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Find table information where part of column matches char variable


Find table information where part of column matches char variable

By : user2954808
Date : November 22 2020, 10:33 AM
wish of those help One query with cursor to loop through all the database on your server or you can explicitly loop through certain database
Query
code :
DECLARE @DB_Name SYSNAME;
DECLARE @Sql NVARCHAR(MAX)= '';


DECLARE @cur CURSOR;

SET @Cur = CURSOR FOR
SELECT name 
FROM sys.sysdatabases
--WHERE name IN ('DBName1', 'DBName2', 'DBName3');  --<-- uncomment this line and 
                                                      -- specify the database names
OPEN @cur

FETCH NEXT FROM @Cur INTO @DB_Name 

WHILE (@@FETCH_STATUS = 0)
BEGIN
   SET @Sql = N'
SELECT t.name 
      ,c.name 
FROM '+ QUOTENAME(@DB_Name) + '.sys.tables  t 
INNER JOIN ' + QUOTENAME(@DB_Name) + '.sys.columns c ON c.object_id = t.object_id
WHERE t.name LIKE ''%test%'''

    EXEC(@Sql)

   FETCH NEXT FROM @Cur INTO @DB_Name 
END

CLOSE @cur
DEALLOCATE @cur


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MYSQL - Find rows, where part of search string matches part of value in column

MYSQL - Find rows, where part of search string matches part of value in column


By : Van
Date : March 29 2020, 07:55 AM
this will help The best solution would be to get rid of the column containing a list of values, and use a schema where each value is in its own row. Then you can use WHERE number IN (1, 2, 3, 4, 5) and join this with the table containing the rest of the data.
But if you can't change the schema, you can use a regular expression.
code :
SELECT *
FROM yourTable
WHERE numbers REGEXP '[[:<:]](1|2|3|4|5)[[:<:]]'
Find matches in column from the table header

Find matches in column from the table header


By : ayredv
Date : March 29 2020, 07:55 AM
help you fix your problem I'm doing two checks, and because it's a logical AND (using the &&), if the first fails, the second never processes. I check all TD's, but the first check is, is it in the same column as the clicked header? Secondly, I check if the text content of the given TD matches the text content of the chosen TH. If they match, they will be highlighted. Otherwise, in every case (not matching text or wrong column) any highlight classes will be removed.
Hope it helps.
code :
$("th").on("click", function(){
  // First, highlight the TH el that's been clicked, and
  //  remove highlight on all other TH els.
  $(this).addClass("highlight").siblings().removeClass("highlight");
  var colIndex = $(this).index();
  var colText = $(this).text();
  var matchCount = 0;
  
 $("td").each(function(){
   // For every TD, we want to check two things: is it in the same
   //   column as was clicked, and then does its text match the
   //   clicked TH el text? If so, highlight it. Otherwise, remove
   //   any highlight it may have.
   if($(this).index() == colIndex && $(this).text() == colText ) {
     $(this).addClass("highlight");
     matchCount ++;
   } else {
     $(this).removeClass("highlight")
   }
 })
 
 console.log("There were "+matchCount+" matches for "+colText+" in column "+(colIndex+1) +".");
})
body {
  font-family: Helvetica, Arial, sans-serif;
  font-size: 14px;
}
th {
  height: 40px;
  background-color: #ccc;
}
tr {
  height: 20px;
}
th, td {
  width: 25px;
}
.highlight {
  font-size: 18pt;
  font-weight: 800;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<table border="1" style="width:100%; border: 1;">
    <tr>
      <th>w</th>
      <th>o</th>
      <th>p</th>
      <th>w</th>
      <th>g</th>
      <th>h</th>
   </tr>

   <tr>
     <td>p</td>
     <td>k</td>
     <td>m</td>
     <td>n</td>
     <td>r</td>
     <td>b</td>
   </tr>
   <tr>
     <td>h</td>
     <td>p</td>
     <td>x</td>
     <td>v</td>
     <td>b</td>
     <td>e</td>
   </tr>
   <tr>
     <td>w</td>
     <td>r</td>
     <td>q</td>
     <td>b</td>
     <td>h</td>
     <td>h</td>
   </tr>
   <tr>
     <td>u</td>
     <td>o</td>
     <td>t</td>
     <td>w</td>
     <td>h</td>
     <td>s</td>
   </tr>
   <tr>
     <td>a</td>
     <td>o</td>
     <td>p</td>
     <td>w</td>
     <td>g</td>
     <td>h</td>
   </tr>
</table>
VSCode Find and Replace - find instances where part of search expression matches criteria and part does not

VSCode Find and Replace - find instances where part of search expression matches criteria and part does not


