Increase the number of tasks per stage

Learn how to increase the number of tasks per stage when using the spark-xml package with Databricks....

Maximum execution context or notebook attachment limit reached

Learn what to do when the maximum execution context or notebook attachment limit is reached in Databricks....

Serialized task is too large

Learn what to do when a serialized task is too large in Databricks....

Members of a Gmail group email not receiving notifications

Allow external entities to email the group inbox. ...

Apache Spark jobs failing due to stage failure when using spot instances in a cluster

Use on-demand nodes instead of spot instances. ...

Broadcast join hash not being used despite hints

Refresh table statistics or use supported joins that allow for broadcast join....

Recurring error “Unable to get field from serde” when trying to perform operations on table

Verify your metadata using the Glue API, then recreate or update the table with the correct metadata. ...

Error compressed buffer size exceeds 2 GB when saving data

Set the Apache Spark configs to increase the frequency of row group size check....

Error when trying to use RDD code in shared clusters

Use a single-user cluster, which supports RDD functionality....

File corruption error on Apache Spark Streaming jobs during file processing in DBFS

Replace dbutils.fs operations with Hadoop filesystem methods. ...

Jobs failing at data shuffle stage with error org.apache.spark.shuffle.FetchFailedException

Analyze the shuffle data distribution across executors and join query strategies....

Apache Spark job output only giving the first JSON object instead of all records

Add appropriate line breaks between each JSON object or use Photon....

DAB job parameters not passing in correctly on the task level

Correct the syntax....

Recurring Apache Spark jobs with same data set size and cluster configuration vary in duration

Build your cluster with sufficient SSD memory, monitor your cluster’s disk usage, and optimize data storage....

Resolve invalid cast input error on serverless compute

Set spark.sql.ansi.enabled to false to resolve casting errors on serverless compute....

Seeing slow-running jobs while adaptive parallelism enabled

Disable adaptive parallelism....