cannot pass more than 100 arguments to a function to json_build_object, trying to build json from columns of a table.but it is giving me error that cannot pass more than 100 arguments, but argument count not exceeded 100.
code as follows:
array_agg(json_build_object
(
'QuotaName',quota_name,
'QuotaId',quota_id,
'CellId',COALESCE(cell_id,0),
'ValidPanelistCountOtherMedias',COALESCE(valid_panelist_count,0) ,
'ValidPanelistCountMM',COALESCE(mm_valid_panelist_count,0) ,
'Gender',COALESCE(replace(replace(replace(gender,',',':'),']',''),'[',''),''),
'Occupation',COALESCE(replace(replace(replace(occupation_id,',',':'),']',''),'[',''),''),
'Industry',COALESCE(replace(replace(replace(industry_id,',',':'),']',''),'[',''),''),
'Prefecture',COALESCE(replace(replace(replace(prefecture_id,',',':'),']',''),'[',''),''),
'Age1',COALESCE(replace(replace(replace(age,',',':'),']',''),'[',''),''),
'Age2',COALESCE(replace(replace(replace(age2,',',':'),']',''),'[',''),''),
'MaritalStatus',COALESCE(replace(replace(replace(marital_status,',',':'),']',''),'[',''),''),
'HouseHoldIncome',COALESCE(replace(replace(replace(house_income_id,',',':'),']',''),'[',''),''),
'PersonalIncome',COALESCE(replace(replace(replace(personal_income_id,',',':'),']',''),'[',''),''),
'hasChild',COALESCE(replace(replace(replace(has_child,',',':'),']',''),'[',''),''),
'MediaId',COALESCE(replace(replace(replace(media_id,',',':'),']',''),'[',''),''),
'DeviceUsed',COALESCE(replace(replace(replace(device_type,',',':'),']',''),'[',''),''),
'PanelistStatus','',
'IR1', COALESCE(ir_1,1) ,
'IR2', COALESCE(ir_2,1) ,
'IR3', COALESCE(ir_3,1) ,
'Population',COALESCE(population,0),
'MainSurveySampleHopes', COALESCE(sample_hope_main_survey,0) ,
'ScreeningSurveySampleHopes', COALESCE(sample_hope_main_scr,0),
'ParticipateIntentionMM' ,COALESCE(participate_intention_mm,0) ,
'ParticipateIntentionOthers' ,COALESCE(participate_intention,0) ,
'AcquisitionRate', COALESCE(acquisition_rate,0) ,
'PCEnvironment', COALESCE(case when survey_type >3 then 1 else pc_env end,0) ,
'NetworkEnvironment',COALESCE(case when survey_type >3 then 1 else network_env end,0) ,
'PCEnvironmentMM',COALESCE(case when survey_type >3 then 1 else pc_env_mm end,0),
'NetworkEnvironmentMM',COALESCE(case when survey_type >3 then 1 else network_env_mm end,0) ,
'ControlQuotient',COALESCE(control_quotient,0)/100 ,
'ResponseofSCR24' , COALESCE(res_of_scr_24,0),
'ResponseofSCR48' ,COALESCE(res_of_scr_48,0) ,
'ResponseofSCR72' ,COALESCE(res_of_scr_72,0) ,
'ResponseofSCR168' ,COALESCE(res_of_scr_168,0),
'ResponseofMAIN24' ,COALESCE(res_of_main_24,0) ,
'ResponseofMAIN48' , COALESCE(res_of_main_48,0) ,
'ResponseofMAIN72' , COALESCE(res_of_main_72,0) ,
'ResponseofMAIN168' , COALESCE(res_of_main_168,0),
'ResponseofSCR24MM' ,COALESCE(res_of_scr_24_mm,0) ,
'ResponseofSCR48MM' , COALESCE(res_of_scr_48_mm,0),
'ResponseofSCR72MM' , COALESCE(res_of_scr_72_mm,0) ,
'ResponseofSCR168MM' ,COALESCE(res_of_scr_168_mm,0) ,
'ResponseofMAIN24MM' ,COALESCE(res_of_main_24_mm,0),
'ResponseofMAIN48MM' ,COALESCE(res_of_main_48_mm,0),
'ResponseofMAIN72MM' ,COALESCE(res_of_main_72_mm,0),
'ResponseofMAIN168MM' ,COALESCE(res_of_main_168_mm,0),
'ResponseofMAINIntegrationType',0.9,-- this value is based on answer_estimate_list_details_v3
'ParticipationIntention',COALESCE(participate_intention,0),
'MostRecentParticipation',COALESCE(most_recent_exclusions,0)
I had the exact same problem earlier today. After some research, I found that JSONB results can be concatenated. So you should use JSONB_BUILD_OBJECT instead of JSON_BUILD_OBJECT. Then, split things up so you have multiple JSONB_BUILD_OBJECT calls, which are combined with '||'. You'll also need JSONB_AGG for converting the results into an array.
