regular expression to solve for the following - regex

Example 1
asdk[wovkd'vk'psacxu5=205478499|205477661zamd;amd;a;d
Example 2
sadlmdlmdadsldu5=205478499|205477661|234567899amsd/samdamd
u5 can have multiple values separated by |
How can I capture all u5 values from a long string I have?

Below is for BigQuery Standard SQL
#standardSQL
WITH data AS (
SELECT 1 AS id, "asdk[wovkd'vk'psacxu5=205478499|205477661zamd;amd;a;d" AS junk UNION ALL
SELECT 2, "sadlmdlmdadsldu5=205478499|205477661|234567899amsd/samdamd"
)
SELECT id, SPLIT(REGEXP_EXTRACT(junk, r'(?i)u5=([\d|]*)'), '|') AS value
FROM data
with output as below
id value
1 205478499
205477661
2 205478499
205477661
234567899

Related

mariaDB extract only the digits from {"user":"128"}

From the string {"user":"128"}, expected only 128.
Could also be {"user":"8"} or {"user":"12"} or {"user":"128798"}
In this fiddle example the matched value should be 3
Schema:
CREATE TABLE test1 (
id INT AUTO_INCREMENT,
userid INT(11),
PRIMARY KEY (id)
);
INSERT INTO test1(userid)
VALUES
('126'),
('2457'),
('3'),
('40');
CREATE TABLE test2 (
id INT AUTO_INCREMENT,
code VARCHAR(1024),
PRIMARY KEY (id)
);
INSERT INTO test2(code)
VALUES
('{"user":"128"}'),
('{"user":"2459"}'),
('{"user":"3"}'),
('{"user":"46"}');
Query:
(SELECT sub.`userid`, rev.`code` REGEXP '[0-9]'
FROM `test1` AS sub, `test2` AS rev
WHERE sub.`userid`= rev.`code`
)
Have tried REGEXP '[0-9]' and also '[[:digit:]]' but no luck.
I have also tried concat ('',value * 1) = value or concat(value * 1) = value
SOLUTION: fiddle
REGEXP will return 0 or 1 if the regexp matches the string.
You should have a look to 'regexp_substr'
https://dev.mysql.com/doc/refman/8.0/en/regexp.html#function_regexp-substr
select REGEXP_SUBSTR(code, '"[0-9]+"') from test2
This works for me, after selecting MySQL 8 version in your fiddler.
it returns :
"128"
"2459"
null
"46"
or
select REGEXP_SUBSTR(code, '[0-9]+') from test2
if you want 3 instead of null for "k3"
akina suggestion of using JSON_EXTRACT is way better, but does require that you redefine the column as a JSON datatype from VARCHAR.
Use the function REGEXP_SUBSTR:
MariaDB [(none)]> SELECT REGEXP_SUBSTR('{"user":"128"}', '\\d+');
+-----------------------------------------+
| REGEXP_SUBSTR('{"user":"128"}', '\\d+') |
+-----------------------------------------+
| 128 |
+-----------------------------------------+
1 row in set (0.000 sec)

Power Bi Compare two tables and get values that do not matched criteria

i have 2 tables and, i would like to check if table 1 (Type_Sorting) == (CCSClassCode_Type) is matched with table 2 (_Type Sorting) == (_CCS Class Type):
for example, you can see vi got the wrong value in table 1 (CCSClassCode_Type)
and, the right value is XLBas you can see in table 2 (_CCS Class Type) not ULM,
the idea of table 2 to check if people type the right values, Please not that table 2 (_CCS Class Type) have duplicate values
thank you in advance :)
You can calculate this like that:
Table 2 =
Var trt =
SELECTCOLUMNS(Table_2, "XX"
, COMBINEVALUES(",",Table_2[_CCS Class Type],Table_2[_Type Sorting]))
return
SUMMARIZECOLUMNS(Table_1[Column1]
, Table_1[CCSClassCode_Type]
, Table_1[Type_Sorting]
, FILTER(ALL(Table_1[CCSClassCode_Type],Table_1[Type_Sorting]), not( COMBINEVALUES(",",Table_1[CCSClassCode_Type],Table_1[Type_Sorting])
in trt )
))

Extract Numbers from String - Custom

I'd like to extract "Most" numbers from a string and Add "JW" at the end.
My values look like:
RFID_DP_IDS339020JW3_IDMsg - Result = 339020JW
RFID_DP_IDSA72130JW_IDMsg --> 72130JW
RFID_DP_IDS337310JW1_IDMsg --> 337310JW
Basically I would remove all first letters, keep all numbers and JW
For now I had this
regexp_replace(Business_CONTEXT, '[^0-9]', '')||'JW' RegistrationPoint
But that would include the numbers AFTER 'JW'
Any idea?
How about this?
result would return exactly two letters after bunch of digits
result2 would return digits + JW
Pick the one you find the most appropriate.
SQL> with test (col) as
2 (select 'RFID_DP_IDS339020JW3_IDMsg' from dual union all
3 select 'RFID_DP_IDSA72130JW_IDMsg' from dual union all
4 select 'RFID_DP_IDS337310JW1_IDMsg' from dual
5 )
6 select col,
7 regexp_substr(col, '\d+[[:alpha:]]{2}') result,
8 regexp_substr(col, '\d+JW') result2
9 from test;
COL RESULT RESULT2
-------------------------- -------------------------- --------------------------
RFID_DP_IDS339020JW3_IDMsg 339020JW 339020JW
RFID_DP_IDSA72130JW_IDMsg 72130JW 72130JW
RFID_DP_IDS337310JW1_IDMsg 337310JW 337310JW
SQL>
If you really want to extract the longest digit string out of your given strings you can use the following:
WITH test (Business_CONTEXT) AS
(SELECT 'RFID_DP_IDS339020JW3_I9DMsg' from dual union all
SELECT 'RFID_DP_IDSA72130JW_IDMsg' from dual union all
SELECT 'RFID_DP_IDS337310JW1_IDMsg' from dual
)
SELECT Business_CONTEXT
, (SELECT MAX(regexp_substr(Business_CONTEXT, '\d+', 1, LEVEL))
KEEP (dense_rank last ORDER BY LENGTH(regexp_substr(Business_CONTEXT, '\d+', 1, LEVEL)))
FROM dual
CONNECT BY regexp_substr(Business_CONTEXT, '\d+', 1, LEVEL) IS NOT NULL) num
FROM test
Result:
Business_CONTEXT | NUM
----------------------------+-----
RFID_DP_IDS339020JW3_I9DMsg | 339020
RFID_DP_IDSA72130JW_IDMsg | 72130
RFID_DP_IDS337310JW1_IDMsg | 337310

