apache paimon-update
apache paimon
Apache Paimon(incubating) is a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
在不同的merge-engine下的update效果
Deduplicate
Partial Update
Aggregation
基本概念详见官网链接
创建并使用catalog
tableEnv.executeSql("CREATE CATALOG paimon WITH ('type' = 'paimon', 'warehouse'='file:///D://data')");
tableEnv.executeSql("USE CATALOG paimon");
Deduplicate
1：准备数据
Row.ofKind(RowKind.INSERT, 1,183.0,15)
Row.ofKind(RowKind.INSERT, 1,11.9,20)
2：建表
CREATE TABLE if not exists MyTable (
product_id BIGINT,
price DOUBLE,
sales BIGINT,
PRIMARY KEY (product_id) NOT ENFORCED
)
3：先插入第一条数据之后的结果
//Row.ofKind(RowKind.INSERT, 1,183.0,15)
+---------------+--------+---------+
| product_id | price | sales |
+---------------+--------+---------+
| 1 | 183.0 | 15 |
+---------------+--------+---------+
4：插入第二条数据的结果
+----+-------------+---------+-------------+
| op | product_id | price | sales |
+----+-------------+---------+-------------+
| +I | 1 | 11.9 | 20 |
+----+-------------+---------+-------------+
//查询最终结果
+----------------+--------+--------+
| product_id | price | sales |
+----------------+--------+--------+
| 1 | 11.9 | 20 |
+----------------+--------+--------+
5：删除操作
+----+-------------+----------+--------+
| op | product_id | price | sales |
+----+-------------+----------+--------+
| -D | 1 | 11.9 | 20 |
+----+-------------+----------+--------+
//查询结果
Empty set
Process finished with exit code 0
数据读取方式
流批都支持
结论
deduplicate 是默认的 merge engine 同一主键只保留最后一条数据，如果最后的操作是删除则被删除。简而言之就是支持update和delete功能。
Partial Update
1：准备数据
Row.ofKind(RowKind.INSERT, "李思思", 22,"男",null,"上海")
Row.ofKind(RowKind.INSERT, "汪呜呜", 1,"女",null,null)
Row.ofKind(RowKind.INSERT, "李思思", 22,"男","中国",null)
Row.ofKind(RowKind.INSERT, "汪呜呜", 1,"女",null,"北京")
2：建表
CREATE TABLE if not exists MyTable(
name STRING,
age INT,
sex STRING,
country STRING,
city STRING,
PRIMARY KEY (name,sex) NOT ENFORCED
) PARTITIONED BY (sex)
WITH (
'merge-engine'='partial-update',
'bucket' = '2'
)
3：结果
//第一次插入数据之后查询结果
+---------+------+-----+-----------+----------+
| name | age | sex | country | city |
+---------+------+-----+-----------+----------+
| 汪呜呜 | 1 | 女 | (NULL) | (NULL) |
| 李思思 | 22 | 男 | (NULL) | 上海 |
+---------+------+-----+-----------+----------+
//第二次插入数据
+----+---------+-------------+------+-----------+------------+
| op | name | age | sex | country | city |
+----+---------+-------------+------+-----------+------------+
| +I | 李思思 | 22 | 男 | 中国 | (NULL) |
| +I | 汪呜呜 | 1 | 女 | (NULL) | 北京 |
+----+---------+-------------+------+-----------+------------+
//查询结果
+-----------+-------------+-------+-----------+--------+
| name | age | sex | country | city |
+-----------+-------------+-------+-----------+--------+
| 李思思 | 22 | 男 | 中国 | 上海 |
| 汪呜呜 | 1 | 女 | (NULL) | 北京 |
+-----------+-------------+-------+-----------+--------+
3：删除数据
//不支持删除数据查询会报错
Caused by: java.lang.IllegalArgumentException: Partial update can not accept delete records. Partial delete is not supported!
//设置'partial-update.ignore-delete'='true'参数忽略删除操作可正常读取
//删除
+----+--------+------+------+---------+----------+
| op | name | age | sex | country | city |
+----+--------+------+------+---------+----------+
| -D | 李思思 | 22 | 男 | 中国 | (NULL) |
+----+--------+------+------+---------+----------+
//查询
|-----------+------+------+------------+--------+
| name | age | sex | country | city |
+-----------+------+------+------------+--------+
| 李思思 | 22 | 男 | 中国 | 上海 |
| 汪呜呜 | 1 | 女 | (NULL) | 北京 |
+-----------+------+------+------------+--------+
数据读取方式
批模式
流模式报错：Exception in thread “main” java.lang.RuntimeException: Partial update streaming reading is not supported. You can use ‘lookup’ or ‘full-compaction’ changelog producer to support streaming reading.
