Hive第二天学习内容总结

Hive 第三天

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第二天内容回顾

Hive帮助文档的地址

https://cwiki.apache.org/confluence/display/Hive/Home

Hive SQL Language Manual:  Commands, CLIs, Data Types,
DDL (create/drop/alter/truncate/show/describe), Statistics (analyze), Indexes, Archiving,
DML (load/insert/update/delete/merge, import/export, explain plan),
Queries (select), Operators and UDFs, Locks, Authorization
File Formats and Compression:  RCFile, Avro, ORC, Parquet; Compression, LZO
Procedural Language:  Hive HPL/SQL
Hive Configuration Properties
Hive Clients
Hive Client (JDBC, ODBC, Thrift)
HiveServer2:  Overview, HiveServer2 Client and Beeline, Hive Metrics

DDL

https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL

database

1. create
2. drop
3. alter
4. Use

Table

Create

CREATE [TEMPORARY] [EXTERNAL] TABLE

Create Table As Select (CTAS)

CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name
LIKE existing_table_or_view_name
[LOCATION hdfs_path];

三种类型表

临时表：TEMPORARY

跟Hive的Session生命周期一致，Hive Client 关闭|退出 表也一起删除了
临时表的优先级比其他表高：当临时表与其他表名一致时，我们操作的是临时表
直到我们把临时表Drop掉，或者Alter掉，我们才可以操作其他表

外部表：EXTERNAL

只管理元数据，Drop表的时候，只删除原数据，HDFS上的数据，不会被删除
需要指定Location

内部表：没有修饰词

全部管理，元数据和HDFS上的数据，删除就都没了

特别注意一下，没事别删除数据

CREATE [TEMPORARY] [EXTERNAL] TABLE [IF NOT EXISTS] [db_name.]table_name    -- (Note: TEMPORARY available in Hive 0.14.0 and later)
  [(col_name data_type [COMMENT col_comment], ... [constraint_specification])]
  [COMMENT table_comment]
  [PARTITIONED BY (col_name data_type [COMMENT col_comment], ...)]
  [CLUSTERED BY (col_name, col_name, ...) [SORTED BY (col_name [ASC|DESC], ...)] INTO num_buckets BUCKETS]
  [SKEWED BY (col_name, col_name, ...)                  -- (Note: Available in Hive 0.10.0 and later)]
     ON ((col_value, col_value, ...), (col_value, col_value, ...), ...)
     [STORED AS DIRECTORIES]
  [
   [ROW FORMAT row_format] 
   [STORED AS file_format]
     | STORED BY 'storage.handler.class.name' [WITH SERDEPROPERTIES (...)]  -- (Note: Available in Hive 0.6.0 and later)
  ]
  [LOCATION hdfs_path]
  [TBLPROPERTIES (property_name=property_value, ...)]   -- (Note: Available in Hive 0.6.0 and later)
  [AS select_statement];   -- (Note: Available in Hive 0.5.0 and later; not supported for external tables)

ROW FORMAT

原始数据，用什么样的格式，加载到我们Hive表
加载到我们表里的数据，原始数据不会改变

PARTITIONED BY

对我们数据进行分区

STORED AS

数据存储的文件格式

LOCATION

存放在HDFS 上目录的位置

Drop
Truncate

DML

https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DML

LOAD

LOAD DATA [LOCAL] INPATH 'filepath' [OVERWRITE] INTO TABLE tablename [PARTITION (partcol1=val1, partcol2=val2 ...)]

LOCAL本地

LOCAL和inpath组合，决定是从hdfs上读取数据，还是从客户端位置读取数据

我们加载数据的时候，实际是把一个数据文件，移动到Hive warehouse目录下面，表名的这个目录

HDFS 上 直接就挪过去了

LOCAL 是上传到临时目录，然后在移动到相应的位置

OVERWRITE

是否覆盖原有数据

如果不覆盖原有数据的话，把原来的数据，复制到hive数据目录下，就会重复了xxx_copy

PARTITION

分区，根据PARTITION （gender='male',age='35'）

INSERT

into Hive tables from queries

Standard syntax:
INSERT OVERWRITE TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...) [IF NOT EXISTS]] select_statement1 FROM from_statement;
INSERT INTO TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...)] select_statement1 FROM from_statement;
 
Hive extension (multiple inserts):
FROM from_statement
INSERT OVERWRITE TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...) [IF NOT EXISTS]] select_statement1
[INSERT OVERWRITE TABLE tablename2 [PARTITION ... [IF NOT EXISTS]] select_statement2]
[INSERT INTO TABLE tablename2 [PARTITION ...] select_statement2] ...;
FROM from_statement
INSERT INTO TABLE tablename1 [PARTITION (partcol1=val1, partcol2=val2 ...)] select_statement1
[INSERT INTO TABLE tablename2 [PARTITION ...] select_statement2]
[INSERT OVERWRITE TABLE tablename2 [PARTITION ... [IF NOT EXISTS]] select_statement2] ...;
 
Hive extension (dynamic partition inserts):
INSERT OVERWRITE TABLE tablename PARTITION (partcol1[=val1], partcol2[=val2] ...) select_statement FROM from_statement;
INSERT INTO TABLE tablename PARTITION (partcol1[=val1], partcol2[=val2] ...) select_statement FROM from_statement;

Example

FROM page_view_stg pvs
INSERT OVERWRITE TABLE page_view PARTITION(dt='2008-06-08', country)
       SELECT pvs.viewTime, pvs.userid, pvs.page_url, pvs.referrer_url, null, null, pvs.ip, pvs.cnt

into Hive tables from SQL

Standard Syntax:
INSERT INTO TABLE tablename [PARTITION (partcol1[=val1], partcol2[=val2] ...)] VALUES values_row [, values_row ...]
 
Where values_row is:
( value [, value ...] )
where a value is either null or any valid SQL literal

案例

CREATE TABLE students (name VARCHAR(64), age INT, gpa DECIMAL(3, 2))
  CLUSTERED BY (age) INTO 2 BUCKETS STORED AS ORC;
 
INSERT INTO TABLE students
  VALUES ('fred flintstone', 35, 1.28), ('barney rubble', 32, 2.32);
  
CREATE TABLE pageviews (userid VARCHAR(64), link STRING, came_from STRING)
  PARTITIONED BY (datestamp STRING) CLUSTERED BY (userid) INTO 256 BUCKETS STORED AS ORC;
 
INSERT INTO TABLE pageviews PARTITION (datestamp = '2014-09-23')
  VALUES ('jsmith', 'mail.com', 'sports.com'), ('jdoe', 'mail.com', null);
 
INSERT INTO TABLE pageviews PARTITION (datestamp)
  VALUES ('tjohnson', 'sports.com', 'finance.com', '2014-09-23'), ('tlee', 'finance.com', null, '2014-09-21');

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