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https://issues.apache.org/jira/browse/SPARK-7731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-7731.
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Resolution: Duplicate
> Complex Teradata queries throwing Analysis Exception when running on spark
> --------------------------------------------------------------------------
>
> Key: SPARK-7731
> URL: https://issues.apache.org/jira/browse/SPARK-7731
> Project: Spark
> Issue Type: Bug
> Components: Spark Shell
> Affects Versions: 1.3.1
> Environment: develeopement
> Reporter: pankhuri
>
> Connected spark wth tearadata. When running below TeraData query on
> spark-shell:
> select substr(w_warehouse_name,1,20) as xx,sm_type,cc_name
> ,sum(case when (cs_ship_date_sk - cs_sold_date_sk <= 30 ) then 1 else 0 end)
> as days
> ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 30) and
> (cs_ship_date_sk - cs_sold_date_sk <= 60) then 1 else 0 end
> ) as sdays
> ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 60) and
> (cs_ship_date_sk - cs_sold_date_sk <= 90) then 1 else 0 end)
> as rdays
> ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 90) and
> (cs_ship_date_sk - cs_sold_date_sk <= 120) then 1 else 0
> end) as ndays
> ,sum(case when (cs_ship_date_sk - cs_sold_date_sk > 120) then 1 else 0
> end) as dfdays
> from test
> where d_month_seq between 1193 and 1193 + 11
> and cs_ship_date_sk = d_date_sk
> and cs_warehouse_sk = w_warehouse_sk
> and cs_ship_mode_sk = sm_ship_mode_sk
> and cs_call_center_sk = cc_call_center_sk
> group by xx ,sm_type ,cc_name order by xx,sm_type,cc_name
> org.apache.spark.sql.AnalysisException: cannot resolve 'xx' given input
> columns cc_name, sdays, days, sm_type, rdays, xx, ndays, dfdays;
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