sql优化案例(优化逻辑,with改写)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 | 查询语句大量阻塞, event 为latch:buffer cache chain(该语句属于热链)。 查询结果跑不出来。 explain plan for SELECT K.IDX_CODE, NVL(AA.COUNT, 0) VALUE FROM K_AMR_CONFIG K LEFT JOIN (SELECT F.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT F.TG_ID) COUNT, (SELECT C.IDX_CODE FROM K_AMR_CONFIG C WHERE C.TAG_NO = F.TAG_NO AND C.TAG_TYPE = '02' ) IDX_CODE FROM K_AMR_EXCEP_FLOW F, (SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM K_ID_G_TG T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND B.BUSS_NO = A.STAFF_NO AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' ) F1 WHERE F1.TG_ID = F.TG_ID AND F1.ORG_NO = F.GDS_NO AND F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO IN ( 'TagPBGZ' , 'TagPBZZ' , 'TagPBYZBPH' , 'TagPBDDY' ) AND SUBSTR(REPLACE(FIRST_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) AND F1.AUTH_USER_NO = :B1 GROUP BY F1.AUTH_USER_NO, F.GDS_NO, F.TAG_NO UNION ALL SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.TG_ID) COUNT, 'PD0009' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID FROM K_AMR_GBTD_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagPBGZTD' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID HAVING COUNT(DISTINCT F.MSG_ID) >= 2) FF, (SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM K_ID_G_TG T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND B.BUSS_NO = A.STAFF_NO AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' ) F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO AND F1.AUTH_USER_NO = :B1 GROUP BY F1.AUTH_USER_NO, FF.GDS_NO UNION ALL SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.DEVICE_NAME) COUNT, 'PD0012' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID, DEVICE_NAME, COUNT(DISTINCT F.MSG_ID) CNT FROM K_AMR_LBTZ_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagLBTZ' AND SUBSTR(REPLACE(FIRST_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID, DEVICE_NAME HAVING COUNT(DISTINCT F.MSG_ID) >= 3) FF, (SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM K_ID_G_TG T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND B.BUSS_NO = A.STAFF_NO AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' ) F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO AND F1.AUTH_USER_NO = :B1 GROUP BY F1.AUTH_USER_NO, FF.GDS_NO UNION ALL SELECT F.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT F.MSG_ID) COUNT, 'PD0013' IDX_CODE FROM K_AMR_GBTD_FLOW F, (SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM K_ID_G_TG T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND B.BUSS_NO = A.STAFF_NO AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' ) F1 WHERE F1.TG_ID = F.TG_ID AND F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagZBBS' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) AND F1.AUTH_USER_NO = :B1 GROUP BY F1.AUTH_USER_NO, F.GDS_NO UNION ALL SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.DEVICE_NAME) COUNT, 'PD0014' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID, DEVICE_NAME, COUNT(DISTINCT F.MSG_ID) CNT FROM K_AMR_GBTD_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagZBBS' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID, DEVICE_NAME HAVING COUNT(DISTINCT F.MSG_ID) >= 2) FF, (SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM K_ID_G_TG T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND B.BUSS_NO = A.STAFF_NO AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' ) F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO AND F1.AUTH_USER_NO = :B1 GROUP BY F1.AUTH_USER_NO, FF.GDS_NO) AA ON AA.IDX_CODE = K.IDX_CODE WHERE K.IDX_CODE IN ( 'PD0002' , 'PD0004' , 'PD0006' , 'PD0008' , 'PD0009' , 'PD0012' , 'PD0013' , 'PD0014' ); Plan hash value: 852542323 ------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 8 | 256 | 84261 (1)| 00:16:52 | |* 1 | HASH JOIN OUTER | | 8 | 256 | 84261 (1)| 00:16:52 | | 2 | INLIST ITERATOR | | | | | | |* 3 | INDEX RANGE SCAN | K_AMR_CONFIG_IDX_CODE | 8 | 56 | 1 (0)| 00:00:01 | |* 4 | VIEW | | 5 | 125 | 84260 (1)| 00:16:52 | | 5 | UNION-ALL | | | | | | |* 6 | TABLE ACCESS BY INDEX ROWID | K_AMR_CONFIG | 1 | 19 | 1 (0)| 00:00:01 | |* 7 | INDEX RANGE SCAN | K_AMR_CONFIG_TAG_NO | 2 | | 1 (0)| 00:00:01 | | 8 | SORT GROUP BY | | 1 | 132 | 4012 (1)| 00:00:49 | | 9 | NESTED LOOPS | | 1 | 132 | 4011 (1)| 00:00:49 | | 10 | NESTED LOOPS | | 9 | 132 | 4011 (1)| 00:00:49 | |* 11 | HASH JOIN | | 1 | 121 | 4010 (1)| 00:00:49 | | 12 | INLIST ITERATOR | | | | | | |* 13 | TABLE ACCESS BY INDEX ROWID | K_AMR_EXCEP_FLOW | 28 | 1120 | 144 (0)| 00:00:02 | |* 14 | INDEX RANGE SCAN | IDX_TAG_NO | 9897 | | 7 (0)| 00:00:01 | |* 15 | TABLE ACCESS BY INDEX ROWID | K_IC_DIM_VALUE | 1 | 37 | 1 (0)| 00:00:01 | |* 16 | INDEX RANGE SCAN | IDX_K_IC_DIM_VALUE_N2 | 1 | | 1 (0)| 00:00:01 | | 17 | MERGE JOIN CARTESIAN | | 60220 | 4763K| 3866 (1)| 00:00:47 | | 18 | NESTED LOOPS | | 1 | 41 | 2 (0)| 00:00:01 | | 19 | NESTED LOOPS | | 2 | 41 | 2 (0)| 00:00:01 | |* 20 | TABLE ACCESS BY INDEX ROWID | K_ID_STAFF | 1 | 21 | 1 (0)| 00:00:01 | |* 21 | INDEX RANGE SCAN | IDX_K_ID_STAFF_N4 | 1 | | 1 (0)| 00:00:01 | |* 22 | INDEX RANGE SCAN | IDX_BUSS_NO | 2 | | 1 (0)| 00:00:01 | |* 23 | TABLE ACCESS BY INDEX ROWID | K_ID_GRID_BUSS | 1 | 20 | 1 (0)| 00:00:01 | | 24 | BUFFER SORT | | 262K| 10M| 3865 (1)| 00:00:47 | |* 25 | VIEW | | 262K| 10M| 3864 (1)| 00:00:47 | |* 26 | FILTER | | | | | | |* 27 | TABLE ACCESS FULL | G_TG | 262K| 6146K| 3864 (1)| 00:00:47 | |* 28 | INDEX RANGE SCAN | IDX_GR_TG_GR_ID | 9 | | 1 (0)| 00:00:01 | |* 29 | TABLE ACCESS BY INDEX ROWID | K_ID_GR_TG_RELA | 1 | 11 | 1 (0)| 00:00:01 | | 30 | HASH GROUP BY | | 1 | 31 | 62111 (1)| 00:12:26 | | 31 | VIEW | VM_NWVW_2 | 1 | 31 | 62110 (1)| 00:12:26 | | 32 | HASH GROUP BY | | 1 | 97 | 62110 (1)| 00:12:26 | | 33 | NESTED LOOPS | | 1 | 97 | 62109 (1)| 00:12:26 | | 34 | NESTED LOOPS | | 9 | 97 | 62109 (1)| 00:12:26 | |* 35 | HASH JOIN | | 1 | 86 | 62108 (1)| 00:12:26 | | 36 | VIEW | | 47 | 235 | 58243 (1)| 00:11:39 | |* 37 | FILTER | | | | | | | 38 | HASH GROUP BY | | 47 | 6345 | 58243 (1)| 00:11:39 | | 39 | VIEW | VM_NWVW_1 | 929 | 122K| 58243 (1)| 00:11:39 | | 40 | HASH GROUP BY | | 929 | 67817 | 58243 (1)| 00:11:39 | |* 41 | TABLE ACCESS BY INDEX ROWID| K_AMR_GBTD_FLOW | 929 | 67817 | 58242 (1)| 00:11:39 | |* 42 | INDEX RANGE SCAN | IDX_TAG_NO1 | 5278K| | 3107 (1)| 00:00:38 | |* 43 | TABLE ACCESS BY INDEX ROWID | K_IC_DIM_VALUE | 1 | 37 | 1 (0)| 00:00:01 | |* 44 | INDEX RANGE SCAN | IDX_K_IC_DIM_VALUE_N2 | 1 | | 1 (0)| 00:00:01 | | 45 | MERGE JOIN CARTESIAN | | 60220 | 4763K| 3865 (1)| 00:00:47 | | 46 | NESTED LOOPS | | 1 | 41 | 2 (0)| 00:00:01 | | 47 | NESTED LOOPS | | 2 | 41 | 2 (0)| 00:00:01 | |* 48 | TABLE ACCESS BY INDEX ROWID | K_ID_STAFF | 1 | 21 | 1 (0)| 00:00:01 | |* 49 | INDEX RANGE SCAN | IDX_K_ID_STAFF_N4 | 1 | | 1 (0)| 00:00:01 | |* 50 | INDEX RANGE SCAN | IDX_BUSS_NO | 2 | | 1 (0)| 00:00:01 | |* 51 | TABLE ACCESS BY INDEX ROWID | K_ID_GRID_BUSS | 1 | 20 | 1 (0)| 00:00:01 | | 52 | BUFFER SORT | | 262K| 10M| 3864 (1)| 00:00:47 | |* 53 | VIEW | | 262K| 10M| 3863 (1)| 00:00:47 | |* 54 | FILTER | | | | | | |* 55 | TABLE ACCESS FULL | G_TG | 262K| 6146K| 3863 (1)| 00:00:47 | |* 56 | INDEX RANGE SCAN | IDX_GR_TG_GR_ID | 9 | | 1 (0)| 00:00:01 | |* 57 | TABLE ACCESS BY INDEX ROWID | K_ID_GR_TG_RELA | 1 | 11 | 1 (0)| 00:00:01 | | 58 | HASH GROUP BY | | 1 | 150 | 11901 (1)| 00:02:23 | | 59 | VIEW | VM_NWVW_4 | 1 | 150 | 11900 (1)| 00:02:23 | | 60 | HASH GROUP BY | | 1 | 139 | 11900 (1)| 00:02:23 | | 61 | NESTED LOOPS | | 1 | 139 | 11899 (1)| 00:02:23 | | 62 | NESTED LOOPS | | 9 | 139 | 11899 (1)| 00:02:23 | |* 63 | HASH JOIN | | 1 | 128 | 11898 (1)| 00:02:23 | | 64 | VIEW | | 267 | 12549 | 8033 (1)| 00:01:37 | |* 65 | FILTER | | | | | | | 66 | HASH GROUP BY | | 267 | 47259 | 8033 (1)| 00:01:37 | | 67 | VIEW | VM_NWVW_3 | 5333 | 921K| 8033 (1)| 00:01:37 | | 68 | HASH GROUP BY | | 5333 | 572K| 8033 (1)| 00:01:37 | |* 69 | TABLE ACCESS FULL | K_AMR_LBTZ_FLOW | 5333 | 572K| 8032 (1)| 00:01:37 | |* 70 | TABLE ACCESS BY INDEX ROWID | K_IC_DIM_VALUE | 1 | 37 | 1 (0)| 00:00:01 | |* 71 | INDEX RANGE SCAN | IDX_K_IC_DIM_VALUE_N2 | 1 | | 1 (0)| 00:00:01 | | 72 | MERGE JOIN CARTESIAN | | 60220 | 4763K| 3865 (1)| 00:00:47 | | 73 | NESTED LOOPS | | 1 | 41 | 2 (0)| 00:00:01 | | 74 | NESTED LOOPS | | 2 | 41 | 2 (0)| 00:00:01 | |* 75 | TABLE ACCESS BY INDEX ROWID | K_ID_STAFF | 1 | 21 | 1 (0)| 00:00:01 | |* 76 | INDEX RANGE SCAN | IDX_K_ID_STAFF_N4 | 1 | | 1 (0)| 00:00:01 | |* 77 | INDEX RANGE SCAN | IDX_BUSS_NO | 2 | | 1 (0)| 00:00:01 | |* 78 | TABLE ACCESS BY INDEX ROWID | K_ID_GRID_BUSS | 1 | 20 | 1 (0)| 00:00:01 | | 79 | BUFFER SORT | | 262K| 10M| 3864 (1)| 00:00:47 | |* 80 | VIEW | | 262K| 10M| 3863 (1)| 00:00:47 | |* 81 | FILTER | | | | | | |* 82 | TABLE ACCESS FULL | G_TG | 262K| 6146K| 3863 (1)| 00:00:47 | |* 83 | INDEX RANGE SCAN | IDX_GR_TG_GR_ID | 9 | | 1 (0)| 00:00:01 | |* 84 | TABLE ACCESS BY INDEX ROWID | K_ID_GR_TG_RELA | 1 | 11 | 1 (0)| 00:00:01 | | 85 | HASH GROUP BY | | 1 | 143 | 1187 (1)| 00:00:15 | | 86 | VIEW | VM_NWVW_5 | 1 | 143 | 1186 (1)| 00:00:15 | | 87 | HASH GROUP BY | | 1 | 149 | 1186 (1)| 00:00:15 | |* 88 | FILTER | | | | | | |* 89 | FILTER | | | | | | |* 90 | HASH JOIN | | 1 | 149 | 1184 (1)| 00:00:15 | | 91 | NESTED LOOPS | | 1 | 76 | 4 (0)| 00:00:01 | | 92 | NESTED LOOPS | | 1 | 76 | 4 (0)| 00:00:01 | | 93 | NESTED LOOPS | | 1 | 52 | 3 (0)| 00:00:01 | | 94 | NESTED LOOPS | | 1 | 41 | 2 (0)| 00:00:01 | |* 95 | TABLE ACCESS BY INDEX ROWID | K_ID_STAFF | 1 | 21 | 1 (0)| 00:00:01 | |* 96 | INDEX RANGE SCAN | IDX_K_ID_STAFF_N4 | 1 | | 1 (0)| 00:00:01 | |* 97 | TABLE ACCESS BY INDEX ROWID | K_ID_GRID_BUSS | 1 | 20 | 1 (0)| 00:00:01 | |* 98 | INDEX RANGE SCAN | IDX_BUSS_NO | 2 | | 1 (0)| 00:00:01 | |* 99 | TABLE ACCESS BY INDEX ROWID | K_ID_GR_TG_RELA | 1 | 11 | 1 (0)| 00:00:01 | |*100 | INDEX RANGE SCAN | IDX_GR_TG_GR_ID | 9 | | 1 (0)| 00:00:01 | |*101 | INDEX RANGE SCAN | IDX_G_TG_TG_ID | 1 | | 1 (0)| 00:00:01 | |*102 | TABLE ACCESS BY INDEX ROWID | G_TG | 1 | 24 | 1 (0)| 00:00:01 | |*103 | TABLE ACCESS BY INDEX ROWID | K_AMR_GBTD_FLOW | 19 | 1387 | 1180 (1)| 00:00:15 | |*104 | INDEX RANGE SCAN | IDX_TAG_NO1 | 106K| | 63 (0)| 00:00:01 | |*105 | TABLE ACCESS BY INDEX ROWID | K_IC_DIM_VALUE | 1 | 37 | 1 (0)| 00:00:01 | |*106 | INDEX RANGE SCAN | IDX_K_IC_DIM_VALUE_N2 | 1 | | 1 (0)| 00:00:01 | | 107 | HASH GROUP BY | | 1 | 143 | 5049 (1)| 00:01:01 | | 108 | VIEW | VM_NWVW_7 | 1 | 143 | 5048 (1)| 00:01:01 | | 109 | HASH GROUP BY | | 1 | 131 | 5048 (1)| 00:01:01 | | 110 | NESTED LOOPS | | 1 | 131 | 5047 (1)| 00:01:01 | | 111 | NESTED LOOPS | | 9 | 131 | 5047 (1)| 00:01:01 | |*112 | HASH JOIN | | 1 | 120 | 5046 (1)| 00:01:01 | | 113 | VIEW | | 1 | 39 | 1181 (1)| 00:00:15 | |*114 | FILTER | | | | | | | 115 | HASH GROUP BY | | 1 | 169 | 1181 (1)| 00:00:15 | | 116 | VIEW | VM_NWVW_6 | 19 | 3211 | 1181 (1)| 00:00:15 | | 117 | HASH GROUP BY | | 19 | 2033 | 1181 (1)| 00:00:15 | |*118 | TABLE ACCESS BY INDEX ROWID| K_AMR_GBTD_FLOW | 19 | 2033 | 1180 (1)| 00:00:15 | |*119 | INDEX RANGE SCAN | IDX_TAG_NO1 | 106K| | 63 (0)| 00:00:01 | |*120 | TABLE ACCESS BY INDEX ROWID | K_IC_DIM_VALUE | 1 | 37 | 1 (0)| 00:00:01 | |*121 | INDEX RANGE SCAN | IDX_K_IC_DIM_VALUE_N2 | 1 | | 1 (0)| 00:00:01 | | 122 | MERGE JOIN CARTESIAN | | 60220 | 4763K| 3865 (1)| 00:00:47 | | 123 | NESTED LOOPS | | 1 | 41 | 2 (0)| 00:00:01 | | 124 | NESTED LOOPS | | 2 | 41 | 2 (0)| 00:00:01 | |*125 | TABLE ACCESS BY INDEX ROWID | K_ID_STAFF | 1 | 21 | 1 (0)| 00:00:01 | |*126 | INDEX RANGE SCAN | IDX_K_ID_STAFF_N4 | 1 | | 1 (0)| 00:00:01 | |*127 | INDEX RANGE SCAN | IDX_BUSS_NO | 2 | | 1 (0)| 00:00:01 | |*128 | TABLE ACCESS BY INDEX ROWID | K_ID_GRID_BUSS | 1 | 20 | 1 (0)| 00:00:01 | | 129 | BUFFER SORT | | 262K| 