-C Merge\sthe\sbtreeNext()\sassertion\sbug\sfix\sfrom\strunk.
-D 2018-06-08T19:54:07.050
+C Only\schoose\sto\sscan\san\sIN\soperator\srather\sthan\suse\san\sindex\sif\swe\shave\nreal\sSTAT1\sdata\sto\ssuggest\sit\sis\sadvantageous.
+D 2018-06-08T21:21:01.417
F .fossil-settings/empty-dirs dbb81e8fc0401ac46a1491ab34a7f2c7c0452f2f06b54ebb845d024ca8283ef1
F .fossil-settings/ignore-glob 35175cdfcf539b2318cb04a9901442804be81cd677d8b889fcc9149c21f239ea
F Makefile.in bfc40f350586923e0419d2ea4b559c37ec10ee4b6e210e08c14401f8e340f0da
F src/wal.c aa9cffc7a2bad6b826a86c8562dd4978398720ed41cb8ee7aa9d054eb8b456a0
F src/wal.h 8de5d2d3de0956d6f6cb48c83a4012d5f227b8fe940f3a349a4b7e85ebcb492a
F src/walker.c da987a20d40145c0a03c07d8fefcb2ed363becc7680d0500d9c79915591f5b1f
-F src/where.c 8e95858b398f7451c30ed05dd372f39767f04f423fa1d15a19d568268ae9a557
+F src/where.c e4d48338ca4718c8034f313cca202cc5ca75639a24d27b959b65578198f63c81
F src/whereInt.h b09753e74bf92a8b17cf0e41ca94c44432c454544be6699b5311dcc57bf229c6
F src/wherecode.c 3317f2b083a66d3e65a03edf316ade4ccb0a99c9956273282ebb579b95d4ba96
F src/whereexpr.c e90b2e76dcabc81edff56633bf281bc01d93b71e0c81482dc06925ce39f5844a
F test/in3.test 3cbf58c87f4052cee3a58b37b6389777505aa0c0
F test/in4.test d2b38cba404bc4320f4fe1b595b3d163f212c068
F test/in5.test 7ae37fcd4a5e198291c6ab5f31a5bb3d15397efe8b75a6736d7a95a7b8dd9e08
-F test/in6.test 77c3e1d356d8aeb0864051f0677d3c0a032cf97b7f33a0ba8fa2b04a663f6b7b
+F test/in6.test 62d943a02f722948f4410ee0b53c3cb39acd7c41afb083df8d7004238fe90a20
F test/incrblob.test c9b96afc292aeff43d6687bcb09b0280aa599822
F test/incrblob2.test a494c9e848560039a23974b9119cfc2cf3ad3bd15cc2694ee6367ae537ef8f1f
F test/incrblob3.test d8d036fde015d4a159cd3cbae9d29003b37227a4
F test/rowvalue.test ef851a80f7e6de93b51caca9e4b6b7d2dcd540bbcca7d51860e80435b8b4c0de
F test/rowvalue2.test 060d238b7e5639a7c5630cb5e63e311b44efef2b
F test/rowvalue3.test 3068f508753af69884b12125995f023da0dbb256
-F test/rowvalue4.test cbd1cead27a797d11ec93301fd801c89e97eb1809b3d984b7f16a3876e362eac
+F test/rowvalue4.test 2b20468da3775aba971caf3158e9696a4d99c69a7623fb495f332a596daebbee
F test/rowvalue5.test c81c7d8cf36711ab37675ad7376084ae2a359cb6
F test/rowvalue6.test d19b54feb604d5601f8614b15e214e0774c01087
F test/rowvalue7.test 5d06ff19d9e6969e574a2e662a531dd0c67801a8
F vsixtest/vsixtest.vcxproj.data 2ed517e100c66dc455b492e1a33350c1b20fbcdc
F vsixtest/vsixtest.vcxproj.filters 37e51ffedcdb064aad6ff33b6148725226cd608e
F vsixtest/vsixtest_TemporaryKey.pfx e5b1b036facdb453873e7084e1cae9102ccc67a0
-P 1fa40a78fef4516c39b217bff67efe7e7d2077cca00aae0ef5c2c9cff94f008b 99057383acc8f92093530e216c621d40386a06fe98131ff0af6df524d80a6410
-R 56ae5d735c58aa67ec9684ecac6c800d
+P 11bd66e09035039fbfc4c5631196962dd3f2e6634f5123a7b2fec17aeaaab07b
+R 54c7353f86aece043f7640340784a722
U drh
-Z b50b0532bda90928b75cfc1466c6bb97
+Z b0c1273ce7490f506712c4b76e5917fd
-11bd66e09035039fbfc4c5631196962dd3f2e6634f5123a7b2fec17aeaaab07b
\ No newline at end of file
+30e874661dcc1a2ecb40df2ef74582151d85bb36c754a38548829a3b6285f18d
\ No newline at end of file
assert( nIn>0 ); /* RHS always has 2 or more terms... The parser
** changes "x IN (?)" into "x=?". */
}
- /* Let:
- ** N = the total number of rows in the table
- ** K = the number of entries on the right-hand side of the IN operator
- ** M = the number of rows in the table that match terms to the
- ** to the left in the same index. If the IN operator is on
- ** the left-most index column, M==N.
