I have dataset having name "data". I am getting an error 404 Not Found when trying to delete this dataset using Java API.
I am able to create and delete table under this dataset. I wanted to delete this dataset but it returning an error.
I tried this on Google Bigquery web console there I am getting an error "Unable to find dataset:data"
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I'm getting error while I'm trying to transfer file from Google cloud storage to google big query. This is the error :
Error while reading data, error message: CSV table references column position 101, but line starting at postion:2611 contains only 101 columns
There was a new field that was recently added, so we believe this may be the issue b/c out of many loads, only 3 per day are working.
When I read this error, I understand it was the line starting in the incorrect column - but correct me if I am wrong.
Can this be corrected?
BigQuery has started throwing up this error
"Error creating scheduled query: Cannot create a transfer in
JURISDICTION_US when destination dataset is located in
JURISDICTION_EU".
My datasets are all in the EU but I don't understand why it is trying to create a transfer in the US.
Has anyone had a similar issue and been able to resolve it?
I ran into this issue and did the following:
"In the UI, under More -> Query Settings, then look for Processing Location down the bottom before Advanced."
Then I had to reload the page for it to work.
One of our BQ datasets is no longer accessible via BQ Web UI and Cloud Shell.
It shows message "Not found: Dataset project:dataset" immediately upon opening the UI.
We tried a couple of bq shell commands as well:
bq ls: successfully lists the "missing" dataset
bq ls dataset: returns "BigQuery error in ls operation: Not found: Dataset project:dataset"
But we were able to query the views inside and access the contents of the dataset via PowerBI.
IAM Permission: Owner
Anyone encountering similar issue?
I had a similar issue - the BigQuery client library would list the dataset when I called ListDatasets(), but attempting to call UploadCsv() with the same dataset ID would return 404 Dataset not found.
Turns out it was because I had selected 'asia-northeast1' as the Data Location when creating the dataset - it doesn't tell you when you create the dataset that this region is treated differently, but a line in the BigQuery docs says:
If your data is in a location other than the US or EU multi-regional
location, you must specify the location when you perform actions such
as loading data, querying data, and exporting data.
Re-creating the dataset in the US region fixed my issue. Or you could use the options in the docs above to specify the 'asia-northeast1' location everytime instead.
At that time, there was a caching issue that caused this to happen and was already resolved.
I am trying to use GoogleDataTransfer to import the DFP data to BQ. When I create the transfer method I get an error without any details:
Error in creating a new transfer
Does anyone know why I get the error message? I use the correct Network ID.
I am trying to work with the github data which has been uploaded to Google's big data. I ran a few queries (which generated a lot of rows -
eg: a query SELECT actor_attributes_login, repository_watchers , repository_forks FROM [githubarchive:github.timeline]
where repository_watchers > 2 and REGEXP_MATCH(repository_created_at, '2012-')
ORDER BY actor_attributes_login;
The answer had more than 2,20,000 rows. When I attempted to download to CSV , it said
Download Unavailable
This result set contains too many rows for direct download. Please use "Save as Table" and then export the resulting table.
When I tried to do it as Save as Table I got the following error:
Access Denied: Job publicdata:job_c2338ba91e494b21970854e13cdc4b2a: RUN_JOB
Also, I ran queries where I limited the number of rows to 200 or so, even in such cases I got the error as mentioned above. However I was able to download it as CSV.
Any solution to this problem?
#Anerudh You don't have access to modify the publicdata samples dataset. Create a brand new dataset, and try to save your query results to a new table in that dataset.