Unix Technical Forum

SEO

vBulletin Search Engine Optimization


Go Back   Unix Technical Forum > Database Server Software > MySQL > MySQL General forum

Register FAQ Members List Calendar Search Today's Posts Mark Forums Read
  #1 (permalink)  
Old 03-09-2008, 01:37 PM
Waynn Lue
 
Posts: n/a
Default mysqldump on specific columns only?

I'm trying to dump all the columns of a table but one in a
restructuring of my schema. I found this post:
http://www.jsw4.net/info/listserv_ar.../msg00131.html
which seems to indicate that this isn't possible, but I was wondering
if anyone had any suggestions. My current solution is to do a simple
search and replace, but that won't work for everything. I could
always do regex search/replace, as well, but I'm hoping for something
native to mysqldump, since the files are going to be rather big.

Thanks,
Waynn
Digg this Post!Add Post to del.icio.usBookmark Post in TechnoratiFurl this Post!
Reply With Quote
  #2 (permalink)  
Old 03-10-2008, 04:55 PM
Rob Wultsch
 
Posts: n/a
Default Re: mysqldump on specific columns only?

On Sat, Mar 8, 2008 at 11:55 PM, Waynn Lue <waynnlue@gmail.com> wrote:
> I'm trying to dump all the columns of a table but one in a
> restructuring of my schema. I found this post:
> http://www.jsw4.net/info/listserv_ar.../msg00131.html
> which seems to indicate that this isn't possible, but I was wondering
> if anyone had any suggestions. My current solution is to do a simple
> search and replace, but that won't work for everything. I could
> always do regex search/replace, as well, but I'm hoping for something
> native to mysqldump, since the files are going to be rather big.
>
> Thanks,
> Waynn


I would probably use INTO OUTFILE. Any particular reason it does not work?
CREATE TABLE `t` (
`c1` varchar(10) NOT NULL,
`c2` varchar(10) NOT NULL,
`c3` varchar(10) NOT NULL
);

INSERT INTO `t` (`c1`, `c2`, `c3`) VALUES
('1', '2', '3'),
('4', '5', '6'),
('7', '8', '9'),
('10', '11', '12');

mysql> select c1,c2 from t INTO OUTFILE 'outfile';
Query OK, 4 rows affected (0.00 sec)


outfile contents:
1 2
4 5
7 8
10 11






--
Rob Wultsch
Digg this Post!Add Post to del.icio.usBookmark Post in TechnoratiFurl this Post!
Reply With Quote
  #3 (permalink)  
Old 03-10-2008, 04:55 PM
Tim McDaniel
 
Posts: n/a
Default Re: mysqldump on specific columns only?

> On Sat, Mar 8, 2008 at 11:55 PM, Waynn Lue <waynnlue@gmail.com> wrote:
>> Subject: Re: mysqldump on specific columns only?
>> I'm trying to dump all the columns of a table but one in a
>> restructuring of my schema.


By "dump", I assume you mean "output", not "delete".

I suspect I'm too inexperienced in MySQL or I don't understand the
question, because I don't see why you haven't mentioned
ALTER TABLE DROP COLUMN. Or, if you don't want to touch the original
database but rather a copy database: mysqldump, load it into another
database, ALTER TABLE DROP COLUMN. It's true that you wrote

>> since the files are going to be rather big.


The second notion has the disadvantage that the data will be copied
three times (mysqldump, load, ALTER TABLE). On the other hand, you
have the full reliability of mysqldump, with its care in copying
CREATE TABLEs and data correctly.

Am I perhaps misunderstanding?


On Sun, 9 Mar 2008, Rob Wultsch <wultsch@gmail.com> wrote:
> I would probably use [SELECT] INTO OUTFILE. Any particular reason it
> does not work?


It's not well-suited for "restructuring of my schema". mysqldump
emits SQL that can be used immediately to create the table with
exactly the same data types and column names and keys and other
properties (like NOT NULL), and to insert data into columns with
quoting and escaping as needed, and nice little flourishes like DROP
TABLE IF EXISTS, LOCK TABLES, UNLOCK TABLES.

> mysql> select c1,c2 from t INTO OUTFILE 'outfile';
> Query OK, 4 rows affected (0.00 sec)
>
>
> outfile contents:
> 1 2
> 4 5
> 7 8
> 10 11


That provides only the data to insert. Further, it would require
considerable massaging to get it into the form of INSERT statements,
though for all I know MySQL provides other mechanisms to load that
sort of data. But those are tab-separated columns: what if one of the
columns were a text field with a literal tab?

--
Tim McDaniel, tmcd@panix.com
Digg this Post!Add Post to del.icio.usBookmark Post in TechnoratiFurl this Post!
Reply With Quote
  #4 (permalink)  
Old 03-10-2008, 04:55 PM
Waynn Lue
 
Posts: n/a
Default Re: mysqldump on specific columns only?

