SQL Server 查找字符串LIKE vs SUBSTRING vs LEFT/RIGHT vs CHARINDEX

这篇具有很好参考价值的文章主要介绍了SQL Server 查找字符串LIKE vs SUBSTRING vs LEFT/RIGHT vs CHARINDEX。希望对大家有所帮助。如果存在错误或未考虑完全的地方,请大家不吝赐教,您也可以点击"举报违法"按钮提交疑问。

开发人员经常需要在数据库表中查询以某种文本模式开始和/或结束的记录。例如,查找名字以“DAV”开头的所有员工。

根据我的经验,SQL 开发人员通常依赖 4 个常用函数来实现这一点。

就在那时,这位好奇的顾问决定将它们正面交锋:LIKE vs SUBSTRING vs LEFT / RIGHT vs CHARINDEX,看看哪个最快。

 文章来源地址https://www.toymoban.com/news/detail-454238.html

赛前秀

出于测试目的,使用 Microsoft SQL Server 2014 在具有 128GB 内存、16 核 CPU、额定频率为 2.54 Ghz 的 Windows 2012 Server 上执行 SQL 代码。

 

为了让事情变得更有趣,测试分为两部分:

  • 将测试每个对表的速度
  • 将根据常规“字符串”数据测试每个的速度

 

这里的假设是不会有竞争条件或对此 SQL 代码的多线程调用。这只是一个直接的、正面的测试。

为确保 SQL Server 不会缓存任何查询(或与此相关的任何内容),在每次测试之前运行以下代码:

1
2
3
4
5
6
7
8
9
10
checkpoint
go
DBCC DROPCLEANBUFFERS
go
DBCC FREESESSIONCACHE
go
DBCC FREEPROCCACHE
go
DBCC FREESYSTEMCACHE('ALL')
go

创建并填充了两个表。主键相同。每个表中的三列将包含完全相同的数据,但是:

  1. 一个将有一个聚集索引
  2. 另一个将有一个非聚集索引
  3. 第三个没有索引

只是看看它们是否对性能有任何影响。

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
--create temp table to hold all generated data
IF OBJECT_ID('tempdb..#table1')IS NOT NULL
    DROP TABLE #table1
Create Table #table1
(
       id int identity(1,1),
       aGuid uniqueidentifier not null,
       aClusteredIndexedColumn varchar(900) not null,
       aNonClusteredIndexedColumn varchar(900) not null,
       thecount int not null,
       aNonIndexedColumn varchar(900) not null
)
 
--create temp table to hold test results
IF OBJECT_ID('tempdb..#table2') IS NOT NULL
    DROP TABLE #table2
Create Table #table2
(
       id int not null,
       matchedData varchar(900) not null
)
 
--create the indexes
print CAST(GETDATE() as varchar) + ' Started creating temptable indexes.'
 
CREATE CLUSTERED INDEX IDX_cl ON #table1 (aClusteredIndexedColumn)
CREATE NONCLUSTERED INDEX IDX_noncl ON #table1(aNonClusteredIndexedColumn)
CREATE NONCLUSTERED INDEX IDX_id ON #table1(id)
 
print CAST(GETDATE() as varchar) + ' Finished creating temptable indexes.'

使用每个函数完成查询以搜索插入到唯一标识符(guid) 中的特定字符串。结果被插入到辅助表中,以确保每个测试的结果数量相同。

完整的源代码可以在本文末尾找到。

 

您是博彩个人吗?

