Dongjoon Hyun created SPARK-19881:
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Summary: 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: 2.1.0, 2.0.0
Reporter: Dongjoon Hyun
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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