581 lines
19 KiB
Plaintext
581 lines
19 KiB
Plaintext
# 2010 September 24
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#
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# The author disclaims copyright to this source code. In place of
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# a legal notice, here is a blessing:
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#
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# May you do good and not evil.
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# May you find forgiveness for yourself and forgive others.
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# May you share freely, never taking more than you give.
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#
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#***********************************************************************
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#
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# This file implements tests to verify that the "testable statements" in
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# the lang_select.html document are correct.
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#
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set testdir [file dirname $argv0]
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source $testdir/tester.tcl
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#-------------------------------------------------------------------------
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# te_* commands:
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#
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#
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# te_read_sql DB SELECT-STATEMENT
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# te_read_tbl DB TABLENAME
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#
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# These two commands are used to read a dataset from the database. A dataset
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# consists of N rows of M named columns of values each, where each value has a
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# type (null, integer, real, text or blob) and a value within the types domain.
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# The tcl format for a "dataset" is a list of two elements:
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#
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# * A list of the column names.
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# * A list of data rows. Each row is itself a list, where each element is
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# the contents of a column of the row. Each of these is a list of two
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# elements, the type name and the actual value.
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#
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# For example, the contents of table [t1] as a dataset is:
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#
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# CREATE TABLE t1(a, b);
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# INSERT INTO t1 VALUES('abc', NULL);
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# INSERT INTO t1 VALUES(43.1, 22);
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#
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# {a b} {{{TEXT abc} {NULL {}}} {{REAL 43.1} {INTEGER 22}}}
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#
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# The [te_read_tbl] command returns a dataset read from a table. The
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# [te_read_sql] returns the dataset that results from executing a SELECT
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# command.
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#
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#
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# te_tbljoin ?SWITCHES? LHS-TABLE RHS-TABLE
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# te_join ?SWITCHES? LHS-DATASET RHS-DATASET
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#
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# This command joins the two datasets and returns the resulting dataset. If
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# there are no switches specified, then the results is the cartesian product
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# of the two inputs. The [te_tbljoin] command reads the left and right-hand
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# datasets from the specified tables. The [te_join] command is passed the
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# datasets directly.
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#
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# Optional switches are as follows:
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#
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# -on SCRIPT
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# -using COLUMN-LIST
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# -left
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#
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# The -on option specifies a tcl script that is executed for each row in the
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# cartesian product of the two datasets. The script has 4 arguments appended
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# to it, in the following order:
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#
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# * The list of column-names from the left-hand dataset.
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# * A single row from the left-hand dataset (one "data row" list as
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# described above.
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# * The list of column-names from the right-hand dataset.
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# * A single row from the right-hand dataset.
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#
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# The script must return a boolean value - true if the combination of rows
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# should be included in the output dataset, or false otherwise.
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#
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# The -using option specifies a list of the columns from the right-hand
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# dataset that should be omitted from the output dataset.
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#
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# If the -left option is present, the join is done LEFT JOIN style.
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# Specifically, an extra row is inserted if after the -on script is run there
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# exist rows in the left-hand dataset that have no corresponding rows in
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# the output. See the implementation for more specific comments.
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#
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#
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# te_equals ?SWITCHES? COLNAME1 COLNAME2 <-on script args>
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#
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# The only supported switch is "-nocase". If it is present, then text values
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# are compared in a case-independent fashion. Otherwise, they are compared
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# as if using the SQLite BINARY collation sequence.
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#
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#
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# te_and ONSCRIPT1 ONSCRIPT2...
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#
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#
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#
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# te_read_tbl DB TABLENAME
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# te_read_sql DB SELECT-STATEMENT
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#
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# These two procs are used to extract datasets from the database, either
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# by reading the contents of a named table (te_read_tbl), or by executing
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# a SELECT statement (t3_read_sql).
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#
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# See the comment above, describing "te_* commands", for details of the
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# return values.