这是我们的LIKE vs SUBSTRING vs LEFT / RIGHT vs CHARINDEX速度测试的结果,以毫秒为单位。

获胜者以绿色突出显示。在这个速度测试中没有第二名的分数。

功能

对聚集索引列执行的时间,以毫秒为单位,超过 3 次运行:

# 记录:

50,000

500,000

5,000,000

50,000,000

1:喜欢

46, 43, 40

406, 413, 403

4016, 3986, 3996

39940, 39756, 40423

2:子串

46, 46, 46

440, 443, 443

2513, 2513, 2603

24760, 24873, 24270

3:左/右

40, 43, 43

406, 406, 410

2523, 2526, 2516

24713, 24770, 24823

4:CHARINDEX

10, 10, 10

56, 56, 56

590, 593, 576

5713, 5683, 5730

 

功能

对非聚集索引列执行的时间,以毫秒为单位,超过 3 次运行:

# 记录:

50,000

500,000

5,000,000

50,000,000

1:喜欢

43, 40, 40

70, 63, 73

680, 666, 670

7203, 6756, 6716

2:子串

103, 100, 103

256, 256, 260

2750, 2750, 2763

27076, 26940, 27053

3:左/右

100, 86, 100

253, 246, 250

2730, 2733, 2730

27166, 26633, 27123

4:CHARINDEX

10, 10, 10

56, 53, 60

590, 590, 586

5810, 5763, 5690

 

功能

对非索引列执行的时间,以毫秒为单位,超过 3 次运行:

# 记录:

50,000

500,000

5,000,000

50,000,000

1:喜欢

43, 43, 40

63, 66, 70

670, 676, 663

6790, 7153, 6726

2:子串

126, 123, 123

396, 396, 396

3016, 2810, 2933

25463, 25643, 25420

3:左/右

46, 46, 43

246, 250, 253

2800, 2496, 2546

24690, 24750, 24810

4:CHARINDEX

10, 6, 6

56, 56, 60

576, 590, 573

5790, 5836, 6276

 

功能

对 varchar 字符串执行的时间,以毫秒为单位,超过 3 次运行:

# 记录:

50,000

500,000

5,000,000

50,000,000

1:喜欢

126, 87, 75

909, 882, 822

8358, 8607, 8667

88610, 87349, 85341

2:子串

60, 45, 69

585, 582, 576

5571, 5673, 5670

57849, 54552, 56344

3:左/右

45, 45, 24

474, 396, 351

3945, 4044, 3990

39969, 39135, 40919

4:CHARINDEX

60, 36, 66

618, 636, 564

5766, 5937, 5904

59773, 58412, 60198

 

看看谁拥有它!

在查询表列以查找值时,CHARINDEX 显然是无可争议的王者。其他 3 个中的 2 个甚至没有接近我承认他们是“竞争对手”的速度。我预计 LIKE 会做得更好,尤其是在索引列上,但对 CHARINDEX 的统治感到非常惊讶。

在搜索 varchar/string 变量时,LEFT/RIGHT 位居榜首。

 

简而言之,当您需要在数据的开头或结尾搜索子字符串时:

  • 对表列执行查询时,使用 CHARINDEX
  • 在 @varchar 字符串变量中搜索时,使用 LEFT/RIGHT

 

我在下面为您留下了 SQL 代码,因此请随意将其用作执行您自己的性能基准测试的基础。

如果您有任何建议或其他方式,请在下面发表评论并分享知识!

 

SQL 源代码

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
checkpoint
go
DBCC DROPCLEANBUFFERS
go
DBCC FREESESSIONCACHE
go
DBCC FREEPROCCACHE
go
DBCC FREESYSTEMCACHE('ALL')
go
 
DECLARE @MAX int = 500000
DECLARE @Counter int = 1
DECLARE @WhatToLookFor varchar(10) = '$%XX#abcde'
DECLARE @tempString varchar(900)
DECLARE @tempGUID UniqueIdentifier
DECLARE @Start_Time datetime
DECLARE @End_Time datetime
 
--create temp table to hold all generated data
IF OBJECT_ID('tempdb..#table1')IS NOT NULL
         DROP TABLE #table1
Create Table #table1
(
       id int identity(1,1),
       aGuid uniqueidentifier not null,
       aClusteredIndexedColumn varchar(900) not null,
       aNonClusteredIndexedColumn varchar(900) not null,
       thecount int not null,
       aNonIndexedColumn varchar(900) not null
)
--create temp table to hold test results
IF OBJECT_ID('tempdb..#table2') IS NOT NULL
         DROP TABLE #table2
Create Table #table2
(
       id int not null,
       matchedData varchar(900) not null
)
 