JSONB_AGG(
JSONB_BUILD_OBJECT (
'QuotaName',quota_name,
'QuotaId',quota_id,
'CellId',COALESCE(cell_id,0),
'ValidPanelistCountOtherMedias',COALESCE(valid_panelist_count,0) ,
'ValidPanelistCountMM',COALESCE(mm_valid_panelist_count,0) ,
'Gender',COALESCE(replace(replace(replace(gender,',',':'),']',''),'[',''),''),
'Occupation',COALESCE(replace(replace(replace(occupation_id,',',':'),']',''),'[',''),''),
'Industry',COALESCE(replace(replace(replace(industry_id,',',':'),']',''),'[',''),''),
'Prefecture',COALESCE(replace(replace(replace(prefecture_id,',',':'),']',''),'[',''),''),
'Age1',COALESCE(replace(replace(replace(age,',',':'),']',''),'[',''),''),
'Age2',COALESCE(replace(replace(replace(age2,',',':'),']',''),'[',''),''),
'MaritalStatus',COALESCE(replace(replace(replace(marital_status,',',':'),']',''),'[',''),''),
'HouseHoldIncome',COALESCE(replace(replace(replace(house_income_id,',',':'),']',''),'[',''),''),
'PersonalIncome',COALESCE(replace(replace(replace(personal_income_id,',',':'),']',''),'[',''),''),
'hasChild',COALESCE(replace(replace(replace(has_child,',',':'),']',''),'[',''),''),
'MediaId',COALESCE(replace(replace(replace(media_id,',',':'),']',''),'[',''),''),
'DeviceUsed',COALESCE(replace(replace(replace(device_type,',',':'),']',''),'[',''),''),
'PanelistStatus','',
'IR1', COALESCE(ir_1,1) ,
'IR2', COALESCE(ir_2,1) ,
'IR3', COALESCE(ir_3,1) ,
'Population',COALESCE(population,0),
'MainSurveySampleHopes', COALESCE(sample_hope_main_survey,0) ,
'ScreeningSurveySampleHopes', COALESCE(sample_hope_main_scr,0),
'ParticipateIntentionMM' ,COALESCE(participate_intention_mm,0) ,
'ParticipateIntentionOthers' ,COALESCE(participate_intention,0) ,
'AcquisitionRate', COALESCE(acquisition_rate,0) ,
'PCEnvironment', COALESCE(case when survey_type >3 then 1 else pc_env end,0) ,
'NetworkEnvironment',COALESCE(case when survey_type >3 then 1 else network_env end,0) ,
'PCEnvironmentMM',COALESCE(case when survey_type >3 then 1 else pc_env_mm end,0),
'NetworkEnvironmentMM',COALESCE(case when survey_type >3 then 1 else network_env_mm end,0) ,
'ControlQuotient',COALESCE(control_quotient,0)/100 ,
'ResponseofSCR24' , COALESCE(res_of_scr_24,0),
'ResponseofSCR48' ,COALESCE(res_of_scr_48,0) ,
'ResponseofSCR72' ,COALESCE(res_of_scr_72,0) ,
'ResponseofSCR168' ,COALESCE(res_of_scr_168,0),
'ResponseofMAIN24' ,COALESCE(res_of_main_24,0) ,
'ResponseofMAIN48' , COALESCE(res_of_main_48,0) ,
'ResponseofMAIN72' , COALESCE(res_of_main_72,0) ,
'ResponseofMAIN168' , COALESCE(res_of_main_168,0),
'ResponseofSCR24MM' ,COALESCE(res_of_scr_24_mm,0) ,
'ResponseofSCR48MM' , COALESCE(res_of_scr_48_mm,0),
'ResponseofSCR72MM' , COALESCE(res_of_scr_72_mm,0) ,
'ResponseofSCR168MM' ,COALESCE(res_of_scr_168_mm,0) ,
'ResponseofMAIN24MM' ,COALESCE(res_of_main_24_mm,0),
'ResponseofMAIN48MM' ,COALESCE(res_of_main_48_mm,0),
'ResponseofMAIN72MM' ,COALESCE(res_of_main_72_mm,0),
'ResponseofMAIN168MM' ,COALESCE(res_of_main_168_mm,0)
) ||
JSONB_BUILD_OBJECT (
'ResponseofMAINIntegrationType',0.9,-- this value is based on answer_estimate_list_details_v3
'ParticipationIntention',COALESCE(participate_intention,0),
'MostRecentParticipation',COALESCE(most_recent_exclusions,0)
)
)
I got this from documentation here - https://www.postgresql.org/docs/current/functions-json.html#FUNCTIONS-JSONB-OP-TABLE
Look for "jsonb || jsonb"
I have strings such as M1 M3 M4 M14 M30 M40 etc (really any int 2-3 digits after a letter)
When I do " ORDER BY name " this returns:
M1, M14, M3, M30, M4, M40
When I want:
M1, M3, M4, M14, M30, M40
Its treating the whole thing as a string but I want to treat it as string + int
Any ideas?
