECT overlay('Spark SQL' PLACING 'CORE' FROM 7);
 Spark CORE
> SELECT overlay('Spark SQL' PLACING 'ANSI ' FROM 7 FOR 0);
 Spark ANSI SQL
> SELECT overlay('Spark SQL' PLACING 'tructured' FROM 2 FOR 4);
 Structured SQL
> SELECT overlay(encode('Spark SQL', 'utf-8') PLACING encode('_', 'utf-8') FROM 6);
 Spark_SQL
> SELECT overlay(encode('Spark SQL', 'utf-8') PLACING encode('CORE', 'utf-8') FROM 7);
 Spark CORE
> SELECT overlay(encode('Spark SQL', 'utf-8') PLACING encode('ANSI ', 'utf-8') FROM 7 FOR 0);
 Spark ANSI SQL
> SELECT overlay(encode('Spark SQL', 'utf-8') PLACING encode('tructured', 'utf-8') FROM 2 FOR 4);
 Structured SQL

Since: 3.0.0

parse_url

parse_url(url, partToExtract[, key]) - Extracts a part from a URL.

从URL中提取一部分。

Examples:

> SELECT parse_url('http://spark.apache.org/path?query=1', 'HOST');
 spark.apache.org
> SELECT parse_url('http://spark.apache.org/path?query=1', 'QUERY');
 query=1
> SELECT parse_url('http://spark.apache.org/path?query=1', 'QUERY', 'query');
 1

Since: 2.0.0

percent_rank

percent_rank() - Computes the percentage ranking of a value in a group of values.

计算一个值在一组值中的百分比排名。

Arguments:

children - this is to base the rank on; a change in the value of one the children will trigger a change in rank. This is an internal parameter and will be assigned by the Analyser.

Examples:

> SELECT a, b, percent_rank(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   0.0
 A1 1   0.0
 A1 2   1.0
 A2 3   0.0

Since: 2.0.0

percentile

percentile(col, percentage [, frequency]) - Returns the exact percentile value of numeric column col at the given percentage. The value of percentage must be between 0.0 and 1.0. The value of frequency should be positive integral

返回给定百分比下数值列’col’的精确百分位值。百分比的值必须介于0.0和1.0之间。频率值应为正积分

percentile(col, array(percentage1 [, percentage2]…) [, frequency]) - Returns the exact percentile value array of numeric column col at the given percentage(s). Each value of the percentage array must be between 0.0 and 1.0. The value of frequency should be positive integral

返回给定百分比下数值列“col”的精确百分位值数组。百分比数组的每个值必须介于0.0和1.0之间。频率值应为正积分

Examples:

> SELECT percentile(col, 0.3) FROM VALUES (0), (10) AS tab(col);
 3.0
> SELECT percentile(col, array(0.25, 0.75)) FROM VALUES (0), (10) AS tab(col);
 [2.5,7.5]

Since: 2.1.0

percentile_approx

percentile_approx(col, percentage [, accuracy]) - Returns the approximate percentile of the numeric column col which is the smallest value in the ordered col values (sorted from least to greatest) such that no more than percentage of col values is less than the value or equal to that value. The value of percentage must be between 0.0 and 1.0. The accuracy parameter (default: 10000) is a positive numeric literal which controls approximation accuracy at the cost of memory. Higher value of accuracy yields better accuracy, 1.0/accuracy is the relative error of the approximation. When percentage is an array, each value of the percentage array must be between 0.0 and 1.0. In this case, returns the approximate percentile array of column col at the given percentage array.

返回数值列’col’的近似’percentile’，它是有序’col’值（从最小到最大排序）中的最小值，因此’col’值中小于或等于该值的百分比不超过’percentile’。百分比的值必须介于0.0和1.0之间。默认情况下，`literal’控制精度为10000的数值近似值。“精度”的值越高，精度越好，“1.0精度”是近似值的相对误差。当’percentage’是一个数组时，percentage数组的每个值必须介于0.0和1.0之间。在本例中，返回给定百分比数组中“col”列的近似百分比数组。

Examples:

> SELECT percentile_approx(col, array(0.5, 0.4, 0.1), 100) FROM VALUES (0), (1), (2), (10) AS tab(col);
 [1,1,0]
> SELECT percentile_approx(col, 0.5, 100) FROM VALUES (0), (6), (7), (9), (10) AS tab(col);
 7

Since: 2.1.0

pi

pi() - Returns pi.

返回π

Examples:

> SELECT pi();
 3.141592653589793

Since: 1.5.0

pmod

pmod(expr1, expr2) - Returns the positive value of expr1 mod expr2.

返回’expr1’mod’expr2’的正值。

Examples:

> SELECT pmod(10, 3);
 1
> SELECT pmod(-10, 3);
 2

Since: 1.5.0

posexplode

posexplode(expr) - Separates the elements of array expr into multiple rows with positions, or the elements of map expr into multiple rows and columns with positions. Unless specified otherwise, uses the column name pos for position, col for elements of the array or key and value for elements of the map.

将数组“expr”的元素分隔为多个带位置的行，或将map“expr”的元素分隔为多个带位置的行和列。除非另有规定，否则使用列名’pos’表示位置，'col’表示数组元素，或使用’key’和’value’表示映射元素。

Examples:

> SELECT posexplode(array(10,20));
 0  10
 1  20

Since: 2.0.0

posexplode_outer

posexplode_outer(expr) - Separates the elements of array expr into multiple rows with positions, or the elements of map expr into multiple rows and columns with positions. Unless specified otherwise, uses the column name pos for position, col for elements of the array or key and value for elements of the map.

将数组“expr”的元素分隔为多个带位置的行，或将map“expr”的元素分隔为多个带位置的行和列。除非另有规定，否则使用列名’pos’表示位置，'col’表示数组元素，或使用’key’和’value’表示映射元素。

Examples:

> SELECT posexplode_outer(array(10,20));
 0  10
 1  20

Since: 2.0.0

position

position(substr, str[, pos]) - Returns the position of the first occurrence of substr in str after position pos. The given pos and return value are 1-based.

返回“pos”之后的“str”中第一个出现的“substr”的位置。给定的’pos’和返回值是基于1的。

Examples:

> SELECT position('bar', 'foobarbar');
 4
> SELECT position('bar', 'foobarbar', 5);
 7
> SELECT POSITION('bar' IN 'foobarbar');
 4

Since: 1.5.0

positive

positive(expr) - Returns the value of expr.

返回’expr’的值。

Examples:

> SELECT positive(1);
 1

Since: 1.5.0

pow

pow(expr1, expr2) - Raises expr1 to the power of expr2.

expr1的expr2次幂

Examples:

> SELECT pow(2, 3);
 8.0

Since: 1.4.0

power

power(expr1, expr2) - Raises expr1 to the power of expr2.

expr1的expr2次幂

Examples:

> SELECT power(2, 3);
 8.0

Since: 1.4.0

printf

printf(strfmt, obj, …) - Returns a formatted string from printf-style format strings.

