Leanken.Lin created SPARK-28050:
-----------------------------------
Summary: DataFrameWriter support insertInto a specific table
partition
Key: SPARK-28050
URL: https://issues.apache.org/jira/browse/SPARK-28050
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 2.4.3, 2.3.3
Reporter: Leanken.Lin
Fix For: 2.4.3, 2.3.3
val ptTableName = "mc_test_pt_table"
sql(s"CREATE TABLE ${ptTableName} (name STRING, num BIGINT) PARTITIONED BY (pt1
STRING, pt2 STRING)")
val df = spark.sparkContext.parallelize(0 to 99, 2)
.map(f =>
{
(s"name-$f", f)
})
.toDF("name", "num")
// if i want to insert df into a specific partition
// say pt1='2018',pt2='0601' current api does not supported
// only with following work around
df.createOrReplaceTempView(s"${ptTableName}_tmp_view")
sql(s"insert into table ${ptTableName} partition (pt1='2018', pt2='0601')
select * from ${ptTableName}_tmp_view")
Propose to have another API in DataframeWriter that can do somethink like:
df.write.insertInto(ptTableName, "pt1='2018',pt2='0601'")
we have a lot of this kind of scenario in our production env. providing a api
like this will make us less painful.
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