Re: hash join vs nested loop join

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On Dec 12, 2012, at 8:25 AM, Huan Ruan <leohuanruan@xxxxxxxxx> wrote:

Hello All

While investigating switching to Postgres, we come across a query plan that uses hash join and is a lot slower than a nested loop join.

I don't understand why the optimiser chooses the hash join in favor of the nested loop. What can I do to get the optimiser to make a better decision (nested loop in this case)? I have run analyze on both tables.


Optimiser thinks that nested loop is more expensive, because of point PK lookups, which a random io.
Can you set random_page_cost to 2 or 3 and try again?


The query is,
/*
   smalltable has about 48,000 records.
   bigtable has about 168,000,000 records.
   invtranref is char(10) and is the primary key for both tables
*/
SELECT
  *
FROM IM_Match_Table smalltable
  inner join invtran bigtable on
    bigtable.invtranref = smalltable.invtranref

The hash join plan is,
"Hash Join  (cost=1681.87..6414169.04 rows=48261 width=171)"
"  Output: smalltable.invtranref, smalltable.itbatchref, smalltable.trantype, smalltable.trandate, smalltable.invprodref, smalltable.invheadref, bigtable.itbatchref, bigtable.invtranref, bigtable.invheadref, bigtable.feeplanref, bigtable.invprodref, bigtable.trantype, bigtable.trandate, bigtable.pricedate, bigtable.units, bigtable.tranamount, bigtable.createmode, bigtable.transtat, bigtable.sysversion, bigtable.sysuser, bigtable.rectype, bigtable.recstat, bigtable.seqnum, bigtable.transign"
"  Hash Cond: (bigtable.invtranref = smalltable.invtranref)"
"  ->  Seq Scan on public.invtran bigtable  (cost=0.00..4730787.28 rows=168121728 width=108)"
"        Output: bigtable.itbatchref, bigtable.invtranref, bigtable.invheadref, bigtable.feeplanref, bigtable.invprodref, bigtable.trantype, bigtable.trandate, bigtable.pricedate, bigtable.units, bigtable.tranamount, bigtable.createmode, bigtable.transtat, bigtable.sysversion, bigtable.sysuser, bigtable.rectype, bigtable.recstat, bigtable.seqnum, bigtable.transign"
"  ->  Hash  (cost=1078.61..1078.61 rows=48261 width=63)"
"        Output: smalltable.invtranref, smalltable.itbatchref, smalltable.trantype, smalltable.trandate, smalltable.invprodref, smalltable.invheadref"
"        ->  Seq Scan on public.im_match_table smalltable  (cost=0.00..1078.61 rows=48261 width=63)"
"              Output: smalltable.invtranref, smalltable.itbatchref, smalltable.trantype, smalltable.trandate, smalltable.invprodref, smalltable.invheadref"
The nested loop join plan is,
"Nested Loop  (cost=0.00..12888684.07 rows=48261 width=171)"
"  Output: smalltable.invtranref, smalltable.itbatchref, smalltable.trantype, smalltable.trandate, smalltable.invprodref, smalltable.invheadref, bigtable.itbatchref, bigtable.invtranref, bigtable.invheadref, bigtable.feeplanref, bigtable.invprodref, bigtable.trantype, bigtable.trandate, bigtable.pricedate, bigtable.units, bigtable.tranamount, bigtable.createmode, bigtable.transtat, bigtable.sysversion, bigtable.sysuser, bigtable.rectype, bigtable.recstat, bigtable.seqnum, bigtable.transign"
"  ->  Seq Scan on public.im_match_table smalltable  (cost=0.00..1078.61 rows=48261 width=63)"
"        Output: smalltable.invtranref, smalltable.itbatchref, smalltable.trantype, smalltable.trandate, smalltable.invprodref, smalltable.invheadref"
"  ->  Index Scan using pk_invtran on public.invtran bigtable  (cost=0.00..267.03 rows=1 width=108)"
"        Output: bigtable.itbatchref, bigtable.invtranref, bigtable.invheadref, bigtable.feeplanref, bigtable.invprodref, bigtable.trantype, bigtable.trandate, bigtable.pricedate, bigtable.units, bigtable.tranamount, bigtable.createmode, bigtable.transtat, bigtable.sysversion, bigtable.sysuser, bigtable.rectype, bigtable.recstat, bigtable.seqnum, bigtable.transign"
"        Index Cond: (bigtable.invtranref = smalltable.invtranref)"
The version is PostgreSQL 9.2.0 on x86_64-unknown-linux-gnu, compiled by gcc (GCC) 4.4.6 20120305 (Red Hat 4.4.6-4), 64-bit. Server specs are:
  • Centos, ext4
  • 24GB memory
  • 6 cores hyper-threaded (Intel(R) Xeon(R) CPU E5645).
  • raid 10 on 4 sata disks

Config changes are

  • shared_buffers = 6GB
  • effective_cache_size = 18GB
  • work_mem = 10MB
  • maintenance_work_mem = 3GB

Many Thanks
Huan







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