BigQuery - Group by on arrays











up vote
0
down vote

favorite












I want to group by on an array.



sample query:



#standardSQL
WITH `project.dataset.table` AS (
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
)
SELECT
description,
ARRAY(
SELECT AS STRUCT
JSON_EXTRACT_SCALAR(kv, '$.key') key,
JSON_EXTRACT_SCALAR(kv, '$.value') value
FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
) labels,
cost
FROM `project.dataset.table`


Result of the above query:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.323316
department hrd
2 compute application scaled-server 0.342825
department hrd


I want result like below:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.666141
department hrd









share|improve this question
























  • what is the logic of grouping? is it - all keys and values should be the same in order to be grouped?
    – Mikhail Berlyant
    Nov 19 at 20:20










  • I just updated the question, the intention is, the description column has what service is this like VM, cloudSQL, BQ and the label column has tell us the information about the labels like vm labels (env=prod) SO, end of the day if I want to get cost for compute or vm which has the env=staging . Thats why I need to group by on DESCRIPTION first then key values
    – SQLadmin
    Nov 19 at 20:23

















up vote
0
down vote

favorite












I want to group by on an array.



sample query:



#standardSQL
WITH `project.dataset.table` AS (
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
)
SELECT
description,
ARRAY(
SELECT AS STRUCT
JSON_EXTRACT_SCALAR(kv, '$.key') key,
JSON_EXTRACT_SCALAR(kv, '$.value') value
FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
) labels,
cost
FROM `project.dataset.table`


Result of the above query:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.323316
department hrd
2 compute application scaled-server 0.342825
department hrd


I want result like below:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.666141
department hrd









share|improve this question
























  • what is the logic of grouping? is it - all keys and values should be the same in order to be grouped?
    – Mikhail Berlyant
    Nov 19 at 20:20










  • I just updated the question, the intention is, the description column has what service is this like VM, cloudSQL, BQ and the label column has tell us the information about the labels like vm labels (env=prod) SO, end of the day if I want to get cost for compute or vm which has the env=staging . Thats why I need to group by on DESCRIPTION first then key values
    – SQLadmin
    Nov 19 at 20:23















up vote
0
down vote

favorite









up vote
0
down vote

favorite











I want to group by on an array.



sample query:



#standardSQL
WITH `project.dataset.table` AS (
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
)
SELECT
description,
ARRAY(
SELECT AS STRUCT
JSON_EXTRACT_SCALAR(kv, '$.key') key,
JSON_EXTRACT_SCALAR(kv, '$.value') value
FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
) labels,
cost
FROM `project.dataset.table`


Result of the above query:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.323316
department hrd
2 compute application scaled-server 0.342825
department hrd


I want result like below:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.666141
department hrd









share|improve this question















I want to group by on an array.



sample query:



#standardSQL
WITH `project.dataset.table` AS (
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
)
SELECT
description,
ARRAY(
SELECT AS STRUCT
JSON_EXTRACT_SCALAR(kv, '$.key') key,
JSON_EXTRACT_SCALAR(kv, '$.value') value
FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
) labels,
cost
FROM `project.dataset.table`


Result of the above query:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.323316
department hrd
2 compute application scaled-server 0.342825
department hrd


I want result like below:



Row description labels.key      labels.value    cost     
1 compute application scaled-server 0.666141
department hrd






arrays group-by google-cloud-platform google-bigquery






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share|improve this question













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share|improve this question








edited Nov 19 at 20:28









Mikhail Berlyant

54k43064




54k43064










asked Nov 19 at 20:16









SQLadmin

323215




323215












  • what is the logic of grouping? is it - all keys and values should be the same in order to be grouped?
    – Mikhail Berlyant
    Nov 19 at 20:20










  • I just updated the question, the intention is, the description column has what service is this like VM, cloudSQL, BQ and the label column has tell us the information about the labels like vm labels (env=prod) SO, end of the day if I want to get cost for compute or vm which has the env=staging . Thats why I need to group by on DESCRIPTION first then key values
    – SQLadmin
    Nov 19 at 20:23




















  • what is the logic of grouping? is it - all keys and values should be the same in order to be grouped?
    – Mikhail Berlyant
    Nov 19 at 20:20










