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fix: ooms while reading large columns #332

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Merged
merged 2 commits into from
Feb 7, 2025
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fix: ooms while reading large columns #332

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fix: ooms while reading large columns
nikhil-zlai Feb 6, 2025
2bdb1ec
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nikhil-zlai Feb 6, 2025
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5 changes: 5 additions & 0 deletions online/src/main/scala/ai/chronon/online/CatalystUtil.scala
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Expand Up @@ -63,6 +63,11 @@ object CatalystUtil {
.config("spark.sql.adaptive.enabled", "false")
.config("spark.sql.legacy.timeParserPolicy", "LEGACY")
.config("spark.ui.enabled", "false")
// the default column reader batch size is 4096 - spark reads that many rows into memory buffer at once.
// that causes ooms on large columns.
// for derivations we only need to read one row at a time.
// for interactive we set the limit to 16.
.config("spark.sql.parquet.columnarReaderBatchSize", "16")
.enableHiveSupport() // needed to support registering Hive UDFs via CREATE FUNCTION.. calls
.getOrCreate()
assert(spark.sessionState.conf.wholeStageEnabled)
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