[teiid-issues] [JBoss JIRA] (TEIID-4227) Impala Translator - Support Multiple Count Distinct with Group By

[Steven Hawkins (JIRA)]

     [ https://issues.jboss.org/browse/TEIID-4227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Steven Hawkins updated TEIID-4227:
----------------------------------
    Fix Version/s: 9.1


> Impala Translator - Support Multiple Count Distinct with Group By
> -----------------------------------------------------------------
>
>                 Key: TEIID-4227
>                 URL: https://issues.jboss.org/browse/TEIID-4227
>             Project: Teiid
>          Issue Type: Feature Request
>          Components: Misc. Connectors
>    Affects Versions: 8.13.3
>            Reporter: Scott Wallace
>            Assignee: Steven Hawkins
>             Fix For: 9.1
>
>
> This is somewhat related to TEIID-3743, which added support of multiple count distinct metrics. We have a requirement to allow multiple count distinct metrics grouped by common attributes.
> Currently, we get a failure as follows:
> {noformat}org.teiid.runtime.client.TeiidClientException: java.lang.RuntimeException: Remote org.teiid.core.TeiidProcessingException: TEIID30504 vw_impression_click_transaction_process_date_detail: 500051 TEIID11008:TEIID11004 Error executing statement(s): [Prepared Values: [] SQL: SELECT g_0.process_date_key, SUM(g_0.num_clicks), SUM(g_0.num_impressions), COUNT(DISTINCT g_0.orderid), COUNT(DISTINCT g_0.`hash_tid`), SUM(g_0.sales) FROM detail.vw_impression_click_transaction_process_date_detail g_0 WHERE g_0.process_date_key >= '2016-05-22' AND g_0.process_date_key < '2016-05-23' AND g_0.advertiser_key = 12345 GROUP BY g_0.process_date_key]
> {noformat}
> To allow this request to succeed, we could have translator write that Impala query as:
> {noformat}
> select nvl(v1.c1,v2.c1), nvl(v1.c2,v1.c2), nvl(v1.c3,v1.c3), v1.c4, v2.c5, nvl(v1.c6,v1.c6)  from (
> SELECT g_0.process_date_key as c1,
>          SUM(g_0.num_clicks) as c2,
>          SUM(g_0.num_impressions) as c3,
>          COUNT(DISTINCT g_0.orderid) as c4,
>          SUM(g_0.sales) as c6
> FROM detail.vw_impression_click_transaction_process_date_detail g_0
> WHERE g_0.process_date_key >= '2016-05-22'
>         AND g_0.process_date_key < '2016-05-23'
>         AND g_0.advertiser_key = 12345
> GROUP BY  g_0.process_date_key
>   ) v1 inner join
>   (
>     SELECT g_0.process_date_key as c1,
>          SUM(g_0.num_clicks) as c2,
>          SUM(g_0.num_impressions) as c3,
>          COUNT(DISTINCT g_0.`hash_tid`) as c5,
>          SUM(g_0.sales) as c6
> FROM detail.vw_impression_click_transaction_process_date_detail g_0
> WHERE g_0.process_date_key >= '2016-05-22'
>         AND g_0.process_date_key < '2016-05-23'
>         AND g_0.advertiser_key = 12345
> GROUP BY  g_0.process_date_key
>    ) v2 on v1.c1 = v2.c1;
> {noformat}
> FYI [~shawkins]



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