How to use a custom spark-default.conf file

sparkctl sets custom settings in the spark-defaults.conf file. For example, it sets

spark.sql.parquet.outputTimestampType TIMESTAMP_MICROS

so that Spark writes Parquet files with timestamps that can be properly interpreted by other libraries like DuckDB and Pandas.

If you don’t want these settings or want to add your own settings every time you configure sparkctl, here is how to do it.

1. Create a file named spark-defaults.conf.template. Spark’s defaults are stored here.

2. Add your custom settings to the file.

3. Pass the file to sparkctl configure with the --spark-defaults-template-file option:

   $ sparkctl configure --spark-defaults-template-file spark-defaults.conf.template
   

Note

sparkctl will still append Spark driver, executor, and other settings to the runtime version of the spark-default.conf file.