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https://issues.apache.org/jira/browse/SPARK-12231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15048237#comment-15048237
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kevin yu commented on SPARK-12231:
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Hello Yahsuan: I am looking at this problem now. I can recreate the problem.
but when you say 'if write data without partitionBy, the error won't happen'.
are you trying with this?
df1.write.parquet('./data')
df2 = sqlc.read.parquet('./data')
df2.dropna()
df2.count()
I tried without partitionBy, and using
df2 = sqlc.read.parquet('./data')
df2.dropna().count()
I still get the exception.
I will update with my progress. Thanks.
> Failed to generate predicate Error when using dropna
> ----------------------------------------------------
>
> Key: SPARK-12231
> URL: https://issues.apache.org/jira/browse/SPARK-12231
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 1.5.2
> Environment: python version: 2.7.9
> os: ubuntu 14.04
> Reporter: yahsuan, chang
>
> code to reproduce error
> # write.py
> import pyspark
> sc = pyspark.SparkContext()
> sqlc = pyspark.SQLContext(sc)
> df = sqlc.range(10)
> df1 = df.withColumn('a', df['id'] * 2)
> df1.write.partitionBy('id').parquet('./data')
> # read.py
> import pyspark
> sc = pyspark.SparkContext()
> sqlc = pyspark.SQLContext(sc)
> df2 = sqlc.read.parquet('./data')
> df2.dropna().count()
> $ spark-submit write.py
> $ spark-submit read.py
> # error message
> 15/12/08 17:20:34 ERROR Filter: Failed to generate predicate, fallback to
> interpreted org.apache.spark.sql.catalyst.errors.package$TreeNodeException:
> Binding attribute, tree: a#0L
> ...
> If write data without partitionBy, the error won't happen
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