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#
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proc te_read_tbl {db tbl} {
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te_read_sql $db "SELECT * FROM '$tbl'"
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}
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proc te_read_sql {db sql} {
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set S [sqlite3_prepare_v2 $db $sql -1 DUMMY]
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set cols [list]
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for {set i 0} {$i < [sqlite3_column_count $S]} {incr i} {
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lappend cols [sqlite3_column_name $S $i]
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}
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set rows [list]
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while {[sqlite3_step $S] == "SQLITE_ROW"} {
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set r [list]
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for {set i 0} {$i < [sqlite3_column_count $S]} {incr i} {
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lappend r [list [sqlite3_column_type $S $i] [sqlite3_column_text $S $i]]
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}
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lappend rows $r
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}
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sqlite3_finalize $S
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return [list $cols $rows]
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}
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#-------
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# Usage: te_join <table-data1> <table-data2> <join spec>...
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#
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# Where a join-spec is an optional list of arguments as follows:
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#
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# ?-left?
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# ?-using colname-list?
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# ?-on on-expr-proc?
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#
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proc te_join {data1 data2 args} {
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set testproc ""
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set usinglist [list]
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set isleft 0
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for {set i 0} {$i < [llength $args]} {incr i} {
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set a [lindex $args $i]
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switch -- $a {
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-on { set testproc [lindex $args [incr i]] }
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-using { set usinglist [lindex $args [incr i]] }
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-left { set isleft 1 }
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default {
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error "Unknown argument: $a"
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}
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}
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}
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set c1 [lindex $data1 0]
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set c2 [lindex $data2 0]
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set omitlist [list]
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set nullrowlist [list]
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set cret $c1
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set cidx 0
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foreach col $c2 {
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set idx [lsearch $usinglist $col]
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if {$idx>=0} {lappend omitlist $cidx}
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if {$idx<0} {
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lappend nullrowlist {NULL {}}
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lappend cret $col
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}
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incr cidx
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}
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set omitlist [lsort -integer -decreasing $omitlist]
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set rret [list]
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foreach r1 [lindex $data1 1] {
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set one 0
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foreach r2 [lindex $data2 1] {
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set ok 1
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if {$testproc != ""} {
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set ok [eval $testproc [list $c1 $r1 $c2 $r2]]
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}
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if {$ok} {
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set one 1
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foreach idx $omitlist {set r2 [lreplace $r2 $idx $idx]}
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lappend rret [concat $r1 $r2]
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}
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}
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if {$isleft && $one==0} {
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lappend rret [concat $r1 $nullrowlist]
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}
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}
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list $cret $rret
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}
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proc te_tbljoin {db t1 t2 args} {
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te_join [te_read_tbl $db $t1] [te_read_tbl $db $t2] {*}$args
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}
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proc te_apply_affinity {affinity typevar valvar} {
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upvar $typevar type
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upvar $valvar val
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switch -- $affinity {
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integer {
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if {[string is double $val]} { set type REAL }
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if {[string is wideinteger $val]} { set type INTEGER }
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if {$type == "REAL" && int($val)==$val} {
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set type INTEGER
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set val [expr {int($val)}]
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}
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}
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text {
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set type TEXT
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}
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none { }
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default { error "invalid affinity: $affinity" }
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}
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}
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#----------
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# te_equals ?SWITCHES? c1 c2 cols1 row1 cols2 row2
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#
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proc te_equals {args} {
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if {[llength $args]<6} {error "invalid arguments to te_equals"}
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foreach {c1 c2 cols1 row1 cols2 row2} [lrange $args end-5 end] break