从printf样式的格式字符串返回格式化字符串。

Examples:

> SELECT printf("Hello World %d %s", 100, "days");
 Hello World 100 days

Since: 1.5.0

quarter

quarter(date) - Returns the quarter of the year for date, in the range 1 to 4.

返回日期的年度季度，范围为1到4。

Examples:

> SELECT quarter('2016-08-31');
 3

Since: 1.5.0

radians

radians(expr) - Converts degrees to radians.

将度转换为弧度。

Arguments:

expr - angle in degrees

Examples:

> SELECT radians(180);
 3.141592653589793

Since: 1.4.0

raise_error

raise_error(expr) - Throws an exception with expr.

抛出带有“expr”的异常。

Examples:

> SELECT raise_error('custom error message');
 java.lang.RuntimeException
 custom error message

Since: 3.1.0

rand

rand([seed]) - Returns a random value with independent and identically distributed (i.i.d.) uniformly distributed values in [0, 1).

返回一个随机值，其中[0,1]中的值独立且均匀分布（i.i.d.）。

Examples:

> SELECT rand();
 0.9629742951434543
> SELECT rand(0);
 0.7604953758285915
> SELECT rand(null);
 0.7604953758285915

Note:

The function is non-deterministic in general case.

Since: 1.5.0

randn

randn([seed]) - Returns a random value with independent and identically distributed (i.i.d.) values drawn from the standard normal distribution.

返回一个随机值，其中包含从标准正态分布中提取的独立且同分布（i.i.d.）值。

Examples:

> SELECT randn();
 -0.3254147983080288
> SELECT randn(0);
 1.6034991609278433
> SELECT randn(null);
 1.6034991609278433

Note:

The function is non-deterministic in general case.

Since: 1.5.0

random

random([seed]) - Returns a random value with independent and identically distributed (i.i.d.) uniformly distributed values in [0, 1).

返回一个随机值，其中[0,1]中的值独立且均匀分布（i.i.d.）。

Examples:

> SELECT random();
 0.9629742951434543
> SELECT random(0);
 0.7604953758285915
> SELECT random(null);
 0.7604953758285915

Note:

The function is non-deterministic in general case.

Since: 1.5.0

rank

rank() - Computes the rank of a value in a group of values. The result is one plus the number of rows preceding or equal to the current row in the ordering of the partition. The values will produce gaps in the sequence.

计算一个值在一组值中的排名。结果是1加上分区顺序中当前行之前或等于当前行的行数。这些值将在序列中产生间隙。

Arguments:

children - this is to base the rank on; a change in the value of one the children will trigger a change in rank. This is an internal parameter and will be assigned by the Analyser.

Examples:

> SELECT a, b, rank(b) OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   1
 A1 1   1
 A1 2   3
 A2 3   1

Since: 2.0.0

reflect

reflect(class, method[, arg1[, arg2 …]]) - Calls a method with reflection.

调用带有反射的方法。

Examples:

> SELECT reflect('java.util.UUID', 'randomUUID');
 c33fb387-8500-4bfa-81d2-6e0e3e930df2
> SELECT reflect('java.util.UUID', 'fromString', 'a5cf6c42-0c85-418f-af6c-3e4e5b1328f2');
 a5cf6c42-0c85-418f-af6c-3e4e5b1328f2

Since: 2.0.0

regexp

regexp(str, regexp) - Returns true if str matches regexp, or false otherwise.

如果’str’与’regexp’匹配，则返回true，否则返回false。

Arguments:

str - a string expression
regexp - a string expression. The regex string should be a Java regular expression.

Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL parser. For example, to match “\abc”, a regular expression for regexp can be “^\abc$”.

There is a SQL config ‘spark.sql.parser.escapedStringLiterals’ that can be used to fallback to the Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the regexp that can match “\abc” is “^\abc$”.

Examples:

> SET spark.sql.parser.escapedStringLiterals=true;
spark.sql.parser.escapedStringLiterals  true
> SELECT regexp('%SystemDrive%\Users\John', '%SystemDrive%\\Users.*');
true
> SET spark.sql.parser.escapedStringLiterals=false;
spark.sql.parser.escapedStringLiterals  false
> SELECT regexp('%SystemDrive%\\Users\\John', '%SystemDrive%\\\\Users.*');
true

Note:

Use LIKE to match with simple string pattern.

Since: 3.2.0

regexp_extract

regexp_extract(str, regexp[, idx]) - Extract the first string in the str that match the regexp expression and corresponding to the regex group index.

提取’str’中与’regexp’表达式匹配并与regex组索引对应的第一个字符串。

Arguments:

str - a string expression.
regexp - a string representing a regular expression. The regex string should be a Java regular expression.

Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL parser. For example, to match “\abc”, a regular expression for regexp can be “^\abc$”.

There is a SQL config ‘spark.sql.parser.escapedStringLiterals’ that can be used to fallback to the Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the regexp that can match “\abc” is “^\abc$”. * idx - an integer expression that representing the group index. The regex maybe contains multiple groups. idx indicates which regex group to extract. The group index should be non-negative. The minimum value of idx is 0, which means matching the entire regular expression. If idx is not specified, the default group index value is 1. The idx parameter is the Java regex Matcher group() method index.

Examples:

> SELECT regexp_extract('100-200', '(\\d+)-(\\d+)', 1);
 100

Since: 1.5.0

regexp_extract_all

regexp_extract_all(str, regexp[, idx]) - Extract all strings in the str that match the regexp expression and corresponding to the regex group index.

提取’str’中与’regexp’表达式匹配并与regex组索引对应的所有字符串。

Arguments:

str - a string expression.
regexp - a string representing a regular expression. The regex string should be a Java regular expression.

Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL parser. For example, to match “\abc”, a regular expression for regexp can be “^\abc$”.

There is a SQL config ‘spark.sql.parser.escapedStringLiterals’ that can be used to fallback to the Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the regexp that can match “\abc” is “^\abc$”. * idx - an integer expression that representing the group index. The regex may contains multiple groups. idx indicates which regex group to extract. The group index should be non-negative. The minimum value of idx is 0, which means matching the entire regular expression. If idx is not specified, the default group index value is 1. The idx parameter is the Java regex Matcher group() method index.

Examples:

> SELECT regexp_extract_all('100-200, 300-400', '(\\d+)-(\\d+)', 1);
 ["100","300"]

Since: 3.1.0

regexp_like

regexp_like(str, regexp) - Returns true if str matches regexp, or false otherwise.

如果’str’与’regexp’匹配，则返回true，否则返回false。

Arguments:

str - a string expression
regexp - a string expression. The regex string should be a Java regular expression.

Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL parser. For example, to match “\abc”, a regular expression for regexp can be “^\abc$”.

There is a SQL config ‘spark.sql.parser.escapedStringLiterals’ that can be used to fallback to the Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the regexp that can match “\abc” is “^\abc$”.

Examples:

> SET spark.sql.parser.escapedStringLiterals=true;
spark.sql.parser.escapedStringLiterals  true
> SELECT regexp_like('%SystemDrive%\Users\John', '%SystemDrive%\\Users.*');
true
> SET spark.sql.parser.escapedStringLiterals=false;
spark.sql.parser.escapedStringLiterals  false
> SELECT regexp_like('%SystemDrive%\\Users\\John', '%SystemDrive%\\\\Users.*');
true

Note:

Use LIKE to match with simple string pattern.

