Hudi-SparkSQL增删改查Hudi表

进入spark-sql shell

./spark-sql --master local[2] --jars /Users/FengZhen/Desktop/Hadoop/spark/spark-3.0.3-bin-hadoop2.7/jars/spark-avro_2.12-3.0.3.jar,/Users/FengZhen/Desktop/Hadoop/hudi/spark3.0.3/hudi-0.10.1/packaging/hudi-spark-bundle/target/hudi-spark3.0.3-bundle_2.12-0.10.1.jar --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer' --conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension'

  hudi默认upsert/insert/delete的并发度是1500，对于演示小规模数据集设置更小的并发度

set hoodie.upsert.shuffle.parallelism = 1;
set hoodie.insert.shuffle.parallelism = 1;
set hoodie.delete.shuffle.parallelism = 1;

设置不同步hudi表元数据

set hoodie.datasource.meta.sync.enable=false;

 

1.建表（带LOCATION表示为外部表）

创建分区表，表的类型为MOR，主键为id,分区字段为dt,合并字段为ts

CREATE TABLE test_hudi_table(
    id INT,
    name STRING,
    price DOUBLE,
    ts LONG,
    dt STRING
) USING hudi
PARTITIONED BY (dt)
OPTIONS(
    primaryKey = 'id',
    preCombineField = 'ts',
    type = 'mor'
)
LOCATION 'hdfs://localhost:9000/hudi-warehouse/test_hudi_table';

 

根据已有表创建

create table hudi_existing_tbl1 using hudi
partitioned by (dt)
location 'hdfs://localhost:9000/hudi-warehouse/test_hudi_table';

 

用查询结果创建新表

CREATE TABLE test_hudi_ctas_cow_tbl
USING hudi
TBLPROPERTIES (primaryKey = 'id')
AS
SELECT 1 AS id, 'a1' AS name, 10 AS price;

 

用查询结果创建分区表

CREATE TABLE test_hudi_ctas_cow_pt_tbl
USING hudi
TBLPROPERTIES (type = 'cow', primaryKey = 'id', preCombineField = 'ts')
partitioned by (dt)
AS
SELECT 1 AS id, 'a1' AS name, 10 AS price, 1000 AS ts, '2022-03-07' AS dt;

 

创建parquet数据表

CREATE TABLE test_hudi_parquet_cow_tbl USING parquet location 'hdfs://localhost:9000/hudi-warehouse/test_hudi_table/*.parquet';

 

利用数据进行分区

CREATE TABLE test_hudi_ctas_cow_pt_tbl1 USING hudi location 'hdfs://localhost:9000/hudi-warehouse/test_hudi_table' options (
  type = 'cow',
  primaryKey = 'id',
  preCombineField = 'ts'
)
partitioned by (datestr) AS SELECT * from parquet_mngd;

   

查看建表语句

show create table test_hudi_table;
CREATE TABLE `default`.`test_hudi_table` (
  `_hoodie_commit_time` STRING,
  `_hoodie_commit_seqno` STRING,
  `_hoodie_record_key` STRING,
  `_hoodie_partition_path` STRING,
  `_hoodie_file_name` STRING,
  `id` INT,
  `name` STRING,
  `price` DOUBLE,
  `ts` BIGINT,
  `dt` STRING)
USING hudi
PARTITIONED BY (dt)
LOCATION 'hdfs://localhost:9000/hudi-warehouse/test_hudi_table'
TBLPROPERTIES (
  'primaryKey' = 'id',
  'type' = 'mor',
  'preCombineField' = 'ts')

 

2.插入数据

INSERT INTO test_hudi_table SELECT 1 AS id, 'hudi' AS name, 10 AS price, 1000 as ts, '2022-03-07' as dt;
INSERT INTO test_hudi_table SELECT 2 AS id, 'hudi_2' AS name, 9 AS price, 900 as ts, '2022-03-07' as dt;
INSERT INTO test_hudi_table SELECT 3 AS id, 'hudi_3' AS name, 8 AS price, 800 as ts, '2022-03-07' as dt;

 

