Hi! We have added the CUBE operator for PostgreSQL. Please find the attached patch.
Another thing to note is that the file datacube.c should be placed in src/backend/tcop/ and datacube.h should be in src/include. The syntax of the query is SELECT <field list><aggregate list> INTO <destination table> FROM <table expression> WHERE <search condition> GROUP BY <aggregate list> HAVING <search condition> WITH CUBE; An example along with the output is provided in the README.datacube file. Kindly have a look. Let us know your response. Srikanth M Sumit Kumar Mukherjee
*** ./src/backend/executor/spi.c.orig 2003-06-30 00:48:37.000000000 +0530 --- ./src/backend/executor/spi.c 2003-06-30 00:51:06.000000000 +0530 *************** *** 1046,1051 **** --- 1046,1052 ---- case T_UpdateStmt: origCmdType = CMD_UPDATE; break; + case T_CubeSelectStmt: /*** DATACUBE ***/ case T_SelectStmt: origCmdType = CMD_SELECT; break; *** ./src/backend/nodes/copyfuncs.c.orig 2003-06-30 00:48:48.000000000 +0530 --- ./src/backend/nodes/copyfuncs.c 2003-06-30 00:51:17.000000000 +0530 *************** *** 2944,2949 **** --- 2944,2950 ---- case T_UpdateStmt: retval = _copyUpdateStmt(from); break; + case T_CubeSelectStmt: /*** DATACUBE ***/ case T_SelectStmt: retval = _copySelectStmt(from); break; *** ./src/backend/nodes/equalfuncs.c.orig 2003-06-30 00:48:51.000000000 +0530 --- ./src/backend/nodes/equalfuncs.c 2003-06-30 00:51:25.000000000 +0530 *************** *** 2149,2154 **** --- 2149,2155 ---- case T_UpdateStmt: retval = _equalUpdateStmt(a, b); break; + case T_CubeSelectStmt: /*** DATACUBE ***/ case T_SelectStmt: retval = _equalSelectStmt(a, b); break; *** ./src/backend/nodes/outfuncs.c.orig 2003-06-30 00:48:55.000000000 +0530 --- ./src/backend/nodes/outfuncs.c 2003-06-30 00:51:31.000000000 +0530 *************** *** 1555,1560 **** --- 1555,1561 ---- case T_NotifyStmt: _outNotifyStmt(str, obj); break; + case T_CubeSelectStmt: /*** DATACUBE ***/ case T_SelectStmt: _outSelectStmt(str, obj); break; *** ./src/backend/parser/analyze.c.orig 2003-06-30 00:49:02.000000000 +0530 --- ./src/backend/parser/analyze.c 2003-06-30 01:12:44.000000000 +0530 *************** *** 304,309 **** --- 304,310 ---- break; case T_SelectStmt: + case T_CubeSelectStmt: /*** DATACUBE ***/ if (((SelectStmt *) parseTree)->op == SETOP_NONE) result = transformSelectStmt(pstate, (SelectStmt *) parseTree); *** ./src/backend/parser/gram.y.orig 2003-06-30 00:49:06.000000000 +0530 --- ./src/backend/parser/gram.y 2003-06-30 15:31:14.000000000 +0530 *************** *** 212,218 **** any_operator expr_list dotted_name attrs target_list update_target_list insert_column_list insert_target_list def_list opt_indirection ! group_clause TriggerFuncArgs select_limit opt_select_limit opclass_item_list trans_options TableFuncElementList prep_type_clause prep_type_list --- 212,218 ---- any_operator expr_list dotted_name attrs target_list update_target_list insert_column_list insert_target_list def_list opt_indirection ! group_clause TriggerFuncArgs select_limit cube_group_clause /*** DATACUBE ***/ opt_select_limit opclass_item_list trans_options TableFuncElementList prep_type_clause prep_type_list *************** *** 331,337 **** CLUSTER COALESCE COLLATE COLUMN COMMENT COMMIT COMMITTED CONSTRAINT CONSTRAINTS CONVERSION_P CONVERT COPY CREATE CREATEDB CREATEUSER CROSS CURRENT_DATE CURRENT_TIME ! CURRENT_TIMESTAMP CURRENT_USER CURSOR CYCLE DATABASE DAY_P DEALLOCATE DEC DECIMAL DECLARE DEFAULT DEFERRABLE DEFERRED DEFINER DELETE_P DELIMITER DELIMITERS --- 331,337 ---- CLUSTER COALESCE COLLATE COLUMN COMMENT COMMIT COMMITTED CONSTRAINT CONSTRAINTS CONVERSION_P CONVERT COPY CREATE CREATEDB CREATEUSER CROSS CURRENT_DATE CURRENT_TIME ! CURRENT_TIMESTAMP CURRENT_USER CURSOR