[
https://issues.apache.org/jira/browse/SPARK-19775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-19775:
----------------------------------
Description:
This issue removes [a test
case|https://github.com/apache/spark/blame/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala#L287-L298]
which was introduced by
[SPARK-14459|https://github.com/apache/spark/commit/652bbb1bf62722b08a062c7a2bf72019f85e179e]
and was superseded by
[SPARK-16033|https://github.com/apache/spark/blame/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala#L365-L371].
Basically, we cannot use `partitionBy` and `insertInto` together.
{code}
test("Reject partitioning that does not match table") {
withSQLConf(("hive.exec.dynamic.partition.mode", "nonstrict")) {
sql("CREATE TABLE partitioned (id bigint, data string) PARTITIONED BY
(part string)")
val data = (1 to 10).map(i => (i, s"data-$i", if ((i % 2) == 0) "even"
else "odd"))
.toDF("id", "data", "part")
intercept[AnalysisException] {
// cannot partition by 2 fields when there is only one in the table
definition
data.write.partitionBy("part", "data").insertInto("partitioned")
}
}
}
{code}
was:
This issue removes [a test
case|https://github.com/apache/spark/blame/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala#L287-L298]
which was introduced by
[SPARK-14459|https://github.com/apache/spark/commit/10b671447bc04af250cbd8a7ea86f2769147a78a]
and was superseded by
[SPARK-16033|https://github.com/apache/spark/blame/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala#L365-L371].
Basically, we cannot use `partitionBy` and `insertInto` together.
{code}
test("Reject partitioning that does not match table") {
withSQLConf(("hive.exec.dynamic.partition.mode", "nonstrict")) {
sql("CREATE TABLE partitioned (id bigint, data string) PARTITIONED BY
(part string)")
val data = (1 to 10).map(i => (i, s"data-$i", if ((i % 2) == 0) "even"
else "odd"))
.toDF("id", "data", "part")
intercept[AnalysisException] {
// cannot partition by 2 fields when there is only one in the table
definition
data.write.partitionBy("part", "data").insertInto("partitioned")
}
}
}
{code}
> Remove an obsolete `partitionBy().insertInto()` test case
> ---------------------------------------------------------
>
> Key: SPARK-19775
> URL: https://issues.apache.org/jira/browse/SPARK-19775
> Project: Spark
> Issue Type: Bug
> Components: SQL, Tests
> Affects Versions: 2.1.0
> Reporter: Dongjoon Hyun
> Priority: Trivial
>
> This issue removes [a test
> case|https://github.com/apache/spark/blame/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala#L287-L298]
> which was introduced by
> [SPARK-14459|https://github.com/apache/spark/commit/652bbb1bf62722b08a062c7a2bf72019f85e179e]
> and was superseded by
> [SPARK-16033|https://github.com/apache/spark/blame/master/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertIntoHiveTableSuite.scala#L365-L371].
> Basically, we cannot use `partitionBy` and `insertInto` together.
> {code}
> test("Reject partitioning that does not match table") {
> withSQLConf(("hive.exec.dynamic.partition.mode", "nonstrict")) {
> sql("CREATE TABLE partitioned (id bigint, data string) PARTITIONED BY
> (part string)")
> val data = (1 to 10).map(i => (i, s"data-$i", if ((i % 2) == 0) "even"
> else "odd"))
> .toDF("id", "data", "part")
> intercept[AnalysisException] {
> // cannot partition by 2 fields when there is only one in the table
> definition
> data.write.partitionBy("part", "data").insertInto("partitioned")
> }
> }
> }
> {code}
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