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Hyukjin Kwon commented on SPARK-17820: -------------------------------------- Hi [~kmbeyond], would you maybe be able to try this against higher version? > Spark sqlContext.sql() performs only first insert for HiveQL "FROM target > INSERT INTO dest" command to insert into multiple target tables from same > source > ---------------------------------------------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-17820 > URL: https://issues.apache.org/jira/browse/SPARK-17820 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.6.0 > Environment: Cloudera Quickstart VM 5.7 > Reporter: Kiran Miryala > > I am executing a HiveQL in spark-shell, I intend to insert a record into 2 > destination tables from the same source table using same statement. But it > inserts in only first destination table. My statement: > {noformat} > scala>val departmentsData = sqlContext.sql("from sqoop_import.departments > insert into sqoop_import.names_count1 select department_name, count(1) where > department_id=2 group by department_name insert into > sqoop_import.names_count2 select department_name, count(1) where > department_id=4 group by department_name") > {noformat} > Same query inserts into both destination tables on hive shell: > {noformat} > from sqoop_import.departments > insert into sqoop_import.names_count1 > select department_name, count(1) > where department_id=2 group by department_name > insert into sqoop_import.names_count2 > select department_name, count(1) > where department_id=4 group by department_name; > {noformat} > Both target table definitions are: > {noformat} > hive>use sqoop_import; > hive> create table names_count1 (department_name String, count Int); > hive> create table names_count2 (department_name String, count Int); > {noformat} > Not sure why it is skipping next one. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org