Apache Spark™ properties
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Updated at May 19, 2026
Apache Spark™ properties define the job configuration, e.g., run resources, dynamic allocation and parallelism parameters, SQL parameters, etc. To override a configuration, you can update Apache Spark™ properties at individual job level when creating the job.
Apache Spark™ properties are set and stored in "key-value" format. You can set any of the properties specified in the official Apache Spark™ documentation
spark.kubernetes.*: You cannot override Kubernetes properties as this may cause the Yandex Managed Service for Apache Spark™ cluster to work incorrectly.spark.yarn.*: Yandex Managed Service for Apache Spark™ does not use YARN.