I have load the entire json file into a STRING column of BigQuery table. Now I am trying to access the keys using JSON_EXTRACT_SCALAR function, but I am getting null result for the child keys which contain special character period(".") within their name.
Here's the snippet of the data:
{"server_received_time":"2019-01-17 15:00:00.482000","app":161,"device_carrier":null,"$schema":12,"city":"Caro","user_id":null,"uuid":"9018","event_time":"2019-01-17 15:00:00.045000","platform":"Web","os_version":"49","vendor_id":711,"processed_time":"2019-01-17 15:00:00.817195","user_creation_time":"2018-11-01 19:16:34.971000","version_name":null,"ip_address":null,"paying":null,"dma":null,"group_properties":{},"user_properties":{"location.radio":"ca","vendor.userTier":"free","vendor.userID":"a989","user.id":"a989","user.tier":"free","location.region":"ca"},"client_upload_time":"2019-01-17 15:00:00.424000","$insert_id":"e8410","event_type":"LOADED","library":"amp\/4.5.2","vendor_attribution_ids":null,"device_type":"Mac","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.493000","event_id":64,"location_lat":null,"os_name":"Chrome","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.authenticated":false,"content.subsection1":"regions","custom.DNT":true,"content.subsection2":"ca","referrer.url":"","content.url":"","content.type":"index","content.title":"","custom.cookiesenabled":true,"app.pillar":"feed","content.area":"news","app.name":"oc"},"data":{},"device_id":"","language":"English","device_model":"Mac","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":15,"device_family":"Mac","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.987000"}
{"server_received_time":"2019-01-17 15:00:00.913000","app":161,"device_carrier":null,"$schema":12,"city":"Fo","user_id":null,"uuid":"9052","event_time":"2019-01-17 15:00:00.566000","platform":"Web","os_version":"71","vendor_id":797,"processed_time":"2019-01-17 15:00:01.301936","user_creation_time":"2019-01-17 15:00:00.566000","version_name":null,"ip_address":null,"paying":null,"dma":"CO","group_properties":{},"user_properties":{"user.tier":"free"},"client_upload_time":"2019-01-17 15:00:00.157000","$insert_id":"69ae","event_type":"START WEB SESSION","library":"amp\/4.5.2","vendor_attribution_ids":null,"device_type":"Android","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.925000","event_id":1,"location_lat":null,"os_name":"Chrome Mobile","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.subsection3":"home","content.subsection2":"archives","content.title":"","content.keywords.subject":["Lifestyle\/Recreation and leisure\/Outdoor recreation\/Boating","Lifestyle\/Relationships\/Couples","General news\/Weather","Oddities"],"content.publishedtime":154687,"app.name":"oc","referrer.url":"","content.subsection1":"archives","content.url":"","content.authenticated":false,"content.keywords.location":["Ot"],"content.originaltitle":"","content.type":"story","content.authors":["Archives"],"app.pillar":"feed","content.area":"news","content.id":"1.49","content.updatedtime":1546878600538,"content.keywords.tag":["24 1","boat house","Ot","Rockcliffe","River","m"],"content.keywords.person":["Ber","Shi","Jea","Jean\u00e9tien"]},"data":{"first_event":true},"device_id":"","language":"English","device_model":"Android","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":15477,"device_family":"Android","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.810000"}
{"server_received_time":"2019-01-17 15:00:00.913000","app":16,"device_carrier":null,"$schema":12,"city":"","user_id":null,"uuid":"905","event_time":"2019-01-17 15:00:00.574000","platform":"Web","os_version":"71","vendor_id":7973,"processed_time":"2019-01-17 15:00:01.301957","user_creation_time":"2019-01-17 15:00:00.566000","version_name":null,"ip_address":null,"paying":null,"dma":"DCO","group_properties":{},"user_properties":{"user.tier":"free"},"client_upload_time":"2019-01-17 15:00:00.157000","$insert_id":"d045","event_type":"LOADED","library":"am-js\/4.5.2","vendor_attribution_ids":null,"device_type":"Android","device_manufacturer":null,"start_version":null,"location_lng":null,"server_upload_time":"2019-01-17 15:00:00.925000","event_id":2,"location_lat":null,"os_name":"Chrome Mobile","vendor_event_type":null,"device_brand":null,"groups":{},"event_properties":{"content.subsection3":"home","content.subsection2":"archives","content.subsection1":"archives","content.keywords.subject":["Lifestyle\/Recreation and leisure\/Outdoor recreation\/Boating","Lifestyle\/Relationships\/Couples","General news\/Weather","Oddities"],"content.type":"story","content.keywords.location":["Ot"],"app.pillar":"feed","app.name":"oc","content.authenticated":false,"custom.DNT":false,"content.id":"1.4","content.keywords.person":["Ber","Shi","Jea","Je\u00e9tien"],"content.title":"","content.url":"","content.originaltitle":"","custom.cookiesenabled":true,"content.authors":["Archives"],"content.publishedtime":1546878600538,"referrer.url":"","content.area":"news","content.updatedtime":1546878600538,"content.keywords.tag":["24 1","boat house","O","Rockcliffe","River","pr"]},"data":{},"device_id":"","language":"English","device_model":"Android","country":"","region":"","is_attribution_event":false,"adid":null,"session_id":1547737199081,"device_family":"Android","sample_rate":null,"idfa":null,"client_event_time":"2019-01-17 14:59:59.818000"}
Here's the sample query against the table:
SELECT
CAST(JSON_EXTRACT_SCALAR(data,'$.uuid')AS INT64) AS uuid_id,
CAST(JSON_EXTRACT_SCALAR(data,'$.event_time') AS TIMESTAMP) AS event_time,
JSON_EXTRACT_SCALAR(data,'$[event_properties].app.name') AS app_name,
JSON_EXTRACT_SCALAR(data,'$[user_properties].user.tier') AS user_tier
FROM
mytable
Above query give null result for app_name & user_tier columns even though data exists for them.