- **
- ** Given the definitions above, it is better to omit the IN operator
- ** from the index lookup and instead do a scan of the M elements,
- ** testing each scanned row against the IN operator separately, if:
- **
- ** M*log(K) < K*log(N)
- **
- ** Our estimates for M, K, and N might be inaccurate, so we build in
- ** a safety margin of 2 (LogEst: 10) that favors using the IN operator
- ** with the index, as using an index has better worst-case behavior.
- */
- M = pProbe->aiRowLogEst[saved_nEq+1];
- logK = sqlite3LogEst(nIn);
- if( M + logK + 10 < nIn + rLogSize ){
- WHERETRACE(0x40,
- ("IN operator costs more than scan on column %d of \"%s\" (%d<%d)\n",
- saved_nEq, pProbe->zName, M+logK+10, nIn+rLogSize));
- continue;
- }else{
- WHERETRACE(0x40,
- ("IN operator cheaper than scan on column %d of \"%s\" (%d>=%d)\n",
- saved_nEq, pProbe->zName, M+logK+10, nIn+rLogSize));
+ if( pProbe->hasStat1 ){
+ /* Let:
+ ** N = the total number of rows in the table
+ ** K = the number of entries on the RHS of the IN operator
+ ** M = the number of rows in the table that match terms to the
+ ** to the left in the same index. If the IN operator is on
+ ** the left-most index column, M==N.
+ **
+ ** Given the definitions above, it is better to omit the IN operator
+ ** from the index lookup and instead do a scan of the M elements,
+ ** testing each scanned row against the IN operator separately, if:
+ **
+ ** M*log(K) < K*log(N)
+ **
+ ** Our estimates for M, K, and N might be inaccurate, so we build in
+ ** a safety margin of 2 (LogEst: 10) that favors using the IN operator
+ ** with the index, as using an index has better worst-case behavior.
+ ** If we do not have real sqlite_stat1 data, always prefer to use
+ ** the index.
+ */
+ M = pProbe->aiRowLogEst[saved_nEq];
+ logK = estLog(nIn);
+ if( M + logK + 10 < nIn + rLogSize ){
+ WHERETRACE(0x40,
+ ("Scan preferred over IN operator on column %d of \"%s\" (%d<%d)\n",
+ saved_nEq, pProbe->zName, M+logK+10, nIn+rLogSize));
+ continue;
+ }else{
+ WHERETRACE(0x40,
+ ("IN operator preferred on column %d of \"%s\" (%d>=%d)\n",
+ saved_nEq, pProbe->zName, M+logK+10, nIn+rLogSize));
+ }
}
pNew->wsFlags |= WHERE_COLUMN_IN;
}else if( eOp & (WO_EQ|WO_IS) ){
INSERT INTO t1(a,b,c,d)
SELECT 100, 200+x/2, 300+x/5, x FROM c;
CREATE INDEX t1abc ON t1(a,b,c);
+ ANALYZE;
+ UPDATE sqlite_stat1 SET stat='1000000 500000 500 50';
+ ANALYZE sqlite_master;
}
set ::sqlite_search_count 0
db eval {
WITH i(i) AS (
VALUES(1) UNION ALL SELECT i+1 FROM i WHERE i<1000
)
- INSERT INTO d2 SELECT i/3, i%3, i/3 FROM i;
+ INSERT INTO d2 SELECT i/100, i%100, i/100 FROM i;
ANALYZE;
}