接著續上次提到的sqlldr的效能問題，載入乙個表資料400多萬條記錄，竟然用了6個多小時。最後大家爭論不休的時候，我發現應該是網路的問題。
àoriginal logs for issue table, loading around 6 hours.
total logical records skipped: 0
total logical records read: 4096786
total logical records rejected: 0
total logical records discarded: 0
run began on wed jun 11 08:52:55 2014
run ended on wed jun 11 14:57:40 2014
elapsed time was: 06:04:44.05
cpu time was: 00:00:38.18
àafter network enhanced, loading time has reduced to around 4 mins.
total logical records skipped: 0
total logical records read: 4096786
total logical records rejected: 0
total logical records discarded: 0
run began on mon jun 16 12:58:01 2014
run ended on mon jun 16 13:02:15 2014
elapsed time was: 00:04:13.28
cpu time was: 00:00:30.00
àconsidering impact from index, i loaded data again, keep table structure,index exactly the same.
total logical records skipped: 0
total logical records read: 4096786
total logical records rejected: 0
total logical records discarded: 0
run began on mon jun 16 13:09:34 2014
run ended on mon jun 16 13:16:37 2014
elapsed time was: 00:07:02.61
cpu time was: 00:00:31.23
àtune sqlldr command with below options, keep table structure,index exactly the same.
parallel=true bindsize=7500000 readsize=7500000 streamsize=7500000 rows=50000
total logical records skipped: 0
total logical records read: 4096786
total logical records rejected: 0
total logical records discarded: 0
run began on mon jun 16 13:21:13 2014
run ended on mon jun 16 13:24:19 2014
elapsed time was: 00:03:05.75
cpu time was: 00:00:41.27所以綜上所述，在排查了cpu,io,快取，網路的因素後，還可以使用一些選項來優化sqlldr,在某種程度上得到提公升。
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