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| /* | |
| ** 2005-07-08 | |
| ** | |
| ** The author disclaims copyright to this source code. In place of | |
| ** a legal notice, here is a blessing: | |
| ** | |
| ** May you do good and not evil. | |
| ** May you find forgiveness for yourself and forgive others. | |
| ** May you share freely, never taking more than you give. | |
| ** | |
| ************************************************************************* | |
| ** This file contains code associated with the ANALYZE command. | |
| ** | |
| ** The ANALYZE command gather statistics about the content of tables | |
| ** and indices. These statistics are made available to the query planner | |
| ** to help it make better decisions about how to perform queries. | |
| ** | |
| ** The following system tables are or have been supported: | |
| ** | |
| ** CREATE TABLE sqlite_stat1(tbl, idx, stat); | |
| ** CREATE TABLE sqlite_stat2(tbl, idx, sampleno, sample); | |
| ** CREATE TABLE sqlite_stat3(tbl, idx, nEq, nLt, nDLt, sample); | |
| ** CREATE TABLE sqlite_stat4(tbl, idx, nEq, nLt, nDLt, sample); | |
| ** | |
| ** Additional tables might be added in future releases of SQLite. | |
| ** The sqlite_stat2 table is not created or used unless the SQLite version | |
| ** is between 3.6.18 and 3.7.8, inclusive, and unless SQLite is compiled | |
| ** with SQLITE_ENABLE_STAT2. The sqlite_stat2 table is deprecated. | |
| ** The sqlite_stat2 table is superseded by sqlite_stat3, which is only | |
| ** created and used by SQLite versions 3.7.9 through 3.29.0 when | |
| ** SQLITE_ENABLE_STAT3 defined. The functionality of sqlite_stat3 | |
| ** is a superset of sqlite_stat2 and is also now deprecated. The | |
| ** sqlite_stat4 is an enhanced version of sqlite_stat3 and is only | |
| ** available when compiled with SQLITE_ENABLE_STAT4 and in SQLite | |
| ** versions 3.8.1 and later. STAT4 is the only variant that is still | |
| ** supported. | |
| ** | |
| ** For most applications, sqlite_stat1 provides all the statistics required | |
| ** for the query planner to make good choices. | |
| ** | |
| ** Format of sqlite_stat1: | |
| ** | |
| ** There is normally one row per index, with the index identified by the | |
| ** name in the idx column. The tbl column is the name of the table to | |
| ** which the index belongs. In each such row, the stat column will be | |
| ** a string consisting of a list of integers. The first integer in this | |
| ** list is the number of rows in the index. (This is the same as the | |
| ** number of rows in the table, except for partial indices.) The second | |
| ** integer is the average number of rows in the index that have the same | |
| ** value in the first column of the index. The third integer is the average | |
| ** number of rows in the index that have the same value for the first two | |
| ** columns. The N-th integer (for N>1) is the average number of rows in | |
| ** the index which have the same value for the first N-1 columns. For | |
| ** a K-column index, there will be K+1 integers in the stat column. If | |
| ** the index is unique, then the last integer will be 1. | |
| ** | |
| ** The list of integers in the stat column can optionally be followed | |
| ** by the keyword "unordered". The "unordered" keyword, if it is present, | |
| ** must be separated from the last integer by a single space. If the | |
| ** "unordered" keyword is present, then the query planner assumes that | |
| ** the index is unordered and will not use the index for a range query. | |
| ** | |
| ** If the sqlite_stat1.idx column is NULL, then the sqlite_stat1.stat | |
| ** column contains a single integer which is the (estimated) number of | |
| ** rows in the table identified by sqlite_stat1.tbl. | |
| ** | |
| ** Format of sqlite_stat2: | |
| ** | |
| ** The sqlite_stat2 is only created and is only used if SQLite is compiled | |
| ** with SQLITE_ENABLE_STAT2 and if the SQLite version number is between | |
| ** 3.6.18 and 3.7.8. The "stat2" table contains additional information | |
| ** about the distribution of keys within an index. The index is identified by | |
| ** the "idx" column and the "tbl" column is the name of the table to which | |
| ** the index belongs. There are usually 10 rows in the sqlite_stat2 | |
| ** table for each index. | |
| ** | |
| ** The sqlite_stat2 entries for an index that have sampleno between 0 and 9 | |
| ** inclusive are samples of the left-most key value in the index taken at | |
| ** evenly spaced points along the index. Let the number of samples be S | |
| ** (10 in the standard build) and let C be the number of rows in the index. | |
| ** Then the sampled rows are given by: | |
| ** | |
| ** rownumber = (i*C*2 + C)/(S*2) | |
| ** | |
| ** For i between 0 and S-1. Conceptually, the index space is divided into | |
| ** S uniform buckets and the samples are the middle row from each bucket. | |
| ** | |
| ** The format for sqlite_stat2 is recorded here for legacy reference. This | |
| ** version of SQLite does not support sqlite_stat2. It neither reads nor | |
| ** writes the sqlite_stat2 table. This version of SQLite only supports | |
| ** sqlite_stat3. | |
| ** | |
| ** Format for sqlite_stat3: | |
| ** | |
| ** The sqlite_stat3 format is a subset of sqlite_stat4. Hence, the | |
| ** sqlite_stat4 format will be described first. Further information | |
| ** about sqlite_stat3 follows the sqlite_stat4 description. | |
| ** | |
| ** Format for sqlite_stat4: | |
| ** | |
| ** As with sqlite_stat2, the sqlite_stat4 table contains histogram data | |
| ** to aid the query planner in choosing good indices based on the values | |
| ** that indexed columns are compared against in the WHERE clauses of | |
| ** queries. | |
| ** | |
| ** The sqlite_stat4 table contains multiple entries for each index. | |
| ** The idx column names the index and the tbl column is the table of the | |
| ** index. If the idx and tbl columns are the same, then the sample is | |
| ** of the INTEGER PRIMARY KEY. The sample column is a blob which is the | |
| ** binary encoding of a key from the index. The nEq column is a | |
| ** list of integers. The first integer is the approximate number | |
| ** of entries in the index whose left-most column exactly matches | |
| ** the left-most column of the sample. The second integer in nEq | |
| ** is the approximate number of entries in the index where the | |
| ** first two columns match the first two columns of the sample. | |
| ** And so forth. nLt is another list of integers that show the approximate | |
| ** number of entries that are strictly less than the sample. The first | |
| ** integer in nLt contains the number of entries in the index where the | |
| ** left-most column is less than the left-most column of the sample. | |
| ** The K-th integer in the nLt entry is the number of index entries | |
| ** where the first K columns are less than the first K columns of the | |
| ** sample. The nDLt column is like nLt except that it contains the | |
| ** number of distinct entries in the index that are less than the | |
| ** sample. | |
| ** | |
| ** There can be an arbitrary number of sqlite_stat4 entries per index. | |
| ** The ANALYZE command will typically generate sqlite_stat4 tables | |
| ** that contain between 10 and 40 samples which are distributed across | |
| ** the key space, though not uniformly, and which include samples with | |
| ** large nEq values. | |
| ** | |
| ** Format for sqlite_stat3 redux: | |
| ** | |
| ** The sqlite_stat3 table is like sqlite_stat4 except that it only | |
| ** looks at the left-most column of the index. The sqlite_stat3.sample | |
| ** column contains the actual value of the left-most column instead | |
| ** of a blob encoding of the complete index key as is found in | |
| ** sqlite_stat4.sample. The nEq, nLt, and nDLt entries of sqlite_stat3 | |
| ** all contain just a single integer which is the same as the first | |
| ** integer in the equivalent columns in sqlite_stat4. | |
| */ | |
| /* | |
| ** This routine generates code that opens the sqlite_statN tables. | |
| ** The sqlite_stat1 table is always relevant. sqlite_stat2 is now | |
| ** obsolete. sqlite_stat3 and sqlite_stat4 are only opened when | |
| ** appropriate compile-time options are provided. | |
| ** | |
| ** If the sqlite_statN tables do not previously exist, it is created. | |
| ** | |
| ** Argument zWhere may be a pointer to a buffer containing a table name, | |
| ** or it may be a NULL pointer. If it is not NULL, then all entries in | |
| ** the sqlite_statN tables associated with the named table are deleted. | |
| ** If zWhere==0, then code is generated to delete all stat table entries. | |
| */ | |
| static void openStatTable( | |
| Parse *pParse, /* Parsing context */ | |
| int iDb, /* The database we are looking in */ | |
