You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Burak Yavuz (JIRA)" <ji...@apache.org> on 2017/05/03 15:58:04 UTC

[jira] [Closed] (SPARK-20432) Unioning two identical Streaming DataFrames fails during attribute resolution

     [ https://issues.apache.org/jira/browse/SPARK-20432?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Burak Yavuz closed SPARK-20432.
-------------------------------
    Resolution: Duplicate

> Unioning two identical Streaming DataFrames fails during attribute resolution
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-20432
>                 URL: https://issues.apache.org/jira/browse/SPARK-20432
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 2.1.0
>            Reporter: Burak Yavuz
>
> To reproduce, try unioning two identical Kafka Streams:
> {code}
> df = spark.readStream.format("kafka")... \
>   .select(from_json(col("value").cast("string"), simpleSchema).alias("parsed_value"))
> df.union(df).writeStream...
> {code}
> Exception is confusing:
> {code}
> org.apache.spark.sql.AnalysisException: resolved attribute(s) value#526 missing from value#511,topic#512,partition#513,offset#514L,timestampType#516,key#510,timestamp#515 in operator !Project [jsontostructs(...) AS parsed_value#357];
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org