Since: 3.2.0

regexp_replace

regexp_replace(str, regexp, rep[, position]) - Replaces all substrings of str that match regexp with rep.

将与“regexp”匹配的所有“str”子字符串替换为“rep”。

Arguments:

str - a string expression to search for a regular expression pattern match.
regexp - a string representing a regular expression. The regex string should be a Java regular expression.

Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL parser. For example, to match “\abc”, a regular expression for regexp can be “^\abc$”.

There is a SQL config ‘spark.sql.parser.escapedStringLiterals’ that can be used to fallback to the Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the regexp that can match “\abc” is “^\abc$”. * rep - a string expression to replace matched substrings. * position - a positive integer literal that indicates the position within str to begin searching. The default is 1. If position is greater than the number of characters in str, the result is str.

Examples:

> SELECT regexp_replace('100-200', '(\\d+)', 'num');
 num-num

Since: 1.5.0

repeat

repeat(str, n) - Returns the string which repeats the given string value n times.

返回将给定字符串值重复n次的字符串。

Examples:

> SELECT repeat('123', 2);
 123123

Since: 1.5.0

replace

replace(str, search[, replace]) - Replaces all occurrences of search with replace.

将str字符串中的search替换为replace

Arguments:

str - a string expression
search - a string expression. If search is not found in str, str is returned unchanged.
replace - a string expression. If replace is not specified or is an empty string, nothing replaces the string that is removed from str.

Examples:

> SELECT replace('ABCabc', 'abc', 'DEF');
 ABCDEF

Since: 2.3.0

reverse

reverse(array) - Returns a reversed string or an array with reverse order of elements.

返回array的反转数组

Examples:

> SELECT reverse('Spark SQL');
 LQS krapS
> SELECT reverse(array(2, 1, 4, 3));
 [3,4,1,2]

Note:

Reverse logic for arrays is available since 2.4.0.

Since: 1.5.0

right

right(str, len) - Returns the rightmost len(len can be string type) characters from the string str,if len is less or equal than 0 the result is an empty string.

返回字符串’str’中最右边的’len’（'len’可以是字符串类型）字符，如果’len’小于或等于0，则结果为空字符串。

Examples:

> SELECT right('Spark SQL', 3);
 SQL

Since: 2.3.0

rint

rint(expr) - Returns the double value that is closest in value to the argument and is equal to a mathematical integer.

返回与参数值最接近且等于数学整数的双精度值。

Examples:

> SELECT rint(12.3456);
 12.0

Since: 1.4.0

rlike

rlike(str, regexp) - Returns true if str matches regexp, or false otherwise.

如果 str中包含regexp就返回True否则就返回false

Arguments:

str - a string expression
regexp - a string expression. The regex string should be a Java regular expression.

Since Spark 2.0, string literals (including regex patterns) are unescaped in our SQL parser. For example, to match “\abc”, a regular expression for regexp can be “^\abc$”.

There is a SQL config ‘spark.sql.parser.escapedStringLiterals’ that can be used to fallback to the Spark 1.6 behavior regarding string literal parsing. For example, if the config is enabled, the regexp that can match “\abc” is “^\abc$”.

Examples:

> SET spark.sql.parser.escapedStringLiterals=true;
spark.sql.parser.escapedStringLiterals  true
> SELECT rlike('%SystemDrive%\Users\John', '%SystemDrive%\\Users.*');
true
> SET spark.sql.parser.escapedStringLiterals=false;
spark.sql.parser.escapedStringLiterals  false
> SELECT rlike('%SystemDrive%\\Users\\John', '%SystemDrive%\\\\Users.*');
true

Note:

Use LIKE to match with simple string pattern.

Since: 1.0.0

round

round(expr, d) - Returns expr rounded to d decimal places using HALF_UP rounding mode.

保留传入expr数字 d长度的小数

Examples:

> SELECT round(2.5, 0);
 3

Since: 1.5.0

row_number

row_number() - Assigns a unique, sequential number to each row, starting with one, according to the ordering of rows within the window partition.

按照行号排序（窗口函数）

Examples:

> SELECT a, b, row_number() OVER (PARTITION BY a ORDER BY b) FROM VALUES ('A1', 2), ('A1', 1), ('A2', 3), ('A1', 1) tab(a, b);
 A1 1   1
 A1 1   2
 A1 2   3
 A2 3   1

Since: 2.0.0

rpad

rpad(str, len[, pad]) - Returns str, right-padded with pad to a length of len. If str is longer than len, the return value is shortened to len characters. If pad is not specified, str will be padded to the right with space characters.

Examples:

> SELECT rpad('hi', 5, '??');
 hi???
> SELECT rpad('hi', 1, '??');
 h
> SELECT rpad('hi', 5);
 hi

Since: 1.5.0

rtrim

rtrim(str) - Removes the trailing space characters from str.

去除str右边的空格

Arguments:

str - a string expression
trimStr - the trim string characters to trim, the default value is a single space

Examples:

> SELECT rtrim('    SparkSQL   ');
 SparkSQL

Since: 1.5.0

schema_of_csv

schema_of_csv(csv[, options]) - Returns schema in the DDL format of CSV string.

以CSV字符串的DDL格式返回架构。

Examples:

> SELECT schema_of_csv('1,abc');
 STRUCT<`_c0`: INT, `_c1`: STRING>

Since: 3.0.0

schema_of_json

schema_of_json(json[, options]) - Returns schema in the DDL format of JSON string.

以JSON字符串的DDL格式返回架构。

Examples:

> SELECT schema_of_json('[{"col":0}]');
 ARRAY>
> SELECT schema_of_json('[{"col":01}]', map('allowNumericLeadingZeros', 'true'));
 ARRAY>

Since: 2.4.0

second

second(timestamp) - Returns the second component of the string/timestamp.

返回传入时间的分钟

Examples:

> SELECT second('2009-07-30 12:58:59');
 59

Since: 1.5.0

sentences

sentences(str[, lang, country]) - Splits str into an array of array of words.

将传入的字符串切割成多个数组

Examples:

> SELECT sentences('Hi there! Good morning.');
 [["Hi","there"],["Good","morning"]]

Since: 2.0.0

sequence

sequence(start, stop, step) - Generates an array of elements from start to stop (inclusive), incrementing by step. The type of the returned elements is the same as the type of argument expressions.

生成区间范围内的数组

Supported types are: byte, short, integer, long, date, timestamp.

The start and stop expressions must resolve to the same type. If start and stop expressions resolve to the ‘date’ or ‘timestamp’ type then the step expression must resolve to the ‘interval’ or ‘year-month interval’ or ‘day-time interval’ type, otherwise to the same type as the start and stop expressions.