| int iStatCur, /* Open the sqlite_stat1 table on this cursor */ | |
| const char *zWhere, /* Delete entries for this table or index */ | |
| const char *zWhereType /* Either "tbl" or "idx" */ | |
| ){ | |
| static const struct { | |
| const char *zName; | |
| const char *zCols; | |
| } aTable[] = { | |
| { "sqlite_stat1", "tbl,idx,stat" }, | |
| { "sqlite_stat4", "tbl,idx,neq,nlt,ndlt,sample" }, | |
| { "sqlite_stat4", 0 }, | |
| { "sqlite_stat3", 0 }, | |
| }; | |
| int i; | |
| sqlite3 *db = pParse->db; | |
| Db *pDb; | |
| Vdbe *v = sqlite3GetVdbe(pParse); | |
| u32 aRoot[ArraySize(aTable)]; | |
| u8 aCreateTbl[ArraySize(aTable)]; | |
| const int nToOpen = OptimizationEnabled(db,SQLITE_Stat4) ? 2 : 1; | |
| const int nToOpen = 1; | |
| if( v==0 ) return; | |
| assert( sqlite3BtreeHoldsAllMutexes(db) ); | |
| assert( sqlite3VdbeDb(v)==db ); | |
| pDb = &db->aDb[iDb]; | |
| /* Create new statistic tables if they do not exist, or clear them | |
| ** if they do already exist. | |
| */ | |
| for(i=0; i<ArraySize(aTable); i++){ | |
| const char *zTab = aTable[i].zName; | |
| Table *pStat; | |
| aCreateTbl[i] = 0; | |
| if( (pStat = sqlite3FindTable(db, zTab, pDb->zDbSName))==0 ){ | |
| if( i<nToOpen ){ | |
| /* The sqlite_statN table does not exist. Create it. Note that a | |
| ** side-effect of the CREATE TABLE statement is to leave the rootpage | |
| ** of the new table in register pParse->regRoot. This is important | |
| ** because the OpenWrite opcode below will be needing it. */ | |
| sqlite3NestedParse(pParse, | |
| "CREATE TABLE %Q.%s(%s)", pDb->zDbSName, zTab, aTable[i].zCols | |
| ); | |
| assert( pParse->isCreate || pParse->nErr ); | |
| aRoot[i] = (u32)pParse->u1.cr.regRoot; | |
| aCreateTbl[i] = OPFLAG_P2ISREG; | |
| } | |
| }else{ | |
| /* The table already exists. If zWhere is not NULL, delete all entries | |
| ** associated with the table zWhere. If zWhere is NULL, delete the | |
| ** entire contents of the table. */ | |
| aRoot[i] = pStat->tnum; | |
| sqlite3TableLock(pParse, iDb, aRoot[i], 1, zTab); | |
| if( zWhere ){ | |
| sqlite3NestedParse(pParse, | |
| "DELETE FROM %Q.%s WHERE %s=%Q", | |
| pDb->zDbSName, zTab, zWhereType, zWhere | |
| ); | |
| }else if( db->xPreUpdateCallback ){ | |
| sqlite3NestedParse(pParse, "DELETE FROM %Q.%s", pDb->zDbSName, zTab); | |
| }else{ | |
| /* The sqlite_stat[134] table already exists. Delete all rows. */ | |
| sqlite3VdbeAddOp2(v, OP_Clear, (int)aRoot[i], iDb); | |
| } | |
| } | |
| } | |
| /* Open the sqlite_stat[134] tables for writing. */ | |
| for(i=0; i<nToOpen; i++){ | |
| assert( i<ArraySize(aTable) ); | |
| sqlite3VdbeAddOp4Int(v, OP_OpenWrite, iStatCur+i, (int)aRoot[i], iDb, 3); | |
| sqlite3VdbeChangeP5(v, aCreateTbl[i]); | |
| VdbeComment((v, aTable[i].zName)); | |
| } | |
| } | |
| /* | |
| ** Recommended number of samples for sqlite_stat4 | |
| */ | |
| /* | |
| ** Three SQL functions - stat_init(), stat_push(), and stat_get() - | |
| ** share an instance of the following structure to hold their state | |
| ** information. | |
| */ | |
| typedef struct StatAccum StatAccum; | |
| typedef struct StatSample StatSample; | |
| struct StatSample { | |
| tRowcnt *anDLt; /* sqlite_stat4.nDLt */ | |
| tRowcnt *anEq; /* sqlite_stat4.nEq */ | |
| tRowcnt *anLt; /* sqlite_stat4.nLt */ | |
| union { | |
| i64 iRowid; /* Rowid in main table of the key */ | |
| u8 *aRowid; /* Key for WITHOUT ROWID tables */ | |
| } u; | |
| u32 nRowid; /* Sizeof aRowid[] */ | |
| u8 isPSample; /* True if a periodic sample */ | |
| int iCol; /* If !isPSample, the reason for inclusion */ | |
| u32 iHash; /* Tiebreaker hash */ | |
| }; | |
| struct StatAccum { | |
| sqlite3 *db; /* Database connection, for malloc() */ | |
| tRowcnt nEst; /* Estimated number of rows */ | |
| tRowcnt nRow; /* Number of rows visited so far */ | |
| int nLimit; /* Analysis row-scan limit */ | |
| int nCol; /* Number of columns in index + pk/rowid */ | |
| int nKeyCol; /* Number of index columns w/o the pk/rowid */ | |
| u8 nSkipAhead; /* Number of times of skip-ahead */ | |
| StatSample current; /* Current row as a StatSample */ | |
| tRowcnt nPSample; /* How often to do a periodic sample */ | |
| int mxSample; /* Maximum number of samples to accumulate */ | |
| u32 iPrn; /* Pseudo-random number used for sampling */ | |
| StatSample *aBest; /* Array of nCol best samples */ | |
| int iMin; /* Index in a[] of entry with minimum score */ | |
| int nSample; /* Current number of samples */ | |
| int nMaxEqZero; /* Max leading 0 in anEq[] for any a[] entry */ | |
| int iGet; /* Index of current sample accessed by stat_get() */ | |
| StatSample *a; /* Array of mxSample StatSample objects */ | |
| }; | |
| /* Reclaim memory used by a StatSample | |
| */ | |
| static void sampleClear(sqlite3 *db, StatSample *p){ | |
| assert( db!=0 ); | |
| if( p->nRowid ){ | |
| sqlite3DbFree(db, p->u.aRowid); | |
| p->nRowid = 0; | |
| } | |
| } | |
| /* Initialize the BLOB value of a ROWID | |
| */ | |
| static void sampleSetRowid(sqlite3 *db, StatSample *p, int n, const u8 *pData){ | |
| assert( db!=0 ); | |
| if( p->nRowid ) sqlite3DbFree(db, p->u.aRowid); | |
| p->u.aRowid = sqlite3DbMallocRawNN(db, n); | |
| if( p->u.aRowid ){ | |
| p->nRowid = n; | |
| memcpy(p->u.aRowid, pData, n); | |
| }else{ | |
| p->nRowid = 0; | |
| } | |
| } | |
| /* Initialize the INTEGER value of a ROWID. | |
| */ | |
| static void sampleSetRowidInt64(sqlite3 *db, StatSample *p, i64 iRowid){ | |
| assert( db!=0 ); | |
| if( p->nRowid ) sqlite3DbFree(db, p->u.aRowid); | |
| p->nRowid = 0; | |
| p->u.iRowid = iRowid; | |
| } | |
| /* | |
| ** Copy the contents of object (*pFrom) into (*pTo). | |
| */ | |
| static void sampleCopy(StatAccum *p, StatSample *pTo, StatSample *pFrom){ | |
| pTo->isPSample = pFrom->isPSample; | |
| pTo->iCol = pFrom->iCol; | |
| pTo->iHash = pFrom->iHash; | |
| memcpy(pTo->anEq, pFrom->anEq, sizeof(tRowcnt)*p->nCol); | |
| memcpy(pTo->anLt, pFrom->anLt, sizeof(tRowcnt)*p->nCol); | |
| memcpy(pTo->anDLt, pFrom->anDLt, sizeof(tRowcnt)*p->nCol); | |
| if( pFrom->nRowid ){ | |
| sampleSetRowid(p->db, pTo, pFrom->nRowid, pFrom->u.aRowid); | |
| }else{ | |
| sampleSetRowidInt64(p->db, pTo, pFrom->u.iRowid); | |
| } | |
| } | |
| /* | |
| ** Reclaim all memory of a StatAccum structure. | |
| */ | |
| static void statAccumDestructor(void *pOld){ | |
| StatAccum *p = (StatAccum*)pOld; | |
| if( p->mxSample ){ | |
| int i; | |
| for(i=0; i<p->nCol; i++) sampleClear(p->db, p->aBest+i); | |
| for(i=0; i<p->mxSample; i++) sampleClear(p->db, p->a+i); | |
| sampleClear(p->db, &p->current); | |
| } | |
| sqlite3DbFree(p->db, p); | |
| } | |
| /* | |
| ** Implementation of the stat_init(N,K,C,L) SQL function. The four parameters | |
| ** are: | |
| ** N: The number of columns in the index including the rowid/pk (note 1) | |
| ** K: The number of columns in the index excluding the rowid/pk. | |
| ** C: Estimated number of rows in the index | |
| ** L: A limit on the number of rows to scan, or 0 for no-limit | |
| ** | |
| ** Note 1: In the special case of the covering index that implements a | |
| ** WITHOUT ROWID table, N is the number of PRIMARY KEY columns, not the | |
| ** total number of columns in the table. | |
| ** | |
| ** For indexes on ordinary rowid tables, N==K+1. But for indexes on | |
| ** WITHOUT ROWID tables, N=K+P where P is the number of columns in the | |
| ** PRIMARY KEY of the table. The covering index that implements the | |
| ** original WITHOUT ROWID table as N==K as a special case. | |
| ** | |
| ** This routine allocates the StatAccum object in heap memory. The return | |
| ** value is a pointer to the StatAccum object. The datatype of the | |
| ** return value is BLOB, but it is really just a pointer to the StatAccum | |
| ** object. | |
| */ | |
| static void statInit( | |
| sqlite3_context *context, | |
| int argc, | |
| sqlite3_value **argv | |
| ){ | |
| StatAccum *p; | |
| int nCol; /* Number of columns in index being sampled */ | |
| int nKeyCol; /* Number of key columns */ | |
| int nColUp; /* nCol rounded up for alignment */ | |
| i64 n; /* Bytes of space to allocate */ | |
| sqlite3 *db = sqlite3_context_db_handle(context); /* Database connection */ | |
| /* Maximum number of samples. 0 if STAT4 data is not collected */ | |
| int mxSample = OptimizationEnabled(db,SQLITE_Stat4) ?SQLITE_STAT4_SAMPLES :0; | |
| /* Decode the three function arguments */ | |
| UNUSED_PARAMETER(argc); | |
| nCol = sqlite3_value_int(argv[0]); | |
| assert( nCol>0 ); | |
| nColUp = sizeof(tRowcnt)<8 ? (nCol+1)&~1 : nCol; | |
| nKeyCol = sqlite3_value_int(argv[1]); | |
| assert( nKeyCol<=nCol ); | |
| assert( nKeyCol>0 ); | |
| /* Allocate the space required for the StatAccum object */ | |
| n = sizeof(*p) | |
| + sizeof(tRowcnt)*nColUp; /* StatAccum.anDLt */ | |