CYCLE CUBE /*** DATACUBE ***/ DATABASE DAY_P DEALLOCATE DEC DECIMAL DECLARE DEFAULT DEFERRABLE DEFERRED DEFINER DELETE_P DELIMITER DELIMITERS *************** *** 4234,4239 **** --- 4234,4254 ---- into_clause from_clause where_clause group_clause having_clause { + SelectStmt *n = makeNode(SelectStmt); + n->distinctClause = $2; + n->targetList = $3; + n->into = $4; + n->intoColNames = NIL; + n->fromClause = $5; + n->whereClause = $6; + n->groupClause = $7; + n->havingClause = $8; + $$ = (Node *)n; + } + | SELECT opt_distinct target_list + into_clause from_clause where_clause + cube_group_clause having_clause WITH CUBE /*** DATACUBE ***/ + { SelectStmt *n = makeNode(SelectStmt); n->distinctClause = $2; n->targetList = $3; *************** *** 4243,4248 **** --- 4258,4264 ---- n->whereClause = $6; n->groupClause = $7; n->havingClause = $8; + n->type = T_CubeSelectStmt; /*** DATACUBE ***/ $$ = (Node *)n; } | select_clause UNION opt_all select_clause *************** *** 4471,4476 **** --- 4487,4496 ---- | /*EMPTY*/ { $$ = NIL; } ; + cube_group_clause: /*** DATACUBE ***/ + GROUP_P BY expr_list { $$ = $3; } /*** DATACUBE ***/ + ; /*** DATACUBE ***/ + having_clause: HAVING a_expr { $$ = $2; } | /*EMPTY*/ { $$ = NULL; } *************** *** 6995,7000 **** --- 7015,7021 ---- | COPY | CREATEDB | CREATEUSER + | CUBE /*** DATACUBE ***/ | CURSOR | CYCLE | DATABASE *** ./src/backend/parser/keywords.c.orig 2003-06-30 00:49:12.000000000 +0530 --- ./src/backend/parser/keywords.c 2003-06-30 00:51:47.000000000 +0530 *************** *** 88,93 **** --- 88,94 ---- {"createdb", CREATEDB}, {"createuser", CREATEUSER}, {"cross", CROSS}, + {"cube", CUBE}, /*** DATACUBE ***/ {"current_date", CURRENT_DATE}, {"current_time", CURRENT_TIME}, {"current_timestamp", CURRENT_TIMESTAMP}, *** ./src/backend/tcop/Makefile.orig 2003-06-30 00:50:07.000000000 +0530 --- ./src/backend/tcop/Makefile 2003-06-30 00:52:28.000000000 +0530 *************** *** 12,18 **** top_builddir = ../../.. include $(top_builddir)/src/Makefile.global ! OBJS= dest.o fastpath.o postgres.o pquery.o utility.o all: SUBSYS.o --- 12,18 ---- top_builddir = ../../.. include $(top_builddir)/src/Makefile.global ! OBJS= dest.o fastpath.o postgres.o pquery.o utility.o datacube.o all: SUBSYS.o *** ./src/backend/tcop/postgres.c.orig 2003-06-30 00:49:21.000000000 +0530 --- ./src/backend/tcop/postgres.c 2003-06-30 14:50:46.000000000 +0530 *************** *** 18,23 **** --- 18,24 ---- */ #include "postgres.h" + #include "datacube.h" /*** DATACUBE ***/ #include <unistd.h> #include <signal.h> *************** *** 69,74 **** --- 70,82 ---- extern int optind; extern char *optarg; + /* ---------------- + * Variables for DATACUBE + * ---------------- + */ + int dropTable = 0; + char refTableName[50]; + char *debug_query_string; /* for pgmonitor and * log_min_error_statement */ *************** *** 637,642 **** --- 645,651 ---- case T_UpdateStmt: origCmdType = CMD_UPDATE; break; + case T_CubeSelectStmt: /*** DATACUBE ***/ case T_SelectStmt: origCmdType = CMD_SELECT; break; *************** *** 803,808 **** --- 812,852 ---- */ Plan *plan; + /* ------------------------------------------------- + * DATACUBE: + * Depending on whether the original query is a + * CUBE statement, the function constructCube is + * called. + * + * cubeTable is the temporary table generated using + * the gettimeofday() function and is used for + * displaying the final result. + * + * dropTable is a flag which decides whether or not + * the temporary table is to be dropped. + * + * ------------------------------------------------- + */ + + if(nodeTag(parsetree) == T_CubeSelectStmt && querytree->hasAggs == false) + elog(ERROR, "CUBE operator requires atleast one measure attribute [SUM, MAX, MIN, COUNT, AVG]"); + else if (nodeTag(parsetree) == T_CubeSelectStmt && querytree->hasAggs == true) + { + char *cubeTable; + + cubeTable = palloc(sizeof(char)*30); + cubeTable = getTableName(); + strcpy(refTableName, cubeTable); + dropTable = 1; + + constructCube (querytree, TopMemoryContext, cubeTable); + #ifdef MEMORY_CONTEXT_CHECKING + MemoryContextCheck(TopMemoryContext); + #endif + + return; + } + /* * Initialize snapshot state for query. This has to * be done before running the planner, because it might *************** *** 1924,1932 **** --- 1968,1994 ---- QueryCancelPending = false; CHECK_FOR_INTERRUPTS(); + /* -------------------------------------------------- + * DATACUBE: + * The following if condition checks whether the + * flag dropTable is set and if it is, drops the + * temporary table created for the CUBE. + * + * -------------------------------------------------- + */ + if (dropTable == 1) + { + dropCubeTable (refTableName, TopMemoryContext); + dropTable = 0; + #ifdef MEMORY_CONTEXT_CHECKING + MemoryContextCheck(TopMemoryContext); + #endif + } + /* * (3) read a command (loop blocks here) */ + firstchar = ReadCommand(parser_input); /* *************** *** 2204,2209 **** --- 2266,2272 ---- tag = "UPDATE"; break; + case T_CubeSelectStmt: /*** DATACUBE ***/ case T_SelectStmt: tag = "SELECT"; break; *** ./src/backend/utils/adt/ruleutils.c.orig 2003-06-30 00:52:36.000000000 +0530 --- ./src/backend/utils/adt/ruleutils.c 2003-06-30 15:37:38.000000000 +0530 *************** *** 127,133 **** StringInfo buf); static void make_ruledef(StringInfo buf, HeapTuple ruletup, TupleDesc rulettc); static void make_viewdef(StringInfo buf, HeapTuple ruletup, TupleDesc rulettc); ! static void get_query_def(Query *query, StringInfo buf, List *parentnamespace, TupleDesc resultDesc); static void get_select_query_def(Query *query, deparse_context *context, TupleDesc resultDesc); --- 127,133 ---- StringInfo buf); static void make_ruledef(StringInfo buf, HeapTuple ruletup, TupleDesc rulettc); static void make_viewdef(StringInfo buf, HeapTuple ruletup, TupleDesc rulettc); ! void get_query_def(Query *query, StringInfo buf, List *parentnamespace, TupleDesc resultDesc); static void get_select_query_def(Query *query, deparse_context *context, TupleDesc resultDesc); *************** *** 165,171 **** StringInfo buf); static bool tleIsArrayAssign(TargetEntry *tle); static char *generate_relation_name(Oid relid); ! static char *generate_function_name(Oid funcid, int nargs, Oid *argtypes); static char *generate_operator_name(Oid operid, Oid arg1, Oid arg2); static char *get_relid_attribute_name(Oid relid, AttrNumber attnum); --- 165,171 ---- StringInfo buf); static bool tleIsArrayAssign(TargetEntry *tle); static char *generate_relation_name(Oid relid); ! char *generate_function_name(Oid funcid, int nargs, Oid *argtypes); static char *generate_operator_name(Oid operid, Oid arg1, Oid arg2); static char *get_relid_attribute_name(Oid relid, AttrNumber attnum); *************** *** 1262,1268 **** * the view represented by a SELECT query. * ---------- */ ! static void get_query_def(Query *query, StringInfo buf, List *parentnamespace, TupleDesc resultDesc) { --- 1262,1268 ---- * the view represented by a SELECT query. * ---------- */ ! void get_query_def(Query *query, StringInfo buf, List *parentnamespace, TupleDesc resultDesc) { *************** *** 3146,3152 **** * * The result includes all necessary quoting and schema-prefixing. */ ! static char * generate_function_name(Oid funcid, int nargs, Oid *argtypes) { HeapTuple proctup; --- 3146,3152 ---- * * The result includes all necessary quoting and schema-prefixing. */ ! char * generate_function_name(Oid funcid, int nargs, Oid *argtypes) { HeapTuple