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set nocase 0
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set affinity none
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for {set i 0} {$i < ([llength $args]-6)} {incr i} {
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set a [lindex $args $i]
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switch -- $a {
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-nocase {
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set nocase 1
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}
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-affinity {
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set affinity [string tolower [lindex $args [incr i]]]
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}
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default {
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error "invalid arguments to te_equals"
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}
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}
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}
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set idx2 [if {[string is integer $c2]} { set c2 } else { lsearch $cols2 $c2 }]
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set idx1 [if {[string is integer $c1]} { set c1 } else { lsearch $cols1 $c1 }]
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set t1 [lindex $row1 $idx1 0]
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set t2 [lindex $row2 $idx2 0]
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set v1 [lindex $row1 $idx1 1]
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set v2 [lindex $row2 $idx2 1]
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te_apply_affinity $affinity t1 v1
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te_apply_affinity $affinity t2 v2
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if {$t1 == "NULL" || $t2 == "NULL"} { return 0 }
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if {$nocase && $t1 == "TEXT"} { set v1 [string tolower $v1] }
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if {$nocase && $t2 == "TEXT"} { set v2 [string tolower $v2] }
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set res [expr {$t1 == $t2 && [string equal $v1 $v2]}]
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return $res
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}
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proc te_false {args} { return 0 }
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proc te_true {args} { return 1 }
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proc te_and {args} {
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foreach a [lrange $args 0 end-4] {
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set res [eval $a [lrange $args end-3 end]]
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if {$res == 0} {return 0}
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}
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return 1
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}
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proc te_dataset_eq {testname got expected} {
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uplevel #0 [list do_test $testname [list set {} $got] $expected]
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}
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proc te_dataset_eq_unordered {testname got expected} {
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lset got 1 [lsort [lindex $got 1]]
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lset expected 1 [lsort [lindex $expected 1]]
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te_dataset_eq $testname $got $expected
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}
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proc te_dataset_ne {testname got unexpected} {
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uplevel #0 [list do_test $testname [list string equal $got $unexpected] 0]
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}
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proc te_dataset_ne_unordered {testname got unexpected} {
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lset got 1 [lsort [lindex $got 1]]
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lset unexpected 1 [lsort [lindex $unexpected 1]]
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te_dataset_ne $testname $got $unexpected
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}
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#-------------------------------------------------------------------------
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#
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proc test_join {tn sqljoin tbljoinargs} {
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set sql [te_read_sql db "SELECT * FROM $sqljoin"]
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set te [te_tbljoin db {*}$tbljoinargs]
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te_dataset_eq_unordered $tn $sql $te
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}
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drop_all_tables
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do_execsql_test e_select-2.0 {
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CREATE TABLE t1(a, b);
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CREATE TABLE t2(a, b);
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CREATE TABLE t3(b COLLATE nocase);
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INSERT INTO t1 VALUES(2, 'B');
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INSERT INTO t1 VALUES(1, 'A');
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INSERT INTO t1 VALUES(4, 'D');
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INSERT INTO t1 VALUES(NULL, NULL);
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INSERT INTO t1 VALUES(3, NULL);
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INSERT INTO t2 VALUES(1, 'A');
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INSERT INTO t2 VALUES(2, NULL);
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INSERT INTO t2 VALUES(5, 'E');
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INSERT INTO t2 VALUES(NULL, NULL);
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INSERT INTO t2 VALUES(3, 'C');
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INSERT INTO t3 VALUES('a');
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INSERT INTO t3 VALUES('c');
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INSERT INTO t3 VALUES('b');
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} {}
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foreach {tn indexes} {
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e_select-2.1.1 { }
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e_select-2.1.2 { CREATE INDEX i1 ON t1(a) }
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e_select-2.1.3 { CREATE INDEX i1 ON t2(a) }
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e_select-2.1.4 { CREATE INDEX i1 ON t3(b) }
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} {
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catchsql { DROP INDEX i1 }
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catchsql { DROP INDEX i2 }
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catchsql { DROP INDEX i3 }
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execsql $indexes
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# EVIDENCE-OF: R-46122-14930 If the join-op is "CROSS JOIN", "INNER
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# JOIN", "JOIN" or a comma (",") and there is no ON or USING clause,
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# then the result of the join is simply the cartesian product of the
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# left and right-hand datasets.
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#
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# EVIDENCE-OF: R-46256-57243 There is no difference between the "INNER
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# JOIN", "JOIN" and "," join operators.