Arguments:

start - an expression. The start of the range.
stop - an expression. The end the range (inclusive).
step - an optional expression. The step of the range. By default step is 1 if start is less than or equal to stop, otherwise -1. For the temporal sequences it’s 1 day and -1 day respectively. If start is greater than stop then the step must be negative, and vice versa.

Examples:

> SELECT sequence(1, 5);
 [1,2,3,4,5]
> SELECT sequence(5, 1);
 [5,4,3,2,1]
> SELECT sequence(to_date('2018-01-01'), to_date('2018-03-01'), interval 1 month);
 [2018-01-01,2018-02-01,2018-03-01]
> SELECT sequence(to_date('2018-01-01'), to_date('2018-03-01'), interval '0-1' year to month);
 [2018-01-01,2018-02-01,2018-03-01]

Since: 2.4.0

session_window

session_window(time_column, gap_duration) - Generates session window given a timestamp specifying column and gap duration. See ‘Types of time windows’ in Structured Streaming guide doc for detailed explanation and examples.

Arguments:

time_column - The column or the expression to use as the timestamp for windowing by time. The time column must be of TimestampType.
gap_duration - A string specifying the timeout of the session represented as “interval value” (See Interval Literal for more details.) for the fixed gap duration, or an expression which is applied for each input and evaluated to the “interval value” for the dynamic gap duration.

Examples:

> SELECT a, session_window.start, session_window.end, count(*) as cnt FROM VALUES ('A1', '2021-01-01 00:00:00'), ('A1', '2021-01-01 00:04:30'), ('A1', '2021-01-01 00:10:00'), ('A2', '2021-01-01 00:01:00') AS tab(a, b) GROUP by a, session_window(b, '5 minutes') ORDER BY a, start;
  A1    2021-01-01 00:00:00 2021-01-01 00:09:30 2
  A1    2021-01-01 00:10:00 2021-01-01 00:15:00 1
  A2    2021-01-01 00:01:00 2021-01-01 00:06:00 1
> SELECT a, session_window.start, session_window.end, count(*) as cnt FROM VALUES ('A1', '2021-01-01 00:00:00'), ('A1', '2021-01-01 00:04:30'), ('A1', '2021-01-01 00:10:00'), ('A2', '2021-01-01 00:01:00'), ('A2', '2021-01-01 00:04:30') AS tab(a, b) GROUP by a, session_window(b, CASE WHEN a = 'A1' THEN '5 minutes' WHEN a = 'A2' THEN '1 minute' ELSE '10 minutes' END) ORDER BY a, start;
  A1    2021-01-01 00:00:00 2021-01-01 00:09:30 2
  A1    2021-01-01 00:10:00 2021-01-01 00:15:00 1
  A2    2021-01-01 00:01:00 2021-01-01 00:02:00 1
  A2    2021-01-01 00:04:30 2021-01-01 00:05:30 1

Since: 3.2.0

sha

sha(expr) - Returns a sha1 hash value as a hex string of the expr.

Examples:

> SELECT sha('Spark');
 85f5955f4b27a9a4c2aab6ffe5d7189fc298b92c

Since: 1.5.0

sha1

sha1(expr) - Returns a sha1 hash value as a hex string of the expr.

Examples:

> SELECT sha1('Spark');
 85f5955f4b27a9a4c2aab6ffe5d7189fc298b92c

Since: 1.5.0

sha2

sha2(expr, bitLength) - Returns a checksum of SHA-2 family as a hex string of expr. SHA-224, SHA-256, SHA-384, and SHA-512 are supported. Bit length of 0 is equivalent to 256.

Examples:

> SELECT sha2('Spark', 256);
 529bc3b07127ecb7e53a4dcf1991d9152c24537d919178022b2c42657f79a26b

Since: 1.5.0

shiftleft

shiftleft(base, expr) - Bitwise left shift.

Examples:

> SELECT shiftleft(2, 1);
 4

Since: 1.5.0

shiftright

shiftright(base, expr) - Bitwise (signed) right shift.

Examples:

> SELECT shiftright(4, 1);
 2

Since: 1.5.0

shiftrightunsigned

shiftrightunsigned(base, expr) - Bitwise unsigned right shift.

Examples:

> SELECT shiftrightunsigned(4, 1);
 2

Since: 1.5.0

shuffle

shuffle(array) - Returns a random permutation of the given array.

Examples:

> SELECT shuffle(array(1, 20, 3, 5));
 [3,1,5,20]
> SELECT shuffle(array(1, 20, null, 3));
 [20,null,3,1]

Note:

The function is non-deterministic.

Since: 2.4.0

sign

sign(expr) - Returns -1.0, 0.0 or 1.0 as expr is negative, 0 or positive.

Examples:

> SELECT sign(40);
 1.0

Since: 1.4.0

signum

signum(expr) - Returns -1.0, 0.0 or 1.0 as expr is negative, 0 or positive.

Examples:

> SELECT signum(40);
 1.0

Since: 1.4.0

sin

sin(expr) - Returns the sine of expr, as if computed by java.lang.Math.sin.

Arguments:

expr - angle in radians

Examples:

> SELECT sin(0);
 0.0

Since: 1.4.0

sinh

sinh(expr) - Returns hyperbolic sine of expr, as if computed by java.lang.Math.sinh.

Arguments:

expr - hyperbolic angle

Examples:

> SELECT sinh(0);
 0.0

Since: 1.4.0

size

size(expr) - Returns the size of an array or a map. The function returns null for null input if spark.sql.legacy.sizeOfNull is set to false or spark.sql.ansi.enabled is set to true. Otherwise, the function returns -1 for null input. With the default settings, the function returns -1 for null input.

Examples:

> SELECT size(array('b', 'd', 'c', 'a'));
 4
> SELECT size(map('a', 1, 'b', 2));
 2
> SELECT size(NULL);
 -1

Since: 1.5.0

skewness

skewness(expr) - Returns the skewness value calculated from values of a group.

Examples:

> SELECT skewness(col) FROM VALUES (-10), (-20), (100), (1000) AS tab(col);
 1.1135657469022011
> SELECT skewness(col) FROM VALUES (-1000), (-100), (10), (20) AS tab(col);
 -1.1135657469022011

Since: 1.6.0

slice

slice(x, start, length) - Subsets array x starting from index start (array indices start at 1, or starting from the end if start is negative) with the specified length.

Examples:

> SELECT slice(array(1, 2, 3, 4), 2, 2);
 [2,3]
> SELECT slice(array(1, 2, 3, 4), -2, 2);
 [3,4]

Since: 2.4.0

smallint

smallint(expr) - Casts the value expr to the target data type smallint.

Since: 2.0.1

some

some(expr) - Returns true if at least one value of expr is true.

Examples:

> SELECT some(col) FROM VALUES (true), (false), (false) AS tab(col);
 true
> SELECT some(col) FROM VALUES (NULL), (true), (false) AS tab(col);
 true
> SELECT some(col) FROM VALUES (false), (false), (NULL) AS tab(col);
 false

Since: 3.0.0

sort_array

sort_array(array[, ascendingOrder]) - Sorts the input array in ascending or descending order according to the natural ordering of the array elements. NaN is greater than any non-NaN elements for double/float type. Null elements will be placed at the beginning of the returned array in ascending order or at the end of the returned array in descending order.