Thanks for the responses, Inline:

On Sun, Mar 9, 2008 at 7:49 PM, Tim McDaniel <tmcd@panix.com> wrote:
> > On Sat, Mar 8, 2008 at 11:55 PM, Waynn Lue <waynnlue@gmail.com> wrote:
> >> Subject: Re: mysqldump on specific columns only?

>
> >> I'm trying to dump all the columns of a table but one in a
> >> restructuring of my schema.

>
> By "dump", I assume you mean "output", not "delete".


Indeed, I meant "output."

> I suspect I'm too inexperienced in MySQL or I don't understand the
> question, because I don't see why you haven't mentioned
> ALTER TABLE DROP COLUMN. Or, if you don't want to touch the original
> database but rather a copy database: mysqldump, load it into another
> database, ALTER TABLE DROP COLUMN. It's true that you wrote
>
>
> >> since the files are going to be rather big.

>
> The second notion has the disadvantage that the data will be copied
> three times (mysqldump, load, ALTER TABLE). On the other hand, you
> have the full reliability of mysqldump, with its care in copying
> CREATE TABLEs and data correctly.
>
> Am I perhaps misunderstanding?


ALTER TABLE unfortunately takes longer than dumping and recreating the
tables. I started a previous thread on this, and the consensus was
recreating everything was faster, and I'm taking advantage of this
downtime to restructure our schema, and add a few other columns that
will be needed. The initial impetus was expanding an INT to a BIGINT,
but in the presence of a foreign key. So that would require dropping
the FK, expanding the INT to BIGINT in two tables, then recreating the
FK. I would also want to add three more columns while I'm at it. And
in this case, the cost of all those operations is significantly higher
than just dumping all the tables, truncating/dropping the tables,
recreating the tables, then importing.

> On Sun, 9 Mar 2008, Rob Wultsch <wultsch@gmail.com> wrote:
> > I would probably use [SELECT] INTO OUTFILE. Any particular reason it
> > does not work?

>
> It's not well-suited for "restructuring of my schema". mysqldump
> emits SQL that can be used immediately to create the table with
> exactly the same data types and column names and keys and other
> properties (like NOT NULL), and to insert data into columns with
> quoting and escaping as needed, and nice little flourishes like DROP
> TABLE IF EXISTS, LOCK TABLES, UNLOCK TABLES.


I'm actually not going to be using the exact same schema anyway, so
SELECT INTO does work, but ... let me continue this thought below.

> > mysql> select c1,c2 from t INTO OUTFILE 'outfile';
> > Query OK, 4 rows affected (0.00 sec)
> >
> >
> > outfile contents:
> > 1 2
> > 4 5
> > 7 8
> > 10 11

>
> That provides only the data to insert. Further, it would require
> considerable massaging to get it into the form of INSERT statements,
> though for all I know MySQL provides other mechanisms to load that
> sort of data. But those are tab-separated columns: what if one of the
> columns were a text field with a literal tab?


MySQL does provide LOAD DATA INFILE
(http://dev.mysql.com/doc/refman/5.0/en/load-data.html), but I was
hoping to do it through mysqldump instead of SELECT INTO because I
assumed the performance was faster. If that's not the case, though,
I'll go ahead and use SELECT INTO OUTFILE and LOAD DATA INFILE. I
guess most any character is fine as a delimiter, since my fields
should all just be IDs...

Thanks,
Waynn
Digg this Post!Add Post to del.icio.usBookmark Post in TechnoratiFurl this Post!
Reply With Quote
  #5 (permalink)  
Old 03-10-2008, 04:55 PM
Rob Wultsch
 
Posts: n/a
Default Re: mysqldump on specific columns only?

> MySQL does provide LOAD DATA INFILE
> (http://dev.mysql.com/doc/refman/5.0/en/load-data.html), but I was
> hoping to do it through mysqldump instead of SELECT INTO because I
> assumed the performance was faster. If that's not the case, though,
> I'll go ahead and use SELECT INTO OUTFILE and LOAD DATA INFILE. I
> guess most any character is fine as a delimiter, since my fields
> should all just be IDs...
>
> Thanks,
> Waynn
>


OK. Why not just create the new table and SELECT... INSERT . I would
think that would be the fastest solution of all.

--
Rob Wultsch
Digg this Post!Add Post to del.icio.usBookmark Post in TechnoratiFurl this Post!
Reply With Quote
Reply


Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

vB code is On
Smilies are On
[IMG] code is On
HTML code is Off
Trackbacks are On
Pingbacks are On
Refbacks are On
Forum Jump


All times are GMT. The time now is 08:56 AM.


Powered by vBulletin® Version 3.6.5
Copyright ©2000 - 2008, Jelsoft Enterprises Ltd.
SEO by vBSEO 3.2.0
UnixAdminTalk.com

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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931 932 933 934 935 936 937 938 939 940 941 942 943 944 945 946 947 948 949 950 951 952