google-bigquery

问题 Is there any way in Bigquery to group by not the absolute value but a range of values? I have a query that looks in a product table with 4 different numeric group by's. What I am looking for is an efficient way to group by in a way like: group by "A±1000" etc. or "A±10%ofA". thanks in advance, 回答1: You can generate a column as a "named range" then group by the column. As an example for your A+-1000 case: with data as ( select 100 as v union all select 200 union all select 2000 union all

问题 We have enabled BigQuery feature for our Firebase project , since last week firebase team announced that Crashlytics is moved from Beta to Prod release , so I was thinking this data should be available in BigQuery in some form. But I was not able to see any Crash event in my BigQuery table even the app crashed a couple of time. So does anybody know how to extract the crashlytics report from Firebase for custom reporting solution. 回答1: Crashlytics data is not currently available in BigQuery

问题 This script gives me an error after ~11 steps: DECLARE steps INT64 DEFAULT 1; LOOP CREATE OR REPLACE TEMP TABLE countme AS (SELECT steps, 1 x, [1,2,3] y); SET steps = steps+1; IF steps=30 THEN LEAVE; END IF; END LOOP; Exceeded rate limits: too many table update operations for this table. For more information, see https://cloud.google.com/bigquery/troubleshooting-errors Even if this is a temp table - what can I do instead? 回答1: Instead of using a TEMP TABLE , hold the results on a temp

问题 I have a table in Bigquery with data every 30 minutes, I want to show the data every 5 minutes, currently I am using this query to fill the null values with the existing values SELECT SETTLEMENTDATE,DUID, LAST_VALUE(SCADAVALUE ignore nulls) OVER ( PARTITION BY DUID ORDER BY SETTLEMENTDATE) AS SCADAVALUE from x instead, is it possible to do Linear interpolation, something like this I have the column settlement date which is by 5 minutes, the column SCADAVALUEORIGIN Which has a value very 30

问题 Given a table of intervals, can I efficiently query for the number of currently open intervals at the start of each interval (including the current interval itself)? For example, given the following table: start_time end_time 1 10 2 5 3 4 5 6 7 11 19 20 I want the following output: start_time count 1 1 2 2 3 3 5 3 7 2 19 1 On small datasets, I can solve this problem by joining the dataset against itself: WITH intervals AS ( SELECT 1 AS start, 10 AS end UNION ALL SELECT 2, 5 UNION ALL SELECT 3

问题 I have a table that is continuously receiving streaming inserts (potentially thousands per second). I am interested in using the Update functionality (via API calls) to add a column. Can I call Update to add a column to an existing table, while data is still being inserted, without concern for loss of data? For reference, here is the code I am planning on using to add a column to the table: func addColumnToTable(service *bigquery.Service, project, dataset, table string, newCols map[string

问题 I have a table that is continuously receiving streaming inserts (potentially thousands per second). I am interested in using the Update functionality (via API calls) to add a column. Can I call Update to add a column to an existing table, while data is still being inserted, without concern for loss of data? For reference, here is the code I am planning on using to add a column to the table: func addColumnToTable(service *bigquery.Service, project, dataset, table string, newCols map[string

问题 I need to insert 1 million (and more) records from a SQL Server table to a BigQuery table, that is present in SQL Server as "linked server" via CDATA odbc driver with remoting daemon in it (documentation). Also, source table might have no column with number of row, Id etc. For now, I can insert 1 record per second into BigQuery with this driver, using this query: INSERT INTO [GBQ].[CDataGoogleBigQuery].[GoogleBigQuery].[natality] SELECT * FROM [natality].[dbo].[natality] GO But for such a

问题 I am seeking a code snippet for implementing oAuth 2.0 authentication using python to connect to GCP Big Query service. I am using Google cloud shell to write the python code. But the access token I am receiving bad request. access_token = google.fetch_token(token_url=token_url,client_id=client_id,client_secret=client_secret,authorization_response=redirect_response). Also I need to automate this process so manually pasting the redirect_response needs to be avoided. 回答1: It is recommended that

问题 I am seeking a code snippet for implementing oAuth 2.0 authentication using python to connect to GCP Big Query service. I am using Google cloud shell to write the python code. But the access token I am receiving bad request. access_token = google.fetch_token(token_url=token_url,client_id=client_id,client_secret=client_secret,authorization_response=redirect_response). Also I need to automate this process so manually pasting the redirect_response needs to be avoided. 回答1: It is recommended that