Examples:

> SELECT sort_array(array('b', 'd', null, 'c', 'a'), true);
 [null,"a","b","c","d"]

Since: 1.5.0

soundex

soundex(str) - Returns Soundex code of the string.

Examples:

> SELECT soundex('Miller');
 M460

Since: 1.5.0

space

space(n) - Returns a string consisting of n spaces.

Examples:

> SELECT concat(space(2), '1');
   1

Since: 1.5.0

spark_partition_id

spark_partition_id() - Returns the current partition id.

Examples:

> SELECT spark_partition_id();
 0

Since: 1.4.0

split

split(str, regex, limit) - Splits str around occurrences that match regex and returns an array with a length of at most limit

Arguments:

str - a string expression to split.
regex - a string representing a regular expression. The regex string should be a Java regular expression.
limit - an integer expression which controls the number of times the regex is applied.
- limit > 0: The resulting array’s length will not be more than limit, and the resulting array’s last entry will contain all input beyond the last matched regex.
- limit <= 0: regex will be applied as many times as possible, and the resulting array can be of any size.

Examples:

> SELECT split('oneAtwoBthreeC', '[ABC]');
 ["one","two","three",""]
> SELECT split('oneAtwoBthreeC', '[ABC]', -1);
 ["one","two","three",""]
> SELECT split('oneAtwoBthreeC', '[ABC]', 2);
 ["one","twoBthreeC"]

Since: 1.5.0

sqrt

sqrt(expr) - Returns the square root of expr.

Examples:

> SELECT sqrt(4);
 2.0

Since: 1.1.1

stack

stack(n, expr1, …, exprk) - Separates expr1, …, exprk into n rows. Uses column names col0, col1, etc. by default unless specified otherwise.

Examples:

> SELECT stack(2, 1, 2, 3);
 1  2
 3  NULL

Since: 2.0.0

std

std(expr) - Returns the sample standard deviation calculated from values of a group.

Examples:

> SELECT std(col) FROM VALUES (1), (2), (3) AS tab(col);
 1.0

Since: 1.6.0

stddev

stddev(expr) - Returns the sample standard deviation calculated from values of a group.

Examples:

> SELECT stddev(col) FROM VALUES (1), (2), (3) AS tab(col);
 1.0

Since: 1.6.0

stddev_pop

stddev_pop(expr) - Returns the population standard deviation calculated from values of a group.

Examples:

> SELECT stddev_pop(col) FROM VALUES (1), (2), (3) AS tab(col);
 0.816496580927726

Since: 1.6.0

stddev_samp

stddev_samp(expr) - Returns the sample standard deviation calculated from values of a group.

Examples:

> SELECT stddev_samp(col) FROM VALUES (1), (2), (3) AS tab(col);
 1.0

Since: 1.6.0

str_to_map

str_to_map(text[, pairDelim[, keyValueDelim]]) - Creates a map after splitting the text into key/value pairs using delimiters. Default delimiters are ‘,’ for pairDelim and ‘:’ for keyValueDelim. Both pairDelim and keyValueDelim are treated as regular expressions.

Examples:

> SELECT str_to_map('a:1,b:2,c:3', ',', ':');
 {"a":"1","b":"2","c":"3"}
> SELECT str_to_map('a');
 {"a":null}

Since: 2.0.1

string

string(expr) - Casts the value expr to the target data type string.

Since: 2.0.1

struct

struct(col1, col2, col3, …) - Creates a struct with the given field values.

Examples:

> SELECT struct(1, 2, 3);
 {"col1":1,"col2":2,"col3":3}

Since: 1.4.0

substr

substr(str, pos[, len]) - Returns the substring of str that starts at pos and is of length len, or the slice of byte array that starts at pos and is of length len.

substr(str FROM pos[ FOR len]]) - Returns the substring of str that starts at pos and is of length len, or the slice of byte array that starts at pos and is of length len.

Examples:

> SELECT substr('Spark SQL', 5);
 k SQL
> SELECT substr('Spark SQL', -3);
 SQL
> SELECT substr('Spark SQL', 5, 1);
 k
> SELECT substr('Spark SQL' FROM 5);
 k SQL
> SELECT substr('Spark SQL' FROM -3);
 SQL
> SELECT substr('Spark SQL' FROM 5 FOR 1);
 k

Since: 1.5.0

substring

substring(str, pos[, len]) - Returns the substring of str that starts at pos and is of length len, or the slice of byte array that starts at pos and is of length len.

substring(str FROM pos[ FOR len]]) - Returns the substring of str that starts at pos and is of length len, or the slice of byte array that starts at pos and is of length len.

Examples:

> SELECT substring('Spark SQL', 5);
 k SQL
> SELECT substring('Spark SQL', -3);
 SQL
> SELECT substring('Spark SQL', 5, 1);
 k
> SELECT substring('Spark SQL' FROM 5);
 k SQL
> SELECT substring('Spark SQL' FROM -3);
 SQL
> SELECT substring('Spark SQL' FROM 5 FOR 1);
 k

Since: 1.5.0

substring_index

substring_index(str, delim, count) - Returns the substring from str before count occurrences of the delimiter delim. If count is positive, everything to the left of the final delimiter (counting from the left) is returned. If count is negative, everything to the right of the final delimiter (counting from the right) is returned. The function substring_index performs a case-sensitive match when searching for delim.

Examples:

> SELECT substring_index('www.apache.org', '.', 2);
 www.apache

Since: 1.5.0

sum

sum(expr) - Returns the sum calculated from values of a group.

Examples:

> SELECT sum(col) FROM VALUES (5), (10), (15) AS tab(col);
 30
> SELECT sum(col) FROM VALUES (NULL), (10), (15) AS tab(col);
 25
> SELECT sum(col) FROM VALUES (NULL), (NULL) AS tab(col);
 NULL

Since: 1.0.0

tan

tan(expr) - Returns the tangent of expr, as if computed by java.lang.Math.tan.

Arguments:

expr - angle in radians

Examples:

> SELECT tan(0);
 0.0

Since: 1.4.0

tanh

tanh(expr) - Returns the hyperbolic tangent of expr, as if computed by java.lang.Math.tanh.

Arguments:

expr - hyperbolic angle

Examples:

> SELECT tanh(0);
 0.0

Since: 1.4.0

timestamp

timestamp(expr) - Casts the value expr to the target data type timestamp.

Since: 2.0.1

timestamp_micros

timestamp_micros(microseconds) - Creates timestamp from the number of microseconds since UTC epoch.

Examples:

> SELECT timestamp_micros(1230219000123123);
 2008-12-25 07:30:00.123123

Since: 3.1.0

timestamp_millis

timestamp_millis(milliseconds) - Creates timestamp from the number of milliseconds since UTC epoch.

Examples:

> SELECT timestamp_millis(1230219000123);
 2008-12-25 07:30:00.123

Since: 3.1.0

timestamp_seconds

timestamp_seconds(seconds) - Creates timestamp from the number of seconds (can be fractional) since UTC epoch.