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#
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# EVIDENCE-OF: R-25071-21202 The "CROSS JOIN" join operator produces the
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# same result as the "INNER JOIN", "JOIN" and "," operators
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#
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test_join $tn.1.1 "t1, t2" {t1 t2}
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test_join $tn.1.2 "t1 INNER JOIN t2" {t1 t2}
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test_join $tn.1.3 "t1 CROSS JOIN t2" {t1 t2}
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test_join $tn.1.4 "t1 JOIN t2" {t1 t2}
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test_join $tn.1.5 "t2, t3" {t2 t3}
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test_join $tn.1.6 "t2 INNER JOIN t3" {t2 t3}
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test_join $tn.1.7 "t2 CROSS JOIN t3" {t2 t3}
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test_join $tn.1.8 "t2 JOIN t3" {t2 t3}
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test_join $tn.1.9 "t2, t2 AS x" {t2 t2}
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test_join $tn.1.10 "t2 INNER JOIN t2 AS x" {t2 t2}
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test_join $tn.1.11 "t2 CROSS JOIN t2 AS x" {t2 t2}
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test_join $tn.1.12 "t2 JOIN t2 AS x" {t2 t2}
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# EVIDENCE-OF: R-22775-56496 If there is an ON clause specified, then
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# the ON expression is evaluated for each row of the cartesian product
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# as a boolean expression. All rows for which the expression evaluates
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# to false are excluded from the dataset.
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#
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test_join $tn.2.1 "t1, t2 ON (t1.a=t2.a)" {t1 t2 -on {te_equals a a}}
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test_join $tn.2.2 "t2, t1 ON (t1.a=t2.a)" {t2 t1 -on {te_equals a a}}
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test_join $tn.2.3 "t2, t1 ON (1)" {t2 t1 -on te_true}
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test_join $tn.2.4 "t2, t1 ON (NULL)" {t2 t1 -on te_false}
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test_join $tn.2.5 "t2, t1 ON (1.1-1.1)" {t2 t1 -on te_false}
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test_join $tn.2.6 "t1, t2 ON (1.1-1.0)" {t1 t2 -on te_true}
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test_join $tn.3 "t1 LEFT JOIN t2 ON (t1.a=t2.a)" {t1 t2 -left -on {te_equals a a}}
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test_join $tn.4 "t1 LEFT JOIN t2 USING (a)" {
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t1 t2 -left -using a -on {te_equals a a}
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}
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test_join $tn.5 "t1 CROSS JOIN t2 USING(b, a)" {
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t1 t2 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.6 "t1 NATURAL JOIN t2" {
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t1 t2 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.7 "t1 NATURAL INNER JOIN t2" {
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t1 t2 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.8 "t1 NATURAL CROSS JOIN t2" {
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t1 t2 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.9 "t1 NATURAL INNER JOIN t2" {
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t1 t2 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.10 "t1 NATURAL LEFT JOIN t2" {
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t1 t2 -left -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.11 "t1 NATURAL LEFT OUTER JOIN t2" {
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t1 t2 -left -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.12 "t2 NATURAL JOIN t1" {
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t2 t1 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.13 "t2 NATURAL INNER JOIN t1" {
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t2 t1 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.14 "t2 NATURAL CROSS JOIN t1" {
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t2 t1 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.15 "t2 NATURAL INNER JOIN t1" {
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t2 t1 -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.16 "t2 NATURAL LEFT JOIN t1" {
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t2 t1 -left -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.17 "t2 NATURAL LEFT OUTER JOIN t1" {
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t2 t1 -left -using {a b} -on {te_and {te_equals a a} {te_equals b b}}
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}
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test_join $tn.18 "t1 LEFT JOIN t2 USING (b)" {
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t1 t2 -left -using b -on {te_equals b b}
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}
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test_join $tn.19 "t1 JOIN t3 USING(b)" {t1 t3 -using b -on {te_equals b b}}
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test_join $tn.20 "t3 JOIN t1 USING(b)" {
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t3 t1 -using b -on {te_equals -nocase b b}
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}
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test_join $tn.21 "t1 NATURAL JOIN t3" {
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t1 t3 -using b -on {te_equals b b}
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}
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test_join $tn.22 "t3 NATURAL JOIN t1" {
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t3 t1 -using b -on {te_equals -nocase b b}
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}
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test_join $tn.23 "t1 NATURAL LEFT JOIN t3" {
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t1 t3 -left -using b -on {te_equals b b}
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}
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test_join $tn.24 "t3 NATURAL LEFT JOIN t1" {
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t3 t1 -left -using b -on {te_equals -nocase b b}
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}
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test_join $tn.25 "t1 LEFT JOIN t3 ON (t3.b=t1.b)" {
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t1 t3 -left -on {te_equals -nocase b b}
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}
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test_join $tn.26 "t1 LEFT JOIN t3 ON (t1.b=t3.b)" {
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t1 t3 -left -on {te_equals b b}
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}
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test_join $tn.27 "t1 JOIN t3 ON (t1.b=t3.b)" { t1 t3 -on {te_equals b b} }
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# EVIDENCE-OF: R-28760-53843 When more than two tables are joined
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# together as part of a FROM clause, the join operations are processed
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# in order from left to right. In other words, the FROM clause (A
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# join-op-1 B join-op-2 C) is computed as ((A join-op-1 B) join-op-2 C).