 
--create temp table to hold resulting stats
IF OBJECT_ID('tempdb..#stats') IS NOT NULL
    DROP TABLE #stats
Create Table #stats
(
    id int identity(1,1),
    [task] varchar(900) not null,
    TotalRecordsCompared int null,
    MatchingRecords int null,
    StartTime datetime null,
    EndTime datetime null,
    TimeToRun varchar(50) not null
)
 
print CAST(GETDATE() as varchar) + ' Started while loop creating temptable data.'
SET NOCOUNT ON
 
While @Counter <= @MAX
BEGIN
    SET @tempGUID = NEWID()
    SET @tempString = CAST(@tempGuid as varchar(2000))
 
    --To ensure some matches
    If (@Counter % 9 = 0)
        --Put at beginning
        SET @tempString = @WhatToLookFor + @tempString
    Else if (@Counter % 3 ) = 0
        --put at end
        SET @tempString = @tempString + @WhatToLookFor
 
    --populate the temp table
    INSERT INTO #table1
    VALUES
    (
        @tempGuid
        ,@tempString
        ,@tempString
        ,@Counter
        ,@tempString
    )
 
    SET @Counter = @Counter + 1
END
SET NOCOUNT OFF
        
print CAST(GETDATE() as varchar) + ' Finished creating temptable data.'
 
--create the indexes
print CAST(GETDATE() as varchar) + ' Started creating temptable indexes.'
CREATE CLUSTERED INDEX IDX_cl ON #table1(aClusteredIndexedColumn)
CREATE NONCLUSTERED INDEX IDX_noncl ON #table1(aNonClusteredIndexedColumn)
CREATE NONCLUSTERED INDEX IDX_id ON #table1(id)
 
print CAST(GETDATE() as varchar) + ' Finished creating temptable indexes.'
 
--verify creation
--select top 10 * from #table1 order by id
 
--run the tests!
        
--against clustered indexed column first -------------------------------------------
print 'Starting LIKE test against clustered indexed column'
SET @START_TIME = GETDATE()
INSERT INTO #table2
SELECT id, aClusteredIndexedColumn
FROM #table1
WHERE aClusteredIndexedColumn like @WhatToLookFor + '%'
    or
    aClusteredIndexedColumn like '%' + @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'LIKE test against clustered indexed column'
    , @MAX
    , count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
 
Truncate Table #table2
 
print 'Starting SUBSTRING test against clustered indexed column'
SET @START_TIME = GETDATE()
INSERT INTO #table2
SELECT id , aClusteredIndexedColumn
FROM #table1
WHERE SUBSTRING(aClusteredIndexedColumn,1, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    SUBSTRING(aClusteredIndexedColumn, LEN(aClusteredIndexedColumn) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)) = @WhatToLookFor
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'SUBSTRING test against clustered indexed column'
         , @MAX
         , count(*) as [Matching Records]
         , @START_TIME as [Start Time]
         , @END_TIME as [End Time]
         , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate Table #table2
 
print 'Starting LEFT/RIGHT test against clustered indexed column'
SET @START_TIME = GETDATE()
INSERT INTO #table2
SELECT id, aClusteredIndexedColumn
FROM #table1
WHERE LEFT(aClusteredIndexedColumn, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    RIGHT(aClusteredIndexedColumn, LEN(@WhatToLookFor)) = @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'LEFT/RIGHT test against clustered indexed column'
         , @MAX
         , count(*) as [Matching Records]
         , @START_TIME as [Start Time]
         , @END_TIME as [End Time]
         , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate Table #table2
 
