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https://issues.apache.org/jira/browse/SPARK-25420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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huanghuai updated SPARK-25420:
------------------------------
Priority: Trivial (was: Major)
> Dataset.count() every time is different.
> -----------------------------------------
>
> Key: SPARK-25420
> URL: https://issues.apache.org/jira/browse/SPARK-25420
> Project: Spark
> Issue Type: Question
> Components: Spark Core
> Affects Versions: 2.3.0
> Environment: spark2.3
> standalone
> Reporter: huanghuai
> Priority: Trivial
> Labels: SQL
>
> Dataset<Row> dataset = sparkSession.read().format("csv").option("sep",
> ",").option("inferSchema", "true")
> .option("escape", Constants.DEFAULT_CSV_ESCAPE).option("header", "true")
> .option("encoding", "UTF-8")
> .load("hdfs://192.168.1.26:9000/data/caopan/07-08_WithHead30M.csv");
> System.out.println("source count="+dataset.count());
> Dataset<Row> dropDuplicates = dataset.dropDuplicates(new
> String[]\{"DATE","TIME","VEL","COMPANY"});
> System.out.println("dropDuplicates count1="+dropDuplicates.count());
> System.out.println("dropDuplicates count2="+dropDuplicates.count());
> Dataset<Row> filter = dropDuplicates.filter("jd > 120.85 and wd > 30.666666
> and (status = 0 or status = 1)");
> System.out.println("filter count1="+filter.count());
> System.out.println("filter count2="+filter.count());
> System.out.println("filter count3="+filter.count());
> System.out.println("filter count4="+filter.count());
> System.out.println("filter count5="+filter.count());
>
>
> ------------------------------------------------------The above is code
> ---------------------------------------
>
>
> console output:
> source count=459275
> dropDuplicates count1=453987
> dropDuplicates count2=453987
> filter count1=445798
> filter count2=445797
> filter count3=445797
> filter count4=445798
> filter count5=445799
>
> question:
>
> Why is filter.count() different everytime?
> if I remove dropDuplicates() everything will be ok!!
>
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