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Posted to issues@spark.apache.org by "Robert Joseph Evans (Jira)" <ji...@apache.org> on 2020/08/20 21:25:00 UTC
[jira] [Updated] (SPARK-32672) Data corruption in some cached
compressed boolean columns
[ https://issues.apache.org/jira/browse/SPARK-32672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Robert Joseph Evans updated SPARK-32672:
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Summary: Data corruption in some cached compressed boolean columns (was: Daat corruption in some cached compressed boolean columns)
> Data corruption in some cached compressed boolean columns
> ---------------------------------------------------------
>
> Key: SPARK-32672
> URL: https://issues.apache.org/jira/browse/SPARK-32672
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Robert Joseph Evans
> Priority: Blocker
> Attachments: bad_order.snappy.parquet
>
>
> I found that when sorting some boolean data into the cache that the results can change when the data is read back out.
> It needs to be a non-trivial amount of data, and it is highly dependent on the order of the data. If I disable compression in the cache the issue goes away. I was able to make this happen in 3.0.0. I am going to try and reproduce it in other versions too.
> I'll attach the parquet file with boolean data in an order that causes this to happen. As you can see after the data is cached a single null values switches over to be false.
> {code}
> scala> val bad_order = spark.read.parquet("./bad_order.snappy.parquet")
> bad_order: org.apache.spark.sql.DataFrame = [b: boolean]
> scala> bad_order.groupBy("b").count.show
> +-----+-----+
> | b|count|
> +-----+-----+
> | null| 7153|
> | true|54334|
> |false|54021|
> +-----+-----+
> scala> bad_order.cache()
> res1: bad_order.type = [b: boolean]
> scala> bad_order.groupBy("b").count.show
> +-----+-----+
> | b|count|
> +-----+-----+
> | null| 7152|
> | true|54334|
> |false|54022|
> +-----+-----+
> scala>
> {code}
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