Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/14634
If users want to use the `DataFrameWriter`'s `insertInto` API for
partitioned Hive table, they have to set `hive.exec.dynamic.partition` to
`true` and `hive.exec.dynamic.partition.mode` to `nonstrict`. Otherwise, it
does not work. Users are unable to specify the partition values in the
`insertInto` APIs. See [the
code](https://github.com/apache/spark/blob/8c8acdec9365136cba13060ce36c22b28e29b59b/sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala#L258).
Let me use a test case to show the issue.
```Scala
withTempDir { tmpDir =>
val basePath = tmpDir.getCanonicalPath
val externalTab = "extTable_with_partitions"
withTable(externalTab) {
assert(tmpDir.listFiles.isEmpty)
sql(
s"""
|CREATE EXTERNAL TABLE $externalTab (key INT, value STRING)
|PARTITIONED BY (ds STRING, hr STRING)
|stored as Parquet
|LOCATION '$basePath'
""".stripMargin)
for (ds <- Seq("2008-04-08", "2008-04-09"); hr <- Seq("11", "12")) {
sql(
s"""
|INSERT OVERWRITE TABLE $externalTab
|partition (ds='$ds',hr='$hr')
|SELECT 1, 'a'
""".stripMargin)
}
withSQLConf("hive.exec.dynamic.partition" -> "true",
"hive.exec.dynamic.partition.mode" -> "nonstrict") {
Seq((1, "2", "2008-04-09", "12")).toDF("key", "value", "ds",
"hr").write
.insertInto(externalTab)
}
}
}
```
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