Examples:

> SELECT timestamp_seconds(1230219000);
 2008-12-25 07:30:00
> SELECT timestamp_seconds(1230219000.123);
 2008-12-25 07:30:00.123

Since: 3.1.0

tinyint

tinyint(expr) - Casts the value expr to the target data type tinyint.

Since: 2.0.1

to_csv

to_csv(expr[, options]) - Returns a CSV string with a given struct value

Examples:

> SELECT to_csv(named_struct('a', 1, 'b', 2));
 1,2
> SELECT to_csv(named_struct('time', to_timestamp('2015-08-26', 'yyyy-MM-dd')), map('timestampFormat', 'dd/MM/yyyy'));
 26/08/2015

Since: 3.0.0

to_date

to_date(date_str[, fmt]) - Parses the date_str expression with the fmt expression to a date. Returns null with invalid input. By default, it follows casting rules to a date if the fmt is omitted.

Arguments:

date_str - A string to be parsed to date.
fmt - Date format pattern to follow. See Datetime Patterns for valid date and time format patterns.

Examples:

> SELECT to_date('2009-07-30 04:17:52');
 2009-07-30
> SELECT to_date('2016-12-31', 'yyyy-MM-dd');
 2016-12-31

Since: 1.5.0

to_json

to_json(expr[, options]) - Returns a JSON string with a given struct value

Examples:

> SELECT to_json(named_struct('a', 1, 'b', 2));
 {"a":1,"b":2}
> SELECT to_json(named_struct('time', to_timestamp('2015-08-26', 'yyyy-MM-dd')), map('timestampFormat', 'dd/MM/yyyy'));
 {"time":"26/08/2015"}
> SELECT to_json(array(named_struct('a', 1, 'b', 2)));
 [{"a":1,"b":2}]
> SELECT to_json(map('a', named_struct('b', 1)));
 {"a":{"b":1}}
> SELECT to_json(map(named_struct('a', 1),named_struct('b', 2)));
 {"[1]":{"b":2}}
> SELECT to_json(map('a', 1));
 {"a":1}
> SELECT to_json(array((map('a', 1))));
 [{"a":1}]

Since: 2.2.0

to_timestamp

to_timestamp(timestamp_str[, fmt]) - Parses the timestamp_str expression with the fmt expression to a timestamp. Returns null with invalid input. By default, it follows casting rules to a timestamp if the fmt is omitted. The result data type is consistent with the value of configuration spark.sql.timestampType.

Arguments:

timestamp_str - A string to be parsed to timestamp.
fmt - Timestamp format pattern to follow. See Datetime Patterns for valid date and time format patterns.

Examples:

> SELECT to_timestamp('2016-12-31 00:12:00');
 2016-12-31 00:12:00
> SELECT to_timestamp('2016-12-31', 'yyyy-MM-dd');
 2016-12-31 00:00:00

Since: 2.2.0

to_unix_timestamp

to_unix_timestamp(timeExp[, fmt]) - Returns the UNIX timestamp of the given time.

Arguments:

timeExp - A date/timestamp or string which is returned as a UNIX timestamp.
fmt - Date/time format pattern to follow. Ignored if timeExp is not a string. Default value is “yyyy-MM-dd HH:mm:ss”. See Datetime Patterns for valid date and time format patterns.

Examples:

> SELECT to_unix_timestamp('2016-04-08', 'yyyy-MM-dd');
 1460098800

Since: 1.6.0

to_utc_timestamp

to_utc_timestamp(timestamp, timezone) - Given a timestamp like ‘2017-07-14 02:40:00.0’, interprets it as a time in the given time zone, and renders that time as a timestamp in UTC. For example, ‘GMT+1’ would yield ‘2017-07-14 01:40:00.0’.

Examples:

> SELECT to_utc_timestamp('2016-08-31', 'Asia/Seoul');
 2016-08-30 15:00:00

Since: 1.5.0

transform

transform(expr, func) - Transforms elements in an array using the function.

Examples:

> SELECT transform(array(1, 2, 3), x -> x + 1);
 [2,3,4]
> SELECT transform(array(1, 2, 3), (x, i) -> x + i);
 [1,3,5]

Since: 2.4.0

transform_keys

transform_keys(expr, func) - Transforms elements in a map using the function.

Examples:

> SELECT transform_keys(map_from_arrays(array(1, 2, 3), array(1, 2, 3)), (k, v) -> k + 1);
 {2:1,3:2,4:3}
> SELECT transform_keys(map_from_arrays(array(1, 2, 3), array(1, 2, 3)), (k, v) -> k + v);
 {2:1,4:2,6:3}

Since: 3.0.0

transform_values

transform_values(expr, func) - Transforms values in the map using the function.

Examples:

> SELECT transform_values(map_from_arrays(array(1, 2, 3), array(1, 2, 3)), (k, v) -> v + 1);
 {1:2,2:3,3:4}
> SELECT transform_values(map_from_arrays(array(1, 2, 3), array(1, 2, 3)), (k, v) -> k + v);
 {1:2,2:4,3:6}

Since: 3.0.0

translate

translate(input, from, to) - Translates the input string by replacing the characters present in the from string with the corresponding characters in the to string.

Examples:

> SELECT translate('AaBbCc', 'abc', '123');
 A1B2C3

Since: 1.5.0

trim

trim(str) - Removes the leading and trailing space characters from str.

trim(BOTH FROM str) - Removes the leading and trailing space characters from str.

trim(LEADING FROM str) - Removes the leading space characters from str.

trim(TRAILING FROM str) - Removes the trailing space characters from str.

trim(trimStr FROM str) - Remove the leading and trailing trimStr characters from str.

trim(BOTH trimStr FROM str) - Remove the leading and trailing trimStr characters from str.

trim(LEADING trimStr FROM str) - Remove the leading trimStr characters from str.

trim(TRAILING trimStr FROM str) - Remove the trailing trimStr characters from str.

Arguments:

str - a string expression
trimStr - the trim string characters to trim, the default value is a single space
BOTH, FROM - these are keywords to specify trimming string characters from both ends of the string
LEADING, FROM - these are keywords to specify trimming string characters from the left end of the string
TRAILING, FROM - these are keywords to specify trimming string characters from the right end of the string

Examples:

> SELECT trim('    SparkSQL   ');
 SparkSQL
> SELECT trim(BOTH FROM '    SparkSQL   ');
 SparkSQL
> SELECT trim(LEADING FROM '    SparkSQL   ');
 SparkSQL
> SELECT trim(TRAILING FROM '    SparkSQL   ');
     SparkSQL
> SELECT trim('SL' FROM 'SSparkSQLS');
 parkSQ
> SELECT trim(BOTH 'SL' FROM 'SSparkSQLS');
 parkSQ
> SELECT trim(LEADING 'SL' FROM 'SSparkSQLS');
 parkSQLS
> SELECT trim(TRAILING 'SL' FROM 'SSparkSQLS');
 SSparkSQ

Since: 1.5.0

trunc

trunc(date, fmt) - Returns date with the time portion of the day truncated to the unit specified by the format model fmt.

