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.
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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 have a BigQuery scheduled query that is failing with the following error:
Not found: Dataset bunny25256:dataset1 was not found in location US at [5:15]; JobID: 431285762868:scheduled_query_635d3a29-0000-22f2-888e-14223bc47b46
I scheduled the query via the SQL Workspace. When I run the query in the workspace, it works fine. The dataset and everything else that I have created is in the same region: us-central1.
Any ideas on what the problem could be, and how I could fix it or work around it?
There's nothing special about the query, it computes some statistics on a table in dataset1 and puts it in dataset2.
When you submit a query, you submit it to BQ at a given location. The dataset you created lives in us-central1 but your query was submitted to us. The location us and us-central1 are not the same. Change your scheduled query to run in us-central1. See docs on location for more info.
Dataset is not provided correctly- it should be in formate project.dataset.table
try running below in big query
select * from bunny25256:dataset1
you should provide bunny25256:dataset1.table
I'm currently migrating around 200 tables in Bigquery (BQ) from one dataset (FROM_DATASET) to another one (TO_DATASET). Each one of these tables has a _TABLE_SUFFIX corresponding to a date (I have three years of data for each table). Each suffix contains typically between 5 GB and 80 GB of data.
I'm doing this using a Python script that asks BQ, for each table, for each suffix, to run the following query:
-- example table=T_SOME_TABLE, suffix=20190915
CREATE OR REPLACE TABLE `my-project.TO_DATASET.T_SOME_TABLE_20190915`
COPY `my-project.FROM_DATASET.T_SOME_TABLE_20190915`
Everything works except for three tables (and all their suffixes) where the copy job fails at each _TABLE_SUFFIX with this error:
An internal error occurred and the request could not be completed. This is usually caused by a transient issue. Retrying the job with back-off as described in the BigQuery SLA should solve the problem: https://cloud.google.com/bigquery/sla. If the error continues to occur please contact support at https://cloud.google.com/support. Error: 4893854
Retrying the job after some time actually works but of course is slowing the process. Is there anyone who has an idea on what the problem might be?
Thanks.
It turned out that those three problematic tables were some legacy ones with lots of columns. In particular, the BQ GUI shows this warning for two of them:
"Schema and preview are not displayed because the table has too many
columns and may cause the BigQuery console to become unresponsive"
This was probably the issue.
In the end, I managed to migrate everything by implementing a backoff mechanism to retry failed jobs.
BigQuery project has one dataset and around 1005 tables.I am running query to get partition metadata for tables.
Query is
SELECT count(*) FROM bq-tf-test-500-298.unravelFr8ks4.INFORMATION_SCHEMA.PARTITIONS;
Following error getting INFORMATION_SCHEMA.PARTITIONS query attempted to read too many tables. Please add more restrictive filters
Attaching
Query screenshot
Partitions view is currently at Preview state at the moment. It is possible that the tables it can read are limited. As the message suggests, a workaround of adding more filters could run your query.
I've ran into a situation where a BigQuery table has become stale. I can't even run a count query on it. This occurred right after I ran the first load job.
For each query I run I get an error:
Error: Unexpected. Please try again.
See for example Job IDs: job_OnkmhMzDeGpAQvG4VLEmCO-IzoY, job_y0tHM-Zjy1QSZ84Ek_3BxJ7Zg7U
The error is "illegal field name". It looks like the field 69860107_VID is causing it. BigQuery doesn't support column rename, so if you want to change the schema you'll need to recreate the table.
I've filed a bug to fix the internal error -- this should have been blocked when the table was created.