[SPARK-32592] Make `DataFrameReader.table` take the specified options

• Type: Sub-task
• Status: Resolved
• Priority: Minor
• Resolution: Fixed
• Affects Version/s: 3.1.0
• Fix Version/s: 3.1.0
• Component/s: SQL
• Assignee: Huaxin Gao
• Reporter: Huaxin Gao
• Created: 11/Aug/20 18:36
• Updated: 31/Aug/20 13:21
• Resolved: 31/Aug/20 13:21

Description

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.

Issue Links

• links to: [Github] Pull Request #29535 (huaxingao)
• links to: [Github] Pull Request #29535 (huaxingao)