proctup; *** ./src/include/nodes/nodes.h.orig 2003-06-30 00:49:40.000000000 +0530 --- ./src/include/nodes/nodes.h 2003-06-30 00:50:40.000000000 +0530 *************** *** 203,208 **** --- 203,209 ---- T_PrepareStmt, T_ExecuteStmt, T_DeallocateStmt, + T_CubeSelectStmt, /*** DATACUBE ***/ T_A_Expr = 700, T_ColumnRef,
/********************************************************* * datacube.c * Utility to build a datacube in PostgreSQL. * * Currently does not support nested CUBE queries. * ********************************************************/ #include <sys/time.h> #include "postgres.h" #include "datacube.h" #include "utils/memutils.h" #include "tcop/tcopprot.h" #include "parser/parse_expr.h" /* ---------------- * Global variables * ---------------- */ int m, Ind = 0, numAtts = 0, **Combinations; char **c, **projectedAttrs, cubeTableName[30]; /* ----------------------------------------------- * nCr * * Function to calculate the number of ways of * selecting r objects from n objects. * * ---------------------------------------------- */ int nCr (int n, int r) { int num = 1, den = 1, i; for (i = n; i >= n-r+1; i--) num *= i; for (i = r; i >= 1; i--) den *= i; return num/den; } /* ---------------------------------------------- * getMaxCombinations * * This calls the function nCr for values * of r ranging from 0 to n. The total value * of their sum is the maximum number of * combinations possible for given values of * n and r. * * This value is required to decide the size of the * array required to store the different combinations. * * ---------------------------------------------- */ int getMaxCombinations(int n) { int r = 0; int NumCombinations = 0; for (r = 0; r <= n; r++) NumCombinations += nCr(n,r); return NumCombinations; } /* ---------------------------------------------- * Combination * * The actual function where the combinations * are built and stored into the global array * called Combinations. This array is later on * used to generate the actual query for the * DATACUBE. * * ---------------------------------------------- */ void Combination(char **arr ,int n, int x, int r) { int i, j; static int y = -1; y++; for(i = x; i < n; ++i) { c[y] = (char *) malloc( sizeof (arr[i]) ); strcpy (c[y], arr[i]); if(n == m) { for (j = 0; j < r; j++) Combinations[Ind][getIndex(c[j])] = 1; Ind++; } else Combination (arr+1, n-1, i, r); } y--; } /* ---------------------------------------------- * getIndex * * A small function to find the index of the * location of the generated combination in the * actual array. * * Never mind if you didnt understand what is * written above. * * ---------------------------------------------- */ int getIndex(char *str) { int i = 0; for( i = 0; i <= numAtts; i++) if ( strcmp(projectedAttrs[i],str) == 0 ) return i; return -1; } /* ---------------------------------------------- * generateCombinations * * A simple function which initialises the global * array Combinations * * ---------------------------------------------- */ int generateCombinations (void) { int length, i, j; int NumCombinations = getMaxCombinations(numAtts); Combinations = (int **)malloc(sizeof(int*) * NumCombinations); for(i = 0; i < NumCombinations; i++) { Combinations[i] = (int *) malloc(sizeof(int)*numAtts); for(j = 0; j < numAtts; j++) Combinations[i][j] = 0; } for(length = 0; length <= numAtts; length++) { m = numAtts-length+1; c = (char **) malloc(length*sizeof(char*)); Combination(projectedAttrs,numAtts,0,length); } return NumCombinations; } /* ---------------------------------------------- * generateQuery * * This is the function where the actual query * generation takes place. Depending on the * current combination in the Combinations array, * the query is generated taking the