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.
Related
My question is how much data are we allowed to process on bigquery. I am using stackoverflow's kaggle dataset to analyze the data, and the text I am analyzing is around 27gb. I just want to get the average length per entry, so I do
query_length_text = """
SELECT
AVG(CHAR_LENGTH(title)) AS avg_title_length,
AVG(CHAR_LENGTH(body)) AS avg_body_length
FROM
`bigquery-public-data.stackoverflow.stackoverflow_posts`
"""
however this says:
Query cancelled; estimated size of 26.847077486105263 exceeds limit of 1 GB
I am only returning one float, so i know that isn't the problem. Is the 1gb on the processing too? How do I process it in batches, so I do 1gb at a time?
So Kaggle by default sets a 1GB limit on requests (to prevent your monthly quota of 5TB to run out). This is what causes this to happen. To prevent this, you can override it by using the max_gb_scanned parameter like this:
df = bq_assistant.query_to_pandas_safe(QUERY, max_gb_scanned = N)
where N is the amount of data processed by your query, or any number higher than it.
I was wondering if CLoudWatchLogs has a limit on the length of 1 line of logging. I checked the CloudWatchLogs Limit documentation page, but they do not specify anything regarding line length limit.
They do mention the Event size limit (256 KB) , which is the maximum size of 1 event, but that does not tell me anything about the length of the line. A log event can contain more information than only the #message field.
Looking into this a bit (since I was curious about the same thing). The boto3 python client documentation refers to log lines as events. The event consists of the timestamp and the message. Within various AWS tools, the message can be broken into various fields, but I believe the timestamp and message are the only actual fields in the log event.
So this would suggest that about 256K is the maximum size for each line (minus the size of the timestamp and probably some overhead as well).
This is not to say that the AWS web console will handle lines that long well though.
The maximum event size is ~256kB, events longer than that will fail (they are not truncated). This size includes 26 bytes of metadata (10 bytes of timestamp and 16 of field names).
This can be verified with this boto3 script.
I tried to console.log a big file( around 800 KB), in cloudwatch I can see 4 console.log message first 3 with around 250 KB size, and rest in the last.
So from my experience line numbers do not matter only the total size of each event matters.
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!
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