GitHub user maropu opened a pull request: https://github.com/apache/spark/pull/20929
[SPARK-23772][SQL][WIP] Provide an option to ignore column of all null values or empty array during JSON schema inference ## What changes were proposed in this pull request? This pr added a SQL option `spark.sql.streaming.schemaInference.ignoreNullFields` to ignore column of all null values or empty array during JSON schema inference. When non-null values appear in subsequent batches, its type is resolved by using the values. ## How was this patch tested? Added tests in `FileStreamSourceSuite`. You can merge this pull request into a Git repository by running: $ git pull https://github.com/maropu/spark SPARK-23772 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/20929.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #20929 ---- commit 876da84a7da9dbdc408e153b9e3dc17776a0c9db Author: Takeshi Yamamuro <yamamuro@...> Date: 2018-03-28T14:00:09Z WIP ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org