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https://issues.apache.org/jira/browse/SPARK-38172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Naveen Nagaraj updated SPARK-38172:
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Attachment: image-2022-02-10-15-32-30-355.png
> Adaptive coalesce not working with df persist
> ---------------------------------------------
>
> Key: SPARK-38172
> URL: https://issues.apache.org/jira/browse/SPARK-38172
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.2.1
> Environment: OS: Linux
> Spark Version: 3.2.3
> Reporter: Naveen Nagaraj
> Priority: Major
> Attachments: image-2022-02-10-15-32-30-355.png
>
>
> {quote}val spark = SparkSession.builder().master("local[4]").appName("Test")
> .config("spark.sql.adaptive.enabled", "true")
>
> .config("spark.sql.adaptive.coalescePartitions.enabled", "true")
>
> .config("spark.sql.adaptive.advisoryPartitionSizeInBytes", "50m")
>
> .config("spark.sql.adaptive.coalescePartitions.minPartitionNum", "1")
>
> .config("spark.sql.adaptive.coalescePartitions.initialPartitionNum", "1024")
> .getOrCreate()
> val df = spark.read.csv("<Input File Path>")
> val df1 = df.distinct()
> df1.persist() // On removing this line. Code works as expected
> df1.write.csv("<Output File Path>")
> {quote}
> val spark = SparkSession.builder().master("local[4]").appName("Test")
> .config("spark.sql.adaptive.enabled", "true")
>
> .config("spark.sql.adaptive.coalescePartitions.enabled", "true")
>
> .config("spark.sql.adaptive.advisoryPartitionSizeInBytes", "50m")
>
> .config("spark.sql.adaptive.coalescePartitions.minPartitionNum", "1")
>
> .config("spark.sql.adaptive.coalescePartitions.initialPartitionNum", "1024")
> .getOrCreate()
> val df = spark.read.csv("<Input File Path>")
> val df1 = df.distinct()
> df1.persist() // On removing this line. Code works as expected
> df1.write.csv("<Output File Path>")
> I have an input file of size 2 GB which is read as 16 partitions of size 128
> MB each. I have enabled adaptive SQL to coalesce partitions after the shuffle
> Without df1.persist, df1.write.csv writes 4 partition files of 50 MB each
> which is expected
> !image-2022-02-10-15-29-31-708.png!
> If I include df1.persist, Spark is writing 200 partitions(adaptive coalesce
> not working) With persist
> !image-2022-02-10-15-29-57-176.png!
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