结论
支持update操作，但是当最后数据为null时不会进行update，不支持delete操作，不支持流读
Sequence Group
在’merge-engine’='partial-update’时配合sequence group实现多流的更新写入
1：准备数据
//第一次插入的数据
Row.ofKind(RowKind.INSERT, "李思思", 22,"男",1,null,1,"上海")
Row.ofKind(RowKind.INSERT, "汪呜呜", 1,"女",1,null,1,null)
//第二次插入的数据
Row.ofKind(RowKind.INSERT, "李思思", 32,"男",null,"中国",2,null)
Row.ofKind(RowKind.INSERT, "汪呜呜", 11,"女",1,"中国",2,"北京")
2：建表
CREATE TABLE if not exists MyTable(
name STRING,
age INT,
sex STRING,
version INT,
country STRING,
version2 INT,
city STRING,
PRIMARY KEY (name,sex) NOT ENFORCED
) PARTITIONED BY (sex)
WITH (
'merge-engine'='partial-update',
'fields.version.sequence-group'='age',
'fields.version2.sequence-group'='country,city',
'bucket' = '2'
)
3：结果
//第一次插入数据之后的查询结果
+-------------+-------------+--------+-------------+------------+-------------+----------+
| name | age | sex | version | country | version2 | city |
+-------------+-------------+--------+-------------+------------+-------------+----------+
| 汪呜呜 | 1 | 女 | 1 | (NULL) | 1 | (NULL) |
| 李思思 | 22 | 男 | 1 | (NULL) | 1 | 上海 |
+-------------+-------------+--------+-------------+------------+-------------+----------+
//插入数据
+----+--------+------+-----+-------------+----------+-------------+---------+
| op | name | age | sex | version | country | version2 | city |
+----+--------+------+-----+-------------+----------+-------------+---------+
| +I | 李思思 | 32 | 男 | (NULL) | 中国 | 2 | (NULL) |
| +I | 汪呜呜 | 11 | 女 | 1 | 中国 | 2 | 北京 |
+----+--------+------+-----+-------------+----------+-------------+---------+
//最终查询结果
+---------+------+------+-------------+----------+-------------+---------+
| name | age | sex | version | country | version2 | city |
+---------+------+------+-------------+----------+-------------+---------+
| 汪呜呜 | 11 | 女 | 1 | 中国 | 2 | 北京 |
| 李思思 | 22 | 男 | 1 | 中国 | 2 | (NULL) |
+---------+------+------+-------------+----------+-------------+---------+
4：删除
同样不支持删除操作
数据读取方式
批模式
结论
当sequence-group >=原来的sequence-group是会做update，不支持删除操作，要配合’partial-update.ignore-delete’='true’使用，只支持批读取。
sequence-group 的作用是用来解决并发写的问题，这个后续会专门测试
Aggregation
1：准备数据
Row.ofKind(RowKind.INSERT, 1,1.0,1)
Row.ofKind(RowKind.INSERT, 1,12.9,2)
2：建表
CREATE TABLE if not exists MyTable (
product_id BIGINT,
price DOUBLE,
sales BIGINT,
PRIMARY KEY (product_id) NOT ENFORCED
) WITH (
'merge-engine' = 'aggregation',
'fields.price.aggregate-function' = 'max',
'fields.sales.aggregate-function' = 'sum'
)
3：结果
//插入数据
+----+-------------+-------+-------------+
| op | product_id | price | sales |
+----+-------------+-------+-------------+
| +I | 1 | 1.0 | 1 |
+----+-------------+-------+-------------+
//查询结果
+-------------+---------+-------------+
| product_id | price | sales |
+-------------+---------+-------------+
| 1 | 1.0 | 1 |
+-------------+---------+-------------+
//插入数据
+----+-------------+---------+-------------+
| op | product_id | price | sales |
+----+-------------+---------+-------------+
| +I | 1 | 12.9 | 2 |
+----+-------------+---------+-------------+
//最终结果
+-------------+--------+-------------+
| product_id | price | sales |
+-------------+--------+-------------+
| 1 | 12.9 | 3 |
+-------------+--------+-------------+
4：删除
//不支持删除操作，报如下错
Aggregate function 'max' does not support retraction, If you allow this function to ignore retraction messages, you can configure 'fields.${field_name}.ignore-retract'='true'.
//添加参数忽略删除操作
CREATE TABLE if not exists MyTable (
product_id BIGINT,
price DOUBLE,
sales BIGINT,
PRIMARY KEY (product_id) NOT ENFORCED
) WITH (
'merge-engine' = 'aggregation',
'fields.price.aggregate-function' = 'max',
'fields.price.ignore-retract' = 'true',
'fields.sales.ignore-retract' = 'true',
'fields.sales.aggregate-function' = 'sum'
);
数据读取方式
批模式
结论
不支持删除操作，只支持批模式读取，按照指定的聚合函数对指定字段进行聚合