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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/03/09 07:36:38 UTC
[jira] [Assigned] (SPARK-19881) Support Dynamic Partition Inserts
params with SET command
[ https://issues.apache.org/jira/browse/SPARK-19881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19881:
------------------------------------
Assignee: Apache Spark
> Support Dynamic Partition Inserts params with SET command
> ---------------------------------------------------------
>
> Key: SPARK-19881
> URL: https://issues.apache.org/jira/browse/SPARK-19881
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0, 2.1.0
> Reporter: Dongjoon Hyun
> Assignee: Apache Spark
> Priority: Minor
>
> Currently, `SET` command does not pass the values to Hive. In most case, Spark handles well. However, for the dynamic partition insert, users meet the following situation.
> {code}
> scala> spark.range(1001).selectExpr("id as key", "id as value").registerTempTable("t1001")
> scala> sql("create table p (value int) partitioned by (key int)").show
> scala> sql("insert into table p partition(key) select key, value from t1001")
> org.apache.spark.SparkException: Dynamic partition strict mode requires at least one static partition column. To turn this off set hive.exec.dynamic.partition.mode=nonstrict
> scala> sql("set hive.exec.dynamic.partition.mode=nonstrict")
> scala> sql("insert into table p partition(key) select key, value from t1001")
> org.apache.hadoop.hive.ql.metadata.HiveException: Number of dynamic partitions created is 1001, which is more than 1000. To solve this try to set hive.exec.max.dynamic.partitions to at least 1001.
> scala> sql("set hive.exec.dynamic.partition.mode=1001")
> scala> sql("insert into table p partition(key) select key, value from t1001")
> org.apache.hadoop.hive.ql.metadata.HiveException: Number of dynamic partitions created is 1001, which is more than 1000. To solve this try to set hive.exec.max.dynamic.partitions to at least 1001.
> <== Repeat the same error message.
> {code}
> The root cause is that `hive` parameters are passed to `HiveClient` on creating. So, The workaround is using `--hiveconf`.
> We had better handle this case without misleading error messages.
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