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-- source include/have_ndb.inc --disable_warnings drop table if exists t1, t2, t3, t4; --enable_warnings CREATE TABLE t10( K INT NOT NULL AUTO_INCREMENT, I INT, J INT, PRIMARY KEY(K), KEY(I,J), UNIQUE KEY(J,K) ) ENGINE=ndbcluster partition by key (K) partitions 1; INSERT INTO t10(I,J) VALUES (1,1),(2,2),(3,3),(4,4),(5,5),(6,6),(7,7),(8,8),(9,9),(0,0); CREATE TABLE t100 LIKE t10; INSERT INTO t100(I,J) SELECT X.J, X.J+(10*Y.J) FROM t10 AS X,t10 AS Y; CREATE TABLE t10000 LIKE t10; # Insert into t10000 into myisam and alter to ndb # not to exhaust MaxNoOfConcurrentOperations ALTER TABLE t10000 ENGINE=MYISAM; INSERT INTO t10000(I,J) SELECT X.J, X.J+(100*Y.J) FROM t100 AS X,t100 AS Y; ALTER TABLE t10000 ENGINE=NDBCLUSTER; ANALYZE TABLE t10,t100,t10000; SELECT COUNT(*) FROM t10; SELECT COUNT(*) FROM t100; SELECT COUNT(*) FROM t10000; # # Bug #59517: Incorrect detection of single row access in # ha_ndbcluster::records_in_range() # Expect a single row (or const) when PK is excact specified EXPLAIN SELECT * FROM t10000 WHERE k = 42; # All queries below should *not* return a single row EXPLAIN SELECT * FROM t10000 WHERE k >= 42 and k < 10000; EXPLAIN SELECT * FROM t10000 WHERE k BETWEEN 42 AND 10000; EXPLAIN SELECT * FROM t10000 WHERE k < 42; EXPLAIN SELECT * FROM t10000 WHERE k > 42; # # Bug #59519 ::set_rec_per_key() assumes ORDER_INDEX to be unique # # 'REF' join of 'Y' should match >1 rows EXPLAIN SELECT * FROM t10000 AS x JOIN t10000 AS y ON y.i=x.i AND y.j = x.i; # # Bug #11804277: INCORRECT INDEX MAY BE SELECTED DUE TO INSUFFICIENT # STATISTICS FROM CLUSTER # # Open bounded range should return 10% of #rows in table EXPLAIN SELECT * FROM t100 WHERE k < 42; EXPLAIN SELECT * FROM t100 WHERE k > 42; EXPLAIN SELECT * FROM t10000 WHERE k < 42; EXPLAIN SELECT * FROM t10000 WHERE k > 42; #Closed bounded range should return 5% of #rows in table EXPLAIN SELECT * FROM t100 WHERE k BETWEEN 42 AND 10000; EXPLAIN SELECT * FROM t10000 WHERE k BETWEEN 42 AND 10000; #EQ-range selectivity depends on # - key length specified # - #rows in table. # - unique/non-unique index # - min 2% selectivity # # Possibly combined with open/closed ranges as # above which further improves selectivity # EXPLAIN SELECT * FROM t10000 WHERE I = 0; EXPLAIN SELECT * FROM t10000 WHERE J = 0; EXPLAIN SELECT * FROM t10000 WHERE I = 0 AND J = 0; EXPLAIN SELECT * FROM t10000 WHERE I = 0; EXPLAIN SELECT * FROM t10000 WHERE I = 0 AND J > 1; EXPLAIN SELECT * FROM t10000 WHERE I = 0 AND J < 1; EXPLAIN SELECT * FROM t10000 WHERE I = 0 AND J BETWEEN 1 AND 10; EXPLAIN SELECT * FROM t10000 WHERE I = 0 AND J = 1; EXPLAIN SELECT * FROM t10000 WHERE J = 0; EXPLAIN SELECT * FROM t10000 WHERE J = 0 AND K > 1; EXPLAIN SELECT * FROM t10000 WHERE J = 0 AND K < 1; EXPLAIN SELECT * FROM t10000 WHERE J = 0 AND K BETWEEN 1 AND 10; EXPLAIN SELECT * FROM t10000 WHERE J = 0 AND K = 1; ## Verify selection of 'best' index ## (The one of index I/J being EQ) EXPLAIN SELECT * FROM t10000 WHERE I = 0 AND J <> 1; EXPLAIN SELECT * FROM t10000 WHERE I <> 0 AND J = 1; EXPLAIN SELECT * FROM t10000 WHERE I <> 0 AND J <> 1; EXPLAIN SELECT * FROM t10000 WHERE J <> 1 AND I = 0; EXPLAIN SELECT * FROM t10000 WHERE J = 1 AND I <> 0; EXPLAIN SELECT * FROM t10000 WHERE J <> 1 AND I <> 0; DROP TABLE t10,t100,t10000; --echo End of 5.1 tests