Minor tweaks to query planning weights so that when STAT4 is enabled

and functioning, a full table scan is more likely to be selected if
that seems like the fastest solution.  Only do this when STAT4 info
is available because an error has a large potential downside.

FossilOrigin-Name: 0e7e113d9f2c929c1f8a85e2cfad8e2e60f0e8770212b5e5320fb2a2c42911f8
This commit is contained in:
drh 2020-10-22 18:50:30 +00:00
commit beb22d086b
8 changed files with 45 additions and 21 deletions

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@ -1,5 +1,5 @@
C Fix\sthe\ssqlite3_hard_heap_limit()\sso\sthat\sit\sworks\swith\ssqlite3_realloc64()\nin\saddition\sto\ssqlite3_malloc64().\s\sImprovements\sto\sOOM\sprocessing\sand\ndebugging\saids\sin\sthe\sfuzzcheck\sutility.
D 2020-10-20T14:40:53.201
C Minor\stweaks\sto\squery\splanning\sweights\sso\sthat\swhen\sSTAT4\sis\senabled\nand\sfunctioning,\sa\sfull\stable\sscan\sis\smore\slikely\sto\sbe\sselected\sif\nthat\sseems\slike\sthe\sfastest\ssolution.\s\sOnly\sdo\sthis\swhen\sSTAT4\sinfo\nis\savailable\sbecause\san\serror\shas\sa\slarge\spotential\sdownside.
D 2020-10-22T18:50:30.660
F .fossil-settings/empty-dirs dbb81e8fc0401ac46a1491ab34a7f2c7c0452f2f06b54ebb845d024ca8283ef1
F .fossil-settings/ignore-glob 35175cdfcf539b2318cb04a9901442804be81cd677d8b889fcc9149c21f239ea
F LICENSE.md df5091916dbb40e6e9686186587125e1b2ff51f022cc334e886c19a0e9982724
@ -472,7 +472,7 @@ F sqlite.pc.in 42b7bf0d02e08b9e77734a47798d1a55a9e0716b
F sqlite3.1 fc7ad8990fc8409983309bb80de8c811a7506786
F sqlite3.pc.in 48fed132e7cb71ab676105d2a4dc77127d8c1f3a
F src/alter.c 805de23ddca536181f8f0439df989fdd4a2f76c40bc305ec9fe2f211f68c89e8
F src/analyze.c 5cffff3d355858cd22bfc6e20ac7203510d2e1cc935086eb06f4abb2f579f628
F src/analyze.c 01c6c6765cb4d40b473b71d85535093730770bb186f2f473abac25f07fcdee5c
F src/attach.c 0f497c15c4cfe3bdcb214f0dbdbbb6c5ed7e8a9308ac445c7959f5e5780437a9
F src/auth.c a3d5bfdba83d25abed1013a8c7a5f204e2e29b0c25242a56bc02bb0c07bf1e06
F src/backup.c 3014889fa06e20e6adfa0d07b60097eec1f6e5b06671625f476a714d2356513d
@ -542,7 +542,7 @@ F src/shell.c.in b317d851046496c92e28529eb96f9d2ec1ad480590b1676e0362865f5466f88
F src/sqlite.h.in ff32663b457306eb88c3039868280aa39da31162ed69c4e71fa8e028684e7277
F src/sqlite3.rc 5121c9e10c3964d5755191c80dd1180c122fc3a8
F src/sqlite3ext.h 2d1af80082edffd71c6f96f70ad1ce6a4fb46615ad10291fc77fe0dea9ff0197
F src/sqliteInt.h 34319c13e900063b267052168b277c7bc1e124a1ceef457e450d53ce618bb96e
F src/sqliteInt.h c01115c8dd967f7d334a98ba37ac821eafb04144c8085a795daaf2185743d27a
F src/sqliteLimit.h d7323ffea5208c6af2734574bae933ca8ed2ab728083caa117c9738581a31657
F src/status.c 4b8bc2a6905163a38b739854a35b826c737333fab5b1f8e03fa7eb9a4799c4c1
F src/table.c 0f141b58a16de7e2fbe81c308379e7279f4c6b50eb08efeec5892794a0ba30d1
@ -624,7 +624,7 @@ F src/vxworks.h d2988f4e5a61a4dfe82c6524dd3d6e4f2ce3cdb9
F src/wal.c 69e770e96fd56cc21608992bf2c6f1f3dc5cf2572d0495c6a643b06c3a679f14
F src/wal.h c3aa7825bfa2fe0d85bef2db94655f99870a285778baa36307c0a16da32b226a
F src/walker.c 3df26a33dc4f54e8771600fb7fdebe1ece0896c2ad68c30ab40b017aa4395049
