Parth Chandra created SPARK-38169: ------------------------------------- Summary: Use OffHeap memory if configured in vectorized DeltaByteArray reader Key: SPARK-38169 URL: https://issues.apache.org/jira/browse/SPARK-38169 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 3.2.1 Reporter: Parth Chandra
The VectorizedDeltaByteArray reader allocates some vectors for internal use that are allocated off of heap memory. Depending on the configuration, the vectors should be either on-heap or off-heap. To support off-heap vectors, the vectorized readers must be made closable and memory allocated for the vectors must be freed on close. -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org