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#
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# Tests 28a and 28b show that the statement above is true for this case.
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# Test 28c shows that if the parenthesis force a different order of
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# evaluation the result is different. Test 28d verifies that the result
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# of the query with the parenthesis forcing a different order of evaluation
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# is as calculated by the [te_*] procs.
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#
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set t3_natural_left_join_t2 [
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te_tbljoin db t3 t2 -left -using {b} -on {te_equals -nocase b b}
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]
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set t1 [te_read_tbl db t1]
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te_dataset_eq_unordered $tn.28a [
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te_read_sql db "SELECT * FROM t3 NATURAL LEFT JOIN t2 NATURAL JOIN t1"
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] [te_join $t3_natural_left_join_t2 $t1 \
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-using {a b} -on {te_and {te_equals a a} {te_equals -nocase b b}} \
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]
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|
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te_dataset_eq_unordered $tn.28b [
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te_read_sql db "SELECT * FROM (t3 NATURAL LEFT JOIN t2) NATURAL JOIN t1"
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] [te_join $t3_natural_left_join_t2 $t1 \
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-using {a b} -on {te_and {te_equals a a} {te_equals -nocase b b}} \
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]
|
|
|
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te_dataset_ne_unordered $tn.28c [
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te_read_sql db "SELECT * FROM (t3 NATURAL LEFT JOIN t2) NATURAL JOIN t1"
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] [
|
|
te_read_sql db "SELECT * FROM t3 NATURAL LEFT JOIN (t2 NATURAL JOIN t1)"
|
|
]
|
|
|
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set t2_natural_join_t1 [te_tbljoin db t2 t1 -using {a b} \
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-using {a b} -on {te_and {te_equals a a} {te_equals -nocase b b}} \
|
|
]
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|
set t3 [te_read_tbl db t3]
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te_dataset_eq_unordered $tn.28d [
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te_read_sql db "SELECT * FROM t3 NATURAL LEFT JOIN (t2 NATURAL JOIN t1)"
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] [te_join $t3 $t2_natural_join_t1 \
|
|
-left -using {b} -on {te_equals -nocase b b} \
|
|
]
|
|
}
|
|
|
|
do_execsql_test e_select-2.2.0 {
|
|
CREATE TABLE t4(x TEXT COLLATE nocase);
|
|
CREATE TABLE t5(y INTEGER, z TEXT COLLATE binary);
|
|
|
|
INSERT INTO t4 VALUES('2.0');
|
|
INSERT INTO t4 VALUES('TWO');
|
|
INSERT INTO t5 VALUES(2, 'two');