10M| 3864 (1)| 00:00:47 | |*130 | VIEW | | 262K| 10M| 3863 (1)| 00:00:47 | |*131 | FILTER | | | | | | |*132 | TABLE ACCESS FULL | G_TG | 262K| 6146K| 3863 (1)| 00:00:47 | |*133 | INDEX RANGE SCAN | IDX_GR_TG_GR_ID | 9 | | 1 (0)| 00:00:01 | |*134 | TABLE ACCESS BY INDEX ROWID | K_ID_GR_TG_RELA | 1 | 11 | 1 (0)| 00:00:01 | ------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - access( "AA" . "IDX_CODE" (+)= "K" . "IDX_CODE" ) 3 - access( "K" . "IDX_CODE" = 'PD0002' OR "K" . "IDX_CODE" = 'PD0004' OR "K" . "IDX_CODE" = 'PD0006' OR "K" . "IDX_CODE" = 'PD0008' OR "K" . "IDX_CODE" = 'PD0009' OR "K" . "IDX_CODE" = 'PD0012' OR "K" . "IDX_CODE" = 'PD0013' OR "K" . "IDX_CODE" = 'PD0014' ) 4 - filter( "AA" . "IDX_CODE" (+)= 'PD0002' OR "AA" . "IDX_CODE" (+)= 'PD0004' OR "AA" . "IDX_CODE" (+)= 'PD0006' OR "AA" . "IDX_CODE" (+)= 'PD0008' OR "AA" . "IDX_CODE" (+)= 'PD0009' OR "AA" . "IDX_CODE" (+)= 'PD0012' OR "AA" . "IDX_CODE" (+)= 'PD0013' OR "AA" . "IDX_CODE" (+)= 'PD0014' ) 6 - filter( "C" . "TAG_TYPE" = '02' ) 7 - access( "C" . "TAG_NO" =:B1) 11 - access( "TG_ID" =TO_NUMBER( "F" . "TG_ID" ) AND "ORG_NO" = "F" . "GDS_NO" ) 13 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND SUBSTR(REPLACE( "FIRST_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 14 - access( "F" . "TAG_NO" = 'TagPBDDY' OR "F" . "TAG_NO" = 'TagPBGZ' OR "F" . "TAG_NO" = 'TagPBYZBPH' OR "F" . "TAG_NO" = 'TagPBZZ' ) 15 - filter( "DIM_CODE" = 'dept' ) 16 - access( "DIM_VALUE" =:B1) 20 - filter( "A" . "STAFF_NO" <> '无' AND "A" . "DATA_OPER_TYPE" <> 'D' AND "A" . "STAFF_NO" IS NOT NULL) 21 - access( "A" . "AUTH_USER_NO" =:B1) filter( "A" . "AUTH_USER_NO" <> '无' AND "A" . "AUTH_USER_NO" IS NOT NULL) 22 - access( "B" . "BUSS_NO" = "A" . "STAFF_NO" ) filter( "B" . "BUSS_NO" <> '无' ) 23 - filter( "B" . "DATA_OPER_TYPE" <> 'D' ) 25 - filter( "ORG_NO" IS NOT NULL) 26 - filter( '无' <>:B1) 27 - filter( "A" . "PUB_PRIV_FLAG" = '01' AND "RUN_STATUS_CODE" = '01' ) 28 - access( "B" . "GR_ID" = "R" . "GR_ID" ) filter( "R" . "GR_ID" IS NOT NULL) 29 - filter( "R" . "DATA_OPER_TYPE" <> 'D' AND "R" . "TG_ID" = "TG_ID" ) 35 - access( "TG_ID" =TO_NUMBER( "FF" . "TG_ID" ) AND "ORG_NO" = "FF" . "GDS_NO" ) 37 - filter(COUNT( "$vm_col_1" )>=2) 41 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND SUBSTR(REPLACE( "MAKE_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 42 - access( "F" . "TAG_NO" = 'TagPBGZTD' ) 43 - filter( "DIM_CODE" = 'dept' ) 44 - access( "DIM_VALUE" =:B1) 48 - filter( "A" . "STAFF_NO" <> '无' AND "A" . "DATA_OPER_TYPE" <> 'D' AND "A" . "STAFF_NO" IS NOT NULL) 49 - access( "A" . "AUTH_USER_NO" =:B1) filter( "A" . "AUTH_USER_NO" <> '无' AND "A" . "AUTH_USER_NO" IS NOT NULL) 50 - access( "B" . "BUSS_NO" = "A" . "STAFF_NO" ) filter( "B" . "BUSS_NO" <> '无' ) 51 - filter( "B" . "DATA_OPER_TYPE" <> 'D' ) 53 - filter( "ORG_NO" IS NOT NULL) 54 - filter( '无' <>:B1) 55 - filter( "A" . "PUB_PRIV_FLAG" = '01' AND "RUN_STATUS_CODE" = '01' ) 56 - access( "B" . "GR_ID" = "R" . "GR_ID" ) filter( "R" . "GR_ID" IS NOT NULL) 57 - filter( "R" . "DATA_OPER_TYPE" <> 'D' AND "R" . "TG_ID" = "TG_ID" ) 63 - access( "TG_ID" =TO_NUMBER( "FF" . "TG_ID" ) AND "ORG_NO" = "FF" . "GDS_NO" ) 65 - filter(COUNT( "$vm_col_1" )>=3) 69 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND SUBSTR(REPLACE( "FIRST_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' ) AND "F" . "TAG_NO" = 'TagLBTZ' ) 70 - filter( "DIM_CODE" = 'dept' ) 71 - access( "DIM_VALUE" =:B1) 75 - filter( "A" . "STAFF_NO" <> '无' AND "A" . "DATA_OPER_TYPE" <> 'D' AND "A" . "STAFF_NO" IS NOT NULL) 76 - access( "A" . "AUTH_USER_NO" =:B1) filter( "A" . "AUTH_USER_NO" <> '无' AND "A" . "AUTH_USER_NO" IS NOT NULL) 77 - access( "B" . "BUSS_NO" = "A" . "STAFF_NO" ) filter( "B" . "BUSS_NO" <> '无' ) 78 - filter( "B" . "DATA_OPER_TYPE" <> 'D' ) 80 - filter( "ORG_NO" IS NOT NULL) 81 - filter( '无' <>:B1) 82 - filter( "A" . "PUB_PRIV_FLAG" = '01' AND "RUN_STATUS_CODE" = '01' ) 