print 'Starting CHARINDEX test against clustered indexed column'
SET @START_TIME = GETDATE()
INSERT INTO #table2
SELECT id, aClusteredIndexedColumn
FROM #table1
WHERE CHARINDEX(@WhatToLookFor,SUBSTRING(aClusteredIndexedColumn,1,LEN(@WhatToLookFor)),0) > 0
    or
    CHARINDEX(@WhatToLookFor, SUBSTRING(aClusteredIndexedColumn, LEN(aClusteredIndexedColumn) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)), 0) > 0
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'CHARINDEX test against clustered indexed column'
         , @MAX
         , count(*) as [Matching Records]
         , @START_TIME as [Start Time]
         , @END_TIME as [End Time]
         , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate Table #table2
 
INSERT INTO #stats
VALUES ('--------',null,null,null,null,'--------')
 
--against nonclustered indexed column ----------------------------------------
print 'Starting LIKE test against nonclustered indexed column'
SET @START_TIME = GETDATE()
 
INSERT INTO #table2
SELECT id, aNonClusteredIndexedColumn
FROM #table1
WHERE aNonClusteredIndexedColumn like @WhatToLookFor + '%'
    or
    aNonClusteredIndexedColumn like '%' + @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'LIKE test against Nonclustered indexed column'
    , @MAX
    , count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND
    , @START_TIME
    ,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
print 'Starting SUBSTRING test against Nonclustered indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonClusteredIndexedColumn
FROM #table1
WHERE SUBSTRING(aNonClusteredIndexedColumn,1, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    SUBSTRING(aNonClusteredIndexedColumn, LEN(aNonClusteredIndexedColumn) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)) = @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'SUBSTRING test against Nonclustered indexed column'
    , @MAX
    , count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND , @START_TIME ,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
print 'Starting LEFT/RIGHT test against Nonclustered indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonClusteredIndexedColumn
FROM #table1
WHERE LEFT(aNonClusteredIndexedColumn, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    RIGHT(aNonClusteredIndexedColumn, LEN(@WhatToLookFor)) = @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'LEFT/RIGHT test against Nonclustered indexed column'
         , @MAX
         , count(*) as [Matching Records]
         , @START_TIME as [Start Time]
         , @END_TIME as [End Time]
         , CAST(DATEDIFF(MILLISECOND , @START_TIME ,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
print 'Starting CHARINDEX test against nonclustered indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonClusteredIndexedColumn
FROM #table1
WHERE CHARINDEX(@WhatToLookFor,SUBSTRING(aNonClusteredIndexedColumn, 1, LEN(@WhatToLookFor)),0) > 0
    or
    CHARINDEX(@WhatToLookFor, SUBSTRING(aNonClusteredIndexedColumn, LEN(aNonClusteredIndexedColumn) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)),0) > 0
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'CHARINDEX test against Nonclustered indexed column'
         , @MAX
         , count(*) as [Matching Records]
         , @START_TIME as [Start Time]
         , @END_TIME as [End Time]
         , CAST(DATEDIFF(MILLISECOND , @START_TIME ,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
INSERT INTO #stats
VALUES ('--------',null,null,null,null,'--------')
 
--Now against non indexed column --------------------------------------
 
print 'Starting LIKE test against NON-indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonIndexedColumn
FROM #table1
WHERE aNonIndexedColumn like @WhatToLookFor + '%'
    or
    aNonIndexedColumn like '%' + @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT
'LIKE test against NON-indexed column'
    , @MAX
    , count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
print 'Starting SUBSTRING test against NON-indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonIndexedColumn
FROM #table1
WHERE SUBSTRING(aNonIndexedColumn, 1, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    SUBSTRING(aNonIndexedColumn, LEN(aNonIndexedColumn) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)) = @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT 'SUBSTRING test against NON-indexed column'
    , @MAX
    , count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
print 'Starting LEFT/RIGHT test against NON-indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonIndexedColumn
FROM #table1
WHERE LEFT(aNonIndexedColumn, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    RIGHT(aNonIndexedColumn,LEN(@WhatToLookFor)) = @WhatToLookFor
 
