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Posted to issues@spark.apache.org by "Eugene Zhulenev (JIRA)" <ji...@apache.org> on 2015/06/25 23:37:04 UTC
[jira] [Created] (SPARK-8645) Incorrect expression analysis with
Hive
Eugene Zhulenev created SPARK-8645:
--------------------------------------
Summary: Incorrect expression analysis with Hive
Key: SPARK-8645
URL: https://issues.apache.org/jira/browse/SPARK-8645
Project: Spark
Issue Type: Bug
Affects Versions: 1.3.0
Environment: CDH 5.4.2 1.3.0
Reporter: Eugene Zhulenev
When using DataFrame backed by Hive table groupBy with agg can't resolve column if I pass them by String and not Column:
This fails with: org.apache.spark.sql.AnalysisException: expression 'dt' is neither present in the group by, nor is it an aggregate function.
{code}
val grouped = eventLogHLL
.groupBy(dt, ad_id, site_id).agg(
dt,
ad_id,
col(site_id) as site_id,
sum(imp_count) as imp_count,
sum(click_count) as click_count
)
{code}
This works fine:
{code}
val grouped = eventLogHLL
.groupBy(col(dt), col(ad_id), col(site_id)).agg(
col(dt) as dt,
col(ad_id) as ad_id,
col(site_id) as site_id,
sum(imp_count) as imp_count,
sum(click_count) as click_count
)
{code}
Integration tests running with "embedded" spark and DataFrames generated from RDD works fine.
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