You could use SUBSTR and CAST AS UNSIGNED/SIGNED within ORDER BY:
SELECT * FROM table_name ORDER BY
SUBSTR(col_name FROM 1 FOR 1),
CAST(SUBSTR(col_name FROM 2) AS UNSIGNED)
If there can be multiple characters at the beginning of the string, for example like 'M10', 'MTR10', 'ABCD50', 'JL8', etc..., you basically have to get the substring of the name from the first position of a number.
Unfortunately MySQL does not support that kind of REGEXP operation (only a boolean value is returned, not the actual match).
You can use this solution to emulate it:
SELECT name
FROM tbl
ORDER BY CASE WHEN ASCII(SUBSTRING(name,1)) BETWEEN 48 AND 57 THEN
CAST(name AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,2)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,1)
WHEN ASCII(SUBSTRING(name,3)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,2)
WHEN ASCII(SUBSTRING(name,4)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,3)
WHEN ASCII(SUBSTRING(name,5)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,4)
WHEN ASCII(SUBSTRING(name,6)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,5)
WHEN ASCII(SUBSTRING(name,7)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,6)
WHEN ASCII(SUBSTRING(name,8)) BETWEEN 48 AND 57 THEN
SUBSTRING(name,1,7)
END,
CASE WHEN ASCII(SUBSTRING(name,1)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,1) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,2)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,2) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,3)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,3) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,4)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,4) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,5)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,5) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,6)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,6) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,7)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,7) AS UNSIGNED)
WHEN ASCII(SUBSTRING(name,8)) BETWEEN 48 AND 57 THEN
CAST(SUBSTRING(name,8) AS UNSIGNED)
END
This will order by the character part of the string first, then the extracted number part of the string as long as there are <=7 characters at the beginning of the string. If you need more, you can just chain additional WHENs to the CASE statement.
I couldn't get this working for my issue which was sorting MLS Numbers like below:
V12345
V1000000
V92832
The problem was V1000000 wasn't being valued higher than the rest even though it's bigger.
Using this solved my problem:
ORDER BY CAST(SUBSTR(col_name FROM 2) AS UNSIGNED) DESC
Just removed the SUBSTR(col_name FROM 1 FOR 1)
You can use:
order by name,SUBSTRING(name,1,LENGTH(name)-1)
It split number and letters as separately.
SELECT SUBSTRING_INDEX(SUBSTRING_INDEX(SUBSTRING_INDEX(SUBSTRING_INDEX(SUBSTRING_INDEX(SUBSTRING_INDEX(SUBSTRING_INDEX(
SUBSTRING_INDEX(SUBSTRING_INDEX(SUBSTRING_INDEX(col,'1', 1), '2', 1), '3', 1), '4', 1), '5', 1), '6', 1)
, '7', 1), '8', 1), '9', 1), '0', 1) as new_col
FROM table group by new_col;
Try remove the character with SUBSTR. Then use ABS to get the absolute value from field:
SELECT * FROM table ORDER BY ABS(SUBSTR(field,1));
Another method i used in my project is:
SELECT * FROM table_name ORDER BY LENGTH(col_name) DESC, col_name DESC LIMIT 1