SET @END_TIME = GETDATE()
print 'Finished'
 
INSERT INTO #stats
SELECT
'LEFT/RIGHT test against NON-indexed column'
    ,@MAX
    ,count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND,@START_TIME,@END_TIME)as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
print 'Starting CHARINDEX test against NON-indexed column'
SET @Start_Time = GETDATE()
INSERT INTO #table2
SELECT id, aNonIndexedColumn
FROM #table1
WHERE
CHARINDEX(@WhatToLookFor,SUBSTRING(aNonIndexedColumn,1, LEN(@WhatToLookFor)),0) > 0
    or
    CHARINDEX(@WhatToLookFor, SUBSTRING(aNonIndexedColumn, LEN(aNonIndexedColumn) - LEN(@WhatToLookFor) + 1,LEN(@WhatToLookFor)),0) > 0
 
SET @END_TIME = GETDATE()
print 'Finished'
INSERT INTO #stats
SELECT 'CHARINDEX test against NON-indexed column'
    , @MAX
    , count(*) as [Matching Records]
    , @START_TIME as [Start Time]
    , @END_TIME as [End Time]
    , CAST(DATEDIFF(MILLISECOND, @START_TIME,@END_TIME) as varchar) + ' milliseconds' as [Time to Run]
FROM #table2
Truncate table #table2
 
INSERT INTO #stats
VALUES ('--------',null,null,null,null,'--------')
 
--Now do normal string comparisons ------------------------------------
SET NOCOUNT ON
print 'Starting Looping string tests...'
 
DECLARE @LikeTimeDiff int = 0
DECLARE @SubstringTimeDiff int = 0
DECLARE @LeftRightTimeDiff int = 0
DECLARE @CharindexTimeDiff int = 0
DECLARE @LikeMatches int = 0
DECLARE @SubstringMatches int = 0
DECLARE @LeftRightMatches int = 0
DECLARE @CharindexMatches int = 0
 
Set @Counter = 1
WHILE (@Counter <= @MAX)
BEGIN
    Set @tempString =(Select aClusteredIndexedColumn FROM #table1 where id = @Counter)
 
    --Like
    SET @Start_Time = GETDATE()
    if (@tempString like @WhatToLookFor + '%'
    or
    @tempString like '%' + @WhatToLookFor)
    BEGIN
        SET @END_TIME = GETDATE()
        SET @LikeMatches = @LikeMatches + 1
    END
    ELSE
    BEGIN
        SET @END_TIME = GETDATE()
    END
    SET @LikeTimeDiff = @LikeTimeDiff + DATEDIFF(MILLISECOND, @START_TIME,@END_TIME)
 
    --Substring
    SET @Start_Time = GETDATE()
    if (SUBSTRING(@tempString, 1, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    SUBSTRING(@tempString, LEN(@tempString) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)) = @WhatToLookFor)
    BEGIN
        SET @END_TIME = GETDATE()
        SET @SubstringMatches = @SubstringMatches + 1
    END
    ELSE
    BEGIN
        SET @END_TIME = GETDATE()
    END
    SET @SubstringTimeDiff = @SubstringTimeDiff + DATEDIFF(MILLISECOND, @START_TIME,@END_TIME)
 
    --Left/Right
    SET @Start_Time = GETDATE()
    if (LEFT(@tempString, LEN(@WhatToLookFor)) = @WhatToLookFor
    or
    RIGHT(@tempString, LEN(@WhatToLookFor)) = @WhatToLookFor)
    BEGIN
        SET @END_TIME = GETDATE()
        SET @LeftRightMatches = @LeftRightMatches + 1
    END
    ELSE
    BEGIN
        SET @END_TIME = GETDATE()
    END
    SET @LeftRightTimeDiff = @LeftRightTimeDiff + DATEDIFF(MILLISECOND, @START_TIME,@END_TIME)
 