| n += sizeof(tRowcnt)*nColUp; /* StatAccum.anEq */ | |
| if( mxSample ){ | |
| n += sizeof(tRowcnt)*nColUp /* StatAccum.anLt */ | |
| + sizeof(StatSample)*(nCol+mxSample) /* StatAccum.aBest[], a[] */ | |
| + sizeof(tRowcnt)*3*nColUp*(nCol+mxSample); | |
| } | |
| p = sqlite3DbMallocZero(db, n); | |
| if( p==0 ){ | |
| sqlite3_result_error_nomem(context); | |
| return; | |
| } | |
| p->db = db; | |
| p->nEst = sqlite3_value_int64(argv[2]); | |
| p->nRow = 0; | |
| p->nLimit = sqlite3_value_int(argv[3]); | |
| p->nCol = nCol; | |
| p->nKeyCol = nKeyCol; | |
| p->nSkipAhead = 0; | |
| p->current.anDLt = (tRowcnt*)&p[1]; | |
| p->current.anEq = &p->current.anDLt[nColUp]; | |
| p->mxSample = p->nLimit==0 ? mxSample : 0; | |
| if( mxSample ){ | |
| u8 *pSpace; /* Allocated space not yet assigned */ | |
| int i; /* Used to iterate through p->aSample[] */ | |
| p->iGet = -1; | |
| p->nPSample = (tRowcnt)(p->nEst/(mxSample/3+1) + 1); | |
| p->current.anLt = &p->current.anEq[nColUp]; | |
| p->iPrn = 0x689e962d*(u32)nCol ^ 0xd0944565*(u32)sqlite3_value_int(argv[2]); | |
| /* Set up the StatAccum.a[] and aBest[] arrays */ | |
| p->a = (struct StatSample*)&p->current.anLt[nColUp]; | |
| p->aBest = &p->a[mxSample]; | |
| pSpace = (u8*)(&p->a[mxSample+nCol]); | |
| for(i=0; i<(mxSample+nCol); i++){ | |
| p->a[i].anEq = (tRowcnt *)pSpace; pSpace += (sizeof(tRowcnt) * nColUp); | |
| p->a[i].anLt = (tRowcnt *)pSpace; pSpace += (sizeof(tRowcnt) * nColUp); | |
| p->a[i].anDLt = (tRowcnt *)pSpace; pSpace += (sizeof(tRowcnt) * nColUp); | |
| } | |
| assert( (pSpace - (u8*)p)==n ); | |
| for(i=0; i<nCol; i++){ | |
| p->aBest[i].iCol = i; | |
| } | |
| } | |
| /* Return a pointer to the allocated object to the caller. Note that | |
| ** only the pointer (the 2nd parameter) matters. The size of the object | |
| ** (given by the 3rd parameter) is never used and can be any positive | |
| ** value. */ | |
| sqlite3_result_blob(context, p, sizeof(*p), statAccumDestructor); | |
| } | |
| static const FuncDef statInitFuncdef = { | |
| 4, /* nArg */ | |
| SQLITE_UTF8, /* funcFlags */ | |
| 0, /* pUserData */ | |
| 0, /* pNext */ | |
| statInit, /* xSFunc */ | |
| 0, /* xFinalize */ | |
| 0, 0, /* xValue, xInverse */ | |
| "stat_init", /* zName */ | |
| {0} | |
| }; | |
| /* | |
| ** pNew and pOld are both candidate non-periodic samples selected for | |
| ** the same column (pNew->iCol==pOld->iCol). Ignoring this column and | |
| ** considering only any trailing columns and the sample hash value, this | |
| ** function returns true if sample pNew is to be preferred over pOld. | |
| ** In other words, if we assume that the cardinalities of the selected | |
| ** column for pNew and pOld are equal, is pNew to be preferred over pOld. | |
| ** | |
| ** This function assumes that for each argument sample, the contents of | |
| ** the anEq[] array from pSample->anEq[pSample->iCol+1] onwards are valid. | |
| */ | |
| static int sampleIsBetterPost( | |
| StatAccum *pAccum, | |
| StatSample *pNew, | |
| StatSample *pOld | |
| ){ | |
| int nCol = pAccum->nCol; | |
| int i; | |
| assert( pNew->iCol==pOld->iCol ); | |
| for(i=pNew->iCol+1; i<nCol; i++){ | |
| if( pNew->anEq[i]>pOld->anEq[i] ) return 1; | |
| if( pNew->anEq[i]<pOld->anEq[i] ) return 0; | |
| } | |
| if( pNew->iHash>pOld->iHash ) return 1; | |
| return 0; | |
| } | |
| /* | |
| ** Return true if pNew is to be preferred over pOld. | |
| ** | |
| ** This function assumes that for each argument sample, the contents of | |
| ** the anEq[] array from pSample->anEq[pSample->iCol] onwards are valid. | |
| */ | |
| static int sampleIsBetter( | |
| StatAccum *pAccum, | |
| StatSample *pNew, | |
| StatSample *pOld | |
| ){ | |
| tRowcnt nEqNew = pNew->anEq[pNew->iCol]; | |
| tRowcnt nEqOld = pOld->anEq[pOld->iCol]; | |
| assert( pOld->isPSample==0 && pNew->isPSample==0 ); | |
| assert( IsStat4 || (pNew->iCol==0 && pOld->iCol==0) ); | |
| if( (nEqNew>nEqOld) ) return 1; | |
| if( nEqNew==nEqOld ){ | |
| if( pNew->iCol<pOld->iCol ) return 1; | |
| return (pNew->iCol==pOld->iCol && sampleIsBetterPost(pAccum, pNew, pOld)); | |
| } | |
| return 0; | |
| } | |
| /* | |
| ** Copy the contents of sample *pNew into the p->a[] array. If necessary, | |
| ** remove the least desirable sample from p->a[] to make room. | |
| */ | |
| static void sampleInsert(StatAccum *p, StatSample *pNew, int nEqZero){ | |
| StatSample *pSample = 0; | |
| int i; | |
| assert( IsStat4 || nEqZero==0 ); | |
| /* StatAccum.nMaxEqZero is set to the maximum number of leading 0 | |
| ** values in the anEq[] array of any sample in StatAccum.a[]. In | |
| ** other words, if nMaxEqZero is n, then it is guaranteed that there | |
| ** are no samples with StatSample.anEq[m]==0 for (m>=n). */ | |
| if( nEqZero>p->nMaxEqZero ){ | |
| p->nMaxEqZero = nEqZero; | |
| } | |
| if( pNew->isPSample==0 ){ | |
| StatSample *pUpgrade = 0; | |
| assert( pNew->anEq[pNew->iCol]>0 ); | |
| /* This sample is being added because the prefix that ends in column | |
| ** iCol occurs many times in the table. However, if we have already | |
| ** added a sample that shares this prefix, there is no need to add | |
| ** this one. Instead, upgrade the priority of the highest priority | |
| ** existing sample that shares this prefix. */ | |
| for(i=p->nSample-1; i>=0; i--){ | |
| StatSample *pOld = &p->a[i]; | |
| if( pOld->anEq[pNew->iCol]==0 ){ | |
| if( pOld->isPSample ) return; | |
| assert( pOld->iCol>pNew->iCol ); | |
| assert( sampleIsBetter(p, pNew, pOld) ); | |
| if( pUpgrade==0 || sampleIsBetter(p, pOld, pUpgrade) ){ | |
| pUpgrade = pOld; | |
| } | |
| } | |
| } | |
| if( pUpgrade ){ | |
| pUpgrade->iCol = pNew->iCol; | |
| pUpgrade->anEq[pUpgrade->iCol] = pNew->anEq[pUpgrade->iCol]; | |
| goto find_new_min; | |
| } | |
| } | |
| /* If necessary, remove sample iMin to make room for the new sample. */ | |
| if( p->nSample>=p->mxSample ){ | |
| StatSample *pMin = &p->a[p->iMin]; | |
| tRowcnt *anEq = pMin->anEq; | |
| tRowcnt *anLt = pMin->anLt; | |
| tRowcnt *anDLt = pMin->anDLt; | |
| sampleClear(p->db, pMin); | |
| memmove(pMin, &pMin[1], sizeof(p->a[0])*(p->nSample-p->iMin-1)); | |
| pSample = &p->a[p->nSample-1]; | |
| pSample->nRowid = 0; | |
| pSample->anEq = anEq; | |
| pSample->anDLt = anDLt; | |
| pSample->anLt = anLt; | |
| p->nSample = p->mxSample-1; | |
| } | |
| /* The "rows less-than" for the rowid column must be greater than that | |
| ** for the last sample in the p->a[] array. Otherwise, the samples would | |
| ** be out of order. */ | |
| assert( p->nSample==0 | |
| || pNew->anLt[p->nCol-1] > p->a[p->nSample-1].anLt[p->nCol-1] ); | |
| /* Insert the new sample */ | |
| pSample = &p->a[p->nSample]; | |
| sampleCopy(p, pSample, pNew); | |
| p->nSample++; | |
| /* Zero the first nEqZero entries in the anEq[] array. */ | |
| memset(pSample->anEq, 0, sizeof(tRowcnt)*nEqZero); | |
| find_new_min: | |
| if( p->nSample>=p->mxSample ){ | |
| int iMin = -1; | |
| for(i=0; i<p->mxSample; i++){ | |
| if( p->a[i].isPSample ) continue; | |
| if( iMin<0 || sampleIsBetter(p, &p->a[iMin], &p->a[i]) ){ | |
| iMin = i; | |
| } | |
| } | |
| assert( iMin>=0 ); | |
| p->iMin = iMin; | |
| } | |
| } | |
| /* | |
| ** Field iChng of the index being scanned has changed. So at this point | |
| ** p->current contains a sample that reflects the previous row of the | |
| ** index. The value of anEq[iChng] and subsequent anEq[] elements are | |
| ** correct at this point. | |
| */ | |
| static void samplePushPrevious(StatAccum *p, int iChng){ | |
| int i; | |
| /* Check if any samples from the aBest[] array should be pushed | |
| ** into IndexSample.a[] at this point. */ | |
| for(i=(p->nCol-2); i>=iChng; i--){ | |
| StatSample *pBest = &p->aBest[i]; | |
| pBest->anEq[i] = p->current.anEq[i]; | |
| if( p->nSample<p->mxSample || sampleIsBetter(p, pBest, &p->a[p->iMin]) ){ | |
| sampleInsert(p, pBest, i); | |
| } | |
| } | |
| /* Check that no sample contains an anEq[] entry with an index of | |
| ** p->nMaxEqZero or greater set to zero. */ | |
| for(i=p->nSample-1; i>=0; i--){ | |
| int j; | |
| for(j=p->nMaxEqZero; j<p->nCol; j++) assert( p->a[i].anEq[j]>0 ); | |
| } | |
| /* Update the anEq[] fields of any samples already collected. */ | |
| if( iChng<p->nMaxEqZero ){ | |
| for(i=p->nSample-1; i>=0; i--){ | |
| int j; | |
| for(j=iChng; j<p->nCol; j++){ | |
| if( p->a[i].anEq[j]==0 ) p->a[i].anEq[j] = p->current.anEq[j]; | |
| } | |
| } | |
| p->nMaxEqZero = iChng; | |
| } | |
| } | |
| /* | |
| ** Implementation of the stat_push SQL function: stat_push(P,C,R) | |
| ** Arguments: | |
| ** | |
| ** P Pointer to the StatAccum object created by stat_init() | |
| ** C Index of left-most column to differ from previous row | |
| ** R Rowid for the current row. Might be a key record for | |
| ** WITHOUT ROWID tables. | |
| ** | |
| ** The purpose of this routine is to collect statistical data and/or | |