Big query analytical function not giving expected results

I am trying to write a sql in bigquery and I have a requirement to filter records based on a group by column and another column in the table
what I mean is I want to check if the group by column(column name:mnt) has more than one row then I have to check if col2 (col name: zel) value, then I have to apply a filter saying col2 ='X' and only pass that record else pass i.e dont filter the records if the col1 has only distinct one value per group
So I have written a sql to do this I have used row_number as well as rank , dense rank function but I noticed the value of rank and dense rank and row number functions return same value for a group
Please see the below code
#standardsql
with t1 as (SELECT mnt,
case when rank() over (partition by ltrim(rtrim(mnt)) order by
ltrim(rtrim(mnt)) asc) >1 then 'Y' else 'N' end
as flag,
rank() over (partition by mnt order by mnt) as rn,
dense_rank() over (partition by mnt order by mnt) as drn, FROM
projectname.datasetname.tablename1),
t2 as ( SELECT
mnt,
rel,
lif,
lts,
lokez FROM projectname.datasetname.tablename2
WHERE lts <> "" AND _PARTITIONTIME = TIMESTAMP(CURRENT_DATE()) ) ,
t3 as (SELECT
lif,
lifn,
lts,
par FROM `projectname.datasetname.tablename3`)
,t4 as (SELECT rcv FROM `projectname.datasetname.tablename4` WHERE mes
= 'PRO')
select * from (
SELECT t1.mnt as mnt,
t1.flag,
t1.rn,
t1.drn
t2.rel as zel,
t2.lokez as ZLOEKZ,
t4.rcv as Zrcv
FROM t1 left join t2 on replace(t1.mnt, '00000000', '') =
REPLACE(t2.mnt, '00000000', '') AND t1.lif = t2.lif and t2.lts <> ""
and
case when t1.flag = 'Y' and t2.rel ='X' then 1
when (t1.flag ='N' and t2.rel=t2.rel) or (t1.flag ='N' and t2.rel
is null) then 1
when t1.flag = 'Y' and t2.rel <>'X' then 2
else 3
end = 1
left join t3 ON t1.lif = t3.lif AND t2.lts = t3.lts AND
t3.par = 'BA' left join t4 on t4.rcv = t3.lifn and t2.lokez is null )
where ZLOEKZ is null order by mnt
As you can see I am using a case statement and even it seems to be not working fine. I am pasting the case condition below again
case when t1.flag = 'Y' and t2.rel ='X' then 1
when (t1.flag ='N' and t2.rel=t2.rel) or (t1.flag ='N' and
t2.rel
is null) then 1
when t1.flag = 'Y' and t2.rel <>'X' then 2
else 3
end = 1
But the expected record count did not match so I added the above sql lines to see if my analytical functions were giving me result I wanted
rank() over (partition by mnt order by mnt) as rn,
dense_rank() over (partition by mnt order by mnt) as drn
strangely for same mnt number the rank , dense rank and row_number function are assigning the same value what am i doing wrong here.
mnt flag rn drn rel lokez rcv
100 N 1 1 X abc 123
100 N 1 1 null xyz 123
100 N 1 1 null def 234
This is my output
I mean as per my code for same mnt number I am seeing flag set to N instead of Y and for the rank and dense rank are giving me same number for all 3 mnt it is generating 1 instead of 123 (note for rank function I understand) but dense rank should not do that
I tried to convey the issue as efficiently as I could please let me know if there is any clarifications I can provide.
any help appreciated
thanks
SELECT * EXCEPT(ct) FROM (
SELECT *, COUNT() OVER(PARTITION BY mnt) AS ct
) WHERE ct=1 or zel='X'
This is the code snippet for the problem you mentioned. Use this in your code according to the logic.

ORACLE:SQL REGEXP_SUBSTR that returns the column value after 3rd semicolon and before the pipe whose value starts with D

ORACLE:SQL REGEXP_SUBSTR that returns the column value after 3rd semicolon and before the pipe whose value starts with D
example:
column value: 'D:5:testps:12345|blah blah/blah'
expected value: 12345
regex that would filter values which start with D and returns value after 3rd semicolon and before pipe
select column_value,
regexp_substr(column_value, '([^:]*:){3}([^|]*)\|', 1, 1, null, 2) as str
from (
select 'D:5:testps:12345|blah blah/blah' as column_value from dual union all
select 'XD:5:testps:12345|blahblah/blah' as column_value from dual
)
where column_value like 'D%'
;
COLUMN_VALUE STR
------------------------------- -----
D:5:testps:12345|blah blah/blah 12345
You can use regex_replace:
select case when col like 'D%'
then regexp_replace(col, '^([^:]*:){3}(\d+)\|.*', '\2') num
end
from t;
Produces:
12345
it produces null if the col doesn't start with D