attribute * name if the value for that particular attribute * is 1 or using the same attribute as NULL if 0. * * ex: Suppose the attributes are type, store. Let * the current combination be 01. Then the targetlist * is NULL AS type, store. Similarly, for 10 it is * type, NULL AS store * * Returns the generated query to the main loop. * * ---------------------------------------------- */ StringInfo generateQuery(int numSelect, char *aggregateAttrsList) { StringInfo cubeQueryString = makeStringInfo(); int i, j, k, flag = 0; for (i = 0; i < numSelect; i++) { flag = 0; appendStringInfo(cubeQueryString, "SELECT "); for (j = 0; j < numAtts; j++) { if (Combinations[i][j] == 1) appendStringInfo(cubeQueryString, "%s, ", projectedAttrs[j]); else if (Combinations[i][j] == 0) appendStringInfo(cubeQueryString, "NULL AS %s, ", projectedAttrs[j]); } appendStringInfo(cubeQueryString, "%s FROM %s", aggregateAttrsList, cubeTableName); for (j = 0; j < numAtts; j++) if (Combinations[i][j] == 1) flag = 1; if (flag != 0) { appendStringInfo(cubeQueryString, " GROUP BY "); for (j = 0; j < numAtts; j++) { flag = 0; if (Combinations[i][j] == 1) { appendStringInfo(cubeQueryString, projectedAttrs[j]); for (k = j+1; k < numAtts; k++) if (Combinations[i][k] == 1) flag = 1; if (flag == 1) appendStringInfo(cubeQueryString, ", "); } } } if (i != numSelect-1) appendStringInfo(cubeQueryString, " UNION "); } return cubeQueryString; } /* ---------------------------------------------- * executeQuery * * Routine to handle the execution of the query * whose query string is passed along with the * TopMemoryContext. * * This invokes a call to pg_exec_query_string. * * ---------------------------------------------- */ void executeQuery(StringInfo buf, MemoryContext context) { MemoryContext CubeContext; CubeContext = AllocSetContextCreate(context, "CubeContext", ALLOCSET_DEFAULT_MINSIZE, ALLOCSET_DEFAULT_INITSIZE, ALLOCSET_DEFAULT_MAXSIZE); pg_exec_query_string(buf, 2, CubeContext); } /* ---------------------------------------------- * getTableName * * Our function needs to create a temporary table * to generate the final result. To avoid any * clashes/errors, a table name is generated using * the function gettimeofday(). * * The name of the table so generated is returned. * * ---------------------------------------------- */ char* getTableName(void) { struct timeval tval; struct timezone tz; char *timestr; timestr = palloc(sizeof(char)*30); tz.tz_minuteswest = 0; tz.tz_dsttime = 0; if(gettimeofday(&tval, &tz) != 0) elog(ERROR, "Could not get time of day"); else sprintf(timestr, "cube_%ld_%ld",tval.tv_sec,tval.tv_usec); return timestr; } /* ------------------------------------------------------------------ * constructCube * * The main routine which handles the generation of the DATACUBE. * This function is invoked from postgres.c if it is found that the * current query has a CubeSelectStmt (defined by us) tag. * * The main processes which take place are * * a) Retrieve the actual query string from the querytree using * the function get_query_def defined in ruleutils.c * b) Create a table with the generated name with the result of * the actual query WITHOUT the CUBE part. * c) Find out the attributes in the targetlist and extract the * aggregatelist into aggregateAttrsList. * d) Generate the possible combinations of attributes possible * using the function generateCombinations(). * e) Using these generate combinations, construct the actual * query to be run on the table generated in (b). * f) Execute this query. If the original query had an 'into', * save the result of the CUBE query to that particular table. * Else display the result to the user. * * ------------------------------------------------------------------ */ void constructCube(Query *querytree, MemoryContext context, char *cubeTable) { StringInfo buf = makeStringInfo(); StringInfo createTableQuery = makeStringInfo(); StringInfo cubeQuery = makeStringInfo(); StringInfo intoCubeQuery = makeStringInfo(); List *l; char *aggregateAttrsList, intoRelation[30]; int i = 0, count = 0, numSelect = 0; numAtts = 0, Ind = 0; //Retrieve query string from querytree get_query_def(querytree, buf, NIL, NULL); strcpy (cubeTableName,cubeTable); appendStringInfo(createTableQuery, "CREATE TABLE %s AS %s", cubeTableName, buf->data); // printf("CREATE TABLE QUERY IS %s\n\n",createTableQuery->data); executeQuery(createTableQuery, context); foreach(l, querytree->targetList) { TargetEntry *tle = (TargetEntry *) lfirst(l); if(tle->resdom->ressortgroupref > 0) numAtts++; } //Allocate Memory for projectedAttrs projectedAttrs = palloc( sizeof(char *) * numAtts ); aggregateAttrsList = palloc (sizeof (char) * 1000); foreach(l, querytree->targetList) { char *funcname; TargetEntry *tle = (TargetEntry *) lfirst(l); if(tle->resdom->ressortgroupref > 0) { projectedAttrs[i] = (char *)malloc(sizeof(char) * sizeof(tle->resdom->resname)); projectedAttrs[i] = tle->resdom->resname; i++; } if(nodeTag(tle->expr) == T_Aggref ) { Aggref *aggref = (Aggref *) tle->expr; Oid argtype = exprType(aggref->target); funcname = generate_function_name(aggref->aggfnoid, 1, &argtype); if(count == 0) sprintf(aggregateAttrsList,"%s(%s)", funcname,tle->resdom->resname); else sprintf(aggregateAttrsList,"%s, %s(%s)", aggregateAttrsList, funcname,tle->resdom->resname); count++; } } numSelect = generateCombinations(); cubeQuery = generateQuery(numSelect, aggregateAttrsList); if (querytree->into != NULL) { strcpy (intoRelation, querytree->into->relname); intoCubeQuery->data = palloc(sizeof(char)); appendStringInfo(intoCubeQuery, "CREATE TABLE %s AS %s", intoRelation, cubeQuery->data); // printf("CUBE QUERY IS %s\n",intoCubeQuery->data); executeQuery(intoCubeQuery, context); } else // { // printf("CUBE QUERY IS %s\n",cubeQuery->data); executeQuery(cubeQuery, context); // } } /* ---------------------------------------------- * dropCubeTable * * This routine is used to drop the temporary table * created using getTableName(). * * ---------------------------------------------- */ void dropCubeTable (char *tableName, MemoryContext context) { StringInfo dropTableQuery = makeStringInfo(); appendStringInfo(dropTableQuery, "DROP TABLE %s", tableName); // printf("dropTableQuery is %s\n\n",dropTableQuery->data); executeQuery(dropTableQuery, context); }
#ifndef DATACUBE_H #define DATACUBE_H #include "nodes/parsenodes.h" #include "lib/stringinfo.h" #include "access/tupdesc.h" extern int nCr (int n, int r); extern int getMaxCombinations(int n); extern void Combination(char **arr ,int n, int x, int r); extern int getIndex(char *str); extern int generateCombinations (void); extern StringInfo generateQuery(int numSelect, char *aggregateAttrsList); extern void executeQuery(StringInfo buf, MemoryContext context); extern char* getTableName(void); extern void constructCube(Query *querytree, MemoryContext context, char *cubeTable); extern void dropCubeTable(char *tableName, MemoryContext context); extern void get_query_def(Query *query, StringInfo buf, List *parentnamespace, TupleDesc resultDesc); extern char *generate_function_name(Oid funcid, int nargs, Oid *argtypes); #endif /* DATACUBE_H */