Following the BigQuery JSON function documentation - JSON Functions in Standard SQL
In cases where a JSON key uses invalid JSONPath characters, you can escape those characters using single quotes and brackets, [' '].
and running the query as:
SELECT
CAST(JSON_EXTRACT_SCALAR(data,"$.uuid_id")AS INT64) AS uuid_id,
CAST(JSON_EXTRACT_SCALAR(data,"$.event_time") AS TIMESTAMP) AS event_time,
JSON_EXTRACT_SCALAR(data,"$.event_properties.['app.name']") AS app_name,
JSON_EXTRACT_SCALAR(data,"$.user_properties.['user.tier']") AS user_tier
FROM
mytable
result into following error:
Invalid token in JSONPath at: .['app.name']
Please advise. What am I missing here?
You have an extra . before the [. Use
"$.event_properties['app.name']"
A proprietary third-party application stores JSON strings in it's database like this one:
{"state":"complete","timestamp":1614776473000}
I need the timestamp and found out that
DB2 offers JSON functions. Since it's stored as string in the PROF_VALUE column, I guess that converting with SYSTOOLS.JSON2BSON is required, before I can use JSON_VAL to fetch the timestamp:
SELECT SYSTOOLS.JSON_VAL(SYSTOOLS.JSON2BSON(PROF_VALUE), "timestamp", "f")
FROM EMPINST.PROFILE_EXTENSIONS ext
WHERE PROF_PROPERTY_ID = 'touchpointState'
This causes an error that timestamp is invalid in the used context ( SQLCODE=-206, SQLSTATE=42703, DRIVER=4.26.14). The same error is thown when I remove the JSON2BSON call like this
SELECT SYSTOOLS.JSON_VAL(PROF_VALUE, "timestamp", "f")
Also not working with the same error (different data-types):
SELECT SYSTOOLS.JSON_VAL(SYSTOOLS.JSON2BSON(PROF_VALUE), "state", "s:1000")
SELECT SYSTOOLS.JSON_VAL(PROF_VALUE) "state", "s:1000")
I don't understand this error. My syntax is like the documented JSON_VAL ( json-value , search-string , result-type) and it is the same like in the examples, where they show how to fetch the name field of an object.
I also played around a bit with JSON_TABLE to use raw input data for testing (instead of the database data), but it seems not suiteable for that.
SELECT *
FROM TABLE(SYSTOOLS.JSON_TABLE( SYSTOOLS.JSON2BSON('{"state":"complete","timestamp":1614776473000}'), 'state','s:32')) DATA
This gave me a table with one row: Type = 2 and Value = complete.
I had two problems in my query: First it seems that double quotes " are for object references. I wasn't aware that there is any difference, because in most databases I used yet, both single ' and double quotes " are equal.
The second problem is, that JSON_VAL needs to be called without SYSTOOLS, but the reference is still needed on SYSTOOLS.JSON2BSON(PROF_VALUE).
With those changes, the following query worked:
SELECT JSON_VAL(SYSTOOLS.JSON2BSON(PROF_VALUE), 'timestamp', 'f')
FROM EMPINST.PROFILE_EXTENSIONS ext
WHERE PROF_PROPERTY_ID = 'touchpointState'
Database :SNOWFLAKE
My table contains JSON data for example:
{
"bucket":"IN_Apps",
"bySeqno":56,
"cas":1527639206906626048,
"content":"eyJoaWdoQmluIjoiNTQ4NTA4MDkiLCJkb2N1bWVudFR5cGUiOiJJSU5ETyIsImNhcmRUeXBlIyayI6Ik1BU1RFUkNBUkQifQ==",
"event":"mutation",
"expiration":0,
"flags":33554432,
"key":"iin54850809",
"lockTime":0,
"partition":948,
"revSeqno":1,
"vBucketUuid":137987627737694
}
when i tried to parse it.
select
parse_json:bucket::string as bucket ,
parse_json:bySeqno::string as bySeqno ,
parse_json:cas::INT as cas ,
parse_json:content::string as content ,
parse_json:event::string as event
,parse_json:expiration::string as expiration
,parse_json:flags::string as flags
,parse_json:key::string as key
,parse_json:lockTime::string as lockTime
,parse_json:partition::string as partition
,parse_json:revSeqno::string as revSeqno
,parse_json:vBucketUuid::string as vBucketUuid
from STG_YS_APPS v
but it is throwing error like.
SQL compilation error: error line 2 at position 0 invalid identifier > >'PARSE_JSON'
may someone please help me.
Answer with a known schema
Update: Since you provided schema, which shows a VAR column of VARIANT type, here's what you need, couldn't be simpler:
select
var:bucket::string as bucket,
var:bySeqno::string as bySeqno,
var:cas::int as cas
...
from STG_YS_APPS v
Below the answer before the schema was known
I'll assume you have a VARCHAR (or similar) column in your table that is called json, and stores the values you presented. You didn't provide the schema, so please adjust the column name as necessary.
You're not using PARSE_JSON as a function in your SQL. You should write something like
select
parse_json(json):bucket::string as bucket,
parse_json(json):bySeqno::string as bySeqno,
parse_json(json):cas::int as cas
...
from STG_YS_APPS v