I have linked my google analytics account with big query and trying to create a schedule in big query to get my desired output on regular basis, but while saving the schedule query the "Schedule query error" occurred. As this is something which I could not understand.
I want to run query multiple time so that I could get updated live report of my data.
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I've got data buckets setup in GCS and using BigQuery to run all my .csv files from that bucket to build a table. That works flawlessly. I made a simple deduplication query that when manually run, selects only distinct rows and creates a new table with "DeDupe" appended (Code below). That runs flawlessly.
CREATE OR REPLACE TABLE
`project-name-123456.dataset_2022.dataset 2022 DeDuped` AS
SELECT
DISTINCT *
FROM
`project-name-123456.dataset_2022.dataset 2022`
The issue I am having is with scheduling that query. Every time it tries to run I get the error "Error status: Not found: Dataset project-name-123456:dataset_2022 was not found in location US; JobID: project-name-123456:628d7766-0000-2d36-a82f-94eb2c0a664a"
The only thing I can figure is that I have my data location for the dataset as "us-central1" as it has a free tier. And when I go to my scheduled query, whether I select the same data location, or "Default" it always changes to "US Multiple".
Is there a way to fix this?
Or do I need to create my dataset in "US Multiple"?
Trying to cut down on costs as much as possible by keeping it in the us-central1
EDIT: Seems like I just needed to delete and recreate the scheduled query again. Chatted with Google Support and they sorted it. Sorry all!
When trying to schedule a query in BQ, I am getting the following error:
Error code 3 : Query error: Not found: Dataset was not found in location EU at [2:1]
Is this a permissions issue?
This sounds like a case of the scheduled query being configured to run in a different region than either the referenced tables, or the destination table of the query.
Put another way, BigQuery requires a consistent location for reading and writing, and does not allow a query in location A to write results in location B.
https://cloud.google.com/bigquery/docs/scheduling-queries has some additional information about this.
I integrated my Firestore solution with BigQuery. With every Firestore Insert/Update/Delete operation the Data gets transferred to BigQuery. I am trying to schedule a Query that runs daily and creates a view of the Firestore data.
Everytime no matter what Query I try to schedule I get the following error : "Error creating scheduled query: dq"
The queries I try to schedule, run perfectly from the editor and I am able successfully to insert the data with an insert statement into the destination table. I am also the owner of the project so I am supposed to have all permission rights.
I appreciate your help!
Example Query Below:
"select
table1.column1,
table1.column2
from projectid.datasetID.exampletable table1"
Schedule Configuration below:
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I had the same issue and was able to resolve by trying a different browser ( chrome) and then leaving the Data location region as default in the New schedules query menu.
I'm trying to run a query and add its results to an existing destination table, but it doesn't give me the option to do it under the query settings.
I can only run it and save the results once it has runned. However, I need to schedule this query to feed that table daily but the destination table option is not available in that case either.
I know the query I'm trying to schedule is a bit more complicated than other I've done. It's longer and using the WITH clause.
Any ideas what other alternatives I have and why this is happening?
In one of my PHP application, I need to show a report based on the aggregate data, which is fetched from BigQuery. I am planning to execute the queries using a PHP cron job then insert data to MySQL table from which the report will fetch data. Is there any better way of doing this like directly insert the data to MySQL without an application layer in between ?
Also I am interested in real time data, but the daily cron only update data once and there will be some mismatch of the counts with actual data if I check it after some time. If I run hourly cron jobs, I am afraid the data reading charges will be high as I am processing a dataset which is 20GB. Also my report cannot be fetched fro Bigquery itself and it needs to have data from MySQL database.