83 - access( "B" . "GR_ID" = "R" . "GR_ID" ) filter( "R" . "GR_ID" IS NOT NULL) 84 - filter( "R" . "DATA_OPER_TYPE" <> 'D' AND "R" . "TG_ID" = "TG_ID" ) 88 - filter( (SELECT "P_DIM_ID" FROM CPSS. "K_IC_DIM_VALUE" "K_IC_DIM_VALUE" WHERE "DIM_VALUE" =:B1 AND "DIM_CODE" = 'dept' ) IS NOT NULL) 89 - filter( '无' <>:B1) 90 - access( "TG_ID" =TO_NUMBER( "F" . "TG_ID" )) 95 - filter( "A" . "STAFF_NO" <> '无' AND "A" . "DATA_OPER_TYPE" <> 'D' AND "A" . "STAFF_NO" IS NOT NULL) 96 - access( "A" . "AUTH_USER_NO" =:B1) filter( "A" . "AUTH_USER_NO" <> '无' AND "A" . "AUTH_USER_NO" IS NOT NULL) 97 - filter( "B" . "DATA_OPER_TYPE" <> 'D' ) 98 - access( "B" . "BUSS_NO" = "A" . "STAFF_NO" ) filter( "B" . "BUSS_NO" <> '无' ) 99 - filter( "R" . "DATA_OPER_TYPE" <> 'D' ) 100 - access( "B" . "GR_ID" = "R" . "GR_ID" ) filter( "R" . "GR_ID" IS NOT NULL) 101 - access( "R" . "TG_ID" = "TG_ID" ) 102 - filter( "A" . "PUB_PRIV_FLAG" = '01' AND "RUN_STATUS_CODE" = '01' ) 103 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND SUBSTR(REPLACE( "MAKE_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 104 - access( "F" . "TAG_NO" = 'TagZBBS' ) 105 - filter( "DIM_CODE" = 'dept' ) 106 - access( "DIM_VALUE" =:B1) 112 - access( "TG_ID" =TO_NUMBER( "FF" . "TG_ID" ) AND "ORG_NO" = "FF" . "GDS_NO" ) 114 - filter(COUNT( "$vm_col_1" )>=2) 118 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND SUBSTR(REPLACE( "MAKE_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 119 - access( "F" . "TAG_NO" = 'TagZBBS' ) 120 - filter( "DIM_CODE" = 'dept' ) 121 - access( "DIM_VALUE" =:B1) 125 - filter( "A" . "STAFF_NO" <> '无' AND "A" . "DATA_OPER_TYPE" <> 'D' AND "A" . "STAFF_NO" IS NOT NULL) 126 - access( "A" . "AUTH_USER_NO" =:B1) filter( "A" . "AUTH_USER_NO" <> '无' AND "A" . "AUTH_USER_NO" IS NOT NULL) 127 - access( "B" . "BUSS_NO" = "A" . "STAFF_NO" ) filter( "B" . "BUSS_NO" <> '无' ) 128 - filter( "B" . "DATA_OPER_TYPE" <> 'D' ) 130 - filter( "ORG_NO" IS NOT NULL) 131 - filter( '无' <>:B1) 132 - filter( "A" . "PUB_PRIV_FLAG" = '01' AND "RUN_STATUS_CODE" = '01' ) 133 - access( "B" . "GR_ID" = "R" . "GR_ID" ) filter( "R" . "GR_ID" IS NOT NULL) 134 - filter( "R" . "DATA_OPER_TYPE" <> 'D' AND "R" . "TG_ID" = "TG_ID" ) 仔细阅读sql我们发现该sql有一个重复出现的查询体 (SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM K_ID_G_TG T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND B.BUSS_NO = A.STAFF_NO AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' ) F1 共出现了5次。 对于这类重复出现的查询体,我们通常用with进行改写 从执行计划看到访问G_TG表,才发现K_ID_G_TG表对应的是一个视图。 create or replace view k_id_g_tg as select "TG_ID" , "ORG_NO" , "TG_NO" , "TG_NAME" , "TG_CAP" , "INST_ADDR" , "CHG_DATE" , "PUB_PRIV_FLAG" , "RUN_STATUS_CODE" , "REMARKS" , "AREA_TYPE" , "PF" , "IS_EXCE_TG" , "RATE_TIME" , "DWDM" , "DATA_TIME" from ( select tg_id, ( select p_dim_id from k_ic_dim_value where dim_value = a.org_no and dim_code = 'dept' ) org_no, tg_no, tg_name, tg_cap, inst_addr, chg_date, pub_priv_flag, run_status_code, remark remarks, area_type, pf, ( select is_exce_tg from k_id_g_tg_jp where tg_id=a.tg_id and rownum=1) is_exce_tg、, ( select rate_time from k_id_g_tg_jp where tg_id=a.tg_id and rownum=1) rate_time, org_no dwdm, sysdate data_time from g_tg a where a.pub_priv_flag = '01' and run_status_code = '01' ) where org_no is not null ; 查看视图,视图中出现的org_no、is_exce_tg、rate_time字段,我们根本用不上,查询基表足矣。 所以with可以改写如下: with F1 as ( SELECT T.ORG_NO, T.TG_ID, A.AUTH_USER_NO FROM g_tg T, K_ID_GR_TG_RELA R, K_ID_GRID_BUSS B, K_ID_STAFF A WHERE R.DATA_OPER_TYPE != 'D' AND R.TG_ID = T.TG_ID AND B.GR_ID = R.GR_ID AND B.DATA_OPER_TYPE != 'D' AND A.DATA_OPER_TYPE != 'D' AND A.STAFF_NO <> '无' AND A.STAFF_NO IS NOT NULL AND B.BUSS_NO = A.STAFF_NO AND A.AUTH_USER_NO IS NOT NULL AND A.AUTH_USER_NO != '无' AND A.AUTH_USER_NO = 'P6xxxxxxx1' AND T.pub_priv_flag = '01' and T.run_status_code = '01' ) SELECT K.IDX_CODE, NVL(AA.COUNT, 0) VALUE FROM K_AMR_CONFIG K LEFT JOIN ( SELECT F.