When trying to load data into a big query table, I get an error telling me a row is larger than the maximum allowed size. I could not find this limitation anywhere in the documentation. What is the limit? And is there a workaround?
The file is compressed json and is 360M.
2018 update: 100 MB maximum row size. https://cloud.google.com/bigquery/quotas
The maximum row size is 64k. See: https://developers.google.com/bigquery/docs/import#import
The limitation for json will likely increase soon.
2013 update: The maximum row size is 1MB, and 20MB for JSON.
See: https://developers.google.com/bigquery/preparing-data-for-bigquery#dataformats
2017 update: 10MB for CSV & JSON. https://cloud.google.com/bigquery/quotas#import
Except 1MB if streaming, https://cloud.google.com/bigquery/quotas#streaminginserts
Related
In my spark job, I'm reading a huge table (parquet) with more than 30 columns. To limit the size of data read I specify schema with one column only (I need only this one). Unfortunately, when reading the info in spark UI I get the information that the size of files read equals 1123.8 GiB but filesystem read data size total equals 417.0 GiB. I was expecting that if I take one from 30 columns the filesystem read data size total will be around 1/30 of the initial size, not almost half.
Could you explain to me why is that happening?
To BigQuery experts,
I am working on the process which requires us to represent customers shopping history in way where we concatenate all last 12 months of transactions in a single column for Solr faceting using prefixes.
while trying to load this data in BIG Query, we are getting below row limit exceed error. Is there any way to get around this? the actual tuple size is around 64 mb where as the avro limit is 16mb.
[ ~]$ bq load --source_format=AVRO --allow_quoted_newlines --max_bad_records=10 "syw-dw-prod":"MAP_ETL_STG.mde_golden_tbl" "gs://data/final/tbl1/tbl/part-m-00005.avro"
Waiting on bqjob_r7e84784c187b9a6f_0000015ee7349c47_1 ... (5s) Current status: DONE
BigQuery error in load operation: Error processing job 'syw-dw-prod:bqjob_r7e84784c187b9a6f_0000015ee7349c47_1': Avro parsing error in position 893786302. Size of data
block 27406834 is larger than the maximum allowed value 16777216.
Update: This is no longer true, the limit has been lifted.
BigQuery's limit on loaded Avro file's block size is 16MB (https://cloud.google.com/bigquery/quotas#import). Unless each row is actually greater than 16MB, you should be able to split up the rows into more blocks to stay within the 16MB block limit. Using a compression codec may reduce the block size.
I'm getting an error "Row larger than the maximum allowed size" although the row size (JSON) is 9750629 bytes (less than 10MB).
Documentation states that the limit is 20MB for JSON.
Erroneous job is job_3QR3cLzoTDX5m_2T8OgdVHdvlBs
I checked with the engineering team, and the actual limit is 2MB. Thanks for reporting this - the documentation has been updated accordingly.
I'm still interested in having the actual limit being 20MB. Any additional information will help me make a better case. Thanks!
I am trying to import some json.gz data into BigQuery.
I have 20 datasets (one per year).
The import processes chokes on 5 of them with the "Row larger than the maximum allowed size" error message.
What does that mean?
Is there a way to expand the size?
Is there a way to have the importer ignore the error?
regards,
Arnaud
The maximum size of a row is 20 MB. If you set the maxBadRecords value in the load configuration, it will allow that many failed records in the load job.
Is there a limit to the amount of data that can be put in a single row in BigQuery? Is there a limit on the size of a single column entry (cell)? (in bytes)
Is there a limitation when importing from Cloud Storage?
The largest size of a single row allowed is 1MB for CSV and 2 MB for JSON. There are no limits on field sizes, but obviously they must be under the row size as well.
These limits are described here.