| ** samples from the index being analyzed into the StatAccum object. | |
| ** The stat_get() SQL function will be used afterwards to | |
| ** retrieve the information gathered. | |
| ** | |
| ** This SQL function usually returns NULL, but might return an integer | |
| ** if it wants the byte-code to do special processing. | |
| ** | |
| ** The R parameter is only used for STAT4 | |
| */ | |
| static void statPush( | |
| sqlite3_context *context, | |
| int argc, | |
| sqlite3_value **argv | |
| ){ | |
| int i; | |
| /* The three function arguments */ | |
| StatAccum *p = (StatAccum*)sqlite3_value_blob(argv[0]); | |
| int iChng = sqlite3_value_int(argv[1]); | |
| UNUSED_PARAMETER( argc ); | |
| UNUSED_PARAMETER( context ); | |
| assert( p->nCol>0 ); | |
| assert( iChng<p->nCol ); | |
| if( p->nRow==0 ){ | |
| /* This is the first call to this function. Do initialization. */ | |
| for(i=0; i<p->nCol; i++) p->current.anEq[i] = 1; | |
| }else{ | |
| /* Second and subsequent calls get processed here */ | |
| if( p->mxSample ) samplePushPrevious(p, iChng); | |
| /* Update anDLt[], anLt[] and anEq[] to reflect the values that apply | |
| ** to the current row of the index. */ | |
| for(i=0; i<iChng; i++){ | |
| p->current.anEq[i]++; | |
| } | |
| for(i=iChng; i<p->nCol; i++){ | |
| p->current.anDLt[i]++; | |
| if( p->mxSample ) p->current.anLt[i] += p->current.anEq[i]; | |
| p->current.anEq[i] = 1; | |
| } | |
| } | |
| p->nRow++; | |
| if( p->mxSample ){ | |
| tRowcnt nLt; | |
| if( sqlite3_value_type(argv[2])==SQLITE_INTEGER ){ | |
| sampleSetRowidInt64(p->db, &p->current, sqlite3_value_int64(argv[2])); | |
| }else{ | |
| sampleSetRowid(p->db, &p->current, sqlite3_value_bytes(argv[2]), | |
| sqlite3_value_blob(argv[2])); | |
| } | |
| p->current.iHash = p->iPrn = p->iPrn*1103515245 + 12345; | |
| nLt = p->current.anLt[p->nCol-1]; | |
| /* Check if this is to be a periodic sample. If so, add it. */ | |
| if( (nLt/p->nPSample)!=(nLt+1)/p->nPSample ){ | |
| p->current.isPSample = 1; | |
| p->current.iCol = 0; | |
| sampleInsert(p, &p->current, p->nCol-1); | |
| p->current.isPSample = 0; | |
| } | |
| /* Update the aBest[] array. */ | |
| for(i=0; i<(p->nCol-1); i++){ | |
| p->current.iCol = i; | |
| if( i>=iChng || sampleIsBetterPost(p, &p->current, &p->aBest[i]) ){ | |
| sampleCopy(p, &p->aBest[i], &p->current); | |
| } | |
| } | |
| }else | |
| if( p->nLimit && p->nRow>(tRowcnt)p->nLimit*(p->nSkipAhead+1) ){ | |
| p->nSkipAhead++; | |
| sqlite3_result_int(context, p->current.anDLt[0]>0); | |
| } | |
| } | |
| static const FuncDef statPushFuncdef = { | |
| 2+IsStat4, /* nArg */ | |
| SQLITE_UTF8, /* funcFlags */ | |
| 0, /* pUserData */ | |
| 0, /* pNext */ | |
| statPush, /* xSFunc */ | |
| 0, /* xFinalize */ | |
| 0, 0, /* xValue, xInverse */ | |
| "stat_push", /* zName */ | |
| {0} | |
| }; | |
| /* | |
| ** Implementation of the stat_get(P,J) SQL function. This routine is | |
| ** used to query statistical information that has been gathered into | |
| ** the StatAccum object by prior calls to stat_push(). The P parameter | |
| ** has type BLOB but it is really just a pointer to the StatAccum object. | |
| ** The content to returned is determined by the parameter J | |
| ** which is one of the STAT_GET_xxxx values defined above. | |
| ** | |
| ** The stat_get(P,J) function is not available to generic SQL. It is | |
| ** inserted as part of a manually constructed bytecode program. (See | |
| ** the callStatGet() routine below.) It is guaranteed that the P | |
| ** parameter will always be a pointer to a StatAccum object, never a | |
| ** NULL. | |
| ** | |
| ** If STAT4 is not enabled, then J is always | |
| ** STAT_GET_STAT1 and is hence omitted and this routine becomes | |
| ** a one-parameter function, stat_get(P), that always returns the | |
| ** stat1 table entry information. | |
| */ | |
| static void statGet( | |
| sqlite3_context *context, | |
| int argc, | |
| sqlite3_value **argv | |
| ){ | |
| StatAccum *p = (StatAccum*)sqlite3_value_blob(argv[0]); | |
| /* STAT4 has a parameter on this routine. */ | |
| int eCall = sqlite3_value_int(argv[1]); | |
| assert( argc==2 ); | |
| assert( eCall==STAT_GET_STAT1 || eCall==STAT_GET_NEQ | |
| || eCall==STAT_GET_ROWID || eCall==STAT_GET_NLT | |
| || eCall==STAT_GET_NDLT | |
| ); | |
| assert( eCall==STAT_GET_STAT1 || p->mxSample ); | |
| if( eCall==STAT_GET_STAT1 ) | |
| assert( argc==1 ); | |
| { | |
| /* Return the value to store in the "stat" column of the sqlite_stat1 | |
| ** table for this index. | |
| ** | |
| ** The value is a string composed of a list of integers describing | |
| ** the index. The first integer in the list is the total number of | |
| ** entries in the index. There is one additional integer in the list | |
| ** for each indexed column. This additional integer is an estimate of | |
| ** the number of rows matched by a equality query on the index using | |
| ** a key with the corresponding number of fields. In other words, | |
| ** if the index is on columns (a,b) and the sqlite_stat1 value is | |
| ** "100 10 2", then SQLite estimates that: | |
| ** | |
| ** * the index contains 100 rows, | |
| ** * "WHERE a=?" matches 10 rows, and | |
| ** * "WHERE a=? AND b=?" matches 2 rows. | |
| ** | |
| ** If D is the count of distinct values and K is the total number of | |
| ** rows, then each estimate is usually computed as: | |
| ** | |
| ** I = (K+D-1)/D | |
| ** | |
| ** In other words, I is K/D rounded up to the next whole integer. | |
| ** However, if I is between 1.0 and 1.1 (in other words if I is | |
| ** close to 1.0 but just a little larger) then do not round up but | |
| ** instead keep the I value at 1.0. | |
| */ | |
| sqlite3_str sStat; /* Text of the constructed "stat" line */ | |
| int i; /* Loop counter */ | |
| sqlite3StrAccumInit(&sStat, 0, 0, 0, (p->nKeyCol+1)*100); | |
| sqlite3_str_appendf(&sStat, "%llu", | |
| p->nSkipAhead ? (u64)p->nEst : (u64)p->nRow); | |
| for(i=0; i<p->nKeyCol; i++){ | |
| u64 nDistinct = p->current.anDLt[i] + 1; | |
| u64 iVal = (p->nRow + nDistinct - 1) / nDistinct; | |
| if( iVal==2 && p->nRow*10 <= nDistinct*11 ) iVal = 1; | |
| sqlite3_str_appendf(&sStat, " %llu", iVal); | |
| assert( p->current.anEq[i] || p->nRow==0 ); | |
| } | |
| sqlite3ResultStrAccum(context, &sStat); | |
| } | |
| else if( eCall==STAT_GET_ROWID ){ | |
| if( p->iGet<0 ){ | |
| samplePushPrevious(p, 0); | |
| p->iGet = 0; | |
| } | |
| if( p->iGet<p->nSample ){ | |
| StatSample *pS = p->a + p->iGet; | |
| if( pS->nRowid==0 ){ | |
| sqlite3_result_int64(context, pS->u.iRowid); | |
| }else{ | |
| sqlite3_result_blob(context, pS->u.aRowid, pS->nRowid, | |
| SQLITE_TRANSIENT); | |
| } | |
| } | |
| }else{ | |
| tRowcnt *aCnt = 0; | |
| sqlite3_str sStat; | |
| int i; | |
| assert( p->iGet<p->nSample ); | |
| switch( eCall ){ | |
| case STAT_GET_NEQ: aCnt = p->a[p->iGet].anEq; break; | |
| case STAT_GET_NLT: aCnt = p->a[p->iGet].anLt; break; | |
| default: { | |
| aCnt = p->a[p->iGet].anDLt; | |
| p->iGet++; | |
| break; | |
| } | |
| } | |
| sqlite3StrAccumInit(&sStat, 0, 0, 0, p->nCol*100); | |
| for(i=0; i<p->nCol; i++){ | |
| sqlite3_str_appendf(&sStat, "%llu ", (u64)aCnt[i]); | |
| } | |
| if( sStat.nChar ) sStat.nChar--; | |
| sqlite3ResultStrAccum(context, &sStat); | |
| } | |
| UNUSED_PARAMETER( argc ); | |
| } | |
| static const FuncDef statGetFuncdef = { | |
| 1+IsStat4, /* nArg */ | |
| SQLITE_UTF8, /* funcFlags */ | |
| 0, /* pUserData */ | |
| 0, /* pNext */ | |
| statGet, /* xSFunc */ | |
| 0, /* xFinalize */ | |
| 0, 0, /* xValue, xInverse */ | |
| "stat_get", /* zName */ | |
| {0} | |
| }; | |
| static void callStatGet(Parse *pParse, int regStat, int iParam, int regOut){ | |
| sqlite3VdbeAddOp2(pParse->pVdbe, OP_Integer, iParam, regStat+1); | |
| assert( iParam==STAT_GET_STAT1 ); | |
| UNUSED_PARAMETER( iParam ); | |
| assert( regOut!=regStat && regOut!=regStat+1 ); | |
| sqlite3VdbeAddFunctionCall(pParse, 0, regStat, regOut, 1+IsStat4, | |
| &statGetFuncdef, 0); | |
| } | |
| /* Add a comment to the most recent VDBE opcode that is the name | |
| ** of the k-th column of the pIdx index. | |
| */ | |
| static void analyzeVdbeCommentIndexWithColumnName( | |
| Vdbe *v, /* Prepared statement under construction */ | |
| Index *pIdx, /* Index whose column is being loaded */ | |
| int k /* Which column index */ | |
| ){ | |
| int i; /* Index of column in the table */ | |
| assert( k>=0 && k<pIdx->nColumn ); | |
| i = pIdx->aiColumn[k]; | |
| if( NEVER(i==XN_ROWID) ){ | |
| VdbeComment((v,"%s.rowid",pIdx->zName)); | |
| }else if( i==XN_EXPR ){ | |
| assert( pIdx->bHasExpr ); | |
| VdbeComment((v,"%s.expr(%d)",pIdx->zName, k)); | |
| }else{ | |
| VdbeComment((v,"%s.%s", pIdx->zName, pIdx->pTable->aCol[i].zCnName)); | |
| } | |
| } | |
| /* | |
