Spark集成Hudi
本文提供Spark集成Hudi场景的实施方案,包括配置示例、执行步骤和参数说明。
案例
使用spark对Hudi数据进行增删改查
注意
hive client访问hudi数据需要下载hudi-hadoop-mr-bundle-1.0.2.Jar 包,不需要重启hive服务,重启hive会话即可。
mv hudi-hadoop-mr-bundle-1.0.2.jar /opt/hive/lib/
mv hudi-hadoop-mr-bundle-1.0.2.jar /opt/hadoop/share/hadoop/yarn/lib/
解决方案
创建
Spark SQL查询作业,下载依赖

配置SparkConfig
{
"spark.cores.max": "1",
"spark.driver.cores": "1",
"spark.driver.extraJavaOptions": "-Dfile.encoding=utf-8",
"spark.driver.memory": "1g",
"spark.executor.cores": "1",
"spark.executor.extraJavaOptions": "-Dfile.encoding=utf-8",
"spark.executor.instances": "1",
"spark.executor.memory": "2g",
"spark.hadoop.hive.metastore.uris": "thrift://172.19.189.246:9083",
"spark.kryo.registrator": "org.apache.spark.HoodieSparkKryoRegistrar",
"spark.serializer": "org.apache.spark.serializer.KryoSerializer",
"spark.sql.autoBroadcastJoinThreshold": "-1",
"spark.sql.catalog.spark_catalog": "org.apache.spark.sql.hudi.catalog.HoodieCatalog",
"spark.sql.catalog.spark_catalog.type": "hudi",
"spark.sql.catalogImplementation": "hive",
"spark.sql.extensions": "org.apache.spark.sql.hudi.HoodieSparkSessionExtension",
"spark.sql.hive.convertMetastoreOrc": "false",
"spark.sql.legacy.timeParserPolicy": "LEGACY",
"spark.sql.parquet.datetimeRebaseModeInRead": "LEGACY",
"spark.sql.parquet.datetimeRebaseModeInWrite": "LEGACY",
"spark.sql.parquet.enableVectorizedReader": "false",
"spark.sql.parquet.int96RebaseModeInRead": "LEGACY",
"spark.sql.parquet.int96RebaseModeInWrite": "LEGACY",
"spark.sql.parquet.writeLegacyFormat": "true",
"spark.sql.storeAssignmentPolicy": "LEGACY"
}
sql增删改查数据
-- 选择catalog
use spark_catalog;
-- 建hudi表
CREATE TABLE IF NOT EXISTS ispong_db.hudi_table (
username STRING,
age BIGINT
) USING HUDI;
-- 增
insert into ispong_db.hudi_table values ('zhangsan',13);
insert into ispong_db.hudi_table values ('lisi',14);
-- 删
delete from ispong_db.hudi_table where username = 'lisi';
-- 改
update ispong_db.hudi_table set age = 133 where username ='zhangsan';
-- 查
select username ,age from ispong_db.hudi_table;
