spark-instrumented-optimizer/sql/hive
Huaxin Gao 806140de40 [SPARK-32592][SQL] Make DataFrameReader.table take the specified options
### What changes were proposed in this pull request?
pass specified options in DataFrameReader.table to JDBCTableCatalog.loadTable

### Why are the changes needed?
Currently, `DataFrameReader.table` ignores the specified options. The options specified like the following are lost.
```
    val df = spark.read
      .option("partitionColumn", "id")
      .option("lowerBound", "0")
      .option("upperBound", "3")
      .option("numPartitions", "2")
      .table("h2.test.people")
```
We need to make `DataFrameReader.table` take the specified options.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Manually test for now. Will add a test after V2 JDBC read is implemented.

Closes #29535 from huaxingao/table_options.

Authored-by: Huaxin Gao <huaxing@us.ibm.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-08-31 13:21:15 +00:00
..
benchmarks [SPARK-31684][SQL] Overwrite partition failed with 'WRONG FS' when the target partition is not belong to the filesystem as same as the table 2020-05-19 14:08:51 +00:00
compatibility/src/test/scala/org/apache/spark/sql/hive/execution [SPARK-32036] Replace references to blacklist/whitelist language with more appropriate terminology, excluding the blacklisting feature 2020-07-15 11:40:55 -05:00
src [SPARK-32592][SQL] Make DataFrameReader.table take the specified options 2020-08-31 13:21:15 +00:00
pom.xml [SPARK-30950][BUILD] Setting version to 3.1.0-SNAPSHOT 2020-02-25 19:44:31 -08:00