| ** Generate code to do an analysis of all indices associated with | |
| ** a single table. | |
| */ | |
| static void analyzeOneTable( | |
| Parse *pParse, /* Parser context */ | |
| Table *pTab, /* Table whose indices are to be analyzed */ | |
| Index *pOnlyIdx, /* If not NULL, only analyze this one index */ | |
| int iStatCur, /* Index of VdbeCursor that writes the sqlite_stat1 table */ | |
| int iMem, /* Available memory locations begin here */ | |
| int iTab /* Next available cursor */ | |
| ){ | |
| sqlite3 *db = pParse->db; /* Database handle */ | |
| Index *pIdx; /* An index to being analyzed */ | |
| int iIdxCur; /* Cursor open on index being analyzed */ | |
| int iTabCur; /* Table cursor */ | |
| Vdbe *v; /* The virtual machine being built up */ | |
| int i; /* Loop counter */ | |
| int jZeroRows = -1; /* Jump from here if number of rows is zero */ | |
| int iDb; /* Index of database containing pTab */ | |
| u8 needTableCnt = 1; /* True to count the table */ | |
| int regNewRowid = iMem++; /* Rowid for the inserted record */ | |
| int regStat = iMem++; /* Register to hold StatAccum object */ | |
| int regChng = iMem++; /* Index of changed index field */ | |
| int regRowid = iMem++; /* Rowid argument passed to stat_push() */ | |
| int regTemp = iMem++; /* Temporary use register */ | |
| int regTemp2 = iMem++; /* Second temporary use register */ | |
| int regTabname = iMem++; /* Register containing table name */ | |
| int regIdxname = iMem++; /* Register containing index name */ | |
| int regStat1 = iMem++; /* Value for the stat column of sqlite_stat1 */ | |
| int regPrev = iMem; /* MUST BE LAST (see below) */ | |
| int doOnce = 1; /* Flag for a one-time computation */ | |
| Table *pStat1 = 0; | |
| sqlite3TouchRegister(pParse, iMem); | |
| assert( sqlite3NoTempsInRange(pParse, regNewRowid, iMem) ); | |
| v = sqlite3GetVdbe(pParse); | |
| if( v==0 || NEVER(pTab==0) ){ | |
| return; | |
| } | |
| if( !IsOrdinaryTable(pTab) ){ | |
| /* Do not gather statistics on views or virtual tables */ | |
| return; | |
| } | |
| if( sqlite3_strlike("sqlite\\_%", pTab->zName, '\\')==0 ){ | |
| /* Do not gather statistics on system tables */ | |
| return; | |
| } | |
| assert( sqlite3BtreeHoldsAllMutexes(db) ); | |
| iDb = sqlite3SchemaToIndex(db, pTab->pSchema); | |
| assert( iDb>=0 ); | |
| assert( sqlite3SchemaMutexHeld(db, iDb, 0) ); | |
| if( sqlite3AuthCheck(pParse, SQLITE_ANALYZE, pTab->zName, 0, | |
| db->aDb[iDb].zDbSName ) ){ | |
| return; | |
| } | |
| if( db->xPreUpdateCallback ){ | |
| pStat1 = (Table*)sqlite3DbMallocZero(db, sizeof(Table) + 13); | |
| if( pStat1==0 ) return; | |
| pStat1->zName = (char*)&pStat1[1]; | |
| memcpy(pStat1->zName, "sqlite_stat1", 13); | |
| pStat1->nCol = 3; | |
| pStat1->iPKey = -1; | |
| sqlite3VdbeAddOp4(pParse->pVdbe, OP_Noop, 0, 0, 0,(char*)pStat1,P4_DYNAMIC); | |
| } | |
| /* Establish a read-lock on the table at the shared-cache level. | |
| ** Open a read-only cursor on the table. Also allocate a cursor number | |
| ** to use for scanning indexes (iIdxCur). No index cursor is opened at | |
| ** this time though. */ | |
| sqlite3TableLock(pParse, iDb, pTab->tnum, 0, pTab->zName); | |
| iTabCur = iTab++; | |
| iIdxCur = iTab++; | |
| pParse->nTab = MAX(pParse->nTab, iTab); | |
| sqlite3OpenTable(pParse, iTabCur, iDb, pTab, OP_OpenRead); | |
| sqlite3VdbeLoadString(v, regTabname, pTab->zName); | |
| for(pIdx=pTab->pIndex; pIdx; pIdx=pIdx->pNext){ | |
| int nCol; /* Number of columns in pIdx. "N" */ | |
| int addrGotoEnd; /* Address of "OP_Rewind iIdxCur" */ | |
| int addrNextRow; /* Address of "next_row:" */ | |
| const char *zIdxName; /* Name of the index */ | |
| int nColTest; /* Number of columns to test for changes */ | |
| if( pOnlyIdx && pOnlyIdx!=pIdx ) continue; | |
| if( pIdx->pPartIdxWhere==0 ) needTableCnt = 0; | |
| if( !HasRowid(pTab) && IsPrimaryKeyIndex(pIdx) ){ | |
| nCol = pIdx->nKeyCol; | |
| zIdxName = pTab->zName; | |
| nColTest = nCol - 1; | |
| }else{ | |
| nCol = pIdx->nColumn; | |
| zIdxName = pIdx->zName; | |
| nColTest = pIdx->uniqNotNull ? pIdx->nKeyCol-1 : nCol-1; | |
| } | |
| /* Populate the register containing the index name. */ | |
| sqlite3VdbeLoadString(v, regIdxname, zIdxName); | |
| VdbeComment((v, "Analysis for %s.%s", pTab->zName, zIdxName)); | |
| /* | |
| ** Pseudo-code for loop that calls stat_push(): | |
| ** | |
| ** regChng = 0 | |
| ** Rewind csr | |
| ** if eof(csr){ | |
| ** stat_init() with count = 0; | |
| ** goto end_of_scan; | |
| ** } | |
| ** count() | |
| ** stat_init() | |
| ** goto chng_addr_0; | |
| ** | |
| ** next_row: | |
| ** regChng = 0 | |
| ** if( idx(0) != regPrev(0) ) goto chng_addr_0 | |
| ** regChng = 1 | |
| ** if( idx(1) != regPrev(1) ) goto chng_addr_1 | |
| ** ... | |
| ** regChng = N | |
| ** goto chng_addr_N | |
| ** | |
| ** chng_addr_0: | |
| ** regPrev(0) = idx(0) | |
| ** chng_addr_1: | |
| ** regPrev(1) = idx(1) | |
| ** ... | |
| ** | |
| ** endDistinctTest: | |
| ** regRowid = idx(rowid) | |
| ** stat_push(P, regChng, regRowid) | |
| ** Next csr | |
| ** if !eof(csr) goto next_row; | |
| ** | |
| ** end_of_scan: | |
| */ | |
| /* Make sure there are enough memory cells allocated to accommodate | |
| ** the regPrev array and a trailing rowid (the rowid slot is required | |
| ** when building a record to insert into the sample column of | |
| ** the sqlite_stat4 table. */ | |
| sqlite3TouchRegister(pParse, regPrev+nColTest); | |
| /* Open a read-only cursor on the index being analyzed. */ | |
| assert( iDb==sqlite3SchemaToIndex(db, pIdx->pSchema) ); | |
| sqlite3VdbeAddOp3(v, OP_OpenRead, iIdxCur, pIdx->tnum, iDb); | |
| sqlite3VdbeSetP4KeyInfo(pParse, pIdx); | |
| VdbeComment((v, "%s", pIdx->zName)); | |
| /* Implementation of the following: | |
| ** | |
| ** regChng = 0 | |
| ** Rewind csr | |
| ** if eof(csr){ | |
| ** stat_init() with count = 0; | |
| ** goto end_of_scan; | |
| ** } | |
| ** count() | |
| ** stat_init() | |
| ** goto chng_addr_0; | |
| */ | |
| assert( regTemp2==regStat+4 ); | |
| sqlite3VdbeAddOp2(v, OP_Integer, db->nAnalysisLimit, regTemp2); | |
| /* Arguments to stat_init(): | |
| ** (1) the number of columns in the index including the rowid | |
| ** (or for a WITHOUT ROWID table, the number of PK columns), | |
| ** (2) the number of columns in the key without the rowid/pk | |
| ** (3) estimated number of rows in the index. */ | |
| sqlite3VdbeAddOp2(v, OP_Integer, nCol, regStat+1); | |
| assert( regRowid==regStat+2 ); | |
| sqlite3VdbeAddOp2(v, OP_Integer, pIdx->nKeyCol, regRowid); | |
| sqlite3VdbeAddOp3(v, OP_Count, iIdxCur, regTemp, | |
| OptimizationDisabled(db, SQLITE_Stat4)); | |
| sqlite3VdbeAddFunctionCall(pParse, 0, regStat+1, regStat, 4, | |
| &statInitFuncdef, 0); | |
| addrGotoEnd = sqlite3VdbeAddOp1(v, OP_Rewind, iIdxCur); | |
| VdbeCoverage(v); | |
| sqlite3VdbeAddOp2(v, OP_Integer, 0, regChng); | |
| addrNextRow = sqlite3VdbeCurrentAddr(v); | |
| if( nColTest>0 ){ | |
| int endDistinctTest = sqlite3VdbeMakeLabel(pParse); | |
| int *aGotoChng; /* Array of jump instruction addresses */ | |
| aGotoChng = sqlite3DbMallocRawNN(db, sizeof(int)*nColTest); | |
| if( aGotoChng==0 ) continue; | |
| /* | |
| ** next_row: | |
| ** regChng = 0 | |
| ** if( idx(0) != regPrev(0) ) goto chng_addr_0 | |
| ** regChng = 1 | |
| ** if( idx(1) != regPrev(1) ) goto chng_addr_1 | |
| ** ... | |
| ** regChng = N | |
| ** goto endDistinctTest | |
| */ | |
| sqlite3VdbeAddOp0(v, OP_Goto); | |
| addrNextRow = sqlite3VdbeCurrentAddr(v); | |
| if( nColTest==1 && pIdx->nKeyCol==1 && IsUniqueIndex(pIdx) ){ | |
| /* For a single-column UNIQUE index, once we have found a non-NULL | |
| ** row, we know that all the rest will be distinct, so skip | |
| ** subsequent distinctness tests. */ | |
| sqlite3VdbeAddOp2(v, OP_NotNull, regPrev, endDistinctTest); | |
| VdbeCoverage(v); | |
| } | |
| for(i=0; i<nColTest; i++){ | |
| char *pColl = (char*)sqlite3LocateCollSeq(pParse, pIdx->azColl[i]); | |
| sqlite3VdbeAddOp2(v, OP_Integer, i, regChng); | |
| sqlite3VdbeAddOp3(v, OP_Column, iIdxCur, i, regTemp); | |
| analyzeVdbeCommentIndexWithColumnName(v,pIdx,i); | |
| aGotoChng[i] = | |
| sqlite3VdbeAddOp4(v, OP_Ne, regTemp, 0, regPrev+i, pColl, P4_COLLSEQ); | |
| sqlite3VdbeChangeP5(v, SQLITE_NULLEQ); | |
| VdbeCoverage(v); | |
| } | |
| sqlite3VdbeAddOp2(v, OP_Integer, nColTest, regChng); | |
| sqlite3VdbeGoto(v, endDistinctTest); | |
| /* | |
| ** chng_addr_0: | |
| ** regPrev(0) = idx(0) | |
| ** chng_addr_1: | |
| ** regPrev(1) = idx(1) | |
| ** ... | |
| */ | |
| sqlite3VdbeJumpHere(v, addrNextRow-1); | |
| for(i=0; i<nColTest; i++){ | |
| sqlite3VdbeJumpHere(v, aGotoChng[i]); | |
| sqlite3VdbeAddOp3(v, OP_Column, iIdxCur, i, regPrev+i); | |
| analyzeVdbeCommentIndexWithColumnName(v,pIdx,i); | |
| } | |
| sqlite3VdbeResolveLabel(v, endDistinctTest); | |
| sqlite3DbFree(db, aGotoChng); | |