Arguments:

date - date value or valid date string
fmt - the format representing the unit to be truncated to
- “YEAR”, “YYYY”, “YY” - truncate to the first date of the year that the date falls in
- “QUARTER” - truncate to the first date of the quarter that the date falls in
- “MONTH”, “MM”, “MON” - truncate to the first date of the month that the date falls in
- “WEEK” - truncate to the Monday of the week that the date falls in

Examples:

> SELECT trunc('2019-08-04', 'week');
 2019-07-29
> SELECT trunc('2019-08-04', 'quarter');
 2019-07-01
> SELECT trunc('2009-02-12', 'MM');
 2009-02-01
> SELECT trunc('2015-10-27', 'YEAR');
 2015-01-01

Since: 1.5.0

try_add

try_add(expr1, expr2) - Returns the sum of expr1and expr2 and the result is null on overflow. The acceptable input types are the same with the + operator.

Examples:

> SELECT try_add(1, 2);
 3
> SELECT try_add(2147483647, 1);
 NULL
> SELECT try_add(date'2021-01-01', 1);
 2021-01-02
> SELECT try_add(date'2021-01-01', interval 1 year);
 2022-01-01
> SELECT try_add(timestamp'2021-01-01 00:00:00', interval 1 day);
 2021-01-02 00:00:00
> SELECT try_add(interval 1 year, interval 2 year);
 3-0

Since: 3.2.0

try_divide

try_divide(dividend, divisor) - Returns dividend/divisor. It always performs floating point division. Its result is always null if expr2 is 0. dividend must be a numeric or an interval. divisor must be a numeric.

Examples:

> SELECT try_divide(3, 2);
 1.5
> SELECT try_divide(2L, 2L);
 1.0
> SELECT try_divide(1, 0);
 NULL
> SELECT try_divide(interval 2 month, 2);
 0-1
> SELECT try_divide(interval 2 month, 0);
 NULL

Since: 3.2.0

typeof

typeof(expr) - Return DDL-formatted type string for the data type of the input.

Examples:

> SELECT typeof(1);
 int
> SELECT typeof(array(1));
 array

Since: 3.0.0

ucase

ucase(str) - Returns str with all characters changed to uppercase.

Examples:

> SELECT ucase('SparkSql');
 SPARKSQL

Since: 1.0.1

unbase64

unbase64(str) - Converts the argument from a base 64 string str to a binary.

Examples:

> SELECT unbase64('U3BhcmsgU1FM');
 Spark SQL

Since: 1.5.0

unhex

unhex(expr) - Converts hexadecimal expr to binary.

Examples:

> SELECT decode(unhex('537061726B2053514C'), 'UTF-8');
 Spark SQL

Since: 1.5.0

unix_date

unix_date(date) - Returns the number of days since 1970-01-01.

Examples:

> SELECT unix_date(DATE("1970-01-02"));
 1

Since: 3.1.0

unix_micros

unix_micros(timestamp) - Returns the number of microseconds since 1970-01-01 00:00:00 UTC.

Examples:

> SELECT unix_micros(TIMESTAMP('1970-01-01 00:00:01Z'));
 1000000

Since: 3.1.0

unix_millis

unix_millis(timestamp) - Returns the number of milliseconds since 1970-01-01 00:00:00 UTC. Truncates higher levels of precision.

Examples:

> SELECT unix_millis(TIMESTAMP('1970-01-01 00:00:01Z'));
 1000

Since: 3.1.0

unix_seconds

unix_seconds(timestamp) - Returns the number of seconds since 1970-01-01 00:00:00 UTC. Truncates higher levels of precision.

Examples:

> SELECT unix_seconds(TIMESTAMP('1970-01-01 00:00:01Z'));
 1

Since: 3.1.0

unix_timestamp

unix_timestamp([timeExp[, fmt]]) - Returns the UNIX timestamp of current or specified time.

Arguments:

timeExp - A date/timestamp or string. If not provided, this defaults to current time.
fmt - Date/time format pattern to follow. Ignored if timeExp is not a string. Default value is “yyyy-MM-dd HH:mm:ss”. See Datetime Patterns for valid date and time format patterns.

Examples:

> SELECT unix_timestamp();
 1476884637
> SELECT unix_timestamp('2016-04-08', 'yyyy-MM-dd');
 1460041200

Since: 1.5.0

upper

upper(str) - Returns str with all characters changed to uppercase.

Examples:

> SELECT upper('SparkSql');
 SPARKSQL

Since: 1.0.1

uuid

uuid() - Returns an universally unique identifier (UUID) string. The value is returned as a canonical UUID 36-character string.

Examples:

> SELECT uuid();
 46707d92-02f4-4817-8116-a4c3b23e6266

Note:

The function is non-deterministic.

Since: 2.3.0

var_pop

var_pop(expr) - Returns the population variance calculated from values of a group.

Examples:

> SELECT var_pop(col) FROM VALUES (1), (2), (3) AS tab(col);
 0.6666666666666666

Since: 1.6.0

var_samp

var_samp(expr) - Returns the sample variance calculated from values of a group.

Examples:

> SELECT var_samp(col) FROM VALUES (1), (2), (3) AS tab(col);
 1.0

Since: 1.6.0

variance

variance(expr) - Returns the sample variance calculated from values of a group.

Examples:

> SELECT variance(col) FROM VALUES (1), (2), (3) AS tab(col);
 1.0

Since: 1.6.0

version

version() - Returns the Spark version. The string contains 2 fields, the first being a release version and the second being a git revision.

Examples:

> SELECT version();
 3.1.0 a6d6ea3efedbad14d99c24143834cd4e2e52fb40

Since: 3.0.0

weekday

weekday(date) - Returns the day of the week for date/timestamp (0 = Monday, 1 = Tuesday, …, 6 = Sunday).

Examples:

> SELECT weekday('2009-07-30');
 3

Since: 2.4.0

weekofyear

weekofyear(date) - Returns the week of the year of the given date. A week is considered to start on a Monday and week 1 is the first week with >3 days.

Examples:

> SELECT weekofyear('2008-02-20');
 8

Since: 1.5.0

when

CASE WHEN expr1 THEN expr2 [WHEN expr3 THEN expr4]* [ELSE expr5] END - When expr1 = true, returns expr2; else when expr3 = true, returns expr4; else returns expr5.

Arguments:

expr1, expr3 - the branch condition expressions should all be boolean type.
expr2, expr4, expr5 - the branch value expressions and else value expression should all be same type or coercible to a common type.

Examples:

> SELECT CASE WHEN 1 > 0 THEN 1 WHEN 2 > 0 THEN 2.0 ELSE 1.2 END;
 1.0
> SELECT CASE WHEN 1 < 0 THEN 1 WHEN 2 > 0 THEN 2.0 ELSE 1.2 END;
 2.0
> SELECT CASE WHEN 1 < 0 THEN 1 WHEN 2 < 0 THEN 2.0 END;
 NULL

Since: 1.0.1

width_bucket

width_bucket(value, min_value, max_value, num_bucket) - Returns the bucket number to which value would be assigned in an equiwidth histogram with num_bucket buckets, in the range min_value to max_value."