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT F.TG_ID) COUNT, (SELECT C.IDX_CODE FROM K_AMR_CONFIG C WHERE C.TAG_NO = F.TAG_NO AND C.TAG_TYPE = '02' ) IDX_CODE FROM K_AMR_EXCEP_FLOW F, F1 WHERE F1.TG_ID = F.TG_ID AND F1.ORG_NO = F.GDS_NO AND F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO IN ( 'TagPBGZ' , 'TagPBZZ' , 'TagPBYZBPH' , 'TagPBDDY' ) AND SUBSTR(REPLACE(FIRST_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F1.AUTH_USER_NO, F.GDS_NO, F.TAG_NO UNION ALL SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.TG_ID) COUNT, 'PD0009' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID FROM K_AMR_GBTD_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagPBGZTD' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID HAVING COUNT(DISTINCT F.MSG_ID) >= 2) FF, F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO GROUP BY F1.AUTH_USER_NO, FF.GDS_NO UNION ALL SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.DEVICE_NAME) COUNT, 'PD0012' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID, DEVICE_NAME, COUNT(DISTINCT F.MSG_ID) CNT FROM K_AMR_LBTZ_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagLBTZ' AND SUBSTR(REPLACE(FIRST_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID, DEVICE_NAME HAVING COUNT(DISTINCT F.MSG_ID) >= 3) FF, F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO GROUP BY F1.AUTH_USER_NO, FF.GDS_NO UNION ALL SELECT F.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT F.MSG_ID) COUNT, 'PD0013' IDX_CODE FROM K_AMR_GBTD_FLOW F, F1 WHERE F1.TG_ID = F.TG_ID AND F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagZBBS' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F1.AUTH_USER_NO, F.GDS_NO UNION ALL SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.DEVICE_NAME) COUNT, 'PD0014' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID, DEVICE_NAME, COUNT(DISTINCT F.MSG_ID) CNT FROM K_AMR_GBTD_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagZBBS' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID, DEVICE_NAME HAVING COUNT(DISTINCT F.MSG_ID) >= 2) FF, F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO GROUP BY F1.AUTH_USER_NO, FF.GDS_NO ) AA ON AA.IDX_CODE = K.IDX_CODE WHERE K.IDX_CODE IN ( 'PD0002' , 'PD0004' , 'PD0006' , 'PD0008' , 'PD0009' , 'PD0012' , 'PD0013' , 'PD0014' ); 再次执行查询,还是查不动。 我们分别对union all上下关联的sql进行分析 SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.TG_ID) COUNT, 'PD0009' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID FROM K_AMR_GBTD_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagPBGZTD' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID HAVING COUNT(DISTINCT F.MSG_ID) >= 2) FF, F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO GROUP BY F1.AUTH_USER_NO, FF.GDS_NO 该步骤执行慢。 从执行计划中看出,走的是TAG_NO的索引。 通过dba_tab_col_statistics发现TAG_NO distinct值为2。 全表数据量约为500w。 分析其他过滤条件MAKE_TIME列,数据比较倾斜,201910月数据为200w,其他月份数据量偏少,最高只有10w左右。 所以删除了原先TAG_NO列索引 drop index cpss.IDX_TAG_NO1; 创建函数索引 create index cpss.idx_MAKE_TIME on cpss.K_AMR_GBTD_FLOW(substr(replace(MAKE_TIME, '-' , '' ), 1, 6),TAG_NO); 执行计划如下: Plan hash value: 668798141 ------------------------------------------------------------------------------------------------------------------------ | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------------------------------------ | 0 | SELECT STATEMENT | | 8 | 256 | 9039 (1)| 00:01:49 | | 1 | TEMP TABLE TRANSFORMATION | | | | | | | 2 | LOAD AS SELECT | SYS_TEMP_0FD9FD2FB_8ABCBB03 | | | | | | 3 | NESTED LOOPS | | 1 | 76 | 4 (0)| 00:00:01 | | 4 | NESTED LOOPS | | 1 | 76 | 4 (0)| 00:00:01 | | 5 | NESTED LOOPS | | 1 | 52 | 3 (0)| 00:00:01 | | 6 | NESTED LOOPS | | 1 | 41 | 2 (0)| 00:00:01 | |* 7 | TABLE ACCESS BY INDEX ROWID | K_ID_STAFF | 1 | 21 | 1 (0)| 00:00:01 | |* 8 | INDEX RANGE SCAN | IDX_K_ID_STAFF_N4 | 1 | | 1 (0)| 00:00:01 | |* 9 | TABLE ACCESS BY INDEX ROWID | K_ID_GRID_BUSS | 1 | 20 | 1 (0)| 00:00:01 | |* 10 | INDEX RANGE SCAN | IDX_BUSS_NO | 2 | | 1 (0)| 00:00:01 | |* 11 | TABLE ACCESS BY INDEX ROWID | K_ID_GR_TG_RELA | 1 | 11 | 1 (0)| 00:00:01 | |* 12 | INDEX RANGE SCAN | IDX_GR_TG_GR_ID | 9 | | 1 (0)| 00:00:01 | |* 13 | INDEX RANGE SCAN | IDX_G_TG_TG_ID | 1 | | 1 (0)| 00:00:01 | |* 14 | TABLE ACCESS BY INDEX ROWID | G_TG | 1 | 24 | 1 (0)| 00:00:01 | |* 15 | HASH JOIN OUTER | | 8 | 256 | 9035 (1)| 00:01:49 | | 16 | INLIST ITERATOR | | | | | | |* 17 | INDEX RANGE SCAN | K_AMR_CONFIG_IDX_CODE | 8 | 56 | 1 (0)| 00:00:01 | |* 18 | VIEW | | 5 | 125 | 9034 (1)| 00:01:49 | | 19 | UNION-ALL | | | | | | |* 20 | TABLE ACCESS BY INDEX ROWID | K_AMR_CONFIG | 1 | 19 | 1 (0)| 00:00:01 | |* 21 | INDEX RANGE SCAN | K_AMR_CONFIG_TAG_NO | 2 | | 1 (0)| 00:00:01 | | 22 | SORT GROUP BY | | 1 | 68 | 4 (25)| 00:00:01 | | 23 | NESTED LOOPS | | 1 | 68 | 3 (0)| 00:00:01 | | 24 | NESTED LOOPS | | 16114 | 68 | 3 (0)| 00:00:01 | | 25 | VIEW | | 1 | 28 | 2 (0)| 00:00:01 | | 26 | TABLE ACCESS FULL | SYS_TEMP_0FD9FD2FB_8ABCBB03 | 1 | 28 | 2 (0)| 00:00:01 | |* 27 | INDEX RANGE SCAN | IDX_GDS_NO | 16114 | | 1 (0)| 00:00:01 | |* 28 | TABLE ACCESS BY INDEX ROWID | K_AMR_EXCEP_FLOW | 1 | 40 | 1 (0)| 00:00:01 | | 29 | HASH GROUP BY | | 1 | 31 | 332 (2)| 00:00:04 | | 30 | VIEW | VW_DAG_1 | 1 | 31 | 331 (1)| 00:00:04 | | 31 | HASH GROUP BY | | 1 | 33 | 331 (1)| 00:00:04 | |* 32 | HASH JOIN | | 1 | 33 | 330 (1)| 00:00:04 | | 33 | VIEW | | 1 | 28 | 2 (0)| 00:00:01 | | 34 | TABLE ACCESS FULL | SYS_TEMP_0FD9FD2FB_8ABCBB03 | 1 | 28 | 2 (0)| 00:00:01 | | 35 | VIEW | | 47 | 235 | 328 (1)| 00:00:04 | |* 36 | FILTER | | | | | | | 37 | HASH GROUP BY | | 47 | 6345 | 328 (1)| 00:00:04 | | 38 | VIEW | VW_DAG_0 | 929 | 122K| 328 (1)| 00:00:04 | | 39 | HASH GROUP BY | | 929 | 55740 | 328 (1)| 00:00:04 | |* 40 | TABLE ACCESS BY INDEX ROWID| K_AMR_GBTD_FLOW | 929 | 55740 | 327 (1)| 00:00:04 | |* 41 | INDEX RANGE SCAN | IDX_MAKE_TIME | 23042 | | 132 (0)| 00:00:02 | | 42 | HASH GROUP BY | | 1 | 150 | 8037 (1)| 00:01:37 | | 43 | VIEW | VW_DAG_3 | 1 | 150 | 8036 (1)| 00:01:37 | | 44 | HASH GROUP BY | | 1 | 75 | 8036 (1)| 00:01:37 | |* 45 | HASH JOIN | | 1 | 75 | 8035 (1)| 00:01:37 | | 46 | VIEW | | 1 | 28 | 2 (0)| 00:00:01 | | 47 | TABLE ACCESS FULL | SYS_TEMP_0FD9FD2FB_8ABCBB03 | 1 | 28 | 2 (0)| 00:00:01 | | 48 | VIEW | | 267 | 12549 | 8033 (1)| 00:01:37 | |* 49 | FILTER | | | | | | | 50 | HASH GROUP BY | | 267 | 47259 | 8033 (1)| 00:01:37 | | 51 | VIEW | VW_DAG_2 | 5333 | 921K| 8033 (1)| 00:01:37 | | 52 | HASH GROUP BY | | 5333 | 572K| 8033 (1)| 00:01:37 | |* 53 | TABLE ACCESS FULL | K_AMR_LBTZ_FLOW | 5333 | 572K| 8032 (1)| 00:01:37 | | 54 | HASH GROUP BY | | 1 | 143 | 330 (1)| 00:00:04 | | 55 | VIEW | VW_DAG_4 | 1 | 143 | 329 (1)| 00:00:04 | | 56 | HASH GROUP BY | | 1 | 76 | 329 (1)| 00:00:04 | | 57 | NESTED LOOPS | | 1 | 76 | 328 (0)| 00:00:04 | | 58 | VIEW | | 1 | 16 | 2 (0)| 00:00:01 | | 59 | TABLE ACCESS FULL | SYS_TEMP_0FD9FD2FB_8ABCBB03 | 1 | 28 | 2 (0)| 00:00:01 | |* 60 | TABLE ACCESS BY INDEX ROWID | K_AMR_GBTD_FLOW | 1 | 60 | 326 (0)| 00:00:04 | |* 61 | INDEX RANGE SCAN | IDX_MAKE_TIME | 23042 | | 132 (0)| 00:00:02 | | 62 | HASH GROUP BY | | 1 | 143 | 332 (2)| 00:00:04 | | 63 | VIEW | VW_DAG_6 | 1 | 143 | 331 (1)| 00:00:04 | | 64 | HASH GROUP BY | | 1 | 67 | 331 (1)| 00:00:04 | |* 65 | HASH JOIN | | 1 | 67 | 330 (1)| 00:00:04 | | 66 | VIEW | | 1 | 28 | 2 (0)| 00:00:01 | | 67 | TABLE ACCESS FULL | SYS_TEMP_0FD9FD2FB_8ABCBB03 | 1 | 28 | 2 (0)| 00:00:01 | | 68 | VIEW | | 1 | 39 | 328 (1)| 00:00:04 | |* 69 | FILTER | | | | | | | 70 | HASH GROUP BY | | 1 | 169 | 328 (1)| 00:00:04 | | 71 | VIEW | VW_DAG_5 | 19 | 3211 | 328 (1)| 00:00:04 | | 72 | HASH GROUP BY | | 19 | 1786 | 328 (1)| 00:00:04 | |* 73 | TABLE ACCESS BY INDEX ROWID| K_AMR_GBTD_FLOW | 19 | 1786 | 327 (1)| 00:00:04 | |* 74 | INDEX RANGE SCAN | IDX_MAKE_TIME | 23042 | | 132 (0)| 00:00:02 | ------------------------------------------------------------------------------------------------------------------------ Predicate