| } | |
| /* | |
| ** chng_addr_N: | |
| ** regRowid = idx(rowid) // STAT4 only | |
| ** stat_push(P, regChng, regRowid) // 3rd parameter STAT4 only | |
| ** Next csr | |
| ** if !eof(csr) goto next_row; | |
| */ | |
| if( OptimizationEnabled(db, SQLITE_Stat4) ){ | |
| assert( regRowid==(regStat+2) ); | |
| if( HasRowid(pTab) ){ | |
| sqlite3VdbeAddOp2(v, OP_IdxRowid, iIdxCur, regRowid); | |
| }else{ | |
| Index *pPk = sqlite3PrimaryKeyIndex(pIdx->pTable); | |
| int j, k, regKey; | |
| regKey = sqlite3GetTempRange(pParse, pPk->nKeyCol); | |
| for(j=0; j<pPk->nKeyCol; j++){ | |
| k = sqlite3TableColumnToIndex(pIdx, pPk->aiColumn[j]); | |
| assert( k>=0 && k<pIdx->nColumn ); | |
| sqlite3VdbeAddOp3(v, OP_Column, iIdxCur, k, regKey+j); | |
| analyzeVdbeCommentIndexWithColumnName(v,pIdx,k); | |
| } | |
| sqlite3VdbeAddOp3(v, OP_MakeRecord, regKey, pPk->nKeyCol, regRowid); | |
| sqlite3ReleaseTempRange(pParse, regKey, pPk->nKeyCol); | |
| } | |
| } | |
| assert( regChng==(regStat+1) ); | |
| { | |
| sqlite3VdbeAddFunctionCall(pParse, 1, regStat, regTemp, 2+IsStat4, | |
| &statPushFuncdef, 0); | |
| if( db->nAnalysisLimit ){ | |
| int j1, j2, j3; | |
| j1 = sqlite3VdbeAddOp1(v, OP_IsNull, regTemp); VdbeCoverage(v); | |
| j2 = sqlite3VdbeAddOp1(v, OP_If, regTemp); VdbeCoverage(v); | |
| j3 = sqlite3VdbeAddOp4Int(v, OP_SeekGT, iIdxCur, 0, regPrev, 1); | |
| VdbeCoverage(v); | |
| sqlite3VdbeJumpHere(v, j1); | |
| sqlite3VdbeAddOp2(v, OP_Next, iIdxCur, addrNextRow); VdbeCoverage(v); | |
| sqlite3VdbeJumpHere(v, j2); | |
| sqlite3VdbeJumpHere(v, j3); | |
| }else{ | |
| sqlite3VdbeAddOp2(v, OP_Next, iIdxCur, addrNextRow); VdbeCoverage(v); | |
| } | |
| } | |
| /* Add the entry to the stat1 table. */ | |
| if( pIdx->pPartIdxWhere ){ | |
| /* Partial indexes might get a zero-entry in sqlite_stat1. But | |
| ** an empty table is omitted from sqlite_stat1. */ | |
| sqlite3VdbeJumpHere(v, addrGotoEnd); | |
| addrGotoEnd = 0; | |
| } | |
| callStatGet(pParse, regStat, STAT_GET_STAT1, regStat1); | |
| assert( "BBB"[0]==SQLITE_AFF_TEXT ); | |
| sqlite3VdbeAddOp4(v, OP_MakeRecord, regTabname, 3, regTemp, "BBB", 0); | |
| sqlite3VdbeAddOp2(v, OP_NewRowid, iStatCur, regNewRowid); | |
| sqlite3VdbeAddOp3(v, OP_Insert, iStatCur, regTemp, regNewRowid); | |
| sqlite3VdbeChangeP4(v, -1, (char*)pStat1, P4_TABLE); | |
| sqlite3VdbeChangeP5(v, OPFLAG_APPEND); | |
| /* Add the entries to the stat4 table. */ | |
| if( OptimizationEnabled(db, SQLITE_Stat4) && db->nAnalysisLimit==0 ){ | |
| int regEq = regStat1; | |
| int regLt = regStat1+1; | |
| int regDLt = regStat1+2; | |
| int regSample = regStat1+3; | |
| int regCol = regStat1+4; | |
| int regSampleRowid = regCol + nCol; | |
| int addrNext; | |
| int addrIsNull; | |
| u8 seekOp = HasRowid(pTab) ? OP_NotExists : OP_NotFound; | |
| /* No STAT4 data is generated if the number of rows is zero */ | |
| if( addrGotoEnd==0 ){ | |
| sqlite3VdbeAddOp2(v, OP_Cast, regStat1, SQLITE_AFF_INTEGER); | |
| addrGotoEnd = sqlite3VdbeAddOp1(v, OP_IfNot, regStat1); | |
| VdbeCoverage(v); | |
| } | |
| if( doOnce ){ | |
| int mxCol = nCol; | |
| Index *pX; | |
| /* Compute the maximum number of columns in any index */ | |
| for(pX=pTab->pIndex; pX; pX=pX->pNext){ | |
| int nColX; /* Number of columns in pX */ | |
| if( !HasRowid(pTab) && IsPrimaryKeyIndex(pX) ){ | |
| nColX = pX->nKeyCol; | |
| }else{ | |
| nColX = pX->nColumn; | |
| } | |
| if( nColX>mxCol ) mxCol = nColX; | |
| } | |
| /* Allocate space to compute results for the largest index */ | |
| sqlite3TouchRegister(pParse, regCol+mxCol); | |
| doOnce = 0; | |
| /* Verify that the call to sqlite3ClearTempRegCache() below | |
| ** really is needed. | |
| ** https://sqlite.org/forum/forumpost/83cb4a95a0 (2023-03-25) | |
| */ | |
| testcase( !sqlite3NoTempsInRange(pParse, regEq, regCol+mxCol) ); | |
| sqlite3ClearTempRegCache(pParse); /* tag-20230325-1 */ | |
| assert( sqlite3NoTempsInRange(pParse, regEq, regCol+mxCol) ); | |
| } | |
| assert( sqlite3NoTempsInRange(pParse, regEq, regCol+nCol) ); | |
| addrNext = sqlite3VdbeCurrentAddr(v); | |
| callStatGet(pParse, regStat, STAT_GET_ROWID, regSampleRowid); | |
| addrIsNull = sqlite3VdbeAddOp1(v, OP_IsNull, regSampleRowid); | |
| VdbeCoverage(v); | |
| callStatGet(pParse, regStat, STAT_GET_NEQ, regEq); | |
| callStatGet(pParse, regStat, STAT_GET_NLT, regLt); | |
| callStatGet(pParse, regStat, STAT_GET_NDLT, regDLt); | |
| sqlite3VdbeAddOp4Int(v, seekOp, iTabCur, addrNext, regSampleRowid, 0); | |
| VdbeCoverage(v); | |
| for(i=0; i<nCol; i++){ | |
| sqlite3ExprCodeLoadIndexColumn(pParse, pIdx, iTabCur, i, regCol+i); | |
| } | |
| sqlite3VdbeAddOp3(v, OP_MakeRecord, regCol, nCol, regSample); | |
| sqlite3VdbeAddOp3(v, OP_MakeRecord, regTabname, 6, regTemp); | |
| sqlite3VdbeAddOp2(v, OP_NewRowid, iStatCur+1, regNewRowid); | |
| sqlite3VdbeAddOp3(v, OP_Insert, iStatCur+1, regTemp, regNewRowid); | |
| sqlite3VdbeAddOp2(v, OP_Goto, 1, addrNext); /* P1==1 for end-of-loop */ | |
| sqlite3VdbeJumpHere(v, addrIsNull); | |
| } | |
| /* End of analysis */ | |
| if( addrGotoEnd ) sqlite3VdbeJumpHere(v, addrGotoEnd); | |
| } | |
| /* Create a single sqlite_stat1 entry containing NULL as the index | |
| ** name and the row count as the content. | |
| */ | |
| if( pOnlyIdx==0 && needTableCnt ){ | |
| VdbeComment((v, "%s", pTab->zName)); | |
| sqlite3VdbeAddOp2(v, OP_Count, iTabCur, regStat1); | |
| jZeroRows = sqlite3VdbeAddOp1(v, OP_IfNot, regStat1); VdbeCoverage(v); | |
| sqlite3VdbeAddOp2(v, OP_Null, 0, regIdxname); | |
| assert( "BBB"[0]==SQLITE_AFF_TEXT ); | |
| sqlite3VdbeAddOp4(v, OP_MakeRecord, regTabname, 3, regTemp, "BBB", 0); | |
| sqlite3VdbeAddOp2(v, OP_NewRowid, iStatCur, regNewRowid); | |
| sqlite3VdbeAddOp3(v, OP_Insert, iStatCur, regTemp, regNewRowid); | |
| sqlite3VdbeChangeP5(v, OPFLAG_APPEND); | |
| sqlite3VdbeChangeP4(v, -1, (char*)pStat1, P4_TABLE); | |
| sqlite3VdbeJumpHere(v, jZeroRows); | |
| } | |
| } | |
| /* | |
| ** Generate code that will cause the most recent index analysis to | |
| ** be loaded into internal hash tables where is can be used. | |
| */ | |
| static void loadAnalysis(Parse *pParse, int iDb){ | |
| Vdbe *v = sqlite3GetVdbe(pParse); | |
| if( v ){ | |
| sqlite3VdbeAddOp1(v, OP_LoadAnalysis, iDb); | |
| } | |
| } | |
| /* | |
| ** Generate code that will do an analysis of an entire database | |
| */ | |
| static void analyzeDatabase(Parse *pParse, int iDb){ | |
| sqlite3 *db = pParse->db; | |
| Schema *pSchema = db->aDb[iDb].pSchema; /* Schema of database iDb */ | |
| HashElem *k; | |
| int iStatCur; | |
| int iMem; | |
| int iTab; | |
| sqlite3BeginWriteOperation(pParse, 0, iDb); | |
| iStatCur = pParse->nTab; | |
| pParse->nTab += 3; | |
| openStatTable(pParse, iDb, iStatCur, 0, 0); | |
| iMem = pParse->nMem+1; | |
| iTab = pParse->nTab; | |
| assert( sqlite3SchemaMutexHeld(db, iDb, 0) ); | |
| for(k=sqliteHashFirst(&pSchema->tblHash); k; k=sqliteHashNext(k)){ | |
| Table *pTab = (Table*)sqliteHashData(k); | |
| analyzeOneTable(pParse, pTab, 0, iStatCur, iMem, iTab); | |
| iMem = sqlite3FirstAvailableRegister(pParse, iMem); | |
| assert( iMem==sqlite3FirstAvailableRegister(pParse,iMem) ); | |
| } | |
| loadAnalysis(pParse, iDb); | |
| } | |
| /* | |
| ** Generate code that will do an analysis of a single table in | |
| ** a database. If pOnlyIdx is not NULL then it is a single index | |
| ** in pTab that should be analyzed. | |
| */ | |
| static void analyzeTable(Parse *pParse, Table *pTab, Index *pOnlyIdx){ | |
| int iDb; | |
| int iStatCur; | |
| assert( pTab!=0 ); | |
| assert( sqlite3BtreeHoldsAllMutexes(pParse->db) ); | |
| iDb = sqlite3SchemaToIndex(pParse->db, pTab->pSchema); | |
| sqlite3BeginWriteOperation(pParse, 0, iDb); | |
| iStatCur = pParse->nTab; | |
| pParse->nTab += 3; | |
| if( pOnlyIdx ){ | |
| openStatTable(pParse, iDb, iStatCur, pOnlyIdx->zName, "idx"); | |
| }else{ | |
| openStatTable(pParse, iDb, iStatCur, pTab->zName, "tbl"); | |
| } | |
| analyzeOneTable(pParse, pTab, pOnlyIdx, iStatCur,pParse->nMem+1,pParse->nTab); | |
| loadAnalysis(pParse, iDb); | |
| } | |
| /* | |
| ** Generate code for the ANALYZE command. The parser calls this routine | |
| ** when it recognizes an ANALYZE command. | |
| ** | |
| ** ANALYZE -- 1 | |
| ** ANALYZE <database> -- 2 | |
| ** ANALYZE ?<database>.?<tablename> -- 3 | |
| ** | |
| ** Form 1 causes all indices in all attached databases to be analyzed. | |
| ** Form 2 analyzes all indices the single database named. | |
| ** Form 3 analyzes all indices associated with the named table. | |
| */ | |
| void sqlite3Analyze(Parse *pParse, Token *pName1, Token *pName2){ | |
| sqlite3 *db = pParse->db; | |
| int iDb; | |
| int i; | |
| char *z, *zDb; | |
| Table *pTab; | |
| Index *pIdx; | |
| Token *pTableName; | |
| Vdbe *v; | |
| /* Read the database schema. If an error occurs, leave an error message | |