  • I just updated the question, the intention is, the description column has what service is this like VM, cloudSQL, BQ and the label column has tell us the information about the labels like vm labels (env=prod) SO, end of the day if I want to get cost for compute or vm which has the env=staging . Thats why I need to group by on DESCRIPTION first then key values
    – SQLadmin
    Nov 19 at 20:23


















what is the logic of grouping? is it - all keys and values should be the same in order to be grouped?
– Mikhail Berlyant
Nov 19 at 20:20




what is the logic of grouping? is it - all keys and values should be the same in order to be grouped?
– Mikhail Berlyant
Nov 19 at 20:20












I just updated the question, the intention is, the description column has what service is this like VM, cloudSQL, BQ and the label column has tell us the information about the labels like vm labels (env=prod) SO, end of the day if I want to get cost for compute or vm which has the env=staging . Thats why I need to group by on DESCRIPTION first then key values
– SQLadmin
Nov 19 at 20:23






I just updated the question, the intention is, the description column has what service is this like VM, cloudSQL, BQ and the label column has tell us the information about the labels like vm labels (env=prod) SO, end of the day if I want to get cost for compute or vm which has the env=staging . Thats why I need to group by on DESCRIPTION first then key values
– SQLadmin
Nov 19 at 20:23














1 Answer
1






active

oldest

votes

















up vote
1
down vote



accepted










#standardSQL
WITH `project.dataset.table` AS (
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
), temp AS (
SELECT description, labels, SUM(cost) AS cost
FROM `project.dataset.table`
GROUP BY description, labels
)
SELECT
description,
ARRAY(
SELECT AS STRUCT
JSON_EXTRACT_SCALAR(kv, '$.key') key,
JSON_EXTRACT_SCALAR(kv, '$.value') value
FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
) labels,
cost
FROM temp





share|improve this answer





















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    1 Answer
    1






    active

    oldest

    votes








    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes








    up vote
    1
    down vote



    accepted










    #standardSQL
    WITH `project.dataset.table` AS (
    SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
    SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
    ), temp AS (
    SELECT description, labels, SUM(cost) AS cost
    FROM `project.dataset.table`
    GROUP BY description, labels
    )
    SELECT
    description,
    ARRAY(
    SELECT AS STRUCT
    JSON_EXTRACT_SCALAR(kv, '$.key') key,
    JSON_EXTRACT_SCALAR(kv, '$.value') value
    FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
    UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
    ) labels,
    cost
    FROM temp





    share|improve this answer

























      up vote
      1
      down vote



      accepted










      #standardSQL
      WITH `project.dataset.table` AS (
      SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
      SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
      ), temp AS (
      SELECT description, labels, SUM(cost) AS cost
      FROM `project.dataset.table`
      GROUP BY description, labels
      )
      SELECT
      description,
      ARRAY(
      SELECT AS STRUCT
      JSON_EXTRACT_SCALAR(kv, '$.key') key,
      JSON_EXTRACT_SCALAR(kv, '$.value') value
      FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
      UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
      ) labels,
      cost
      FROM temp





      share|improve this answer























        up vote
        1
        down vote



        accepted







        up vote
        1
        down vote



        accepted






        #standardSQL
        WITH `project.dataset.table` AS (
        SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
        SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
        ), temp AS (
        SELECT description, labels, SUM(cost) AS cost
        FROM `project.dataset.table`
        GROUP BY description, labels
        )
        SELECT
        description,
        ARRAY(
        SELECT AS STRUCT
        JSON_EXTRACT_SCALAR(kv, '$.key') key,
        JSON_EXTRACT_SCALAR(kv, '$.value') value
        FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
        UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
        ) labels,
        cost
        FROM temp





        share|improve this answer












        #standardSQL
        WITH `project.dataset.table` AS (
        SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.323316 cost UNION ALL
        SELECT 'compute' description, '[{"key":"application","value":"scaled-server"},{"key":"department","value":"hrd"}]' labels, 0.342825 cost
        ), temp AS (
        SELECT description, labels, SUM(cost) AS cost
        FROM `project.dataset.table`
        GROUP BY description, labels
        )
        SELECT
        description,
        ARRAY(
        SELECT AS STRUCT
        JSON_EXTRACT_SCALAR(kv, '$.key') key,
        JSON_EXTRACT_SCALAR(kv, '$.value') value
        FROM UNNEST(SPLIT(labels, '},{')) kv_temp,
        UNNEST([CONCAT('{', REGEXP_REPLACE(kv_temp, r'^[{|}]$', ''), '}')]) kv
        ) labels,
        cost
        FROM temp






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Nov 19 at 20:33









        Mikhail Berlyant

        54k43064




        54k43064






























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