[teiid-issues] [JBoss JIRA] (TEIID-4343) Impala Translator - With Clause Support

[Scott Wallace (JIRA)]

Scott Wallace created TEIID-4343:
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             Summary: Impala Translator - With Clause Support
                 Key: TEIID-4343
                 URL: https://issues.jboss.org/browse/TEIID-4343
             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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