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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2018/12/24 11:49:51 UTC
[GitHub] viirya opened a new pull request #23376: [SPARK-26435][SQL] Support
creating partitioned table using Hive CTAS by specifying partition column
names
viirya opened a new pull request #23376: [SPARK-26435][SQL] Support creating partitioned table using Hive CTAS by specifying partition column names
URL: https://github.com/apache/spark/pull/23376
## What changes were proposed in this pull request?
Spark SQL doesn't support creating partitioned table using Hive CTAS in SQL syntax. However it is supported by using DataFrameWriter API.
```scala
val df = Seq(("a", 1)).toDF("part", "id")
df.write.format("hive").partitionBy("part").saveAsTable("t")
```
Hive begins to support this syntax in newer version: https://issues.apache.org/jira/browse/HIVE-20241:
```
CREATE TABLE t PARTITIONED BY (part) AS SELECT 1 as id, "a" as part
```
This patch adds this support to SQL syntax.
## How was this patch tested?
Added tests.
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