Information (identified by operation id): --------------------------------------------------- 7 - filter( "A" . "STAFF_NO" <> '无' AND "A" . "DATA_OPER_TYPE" <> 'D' AND "A" . "STAFF_NO" IS NOT NULL) 8 - access( "A" . "AUTH_USER_NO" = 'P68120521' ) filter( "A" . "AUTH_USER_NO" <> '无' ) 9 - filter( "B" . "DATA_OPER_TYPE" <> 'D' ) 10 - access( "B" . "BUSS_NO" = "A" . "STAFF_NO" ) filter( "B" . "BUSS_NO" <> '无' ) 11 - filter( "R" . "DATA_OPER_TYPE" <> 'D' ) 12 - access( "B" . "GR_ID" = "R" . "GR_ID" ) filter( "R" . "GR_ID" IS NOT NULL) 13 - access( "R" . "TG_ID" = "T" . "TG_ID" ) 14 - filter( "T" . "PUB_PRIV_FLAG" = '01' AND "T" . "RUN_STATUS_CODE" = '01' ) 15 - access( "AA" . "IDX_CODE" (+)= "K" . "IDX_CODE" ) 17 - access( "K" . "IDX_CODE" = 'PD0002' OR "K" . "IDX_CODE" = 'PD0004' OR "K" . "IDX_CODE" = 'PD0006' OR "K" . "IDX_CODE" = 'PD0008' OR "K" . "IDX_CODE" = 'PD0009' OR "K" . "IDX_CODE" = 'PD0012' OR "K" . "IDX_CODE" = 'PD0013' OR "K" . "IDX_CODE" = 'PD0014' ) 18 - filter( "AA" . "IDX_CODE" (+)= 'PD0002' OR "AA" . "IDX_CODE" (+)= 'PD0004' OR "AA" . "IDX_CODE" (+)= 'PD0006' OR "AA" . "IDX_CODE" (+)= 'PD0008' OR "AA" . "IDX_CODE" (+)= 'PD0009' OR "AA" . "IDX_CODE" (+)= 'PD0012' OR "AA" . "IDX_CODE" (+)= 'PD0013' OR "AA" . "IDX_CODE" (+)= 'PD0014' ) 20 - filter( "C" . "TAG_TYPE" = '02' ) 21 - access( "C" . "TAG_NO" =:B1) 27 - access( "F1" . "ORG_NO" = "F" . "GDS_NO" ) filter( "F" . "GDS_NO" IS NOT NULL) 28 - filter( "F" . "TG_ID" IS NOT NULL AND ( "F" . "TAG_NO" = 'TagPBDDY' OR "F" . "TAG_NO" = 'TagPBGZ' OR "F" . "TAG_NO" = 'TagPBYZBPH' OR "F" . "TAG_NO" = 'TagPBZZ' ) AND SUBSTR(REPLACE( "FIRST_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' ) AND "F1" . "TG_ID" =TO_NUMBER( "F" . "TG_ID" )) 32 - access( "F1" . "TG_ID" =TO_NUMBER( "FF" . "TG_ID" ) AND "F1" . "ORG_NO" = "FF" . "GDS_NO" ) 36 - filter(COUNT( "ITEM_1" )>=2) 40 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND "F" . "TAG_NO" = 'TagPBGZTD' ) 41 - access(SUBSTR(REPLACE( "MAKE_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 45 - access( "F1" . "TG_ID" =TO_NUMBER( "FF" . "TG_ID" ) AND "F1" . "ORG_NO" = "FF" . "GDS_NO" ) 49 - filter(COUNT( "ITEM_1" )>=3) 53 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND SUBSTR(REPLACE( "FIRST_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' ) AND "F" . "TAG_NO" = 'TagLBTZ' ) 60 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND "F" . "TAG_NO" = 'TagZBBS' AND "F1" . "TG_ID" =TO_NUMBER( "F" . "TG_ID" )) 61 - access(SUBSTR(REPLACE( "MAKE_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 65 - access( "F1" . "TG_ID" =TO_NUMBER( "FF" . "TG_ID" ) AND "F1" . "ORG_NO" = "FF" . "GDS_NO" ) 69 - filter(COUNT( "ITEM_1" )>=2) 73 - filter( "F" . "GDS_NO" IS NOT NULL AND "F" . "TG_ID" IS NOT NULL AND "F" . "TAG_NO" = 'TagZBBS' ) 74 - access(SUBSTR(REPLACE( "MAKE_TIME" , '-' , '' ),1,6)=TO_CHAR(SYSDATE@!, 'yyyymm' )) 3秒内出结果,业务正常。 该sql还存在优化空间,K_AMR_LBTZ_FLOW表也可以加上同样的函数索引。 create index cpss.idx_MAKE_TIME on cpss.K_AMR_LBTZ_FLOW(substr(replace(FIRST_TIME, '-' , '' ), 1, 6),TAG_NO); 将K_AMR_GBTD_FLOW表重复的查询同样用with改写 针对SELECT FF.GDS_NO, F1.AUTH_USER_NO, COUNT(DISTINCT FF.TG_ID) COUNT, 'PD0009' IDX_CODE FROM (SELECT F.GDS_NO, F.TG_ID FROM K_AMR_GBTD_FLOW F WHERE F.TG_ID IS NOT NULL AND F.GDS_NO IS NOT NULL AND F.TAG_NO = 'TagPBGZTD' AND SUBSTR(REPLACE(MAKE_TIME, '-' , '' ), 1, 6) = TO_CHAR(SYSDATE, 'yyyymm' ) GROUP BY F.GDS_NO, F.TG_ID HAVING COUNT(DISTINCT F.MSG_ID) >= 2) FF, F1 WHERE F1.TG_ID = FF.TG_ID AND F1.ORG_NO = FF.GDS_NO GROUP BY F1.AUTH_USER_NO, FF.GDS_NO 这条sql语句,我们可以在索引上加上更多的列,减少回表操作(但是维护索引中的各个字段,将会增加其他dml操作的时间) create index cpss.idx_MAKE_TIME on cpss.K_AMR_GBTD_FLOW(substr(replace(MAKE_TIME, '-' , '' ), 1, 6),TAG_NO,GDS_NO,TG_ID,MSG_ID); |
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· 开源Multi-agent AI智能体框架aevatar.ai,欢迎大家贡献代码
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY