andygrove commented on issue #2452:
URL:
https://github.com/apache/datafusion-comet/issues/2452#issuecomment-3361453245
> The peak memory consumption reported for the top 6 operators is nowhere
close to the amount of configured memory.
The recent stack traces are using some intentionally low memory settings, so
that I can reproduce more conveniently.
```shell
$SPARK_HOME/bin/spark-submit \
--master $SPARK_MASTER \
--jars $COMET_JAR \
--driver-class-path $COMET_JAR \
--conf spark.driver.memory=8G \
--conf spark.executor.instances=1 \
--conf spark.executor.cores=8 \
--conf spark.cores.max=8 \
--conf spark.executor.memory=16g \
--conf spark.memory.offHeap.enabled=true \
--conf spark.memory.offHeap.size=2g \
--conf spark.eventLog.enabled=true \
--conf spark.driver.extraClassPath=$COMET_JAR \
--conf spark.executor.extraClassPath=$COMET_JAR \
--conf spark.plugins=org.apache.spark.CometPlugin \
--conf
spark.shuffle.manager=org.apache.spark.sql.comet.execution.shuffle.CometShuffleManager
\
--conf spark.comet.exec.replaceSortMergeJoin=false \
--conf spark.comet.expression.allowIncompatible=true \
--conf spark.hadoop.fs.s3a.impl=org.apache.hadoop.fs.s3a.S3AFileSystem \
--conf
spark.hadoop.fs.s3a.aws.credentials.provider=com.amazonaws.auth.DefaultAWSCredentialsProviderChain
\
tpcbench.py \
--name comet \
--benchmark tpch \
--data $TPCH_DATA \
--queries $TPCH_QUERIES \
--output . \
--iterations 1
```
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