| ** and code in pParse and return NULL. */ | |
| assert( sqlite3BtreeHoldsAllMutexes(pParse->db) ); | |
| if( SQLITE_OK!=sqlite3ReadSchema(pParse) ){ | |
| return; | |
| } | |
| assert( pName2!=0 || pName1==0 ); | |
| if( pName1==0 ){ | |
| /* Form 1: Analyze everything */ | |
| for(i=0; i<db->nDb; i++){ | |
| if( i==1 ) continue; /* Do not analyze the TEMP database */ | |
| analyzeDatabase(pParse, i); | |
| } | |
| }else if( pName2->n==0 && (iDb = sqlite3FindDb(db, pName1))>=0 ){ | |
| /* Analyze the schema named as the argument */ | |
| analyzeDatabase(pParse, iDb); | |
| }else{ | |
| /* Form 3: Analyze the table or index named as an argument */ | |
| iDb = sqlite3TwoPartName(pParse, pName1, pName2, &pTableName); | |
| if( iDb>=0 ){ | |
| zDb = pName2->n ? db->aDb[iDb].zDbSName : 0; | |
| z = sqlite3NameFromToken(db, pTableName); | |
| if( z ){ | |
| if( (pIdx = sqlite3FindIndex(db, z, zDb))!=0 ){ | |
| analyzeTable(pParse, pIdx->pTable, pIdx); | |
| }else if( (pTab = sqlite3LocateTable(pParse, 0, z, zDb))!=0 ){ | |
| analyzeTable(pParse, pTab, 0); | |
| } | |
| sqlite3DbFree(db, z); | |
| } | |
| } | |
| } | |
| if( db->nSqlExec==0 && (v = sqlite3GetVdbe(pParse))!=0 ){ | |
| sqlite3VdbeAddOp0(v, OP_Expire); | |
| } | |
| } | |
| /* | |
| ** Used to pass information from the analyzer reader through to the | |
| ** callback routine. | |
| */ | |
| typedef struct analysisInfo analysisInfo; | |
| struct analysisInfo { | |
| sqlite3 *db; | |
| const char *zDatabase; | |
| }; | |
| /* | |
| ** The first argument points to a nul-terminated string containing a | |
| ** list of space separated integers. Read the first nOut of these into | |
| ** the array aOut[]. | |
| */ | |
| static void decodeIntArray( | |
| char *zIntArray, /* String containing int array to decode */ | |
| int nOut, /* Number of slots in aOut[] */ | |
| tRowcnt *aOut, /* Store integers here */ | |
| LogEst *aLog, /* Or, if aOut==0, here */ | |
| Index *pIndex /* Handle extra flags for this index, if not NULL */ | |
| ){ | |
| char *z = zIntArray; | |
| int c; | |
| int i; | |
| tRowcnt v; | |
| if( z==0 ) z = ""; | |
| assert( z!=0 ); | |
| for(i=0; *z && i<nOut; i++){ | |
| v = 0; | |
| while( (c=z[0])>='0' && c<='9' ){ | |
| v = v*10 + c - '0'; | |
| z++; | |
| } | |
| if( aOut ) aOut[i] = v; | |
| if( aLog ) aLog[i] = sqlite3LogEst(v); | |
| assert( aOut==0 ); | |
| UNUSED_PARAMETER(aOut); | |
| assert( aLog!=0 ); | |
| aLog[i] = sqlite3LogEst(v); | |
| if( *z==' ' ) z++; | |
| } | |
| assert( pIndex!=0 ); { | |
| if( pIndex ){ | |
| pIndex->bUnordered = 0; | |
| pIndex->noSkipScan = 0; | |
| while( z[0] ){ | |
| if( sqlite3_strglob("unordered*", z)==0 ){ | |
| pIndex->bUnordered = 1; | |
| }else if( sqlite3_strglob("sz=[0-9]*", z)==0 ){ | |
| int sz = sqlite3Atoi(z+3); | |
| if( sz<2 ) sz = 2; | |
| pIndex->szIdxRow = sqlite3LogEst(sz); | |
| }else if( sqlite3_strglob("noskipscan*", z)==0 ){ | |
| pIndex->noSkipScan = 1; | |
| } | |
| else if( sqlite3_strglob("costmult=[0-9]*",z)==0 ){ | |
| pIndex->pTable->costMult = sqlite3LogEst(sqlite3Atoi(z+9)); | |
| } | |
| while( z[0]!=0 && z[0]!=' ' ) z++; | |
| while( z[0]==' ' ) z++; | |
| } | |
| } | |
| } | |
| /* | |
| ** This callback is invoked once for each index when reading the | |
| ** sqlite_stat1 table. | |
| ** | |
| ** argv[0] = name of the table | |
| ** argv[1] = name of the index (might be NULL) | |
| ** argv[2] = results of analysis - on integer for each column | |
| ** | |
| ** Entries for which argv[1]==NULL simply record the number of rows in | |
| ** the table. | |
| */ | |
| static int analysisLoader(void *pData, int argc, char **argv, char **NotUsed){ | |
| analysisInfo *pInfo = (analysisInfo*)pData; | |
| Index *pIndex; | |
| Table *pTable; | |
| const char *z; | |
| assert( argc==3 ); | |
| UNUSED_PARAMETER2(NotUsed, argc); | |
| if( argv==0 || argv[0]==0 || argv[2]==0 ){ | |
| return 0; | |
| } | |
| pTable = sqlite3FindTable(pInfo->db, argv[0], pInfo->zDatabase); | |
| if( pTable==0 ){ | |
| return 0; | |
| } | |
| if( argv[1]==0 ){ | |
| pIndex = 0; | |
| }else if( sqlite3_stricmp(argv[0],argv[1])==0 ){ | |
| pIndex = sqlite3PrimaryKeyIndex(pTable); | |
| }else{ | |
| pIndex = sqlite3FindIndex(pInfo->db, argv[1], pInfo->zDatabase); | |
| } | |
| z = argv[2]; | |
| if( pIndex ){ | |
| tRowcnt *aiRowEst = 0; | |
| int nCol = pIndex->nKeyCol+1; | |
| /* Index.aiRowEst may already be set here if there are duplicate | |
| ** sqlite_stat1 entries for this index. In that case just clobber | |
| ** the old data with the new instead of allocating a new array. */ | |
| if( pIndex->aiRowEst==0 ){ | |
| pIndex->aiRowEst = (tRowcnt*)sqlite3MallocZero(sizeof(tRowcnt) * nCol); | |
| if( pIndex->aiRowEst==0 ) sqlite3OomFault(pInfo->db); | |
| } | |
| aiRowEst = pIndex->aiRowEst; | |
| pIndex->bUnordered = 0; | |
| decodeIntArray((char*)z, nCol, aiRowEst, pIndex->aiRowLogEst, pIndex); | |
| pIndex->hasStat1 = 1; | |
| if( pIndex->pPartIdxWhere==0 ){ | |
| pTable->nRowLogEst = pIndex->aiRowLogEst[0]; | |
| pTable->tabFlags |= TF_HasStat1; | |
| } | |
| }else{ | |
| Index fakeIdx; | |
| fakeIdx.szIdxRow = pTable->szTabRow; | |
| fakeIdx.pTable = pTable; | |
| decodeIntArray((char*)z, 1, 0, &pTable->nRowLogEst, &fakeIdx); | |
| pTable->szTabRow = fakeIdx.szIdxRow; | |
| pTable->tabFlags |= TF_HasStat1; | |
| } | |
| return 0; | |
| } | |
| /* | |
| ** If the Index.aSample variable is not NULL, delete the aSample[] array | |
| ** and its contents. | |
| */ | |
| void sqlite3DeleteIndexSamples(sqlite3 *db, Index *pIdx){ | |
| assert( db!=0 ); | |
| assert( pIdx!=0 ); | |
| if( pIdx->aSample ){ | |
| int j; | |
| for(j=0; j<pIdx->nSample; j++){ | |
| IndexSample *p = &pIdx->aSample[j]; | |
| sqlite3DbFree(db, p->p); | |
| } | |
| sqlite3DbFree(db, pIdx->aSample); | |
| } | |
| if( db->pnBytesFreed==0 ){ | |
| pIdx->nSample = 0; | |
| pIdx->aSample = 0; | |
| } | |
| UNUSED_PARAMETER(db); | |
| UNUSED_PARAMETER(pIdx); | |
| } | |
| /* | |
| ** Populate the pIdx->aAvgEq[] array based on the samples currently | |
| ** stored in pIdx->aSample[]. | |
| */ | |
| static void initAvgEq(Index *pIdx){ | |
| if( pIdx ){ | |
| IndexSample *aSample = pIdx->aSample; | |
| IndexSample *pFinal = &aSample[pIdx->nSample-1]; | |
| int iCol; | |
| int nCol = 1; | |
| if( pIdx->nSampleCol>1 ){ | |
| /* If this is stat4 data, then calculate aAvgEq[] values for all | |
| ** sample columns except the last. The last is always set to 1, as | |
| ** once the trailing PK fields are considered all index keys are | |
| ** unique. */ | |
| nCol = pIdx->nSampleCol-1; | |
| pIdx->aAvgEq[nCol] = 1; | |
| } | |
| for(iCol=0; iCol<nCol; iCol++){ | |
| int nSample = pIdx->nSample; | |
| int i; /* Used to iterate through samples */ | |
| tRowcnt sumEq = 0; /* Sum of the nEq values */ | |
| tRowcnt avgEq = 0; | |
| tRowcnt nRow; /* Number of rows in index */ | |
| i64 nSum100 = 0; /* Number of terms contributing to sumEq */ | |
| i64 nDist100; /* Number of distinct values in index */ | |
| if( !pIdx->aiRowEst || iCol>=pIdx->nKeyCol || pIdx->aiRowEst[iCol+1]==0 ){ | |
| nRow = pFinal->anLt[iCol]; | |
| nDist100 = (i64)100 * pFinal->anDLt[iCol]; | |
| nSample--; | |
| }else{ | |
| nRow = pIdx->aiRowEst[0]; | |
| nDist100 = ((i64)100 * pIdx->aiRowEst[0]) / pIdx->aiRowEst[iCol+1]; | |
| } | |
| pIdx->nRowEst0 = nRow; | |
| /* Set nSum to the number of distinct (iCol+1) field prefixes that | |
| ** occur in the stat4 table for this index. Set sumEq to the sum of | |
| ** the nEq values for column iCol for the same set (adding the value | |
| ** only once where there exist duplicate prefixes). */ | |
| for(i=0; i<nSample; i++){ | |
| if( i==(pIdx->nSample-1) | |
| || aSample[i].anDLt[iCol]!=aSample[i+1].anDLt[iCol] | |
| ){ | |
| sumEq += aSample[i].anEq[iCol]; | |
| nSum100 += 100; | |
| } | |
| } | |
| if( nDist100>nSum100 && sumEq<nRow ){ | |
| avgEq = ((i64)100 * (nRow - sumEq))/(nDist100 - nSum100); | |
| } | |
| if( avgEq==0 ) avgEq = 1; | |
| pIdx->aAvgEq[iCol] = avgEq; | |
| } | |
| } | |
| } | |
| /* | |
| ** Look up an index by name. Or, if the name of a WITHOUT ROWID table | |
| ** is supplied instead, find the PRIMARY KEY index for that table. | |
| */ | |
| static Index *findIndexOrPrimaryKey( | |
| sqlite3 *db, | |
| const char *zName, | |
| const char *zDb | |
| ){ | |
| Index *pIdx = sqlite3FindIndex(db, zName, zDb); | |
| if( pIdx==0 ){ | |
| Table *pTab = sqlite3FindTable(db, zName, zDb); | |
| if( pTab && !HasRowid(pTab) ) pIdx = sqlite3PrimaryKeyIndex(pTab); | |
| } | |
| return pIdx; | |
| } | |
| /* | |
| ** Load the content from either the sqlite_stat4 | |
| ** into the relevant Index.aSample[] arrays. | |
| ** | |
| ** Arguments zSql1 and zSql2 must point to SQL statements that return | |
| ** data equivalent to the following: | |
| ** | |