|
|
} {}
|
|
|
|
# EVIDENCE-OF: R-55824-40976 A sub-select specified in the join-source
|
|
# following the FROM clause in a simple SELECT statement is handled as
|
|
# if it was a table containing the data returned by executing the
|
|
# sub-select statement.
|
|
#
|
|
# EVIDENCE-OF: R-42612-06757 Each column of the sub-select dataset
|
|
# inherits the collation sequence and affinity of the corresponding
|
|
# expression in the sub-select statement.
|
|
#
|
|
foreach {tn subselect select spec} {
|
|
1 "SELECT * FROM t2" "SELECT * FROM t1 JOIN %ss%"
|
|
{t1 %ss%}
|
|
|
|
2 "SELECT * FROM t2" "SELECT * FROM t1 JOIN %ss% AS x ON (t1.a=x.a)"
|
|
{t1 %ss% -on {te_equals 0 0}}
|
|
|
|
3 "SELECT * FROM t2" "SELECT * FROM %ss% AS x JOIN t1 ON (t1.a=x.a)"
|
|
{%ss% t1 -on {te_equals 0 0}}
|
|
|
|
4 "SELECT * FROM t1, t2" "SELECT * FROM %ss% AS x JOIN t3"
|
|
{%ss% t3}
|
|
|
|
5 "SELECT * FROM t1, t2" "SELECT * FROM %ss% NATURAL JOIN t3"
|
|
{%ss% t3 -using b -on {te_equals 1 0}}
|
|
|
|
6 "SELECT * FROM t1, t2" "SELECT * FROM t3 NATURAL JOIN %ss%"
|
|
{t3 %ss% -using b -on {te_equals -nocase 0 1}}
|
|
|
|
7 "SELECT * FROM t1, t2" "SELECT * FROM t3 NATURAL LEFT JOIN %ss%"
|
|
{t3 %ss% -left -using b -on {te_equals -nocase 0 1}}
|
|
|
|
8 "SELECT count(*) AS y FROM t4" "SELECT * FROM t5, %ss% USING (y)"
|
|
{t5 %ss% -using y -on {te_equals -affinity text 0 0}}
|
|
|
|
9 "SELECT count(*) AS y FROM t4" "SELECT * FROM %ss%, t5 USING (y)"
|
|
{%ss% t5 -using y -on {te_equals -affinity text 0 0}}
|
|
|
|
10 "SELECT x AS y FROM t4" "SELECT * FROM %ss% JOIN t5 USING (y)"
|
|
{%ss% t5 -using y -on {te_equals -nocase -affinity integer 0 0}}
|
|
|
|
11 "SELECT x AS y FROM t4" "SELECT * FROM t5 JOIN %ss% USING (y)"
|
|
{t5 %ss% -using y -on {te_equals -nocase -affinity integer 0 0}}
|
|
|
|
12 "SELECT y AS x FROM t5" "SELECT * FROM %ss% JOIN t4 USING (x)"
|
|
{%ss% t4 -using x -on {te_equals -nocase -affinity integer 0 0}}
|
|
|
|
13 "SELECT y AS x FROM t5" "SELECT * FROM t4 JOIN %ss% USING (x)"
|
|
{t4 %ss% -using x -on {te_equals -nocase -affinity integer 0 0}}
|
|
|
|
14 "SELECT +y AS x FROM t5" "SELECT * FROM %ss% JOIN t4 USING (x)"
|
|
{%ss% t4 -using x -on {te_equals -nocase -affinity text 0 0}}
|
|
|
|
15 "SELECT +y AS x FROM t5" "SELECT * FROM t4 JOIN %ss% USING (x)"
|
|
{t4 %ss% -using x -on {te_equals -nocase -affinity text 0 0}}
|
|
} {
|
|
|
|
# Create a temporary table named %ss% containing the data returned by
|
|
# the sub-select. Then have the [te_tbljoin] proc use this table to
|
|
# compute the expected results of the $select query. Drop the temporary
|
|
# table before continuing.
|
|
#
|
|
execsql "CREATE TEMP TABLE '%ss%' AS $subselect"
|
|
set te [eval te_tbljoin db $spec]
|
|
execsql "DROP TABLE '%ss%'"
|
|
|
|
# Check that the actual data returned by the $select query is the same
|
|
# as the expected data calculated using [te_tbljoin] above.
|
|
#
|
|
te_dataset_eq_unordered e_select-2.2.1.$tn [
|
|
te_read_sql db [string map [list %ss% "($subselect)"] $select]
|
|
] $te
|
|
}
|
|
|
|
finish_test
|