F src/where.c 187174b27f561a8e3775bb13ea7302b90854b0167afa2ff21f1f30174ad4dc10
F src/where.c 03d35ea488e694849923e28ccdce1ef377a5c3738405b5323ff97eb9aa7569c1
F src/whereInt.h 59077fbd0b3d01bc8715e746c86a99ebf4c85bde8a57077ec04d2a23e59666ec
F src/wherecode.c a3a1aff30fe99a818d8e7c607980f033f40c68d890e03ed25838b9dbb7908bee
F src/whereexpr.c 2a05552e808047a93845278c98c6ca64a265fa8e9ffd087c161bb11bfe339866
@ -830,7 +830,7 @@ F test/descidx2.test a0ba347037ff3b811f4c6ceca5fd0f9d5d72e74e59f2d9de346a9d2f6ad
F test/descidx3.test 953c831df7ea219c73826dfbf2f6ee02d95040725aa88ccb4fa43d1a1999b926
F test/diskfull.test 106391384780753ea6896b7b4f005d10e9866b6e
F test/distinct.test e7d0cf371944dd0cbedff86420744e2f1ea2b528156451c97eb6ff41a99b9236
F test/distinct2.test 11b0594c932098e969d084ba45ab81d5040f4d4e766db65d49146705a305ed98
F test/distinct2.test cd1d15a4a2abf579298f7161e821ed50c0119136fe0424db85c52cf0adc230d1
F test/distinctagg.test 1a6ef9c87a58669438fc771450d7a72577417376
F test/e_blobbytes.test 439a945953b35cb6948a552edaec4dc31fd70a05
F test/e_blobclose.test 4b3c8c60c2171164d472059c73e9f3c1844bb66d
@ -1362,7 +1362,7 @@ F test/sidedelete.test f0ad71abe6233e3b153100f3b8d679b19a488329
F test/skipscan1.test ed524bc86f27646b3a297f45d6557b55db338977b6838f8064b196b35848b31b
F test/skipscan2.test 3eb703ce794f139e7b83567911046298bcde29606116727f9b700ce34f559d2d
F test/skipscan3.test ec5bab3f81c7038b43450e7b3062e04a198bdbb5
F test/skipscan5.test 67817a4b6857c47e0e33ba3e506da6f23ef68de2
F test/skipscan5.test 980875ad45d8aacfe7bdec7c288343520cd1d14e84befdcfe50c785f9e6c8709
F test/skipscan6.test 0b4cd1b4ac9f84d91454df513c99a4932fa07e8f27b8049bea605068b3e34ac7
F test/snapshot.test a504f2e7009f512ef66c719f0ea1c55a556bdaf1e1312c80a04d46fc1a3e9632
F test/snapshot2.test 8d6ff5dd9cc503f6e12d408a30409c3f9c653507b24408d9cd7195931c89bc54
@ -1728,7 +1728,7 @@ F test/whereC.test cae295158703cb3fc23bf1a108a9ab730efff0f6
F test/whereD.test c1c335e914e28b122e000e9310f02d2be83e1c9dbca2e29f46bd732703944d1b
F test/whereE.test b3a055eef928c992b0a33198a7b8dc10eea5ad2f
F test/whereF.test 3d9412b1199d3e2bed34fcb76b4c48d0bf4df95d27e3f8dd27b6f8b4716d0d89
F test/whereG.test 9363b2a97d914cb1b81aff5069ef0cf2a071a67e2b604eac6fe9c0114017d9aa
F test/whereG.test 77127a4d214bb21da3b5c695cf4106cd9e418c60d9c24471ba55d3772067cd35
F test/whereH.test e4b07f7a3c2f5d31195cd33710054c78667573b2
F test/whereI.test a2874062140ed4aba9ffae76e6190a3df6fc73d1373fdfa8fd632945082a5364
F test/whereJ.test 88287550f6ee604422403b053455b1ad894eeaa5c35d348532dfa1439286cb9a
@ -1883,7 +1883,8 @@ F vsixtest/vsixtest.tcl 6a9a6ab600c25a91a7acc6293828957a386a8a93
F vsixtest/vsixtest.vcxproj.data 2ed517e100c66dc455b492e1a33350c1b20fbcdc
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F vsixtest/vsixtest_TemporaryKey.pfx e5b1b036facdb453873e7084e1cae9102ccc67a0
P 79da254f41a0d7d5fdc57f0cc40b3560bfcf7f79eed24a9fada1b6b4ca3adb5a
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R 095b8371453be15a7f4050e63d8f5ae1
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U drh
Z d733a42fa58690400682bda5195b036c
Z 659678ebc16d4efb69a249c55f704f9a

