Re: 8.4 optimization regression? - Mailing list pgsql-performance

On 24/08/11 15:15, Tom Lane wrote:
> Mark Kirkwood<mark.kirkwood@catalyst.net.nz>  writes:
>> I am in the progress of an 8.3 to 8.4 upgrade for a customer. I seem to
>> have stumbled upon what looks like a regression. The two databases
>> (8.3.14 and 8.4.8) have identical tuning parameters (where that makes
>> sense) and run on identical hardware. Both databases are regularly
>> vacuumed and analyzed (not by autovacuum), and performing an ANALYZE
>> does not change the plans shown below.
> Hmmm ... this is structurally a pretty simple query, so I'm surprised
> that 8.3 and 8.4 see it very much differently.  The relation-level
> estimates and plan choices are very nearly the same; the only thing
> that's changed much is the estimates of the join sizes, and there were
> not that many changes in the join selectivity estimation for simple
> inner joins.  I wonder whether you are seeing a bad side-effect of this
> patch:
>
> http://git.postgresql.org/gitweb/?p=postgresql.git&a=commitdiff&h=7f3eba30
>
> That code would only be reached when one or both join columns lack MCV
> lists in pg_stats; if you had analyzed, the only reason for that to be
> the case is if the column is unique (or nearly so, in ANALYZE's opinion).
>

Right that will be the case -  audit_id is primary key for audit_log.
Stats entries for the join columns look like:

=# SELECT tablename
,attname,n_distinct,most_common_vals,most_common_freqs,histogram_bounds
FROM pg_stats WHERE tablename IN ('correspondence','audit_log') AND
attname IN ('audit_id','generated_audit_id');
-[ RECORD 1

]-----+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tablename         | correspondence
attname           | generated_audit_id
n_distinct        | 4625
most_common_vals  |

{11983812,15865407,4865496,717803,842478,725709,7255002,2389608,4604147,9996442,8693810,4604145,5916872,2389606,3135764,3307895,10527855,7254994,8959356,9595632,6279892,9595640,2604937,5916870,6279950,1180586,2604768,1180638,11526036,4451499,5252795,6279919,6279955,8958886,2604929,6279904,7543722,8959031,2604804,7543823,8958930,8959226,1180650,2604871,3530205,6279960,11051216,11051224,3530140,7838365,15060203,1180309,1180423,3530177,7543749,7543790,8959026,8959083,12834024,1180447,1180632,1180664,2604779,2604901,2604943,6279944,6280027,7543820,8958992,8959011,3530107,6279923,7543085,15866296,1180470,1180473,2604846,2604874,2604892,6279977,6280046,7543496,8958904,8958914,1180281,1180497,2604801,2604973,3529965,6280051,7543654,7543667,7543815,2604840,2604852,2604877,6279947,6279991,6280016,6280095}
most_common_freqs |

{0.0787667,0.0769333,0.00906667,0.00886667,0.00826667,0.00593333,0.00326667,0.003,0.00293333,0.0027,0.00266667,0.00263333,0.00256667,0.0025,0.00246667,0.00203333,0.00203333,0.00196667,0.0019,0.00186667,0.00183333,0.0018,0.00173333,0.00173333,0.00173333,0.0017,0.0017,0.00166667,0.00166667,0.00163333,0.00163333,0.00163333,0.00163333,0.00163333,0.0016,0.0016,0.0016,0.0016,0.00156667,0.00156667,0.00156667,0.00156667,0.00153333,0.00153333,0.00153333,0.00153333,0.00153333,0.00153333,0.0015,0.0015,0.0015,0.00146667,0.00146667,0.00146667,0.00146667,0.00146667,0.00146667,0.00146667,0.00146667,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.00143333,0.0014,0.0014,0.0014,0.0014,0.00136667,0.00136667,0.00136667,0.00136667,0.00136667,0.00136667,0.00136667,0.00136667,0.00136667,0.00136667,0.00133333,0.00133333,0.00133333,0.00133333,0.00133333,0.00133333,0.00133333,0.00133333,0.00133333,0.0013,0.0013,0.0013,0.0013,0.0013,0.0013,0.0013}
histogram_bounds  |

{-614,149124,436276,734992,1111802,1180324,1180449,1180481,1180507,1180610,1180640,1180656,1180672,1475625,1671884,1882852,2257454,2521497,2604750,2604785,2604821,2604857,2604895,2604923,2604957,2683740,3050195,3264561,3529673,3529821,3529894,3530041,3530072,3530093,3530125,3530151,3530181,3530216,3655474,3947599,4230064,4451407,4451648,4604143,4899541,5229325,5442183,5783894,6044973,6279792,6279830,6279872,6279934,6279988,6280024,6280057,6280087,6448106,6666623,6935161,7223774,7543005,7543220,7543548,7543678,7543706,7543733,7543763,7543785,7543831,7730234,8168222,8473126,8704950,8958785,8958894,8958920,8958946,8958981,8959021,8959054,8960124,8963427,9092223,9393810,9649295,9915513,10116459,10340456,10533434,10908764,11474630,12282455,13428124,14054953,14755339,15060207,15769093,16442810,17071416,17860068}
-[ RECORD 2

]-----+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tablename         | audit_log
attname           | audit_id
n_distinct        | -1
most_common_vals  |
most_common_freqs |
histogram_bounds  |

{-899,172915,346206,520991,707646,900140,1090647,1274076,1455922,1631357,1802760,1992032,2160450,2341946,2514505,2670638,2851069,3031271,3190297,3359936,3536716,3706348,3899491,4067528,4232343,4405734,4574480,4753591,4930502,5122384,5287148,5460009,5657326,5824340,6020883,6214608,6409401,6606366,6779433,6945221,7123123,7294108,7495488,7649303,7816323,7997936,8191973,8362771,8526974,8733309,8911487,9099916,9289773,9472155,9661398,9825969,10004845,10176201,10351232,10527642,10680265,10853519,11040326,11229650,11422181,11605451,11806172,11985734,12171654,12364324,12559368,12729402,12912927,13073102,13287145,13455458,13649471,13826738,14004258,14187125,14356543,14539334,14715631,14895857,15060855,15231913,15404735,15577098,15742060,15901413,16088450,16270629,16458319,16650444,16826581,17003138,17158176,17315993,17497551,17687046,17879372}


Cheers

Mark