| ** zSql1: SELECT idx,count(*) FROM %Q.sqlite_stat4 GROUP BY idx | |
| ** zSql2: SELECT idx,neq,nlt,ndlt,sample FROM %Q.sqlite_stat4 | |
| ** | |
| ** where %Q is replaced with the database name before the SQL is executed. | |
| */ | |
| static int loadStatTbl( | |
| sqlite3 *db, /* Database handle */ | |
| const char *zSql1, /* SQL statement 1 (see above) */ | |
| const char *zSql2, /* SQL statement 2 (see above) */ | |
| const char *zDb /* Database name (e.g. "main") */ | |
| ){ | |
| int rc; /* Result codes from subroutines */ | |
| sqlite3_stmt *pStmt = 0; /* An SQL statement being run */ | |
| char *zSql; /* Text of the SQL statement */ | |
| Index *pPrevIdx = 0; /* Previous index in the loop */ | |
| IndexSample *pSample; /* A slot in pIdx->aSample[] */ | |
| assert( db->lookaside.bDisable ); | |
| zSql = sqlite3MPrintf(db, zSql1, zDb); | |
| if( !zSql ){ | |
| return SQLITE_NOMEM_BKPT; | |
| } | |
| rc = sqlite3_prepare(db, zSql, -1, &pStmt, 0); | |
| sqlite3DbFree(db, zSql); | |
| if( rc ) return rc; | |
| while( sqlite3_step(pStmt)==SQLITE_ROW ){ | |
| int nIdxCol = 1; /* Number of columns in stat4 records */ | |
| char *zIndex; /* Index name */ | |
| Index *pIdx; /* Pointer to the index object */ | |
| int nSample; /* Number of samples */ | |
| i64 nByte; /* Bytes of space required */ | |
| i64 i; /* Bytes of space required */ | |
| tRowcnt *pSpace; /* Available allocated memory space */ | |
| u8 *pPtr; /* Available memory as a u8 for easier manipulation */ | |
| zIndex = (char *)sqlite3_column_text(pStmt, 0); | |
| if( zIndex==0 ) continue; | |
| nSample = sqlite3_column_int(pStmt, 1); | |
| pIdx = findIndexOrPrimaryKey(db, zIndex, zDb); | |
| assert( pIdx==0 || pIdx->nSample==0 ); | |
| if( pIdx==0 ) continue; | |
| if( pIdx->aSample!=0 ){ | |
| /* The same index appears in sqlite_stat4 under multiple names */ | |
| continue; | |
| } | |
| assert( !HasRowid(pIdx->pTable) || pIdx->nColumn==pIdx->nKeyCol+1 ); | |
| if( !HasRowid(pIdx->pTable) && IsPrimaryKeyIndex(pIdx) ){ | |
| nIdxCol = pIdx->nKeyCol; | |
| }else{ | |
| nIdxCol = pIdx->nColumn; | |
| } | |
| pIdx->nSampleCol = nIdxCol; | |
| pIdx->mxSample = nSample; | |
| nByte = ROUND8(sizeof(IndexSample) * nSample); | |
| nByte += sizeof(tRowcnt) * nIdxCol * 3 * nSample; | |
| nByte += nIdxCol * sizeof(tRowcnt); /* Space for Index.aAvgEq[] */ | |
| pIdx->aSample = sqlite3DbMallocZero(db, nByte); | |
| if( pIdx->aSample==0 ){ | |
| sqlite3_finalize(pStmt); | |
| return SQLITE_NOMEM_BKPT; | |
| } | |
| pPtr = (u8*)pIdx->aSample; | |
| pPtr += ROUND8(nSample*sizeof(pIdx->aSample[0])); | |
| pSpace = (tRowcnt*)pPtr; | |
| assert( EIGHT_BYTE_ALIGNMENT( pSpace ) ); | |
| 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; | |
| pIdx->aSample[i].anDLt = pSpace; pSpace += nIdxCol; | |
| } | |
| assert( ((u8*)pSpace)-nByte==(u8*)(pIdx->aSample) ); | |
| } | |
| rc = sqlite3_finalize(pStmt); | |
| if( rc ) return rc; | |
| zSql = sqlite3MPrintf(db, zSql2, zDb); | |
| if( !zSql ){ | |
| return SQLITE_NOMEM_BKPT; | |
| } | |
| rc = sqlite3_prepare(db, zSql, -1, &pStmt, 0); | |
| sqlite3DbFree(db, zSql); | |
| if( rc ) return rc; | |
| while( sqlite3_step(pStmt)==SQLITE_ROW ){ | |
| char *zIndex; /* Index name */ | |
| Index *pIdx; /* Pointer to the index object */ | |
| int nCol = 1; /* Number of columns in index */ | |
| zIndex = (char *)sqlite3_column_text(pStmt, 0); | |
| if( zIndex==0 ) continue; | |
| pIdx = findIndexOrPrimaryKey(db, zIndex, zDb); | |
| if( pIdx==0 ) continue; | |
| if( pIdx->nSample>=pIdx->mxSample ){ | |
| /* Too many slots used because the same index appears in | |
| ** sqlite_stat4 using multiple names */ | |
| continue; | |
| } | |
| /* This next condition is true if data has already been loaded from | |
| ** the sqlite_stat4 table. */ | |
| nCol = pIdx->nSampleCol; | |
| if( pIdx!=pPrevIdx ){ | |
| initAvgEq(pPrevIdx); | |
| pPrevIdx = pIdx; | |
| } | |
| pSample = &pIdx->aSample[pIdx->nSample]; | |
| decodeIntArray((char*)sqlite3_column_text(pStmt,1),nCol,pSample->anEq,0,0); | |
| decodeIntArray((char*)sqlite3_column_text(pStmt,2),nCol,pSample->anLt,0,0); | |
| decodeIntArray((char*)sqlite3_column_text(pStmt,3),nCol,pSample->anDLt,0,0); | |
| /* Take a copy of the sample. Add 8 extra 0x00 bytes the end of the buffer. | |
| ** This is in case the sample record is corrupted. In that case, the | |
| ** sqlite3VdbeRecordCompare() may read up to two varints past the | |
| ** end of the allocated buffer before it realizes it is dealing with | |
| ** a corrupt record. Or it might try to read a large integer from the | |
| ** buffer. In any case, eight 0x00 bytes prevents this from causing | |
| ** a buffer overread. */ | |
| pSample->n = sqlite3_column_bytes(pStmt, 4); | |
| pSample->p = sqlite3DbMallocZero(db, pSample->n + 8); | |
| if( pSample->p==0 ){ | |
| sqlite3_finalize(pStmt); | |
| return SQLITE_NOMEM_BKPT; | |
| } | |
| if( pSample->n ){ | |
| memcpy(pSample->p, sqlite3_column_blob(pStmt, 4), pSample->n); | |
| } | |
| pIdx->nSample++; | |
| } | |
| rc = sqlite3_finalize(pStmt); | |
| if( rc==SQLITE_OK ) initAvgEq(pPrevIdx); | |
| return rc; | |
| } | |
| /* | |
| ** Load content from the sqlite_stat4 table into | |
| ** the Index.aSample[] arrays of all indices. | |
| */ | |
| static int loadStat4(sqlite3 *db, const char *zDb){ | |
| int rc = SQLITE_OK; /* Result codes from subroutines */ | |
| const Table *pStat4; | |
| assert( db->lookaside.bDisable ); | |
| if( OptimizationEnabled(db, SQLITE_Stat4) | |
| && (pStat4 = sqlite3FindTable(db, "sqlite_stat4", zDb))!=0 | |
| && IsOrdinaryTable(pStat4) | |
| ){ | |
| rc = loadStatTbl(db, | |
| "SELECT idx,count(*) FROM %Q.sqlite_stat4 GROUP BY idx COLLATE nocase", | |
| "SELECT idx,neq,nlt,ndlt,sample FROM %Q.sqlite_stat4", | |
| zDb | |
| ); | |
| } | |
| return rc; | |
| } | |
| /* | |
| ** Load the content of the sqlite_stat1 and sqlite_stat4 tables. The | |
| ** contents of sqlite_stat1 are used to populate the Index.aiRowEst[] | |
| ** arrays. The contents of sqlite_stat4 are used to populate the | |
| ** Index.aSample[] arrays. | |
| ** | |
| ** If the sqlite_stat1 table is not present in the database, SQLITE_ERROR | |
| ** is returned. In this case, even if SQLITE_ENABLE_STAT4 was defined | |
| ** during compilation and the sqlite_stat4 table is present, no data is | |
| ** read from it. | |
| ** | |
| ** If SQLITE_ENABLE_STAT4 was defined during compilation and the | |
| ** sqlite_stat4 table is not present in the database, SQLITE_ERROR is | |
| ** returned. However, in this case, data is read from the sqlite_stat1 | |
| ** table (if it is present) before returning. | |
| ** | |
| ** If an OOM error occurs, this function always sets db->mallocFailed. | |
| ** This means if the caller does not care about other errors, the return | |
| ** code may be ignored. | |
| */ | |
| int sqlite3AnalysisLoad(sqlite3 *db, int iDb){ | |
| analysisInfo sInfo; | |
| HashElem *i; | |
| char *zSql; | |
| int rc = SQLITE_OK; | |
| Schema *pSchema = db->aDb[iDb].pSchema; | |
| const Table *pStat1; | |
| assert( iDb>=0 && iDb<db->nDb ); | |
| assert( db->aDb[iDb].pBt!=0 ); | |
| /* Clear any prior statistics */ | |
| assert( sqlite3SchemaMutexHeld(db, iDb, 0) ); | |
| for(i=sqliteHashFirst(&pSchema->tblHash); i; i=sqliteHashNext(i)){ | |
| Table *pTab = sqliteHashData(i); | |
| pTab->tabFlags &= ~TF_HasStat1; | |
| } | |
| for(i=sqliteHashFirst(&pSchema->idxHash); i; i=sqliteHashNext(i)){ | |
| Index *pIdx = sqliteHashData(i); | |
| pIdx->hasStat1 = 0; | |
| sqlite3DeleteIndexSamples(db, pIdx); | |
| pIdx->aSample = 0; | |
| } | |
| /* Load new statistics out of the sqlite_stat1 table */ | |
| sInfo.db = db; | |
| sInfo.zDatabase = db->aDb[iDb].zDbSName; | |
| if( (pStat1 = sqlite3FindTable(db, "sqlite_stat1", sInfo.zDatabase)) | |
| && IsOrdinaryTable(pStat1) | |
| ){ | |
| zSql = sqlite3MPrintf(db, | |
| "SELECT tbl,idx,stat FROM %Q.sqlite_stat1", sInfo.zDatabase); | |
| if( zSql==0 ){ | |
| rc = SQLITE_NOMEM_BKPT; | |
| }else{ | |
| rc = sqlite3_exec(db, zSql, analysisLoader, &sInfo, 0); | |
| sqlite3DbFree(db, zSql); | |
| } | |
| } | |
| /* Set appropriate defaults on all indexes not in the sqlite_stat1 table */ | |
| assert( sqlite3SchemaMutexHeld(db, iDb, 0) ); | |
| for(i=sqliteHashFirst(&pSchema->idxHash); i; i=sqliteHashNext(i)){ | |
| Index *pIdx = sqliteHashData(i); | |
| if( !pIdx->hasStat1 ) sqlite3DefaultRowEst(pIdx); | |
| } | |
| /* Load the statistics from the sqlite_stat4 table. */ | |
| if( rc==SQLITE_OK ){ | |
| DisableLookaside; | |
| rc = loadStat4(db, sInfo.zDatabase); | |
| EnableLookaside; | |
| } | |
| for(i=sqliteHashFirst(&pSchema->idxHash); i; i=sqliteHashNext(i)){ | |
| Index *pIdx = sqliteHashData(i); | |
| sqlite3_free(pIdx->aiRowEst); | |
| pIdx->aiRowEst = 0; | |
| } | |
| if( rc==SQLITE_NOMEM ){ | |
| sqlite3OomFault(db); | |
| } | |
| return rc; | |
| } | |