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@ -1 +1 @@
602d7369166d406a26834aa47d71d565a17d377d32e41f308821a50b41f91896
0e7e113d9f2c929c1f8a85e2cfad8e2e60f0e8770212b5e5320fb2a2c42911f8

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@ -1772,6 +1772,7 @@ static int loadStatTbl(
}
pSpace = (tRowcnt*)&pIdx->aSample[nSample];
pIdx->aAvgEq = pSpace; pSpace += nIdxCol;
pIdx->pTable->tabFlags |= TF_HasStat4;
for(i=0; i<nSample; i++){
pIdx->aSample[i].anEq = pSpace; pSpace += nIdxCol;
pIdx->aSample[i].anLt = pSpace; pSpace += nIdxCol;

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@ -2187,6 +2187,7 @@ struct Table {
#define TF_OOOHidden 0x0400 /* Out-of-Order hidden columns */
#define TF_HasNotNull 0x0800 /* Contains NOT NULL constraints */
#define TF_Shadow 0x1000 /* True for a shadow table */
#define TF_HasStat4 0x2000 /* STAT4 info available for this table */
/*
** Test to see whether or not a table is a virtual table. This is

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@ -3042,8 +3042,23 @@ static int whereLoopAddBtree(
/* Full table scan */
pNew->iSortIdx = b ? iSortIdx : 0;
/* TUNING: Cost of full table scan is (N*3.0). */
/* TUNING: Cost of full table scan is 3.0*N. The 3.0 factor is an
** extra cost designed to discourage the use of full table scans,
** since index lookups have better worst-case performance if our
** stat guesses are wrong. Reduce the 3.0 penalty slightly
** (to 2.75) if we have valid STAT4 information for the table.
** At 2.75, a full table scan is preferred over using an index on
** a column with just two distinct values where each value has about
** an equal number of appearances. Without STAT4 data, we still want
** to use an index in that case, since the constraint might be for
** the scarcer of the two values, and in that case an index lookup is
** better.
*/
#ifdef SQLITE_ENABLE_STAT4
pNew->rRun = rSize + 16 - 2*((pTab->tabFlags & TF_HasStat4)!=0);
#else
pNew->rRun = rSize + 16;
#endif
ApplyCostMultiplier(pNew->rRun, pTab->costMult);
whereLoopOutputAdjust(pWC, pNew, rSize);
rc = whereLoopInsert(pBuilder, pNew);

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@ -266,7 +266,7 @@ do_execsql_test 2030 {
ANALYZE;
}
do_execsql_test 2040 {
SELECT DISTINCT a, b, x FROM t3 CROSS JOIN t2 ORDER BY a;
SELECT DISTINCT a, b, x FROM t3 CROSS JOIN t2 ORDER BY a, +b;
} {
one 0 1
one 1 1

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@ -30,7 +30,7 @@ do_execsql_test 1.1 {
expr srand(4)
do_test 1.2 {
for {set i 0} {$i < 100} {incr i} {
for {set i 0} {$i < 1000} {incr i} {
set a [expr int(rand()*4.0) + 1]
set b [expr int(rand()*20.0) + 1]
execsql { INSERT INTO t1 VALUES($a, $b, NULL) }
@ -43,7 +43,7 @@ foreach {tn q res} {
2 "b > 12 AND b < 16" {/*ANY(a) AND b>? AND b<?*/}
3 "b > 2 AND b < 16" {/*SCAN TABLE t1*/}
4 "b > 18 AND b < 25" {/*ANY(a) AND b>? AND b<?*/}
5 "b > 15" {/*ANY(a) AND b>?*/}
5 "b > 16" {/*ANY(a) AND b>?*/}
6 "b > 5" {/*SCAN TABLE t1*/}
7 "b < 15" {/*SCAN TABLE t1*/}
8 "b < 5" {/*ANY(a) AND b<?*/}
@ -52,7 +52,7 @@ foreach {tn q res} {
11 "b > '12' AND b < '16'" {/*ANY(a) AND b>? AND b<?*/}
12 "b > '2' AND b < '16'" {/*SCAN TABLE t1*/}
13 "b > '18' AND b < '25'" {/*ANY(a) AND b>? AND b<?*/}
14 "b > '15'" {/*ANY(a) AND b>?*/}
14 "b > '16'" {/*ANY(a) AND b>?*/}
15 "b > '5'" {/*SCAN TABLE t1*/}
16 "b < '15'" {/*SCAN TABLE t1*/}
17 "b < '5'" {/*ANY(a) AND b<?*/}
@ -108,7 +108,7 @@ foreach {tn dbenc coll} {
3 { c > 'q' } {/*ANY(a) AND ANY(b) AND c>?*/}
4 { c > 'e' } {/*SCAN TABLE t2*/}
5 { c < 'q' } {/*SCAN TABLE t2*/}
6 { c < 'c' } {/*ANY(a) AND ANY(b) AND c<?*/}
6 { c < 'b' } {/*ANY(a) AND ANY(b) AND c<?*/}
} {
set sql "EXPLAIN QUERY PLAN SELECT * FROM t2 WHERE $q"
do_execsql_test 2.$tn.$tn2 $sql $res

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@ -220,9 +220,15 @@ do_eqp_test 5.2.4 {
SELECT * FROM t1 WHERE likely(b>?)
} {SCAN TABLE t1}
do_eqp_test 5.3.1 {
SELECT * FROM t1 WHERE a=?
} {SEARCH TABLE t1 USING INDEX i1 (a=?)}
ifcapable stat4 {
do_eqp_test 5.3.1.stat4 {
SELECT * FROM t1 WHERE a=?
} {SCAN TABLE t1}
} else {
do_eqp_test 5.3.1 {
SELECT * FROM t1 WHERE a=?
} {SEARCH TABLE t1 USING INDEX i1}
}
do_eqp_test 5.3.2 {
SELECT * FROM t1 WHERE likelihood(a=?, 0.9)
} {SCAN TABLE t1}