By : Andrey Tochilin
Date : March 29 2020, 07:55 AM
I hope this helps you . I want to run a regex to find instances in my code where I declare an animation duration time: e.g. duration: 2000 and replace them with that duration plus an added variable timeScale, e.g. duration: timeScale * 2000 , As per your feedback, make sure you set useRipGrep to false and use
code :
^(?!.*timescale).*duration:
Find all rows with a column where the ending matches a column of another table in MYSQL

Find all rows with a column where the ending matches a column of another table in MYSQL


By : user1613159
Date : March 29 2020, 07:55 AM
should help you out Okay I have table: ad-domains with one column and I want to find all rows in another table called history with 3 columns: key, domain, time. , The query you're looking for is something like:
code :
SELECT * FROM history
INNER JOIN ad-domain ON history.domain LIKE CONCAT('%', ad-domain.domain, '%')
How do I split a table into several new tables based on whether the column header matches with information found in anot

How do I split a table into several new tables based on whether the column header matches with information found in anot


By : HelmutSteiner
Date : March 29 2020, 07:55 AM
like below fixes the issue If you split Sample_Name by body_site, you get a vector of Sample_Names corresponding to each body_site. Then you just need to intersect this with the names of NE for each body_site, and select the columns resulting from that intersection. The result is a named list of data tables. The names are the body_site values.
code :
library(data.table) #not really necessary, just using it here since you're already using it

sites <- with(tistab, split(Sample_Name, body_site))

keep <- c('#Chr', 'start', 'end', 'ID')

