blink_features dataset stuck since May
See original GitHub issueThe blink_features
dataset hasn’t been updated since May. It’s powered by two scheduled queries:
- the
features
table is generated by processing the entirepages
dataset for Blink features - the
usage
table is generated from a summary of thefeatures
table
The features
scheduled query has been failing with this error:
Resources exceeded during query execution: UDF out of memory.
The UDF mentioned in the error is a new function to help parse and map feature names, types, and IDs. I think it’s failing because the query is processing all tables in the pages
dataset redundantly each month and the total size is now exceeding 6 TB.
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (5 by maintainers)
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Reopening this as doesn’t look to be solved as didn’t get picked up for July or August.
Updated to include the latest data
I tweaked the scheduled query timings to avoid race conditions, but ideally we generate this stuff at the end of the monthly crawl pipeline rather than asynchronously using scheduled queries. I’ll close this out and make a new bug for that.