DATACUBE operator for PostgreSQL. © Copyright 2003, Srikanth M <[EMAIL PROTECTED]> and Sumit Kumar Mukherjee <[EMAIL PROTECTED]> DATACUBE is an operator which generalizes relational aggregates. Since this is useful in building datawarehouses for OLAP (Online Analytical Processing), we felt the need to implement this in PostgreSQL. Oracle and MySQL already have one. In keeping with this, we first define the syntax of a CUBE statement as follows: SELECT <field list><aggregate list> INTO <destination table> FROM <table expression> WHERE <search condition> GROUP BY <aggregate list> HAVING <search condition> WITH CUBE; Of the above, SELECT, FROM and GROUP BY fields are mandatory. Depending on whether the querytree has an INTO structure, we redirect the result of the CUBE query to the required table. Example: -------- Let the fact table be pets: type | store | number | cost --------+--------+--------+------ Turtle | Tampa | 4 | 20 Dog | Tampa | 14 | 20 Cat | Naples | 9 | 17 Dog | Naples | 5 | 20 Turtle | Naples | 1 | 20 Dog | Miami | 12 | 13 Cat | Miami | 18 | 13 The CUBE query can be given as: db=# SELECT type, store, sum(number) FROM pets GROUP BY type, store WITH CUBE; type | store | sum --------+--------+----- Cat | Miami | 18 Cat | Naples | 9 Cat | | 27 Dog | Miami | 12 Dog | Naples | 5 Dog | Tampa | 14 Dog | | 31 Turtle | Naples | 1 Turtle | Tampa | 4 Turtle | | 5 | Miami | 30 | Naples | 15 | Tampa | 18 | | 63 (14 rows) NOTE: ----- a) As of now the CUBE operator works only for queries with a CUBE operator in the outermost level. That is, a query like SELECT type, store, max(number) FROM pets GROUP BY type, store WITH CUBE; is valid. But a query with a nested CUBE operator like in SELECT * FROM pets WHERE (type, store, number) IN (SELECT type, store, avg(number) FROM pets GROUP BY type, store WITH CUBE); is invalid. b) Also, the NULL fields that can be seen in the result actually represent ALL. So one should set null to ALL before running the query to get an exact idea. We would be glad if someone could come up with a modification so that the null display is set to ALL when a CUBE query is called and then reset to normal once execution is done. c) The current algorithm follows a naive method of generating a UNION of SELECT queries to obtain the CUBE. An even more efficient method is currently being devised and we hope to complete it by the next release. The Implementation: ------------------- This section is for those who are interested in the logic behind the implementation of the CUBE operator. Further changes/suggestions are welcome. Just before the execution of the query starts (in postgres.c), we check if the current querytree has the T_CubeSelectStmt nodeTag. If it does, then we invoke the function constructCube defined in src/backend/tcop/datacube.c constructCube is thhe main routine which handles the generation of the DATACUBE. This function takes in as input the querytree, the TopMemoryContext (used while invoking pg_exec_query_string), and a temporary table name generated using gettimeofday(). The main processes which take place in this routine are: a) Retrieve the actual query string from the querytree using the function get_query_def defined in ruleutils.c b) Create a table with the generated name with the result of the actual query WITHOUT the CUBE part. c) Find out the attributes in the targetlist and extract the aggregatelist into aggregateAttrsList. d) Generate the possible combinations of attributes possible using the function generateCombinations(). e) Using these generated combinations, construct the actual query to be run on the table generated in (b). f) Execute this query. If the original query had an 'into', save the result of the CUBE query to that particular table. Else display the result to the user. For further details, please have a look at the source code in datacube.c
---------------------------(end of broadcast)--------------------------- TIP 9: the planner will ignore your desire to choose an index scan if your joining column's datatypes do not match