    --Charindex
    SET @Start_Time = GETDATE()
    if (CHARINDEX(@WhatToLookFor,SUBSTRING(@tempString, 1, LEN(@WhatToLookFor)),0) > 0
    or
    CHARINDEX(@WhatToLookFor, SUBSTRING(@tempString, LEN(@tempString) - LEN(@WhatToLookFor) + 1, LEN(@WhatToLookFor)), 0) > 0)
    BEGIN
        SET @END_TIME = GETDATE()
        SET @CharindexMatches = @CharindexMatches + 1
    END
    ELSE
    BEGIN
        SET @END_TIME = GETDATE()
    END
    SET @CharindexTimeDiff = @CharindexTimeDiff + DATEDIFF(MILLISECOND, @START_TIME,@END_TIME)
 
    SET @Counter = @Counter + 1
 
END
print 'Finished looping string tests...'
 
INSERT INTO #stats
SELECT 'LIKE string test'
    , @MAX
    , @LikeMatches as [Matching Records]
    ,null
    ,null
    , CAST(@LikeTimeDiff as varchar) + ' milliseconds' as [Time to Run]
 
INSERT INTO #stats
SELECT 'SUBSTRING string test'
    , @MAX
    , @SubstringMatches as [Matching Records]
    ,null
    ,null
    ,CAST(@SubstringTimeDiff as varchar) + ' milliseconds' as [Time to Run]
 
INSERT INTO #stats
SELECT 'LEFT/RIGHT string test'
    , @MAX
    , @LeftRightMatches as [Matching Records]
    ,null
    ,null
    ,CAST(@LeftRightTimeDiff as varchar) + ' milliseconds' as [Time to Run]
 
INSERT INTO #stats
SELECT 'CHARINDEX string test'
    , @MAX
    , @CharindexMatches as [Matching Records]
    ,null
    ,null
    ,CAST(@CharindexTimeDiff as varchar) + ' milliseconds' as [Time to Run]
 
SET NOCOUNT OFF
 
--Display the results
select *
from #stats
order by id
 
--clean up
IF OBJECT_ID('tempdb..#table1') IS NOT NULL
    DROP TABLE #table1
 
IF OBJECT_ID('tempdb..#table2') IS NOT NULL
    DROP TABLE #table2
 
IF OBJECT_ID('tempdb..#stats') IS NOT NULL
    DROP TABLE #stats

 

到了这里,关于SQL Server 查找字符串LIKE vs SUBSTRING vs LEFT/RIGHT vs CHARINDEX的文章就介绍完了。如果您还想了解更多内容,请在右上角搜索TOY模板网以前的文章或继续浏览下面的相关文章,希望大家以后多多支持TOY模板网!

本文来自互联网用户投稿,该文观点仅代表作者本人,不代表本站立场。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如若转载,请注明出处: 如若内容造成侵权/违法违规/事实不符,请点击违法举报进行投诉反馈,一经查实,立即删除!

领支付宝红包 赞助服务器费用

相关文章

  • SQL Server日期时间与字符串之间的转换

    1、使用函数CONVERT: 2、参数说明 expression :任何有效的SQL表达式。 data_type :目标数据类型。 这包括 xml、bigint 和sql_variant 。 不能使用别名数据类型。 length :指定目标数据类型长度的可选整数,适用于允许用户指定长度的数据类型。例如:nchar、nvarchar、char、varchar、binary

    2024年02月06日
    浏览(53)
  • SQL Server日期时间字符串的处理和转换

    在SQL Server中,您可以使用T-SQL函数进行日期时间字符串的处理和转换。要判断一个日期字符串是否包含时间信息,可以使用T-SQL内置的函数CONVERT和TRY_CONVERT,并指定时间格式。 例如,假设有一个名为date_string的日期字符串,您可以使用以下代码来判断它是否包含时间信息: 如