3.查询

表结构

spark-sql> desc test_hudi_table;
_hoodie_commit_time string NULL
_hoodie_commit_seqno string NULL
_hoodie_record_key string NULL
_hoodie_partition_path string NULL
_hoodie_file_name string NULL
id int NULL
name string NULL
price double NULL
ts bigint NULL
dt string NULL
# Partition Information
# col_name data_type comment
dt string NULL
Time taken: 0.341 seconds, Fetched 13 row(s)

  数据

SELECT * FROM test_hudi_table;
20220307150033176 20220307150033176_0_1 id:1 dt=2022-03-07 9b4ae2d5-956b-488d-b796-829f4cdac7d2-0_0-27-15_20220307150033176.parquet 1 hudi 10.0 1000 2022-03-07
20220307150243202 20220307150243202_0_2 id:2 dt=2022-03-07 9b4ae2d5-956b-488d-b796-829f4cdac7d2-0_0-62-33_20220307150243202.parquet 2 hudi_2 9.0 900 2022-03-07
20220307150302352 20220307150302352_0_3 id:3 dt=2022-03-07 9b4ae2d5-956b-488d-b796-829f4cdac7d2-0_0-97-51_20220307150302352.parquet 3 hudi_3 8.0 800 2022-03-07
 

4.更新数据

UPDATE test_hudi_table SET price = 100.0 WHERE id = 1;

5.删除数据

DELETE FROM test_hudi_table WHERE id = 1;

 

6.MergeInfo

依据判断条件，决定对数据操作时，属于插入insert，更新update，还是删除delete #按条件合并数据

MERGE INTO tableIdentifier AS target_alias
USING (sub_query | tableIdentifier) AS source_alias
ON 
[ WHEN MATCHED [ AND  ] THEN  ]
[ WHEN MATCHED [ AND  ] THEN  ]
[ WHEN NOT MATCHED [ AND  ]  THEN  ]
/**
 =A equal bool condition
  =
  DELETE  |
  UPDATE SET *  |
  UPDATE SET column1 = expression1 [, column2 = expression2 ...]
  =
  INSERT *  |
  INSERT (column1 [, column2 ...]) VALUES (value1 [, value2 ...])
  */

 

MERGE INTO test_hudi_table AS t0
USING(
    SELECT 4 AS id, 'hadoop' AS name, 10 AS price, 9000 as ts, '2022-03-07' as dt
) AS s0
ON t0.id = s0.id
WHEN NOT MATCHED THEN INSERT *;
 
MERGE INTO test_hudi_table AS t0
USING(
    SELECT 4 AS id, 'hadoop' AS name, 10 AS price, 9999 as ts, '2022-03-07' as dt
) AS s0
ON t0.id = s0.id
WHEN MATCHED THEN UPDATE SET *;
 
MERGE INTO test_hudi_table AS t0
USING(
    SELECT 4 AS id, 'hadoop' AS name, 10 AS price, 9999 as ts, '2022-03-07' as dt
) AS s0
ON t0.id = s0.id
WHEN MATCHED THEN DELETE;

 

7.修改表相关信息

修改表名
ALTER TABLE oldTableName RENAME TO newTableName
例子
ALTER TABLE test_hudi_cow_tbl RENAME TO test_hudi_cow_tbl1;
 
增加列簇
ALTER TABLE tableIdentifier ADD COLUMNS(colAndType (,colAndType)*)
例子
ALTER TABLE test_hudi_cow_tbl1 add columns(desc string);
 
修改列簇类型
ALTER TABLE tableIdentifier CHANGE COLUMN colName colName colType
例子
ALTER TABLE test_hudi_cow_tbl1 change column id id bigint;
 
修改数据
ALTER TABLE tableIdentifier SET TBLPROPERTIES (key = 'value')
例子
alter table test_hudi_cow_tbl set tblproperties (hoodie.keep.max.commits = '10');

8.分区操作

显示分区
SHOW PARTITIONS tableIdentifier
例程
show partitions test_hudi_cow_pt_tbl;
 
删除分区
ALTER TABLE tableIdentifier DROP PARTITION ( partition_col_name = partition_col_val [ , ... ] )
例子
alter table test_hudi_cow_pt_tbl drop partition (dt='2022-03-07');