lapply(sites, function(x) 
  NE[, .SD, .SDcols = c(keep, intersect(names(NE), x))])
# $`Brain - Amygdala`
#     #Chr    start      end                               ID GTEX-NPJ8-0011-R4a-SM-2HML3
#  1:   13 20244503 20244980 13:20244503:20244980:clu_1587_NA                  -0.4373220
#  2:   13 20244503 20245346 13:20244503:20245346:clu_1587_NA                   0.5077547
#  3:   13 20249124 20251864 13:20249124:20251864:clu_1588_NA                  -0.1507162
#  4:   13 20249793 20251864 13:20249793:20251864:clu_1588_NA                   0.2597159
#  5:   13 20251963 20304379 13:20251963:20304379:clu_1589_NA                  -1.2599646
#  6:   13 20283739 20304379 13:20283739:20304379:clu_1589_NA                   1.1824779
#  7:   13 20803888 20804837 13:20803888:20804837:clu_1590_NA                  -1.1686460
#  8:   13 20803888 20805005 13:20803888:20805005:clu_1590_NA                   0.3159457
#  9:   13 20803888 20805521 13:20803888:20805521:clu_1590_NA                  -0.3288013
# 10:   13 20804946 20805521 13:20804946:20805521:clu_1590_NA                  -1.2321289
#     GTEX-Q2AG-0011-R4A-SM-2HMKA
#  1:                  -0.3757792
#  2:                   0.4462926
#  3:                  -0.7109780
#  4:                   0.6629016
#  5:                  -1.3077109
#  6:                   1.1971567
#  7:                  -0.7477408
#  8:                   0.1601717
#  9:                  -0.4874609
# 10:                  -0.8164861
# 
# $`Brain - Caudate (basal ganglia)`
#     #Chr    start      end                               ID GTEX-N7MT-0011-R5a-SM-2I3G6
#  1:   13 20244503 20244980 13:20244503:20244980:clu_1587_NA                 -0.73425796
#  2:   13 20244503 20245346 13:20244503:20245346:clu_1587_NA                  0.83044440
#  3:   13 20249124 20251864 13:20249124:20251864:clu_1588_NA                 -0.02207567
#  4:   13 20249793 20251864 13:20249793:20251864:clu_1588_NA                  0.16780741
#  5:   13 20251963 20304379 13:20251963:20304379:clu_1589_NA                 -0.96313998
#  6:   13 20283739 20304379 13:20283739:20304379:clu_1589_NA                  1.00445387
#  7:   13 20803888 20804837 13:20803888:20804837:clu_1590_NA                 -1.10454772
#  8:   13 20803888 20805005 13:20803888:20805005:clu_1590_NA                  0.87244684
#  9:   13 20803888 20805521 13:20803888:20805521:clu_1590_NA                 -1.47490518
# 10:   13 20804946 20805521 13:20804946:20805521:clu_1590_NA                 -1.69929164
# 
# $`Brain - Spinal cord (cervical c-1)`
#     #Chr    start      end                               ID GTEX-Q2AG-0011-R9A-SM-2HMJ6
#  1:   13 20244503 20244980 13:20244503:20244980:clu_1587_NA                 -1.09599155
#  2:   13 20244503 20245346 13:20244503:20245346:clu_1587_NA                  0.92548695
#  3:   13 20249124 20251864 13:20249124:20251864:clu_1588_NA                 -0.40406824
#  4:   13 20249793 20251864 13:20249793:20251864:clu_1588_NA                  0.46501441
#  5:   13 20251963 20304379 13:20251963:20304379:clu_1589_NA                  0.08697363
#  6:   13 20283739 20304379 13:20283739:20304379:clu_1589_NA                 -0.04966781
#  7:   13 20803888 20804837 13:20803888:20804837:clu_1590_NA                 -0.15193551
#  8:   13 20803888 20805005 13:20803888:20805005:clu_1590_NA                 -0.14492768
#  9:   13 20803888 20805521 13:20803888:20805521:clu_1590_NA                  2.26125149
# 10:   13 20804946 20805521 13:20804946:20805521:clu_1590_NA                  0.32149405
# 
# $Lung
#     #Chr    start      end                               ID GTEX-PW2O-0526-SM-2I3DX
#  1:   13 20244503 20244980 13:20244503:20244980:clu_1587_NA              0.32721133
#  2:   13 20244503 20245346 13:20244503:20245346:clu_1587_NA             -0.08213476
#  3:   13 20249124 20251864 13:20249124:20251864:clu_1588_NA             -1.68168241
#  4:   13 20249793 20251864 13:20249793:20251864:clu_1588_NA              1.55309040
#  5:   13 20251963 20304379 13:20251963:20304379:clu_1589_NA              0.96385901
#  6:   13 20283739 20304379 13:20283739:20304379:clu_1589_NA             -0.89044547
#  7:   13 20803888 20804837 13:20803888:20804837:clu_1590_NA              0.12667894
#  8:   13 20803888 20805005 13:20803888:20805005:clu_1590_NA              0.13549352
#  9:   13 20803888 20805521 13:20803888:20805521:clu_1590_NA              0.12652705
# 10:   13 20804946 20805521 13:20804946:20805521:clu_1590_NA              0.14416639
#     GTEX-OHPK-0526-SM-2HMJB GTEX-OXRL-0526-SM-2I3EZ GTEX-OXRK-0926-SM-2HMKP
#  1:             -0.05645774              0.06747821              0.53607153
#  2:              0.23888779              0.15864565             -0.32498668
#  3:              1.69042151              1.78738099              0.28614696
#  4:             -1.83313242             -1.88842810             -0.05841975
#  5:              0.40292406              0.50895489              0.24524915
#  6:             -0.24664686             -0.31594565             -0.02313067
#  7:              0.09136061              0.11969509              0.13412507
#  8:              0.09930709              0.12698272              0.14104599
#  9:              0.09120931              0.11954333              0.13397303
# 10:              0.10756295              0.13458119              0.14766901
# 
# $`Skin - Sun Exposed (Lower leg)`
#     #Chr    start      end                               ID GTEX-Q2AG-0126-SM-2HMLB
#  1:   13 20244503 20244980 13:20244503:20244980:clu_1587_NA              0.01122552
#  2:   13 20244503 20245346 13:20244503:20245346:clu_1587_NA              0.09151192
#  3:   13 20249124 20251864 13:20249124:20251864:clu_1588_NA              0.94156107
#  4:   13 20249793 20251864 13:20249793:20251864:clu_1588_NA             -1.00545250
#  5:   13 20251963 20304379 13:20251963:20304379:clu_1589_NA             -0.17101732
#  6:   13 20283739 20304379 13:20283739:20304379:clu_1589_NA              0.26907797
#  7:   13 20803888 20804837 13:20803888:20804837:clu_1590_NA              2.26711789
#  8:   13 20803888 20805005 13:20803888:20805005:clu_1590_NA             -2.79253862
#  9:   13 20803888 20805521 13:20803888:20805521:clu_1590_NA             -0.73248347
# 10:   13 20804946 20805521 13:20804946:20805521:clu_1590_NA              1.14279010
# 
# $`Whole Blood`
#     #Chr    start      end                               ID GTEX-OIZH-0005-SM-2HMJN
#  1:   13 20244503 20244980 13:20244503:20244980:clu_1587_NA               2.0066926
#  2:   13 20244503 20245346 13:20244503:20245346:clu_1587_NA              -2.5313974
#  3:   13 20249124 20251864 13:20249124:20251864:clu_1588_NA              -1.1797539
#  4:   13 20249793 20251864 13:20249793:20251864:clu_1588_NA               0.8340660
#  5:   13 20251963 20304379 13:20251963:20304379:clu_1589_NA               1.4722278
#  6:   13 20283739 20304379 13:20283739:20304379:clu_1589_NA              -1.9188667
#  7:   13 20803888 20804837 13:20803888:20804837:clu_1590_NA               0.5305132
#  8:   13 20803888 20805005 13:20803888:20805005:clu_1590_NA               0.9691472
#  9:   13 20803888 20805521 13:20803888:20805521:clu_1590_NA               0.3785295
# 10:   13 20804946 20805521 13:20804946:20805521:clu_1590_NA               1.1931558
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