Examples:

> SELECT width_bucket(5.3, 0.2, 10.6, 5);
 3
> SELECT width_bucket(-2.1, 1.3, 3.4, 3);
 0
> SELECT width_bucket(8.1, 0.0, 5.7, 4);
 5
> SELECT width_bucket(-0.9, 5.2, 0.5, 2);
 3

Since: 3.1.0

window

window(time_column, window_duration[, slide_duration[, start_time]]) - Bucketize rows into one or more time windows given a timestamp specifying column. Window starts are inclusive but the window ends are exclusive, e.g. 12:05 will be in the window [12:05,12:10) but not in [12:00,12:05). Windows can support microsecond precision. Windows in the order of months are not supported. See ‘Window Operations on Event Time’ in Structured Streaming guide doc for detailed explanation and examples.

Arguments:

time_column - The column or the expression to use as the timestamp for windowing by time. The time column must be of TimestampType.
window_duration - A string specifying the width of the window represented as “interval value”. (See Interval Literal for more details.) Note that the duration is a fixed length of time, and does not vary over time according to a calendar.
slide_duration - A string specifying the sliding interval of the window represented as “interval value”. A new window will be generated every slide_duration. Must be less than or equal to the window_duration. This duration is likewise absolute, and does not vary according to a calendar.
start_time - The offset with respect to 1970-01-01 00:00:00 UTC with which to start window intervals. For example, in order to have hourly tumbling windows that start 15 minutes past the hour, e.g. 12:15-13:15, 13:15-14:15… provide start_time as 15 minutes.

Examples:

> SELECT a, window.start, window.end, count(*) as cnt FROM VALUES ('A1', '2021-01-01 00:00:00'), ('A1', '2021-01-01 00:04:30'), ('A1', '2021-01-01 00:06:00'), ('A2', '2021-01-01 00:01:00') AS tab(a, b) GROUP by a, window(b, '5 minutes') ORDER BY a, start;
  A1    2021-01-01 00:00:00 2021-01-01 00:05:00 2
  A1    2021-01-01 00:05:00 2021-01-01 00:10:00 1
  A2    2021-01-01 00:00:00 2021-01-01 00:05:00 1
> SELECT a, window.start, window.end, count(*) as cnt FROM VALUES ('A1', '2021-01-01 00:00:00'), ('A1', '2021-01-01 00:04:30'), ('A1', '2021-01-01 00:06:00'), ('A2', '2021-01-01 00:01:00') AS tab(a, b) GROUP by a, window(b, '10 minutes', '5 minutes') ORDER BY a, start;
  A1    2020-12-31 23:55:00 2021-01-01 00:05:00 2
  A1    2021-01-01 00:00:00 2021-01-01 00:10:00 3
  A1    2021-01-01 00:05:00 2021-01-01 00:15:00 1
  A2    2020-12-31 23:55:00 2021-01-01 00:05:00 1
  A2    2021-01-01 00:00:00 2021-01-01 00:10:00 1

Since: 2.0.0

xpath

xpath(xml, xpath) - Returns a string array of values within the nodes of xml that match the XPath expression.

Examples:

> SELECT xpath('b1b2b3c1c2','a/b/text()');
 ["b1","b2","b3"]

Since: 2.0.0

xpath_boolean

xpath_boolean(xml, xpath) - Returns true if the XPath expression evaluates to true, or if a matching node is found.

Examples:

> SELECT xpath_boolean('1','a/b');
 true

Since: 2.0.0

xpath_double

xpath_double(xml, xpath) - Returns a double value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.

Examples:

> SELECT xpath_double('12', 'sum(a/b)');
 3.0

Since: 2.0.0

xpath_float

xpath_float(xml, xpath) - Returns a float value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.

Examples:

> SELECT xpath_float('12', 'sum(a/b)');
 3.0

Since: 2.0.0

xpath_int

xpath_int(xml, xpath) - Returns an integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.

Examples:

> SELECT xpath_int('12', 'sum(a/b)');
 3

Since: 2.0.0

xpath_long

xpath_long(xml, xpath) - Returns a long integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.

Examples:

> SELECT xpath_long('12', 'sum(a/b)');
 3

Since: 2.0.0

xpath_number

xpath_number(xml, xpath) - Returns a double value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.

Examples:

> SELECT xpath_number('12', 'sum(a/b)');
 3.0

Since: 2.0.0

xpath_short

xpath_short(xml, xpath) - Returns a short integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.

Examples:

> SELECT xpath_short('12', 'sum(a/b)');
 3

Since: 2.0.0

xpath_string

xpath_string(xml, xpath) - Returns the text contents of the first xml node that matches the XPath expression.

Examples:

> SELECT xpath_string('bcc','a/c');
 cc

Since: 2.0.0

xxhash64

xxhash64(expr1, expr2, …) - Returns a 64-bit hash value of the arguments.

Xxhash64(expr1，expr2，…)-返回参数的64位散列值。

Examples:

> SELECT xxhash64('Spark', array(123), 2);
 5602566077635097486

Since: 3.0.0

year

year(date) - Returns the year component of the date/timestamp.

返回日期/时间戳的年份部分。

Examples:

> SELECT year('2016-07-30');
 2016

Since: 1.5.0

zip_with

zip_with(left, right, func) - Merges the two given arrays, element-wise, into a single array using function. If one array is shorter, nulls are appended at the end to match the length of the longer array, before applying function.

Zip _ with (left，right，func)-将给定的两个数组按元素合并为一个数组，使用函数。如果一个数组比较短，则在应用函数之前，在末尾追加空值以匹配较长数组的长度。

Examples:

> SELECT zip_with(array(1, 2, 3), array('a', 'b', 'c'), (x, y) -> (y, x));
 [{"y":"a","x":1},{"y":"b","x":2},{"y":"c","x":3}]
> SELECT zip_with(array(1, 2), array(3, 4), (x, y) -> x + y);
 [4,6]
> SELECT zip_with(array('a', 'b', 'c'), array('d', 'e', 'f'), (x, y) -> concat(x, y));
 ["ad","be","cf"]

Since: 2.4.0

|

expr1 | expr2 - Returns the result of bitwise OR of expr1 and expr2.

返回结果按位或expr1 expr

Examples:

> SELECT 3 | 5;
 7

Since: 1.4.0

||

expr1 || expr2 - Returns the concatenation of expr1 and expr2.

Expr1 | | expr2-返回 expr1和 expr2的连接。

Examples:

> SELECT 'Spark' || 'SQL';
 SparkSQL
> SELECT array(1, 2, 3) || array(4, 5) || array(6);
 [1,2,3,4,5,6]

Note:

|| for arrays is available since 2.4.0.

Since: 2.3.0

~

~ expr - Returns the result of bitwise NOT of expr.

返回 expr 的按位 NOT 结果。

Examples:

> SELECT ~ 0;
 -1

Since: 1.4.0