    2024年02月16日
    浏览(48)
  • SQL SERVER 把逗号隔开的字符串拆分成行

    表 目标:把车牌号单独成行,可过滤掉空字符串 查询语句 效果: 补充: 匹配字符串开始位置的函数CHARINDEX(str1,str,[start]) CHARINDEX(str1,str,[start])函数返回子字符串str1在字符串str中的开始位置,start为搜索的开始位置,如果指定start参数,则从指定位置开始搜索;如果不指定start参数

    2023年04月26日
    浏览(69)
  • Java 字符串中删除子字符串的9种方法详细内容(remove substring from String)

    Java 中的字符串中删除子字符串有以下方法: 1.Using replace method使用替换方法 2.Using Charsequence使用字符序列 3.Replace the Substring with an empty string用空字符串替换子字符串 4.Using String’s replaceFirst method使用 String 的 replaceFirst 方法 5.replaceFirst() method 6.Using replaceAll method 使用 replaceAll 方

    2024年02月16日
    浏览(40)
  • 在 SQL Server 中编写函数以获取年加周的字符串

    在 SQL Server 中,有时候我们需要将日期转换为表示年份和周数的字符串。为了实现这个目标,我们可以编写一个简单的函数。下面是一个示例函数,该函数接受一个日期作为输入,并返回年份和周数的字符串。 在这个函数中,首先使用 YEAR 函数获取输入日期的年份,然后使用

    2024年02月20日
    浏览(54)
  • 【SQL SERVER】Fn_SplitStr 逗号相隔的字符串返回多行

    运行结果如下:

    2024年01月23日
    浏览(38)
  • Java中String字符串截取几种方法(substring,split)

    这是一个Java中的String的基础用法的演示。 下面通过代码对大家进行讲解 substring 这里用来ndexOf,lastIndexOf这两个函数进行字符定位,一个是从前往后寻找第一个,一个是从后往前寻找第一个。 split split本身就是分割的意思,里面传入一个字符串,通过这个字符串进行分割,也是

    2024年02月05日
    浏览(56)
  • [ERR] [22001] [Microsoft][SQL Server Native Client 10.0][SQL Server]将截断字符串或二进制数据

    使用Navicat导入.csv SQL Server导入.csv文件时报错,但是这个错误不知道具体是哪里的错,然后使用DBeaver导入,提示如下错误 根据报错信息可以看到 Can\\\'t parse numeric value [NULL] using formatter ,不能解析NULL为numeric的值,到.csv文件中查看列值 可以看到列中有NULL值 既然报的是 Can\\\'t pa

    2024年02月12日
    浏览(35)
  • [SQL Server]SQL Server数据库中如何将时间日期类型(DateTime)转换成字符串类型(varchar,nvarchar)

    SQL Server数据库中,如何将时间日期类型(DateTime)的数据转换成字符串类型(varchar,nvarchar),并对其进行 yyyy-mm-dd 形式的格式化输出 使用SQL Server的 CONVERT() 函数,如下: SELECT LEFT(CONVERT(VARCHAR, GETDATE(), 120), 10) 或者 SELECT CONVERT(VARCHAR(10), GETDATE(), 120) 在SQL Server 2012及以上版本中,新增

    2024年02月07日
    浏览(68)
  • [Microsoft] [SQL Server的ODBC驱动程序11] SQL Server网络接口:连接字符串无效[87] [Microsoft] [SQL Server的ODBC驱动程序

    解决 [Microsoft] [SQL Server的ODBC驱动程序11] SQL Server网络接口:连接字符串无效[87]     [Microsoft] [SQL Server的ODBC驱动程序11]登录超时已过期     [Microsoft] [SQL Server的ODBC驱动程序11]建立与SQL Server的连接时发生了与网络相关或特定于实例的错误。请检查实例名称是否正确以及SQL SER

    2024年02月10日
    浏览(48)

觉得文章有用就打赏一下文章作者

支付宝扫一扫打赏

博客赞助

微信扫一扫打赏

请作者喝杯咖啡吧~博客赞助

支付宝扫一扫领取红包,优惠每天领

二维码1

领取红包

二维码2

领红包