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POOptimize this query please
 

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  1. POOptimize this query please
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    <pre><code>SELECT B.CE_ID, A.PPL_CNTR_ID, SUM ( A.NBR_IN ) ENTERS, SUM ( A.NBR_OUT ) EXITS, A.LOG_TS + DECODE ( TO_CHAR ( A.LOG_TS, 'mi' ), '05', 55 / 1440, '10', 50 / 1440, '15', 45 / 1440, '20', 40 / 1440, '25', 35 / 1440, '30', 30 / 1440, '35', 25 / 1440, '40', 20 / 1440, '45', 15 / 1440, '50', 10 / 1440, '55', 5 / 1440, 0 ) TS FROM OUTPUTDB.TPPL_CNTR_TRAFFIC A, FLUX.V_CE_PPLCNTR B WHERE A.LOG_TS BETWEEN '07-Sep-13' AND '08-Sep-13' AND A.PPL_CNTR_ID = B.PPL_CNTR_ID AND B.CE_ID IN (SELECT DISTINCT CE_DPN_ID FROM TCE_RLT START WITH CE_PRN_ID = 5798 CONNECT BY PRIOR CE_DPN_ID = CE_PRN_ID) GROUP BY B.CE_ID, A.PPL_CNTR_ID, A.LOG_TS + DECODE ( TO_CHAR ( A.LOG_TS, 'mi' ), '05', 55 / 1440, '10', 50 / 1440, '15', 45 / 1440, '20', 40 / 1440, '25', 35 / 1440, '30', 30 / 1440, '35', 25 / 1440, '40', 20 / 1440, '45', 15 / 1440, '50', 10 / 1440, '55', 5 / 1440, 0 ) ORDER BY B.CE_ID, A.PPL_CNTR_ID, A.LOG_TS + DECODE ( TO_CHAR ( A.LOG_TS, 'mi' ), '05', 55 / 1440, '10', 50 / 1440, '15', 45 / 1440, '20', 40 / 1440, '25', 35 / 1440, '30', 30 / 1440, '35', 25 / 1440, '40', 20 / 1440, '45', 15 / 1440, '50', 10 / 1440, '55', 5 / 1440, 0 ) </code></pre> <p>The inner subquery</p> <pre><code> SELECT DISTINCT CE_DPN_ID FROM TCE_RLT START WITH CE_PRN_ID = 5798 CONNECT BY PRIOR CE_DPN_ID = CE_PRN_ID </code></pre> <p>returns 970 rows , But it's taking very long time to execute , Please suggest any alternate clause or joining so that It runs faster . The 2 tables used have only one column in common , So I am pretty sure no cross joining is taking place .</p>
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    1. USSriniV
    1. USredsoxlost
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      1. POOptimize this query please
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    1. COPlease format your question. Can you add execution plans?
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      1. USColin 't Hart
    2. CONot related to your problem, but this condition: `where a.log_ts between '07-Sep-13' and '08-Sep-13'` relies on implicit data type conversion (which is a very bad thing) and will fail miserably when run from a client using different NLS settings
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      1. USa_horse_with_no_name
 

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