Can you create a JIRA ticket for this? Thanks.
On Tue, Dec 8, 2015 at 5:25 PM, Chang Ya-Hsuan <sumti...@gmail.com> wrote:
> spark version: spark-1.5.2-bin-hadoop2.6
> python version: 2.7.9
> os: ubuntu 14.04
>
> 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
> any suggestion?
> Thanks!
>
> --
> -- 張雅軒
>
