I tried to load the data from cloud and it failed 3 times.
Job ID: job_2ed0ded6ce1d4837873e0ab498b0bc1b
Start Time: 9:10pm, 1 Aug 2012
End Time: 10:55pm, 1 Aug 2012
Destination Table: 567402616005:company.ox_data_summary_ad_hourly
Source URI: gs://daily_log/ox_data_summary_ad_hourly.txt.gz
Delimiter:
Max Bad Records: 30000
Job ID: job_47447ab60d2a40f588c89dfe638aa438
Line:176073205 / Field:1, Bad character (ASCII 0) encountered. Rest of file not processed.
Too many errors encountered. Limit is: 0.
Should I try again? or is there any issue with the source file?
This is a known bug dealing with gzipped files. The only workaround currently is just to use an uncompressed file.
There are changes coming soon that should make it easier to handle large, uncompressed files (imports will be faster, and file size limits will increase).
Related
I am unable to load 500mb csv file from google cloud storage to big query but i got this error
Errors:
Too many errors encountered. (error code: invalid)
Job ID xxxx-xxxx-xxxx:bquijob_59e9ec3a_155fe16096e
Start Time Jul 18, 2016, 6:28:27 PM
End Time Jul 18, 2016, 6:28:28 PM
Destination Table xxxx-xxxx-xxxx:DEV.VIS24_2014_TO_2017
Write Preference Write if empty
Source Format CSV
Delimiter ,
Skip Leading Rows 1
Source URI gs://xxxx-xxxx-xxxx-dev/VIS24 2014 to 2017.csv.gz
I have gzipped 500mb csv file to csv.gz to upload to GCS.Please help me to solve this issue
The internal details for your job show that there was an error reading the row #1 of your CSV file. You'll need to investigate further, but it could be that you have a header row that doesn't conform to the schema of the rest of the file, so we're trying to parse a string in the header as an integer or boolean or something like that. You can set the skipLeadingRows property to skip such a row.
Other than that, I'd check that the first row of your data matches the schema you're attempting to import with.
Also, the error message you received is unfortunately very unhelpful, so I've filed a bug internally to make the error you received in this case more helpful.
I'm running regular uploading job to upload csv into BigQuery. The job runs every hour. According to recent fail log, it says:
Error: [REASON] invalid [MESSAGE] Invalid argument: service.geotab.com [LOCATION] File: 0 / Offset:268436098 / Line:218637 / Field:2
Error: [REASON] invalid [MESSAGE] Too many errors encountered. Limit is: 0. [LOCATION]
I went to line 218638 (the original csv has a headline, so I assume 218638 should be the actual failed line, let me know if I'm wrong) but it seems all right. I checked according table in BigQuery, it has that line too, which means I actually successfully uploaded this line before.
Then why does it causes failure recently?
project id: red-road-574
Job ID: Job_Upload-7EDCB180-2A2E-492B-9143-BEFFB36E5BB5
This indicates that there was a problem with the data in your file, where it didn't match the schema.
The error message says it occurred at File: 0 / Offset:268436098 / Line:218637 / Field:2. This means the first file (it looks like you just had one), and then the chunk of the file starting at 268436098 bytes from the beginning of the file, then the 218637th line from that file offset.
The reason for the offset portion is that bigquery processes large files in parallel in multiple workers. Each file worker starts at an offset from the beginning of the file. The offset that we include is the offset that the worker started from.
From the rest of the error message, it looks like the string service.geotab.com showed up in the second field, but the second field was a number, and service.geotab.com isn't a valid number. Perhaps there was a stray newline?
You can see what the lines looked like around the error by doing:
cat <yourfile> | tail -c +268436098 | tail -n +218636 | head -3
This will print out three lines... the one before the error (since I used -n +218636 instead of +218637), the one that had the error, and the next line as well.
Note that if this is just one line in the file that has a problem, you may be able to work around the issue by specifying maxBadRecords.
I ran into an error when importing gzipped tab delimited files into bigquery
The output I got was:
root#a20c6fbdf9b5:/opt/batch/jobs# bq show -j bqjob_r5720e2f2267a5a5b_0000014d09571f27_1
Job infra-bedrock-861:bqjob_r5720e2f2267a5a5b_0000014d09571f27_1
Job Type State Start Time Duration Bytes Processed
---------- --------- ----------------- ---------- -----------------
load FAILURE 30 Apr 08:00:44 0:02:05
Errors encountered during job execution. Bad character (ASCII 0) encountered: field starts with: <H:|\ufc0f\ufffd(>
Failure details:
- File: 1 / Line:1 / Field:1: Bad character (ASCII 0) encountered:
field starts with: <\ufff>
- File: 1 / Line:3 / Field:1: Bad character (ASCII 0) encountered:
field starts with: <\u0475\ufffd=\ufffd\ufffd\u03d6>
- File: 1 / Line:4 / Field:1: Bad character (ASCII 0) encountered:
field starts with: <-\ufffd\ufffdY\u049a\ufffd>
- File: 1 / Line:6 / Field:1: Bad character (ASCII 0) encountered:
field starts with: <\u018e\ufffd\ufffd\ufffd\ufffd>
I tried manually downloading the files, unzipping and then uploading the files again. The uncompressed files could be imported into bigquery without any problems.
This looks like a bug in bigquery with zip files
Inspecting the job configuration, you include a non-gzip file as the first uri, ending in .../20150426/_SUCCESS. BigQuery uses the first file to determine whether compression is enabled.
Assuming this file is empty, you can remove it from your load requests to fix this. If there is data in this file, attach a ".gz" suffix or re-order this file so it is not first in the uri list.
When I try to load multiple files from cloud storage larger jobs almost always fail. When I try to load an individual file that works, but loading batches is really much more convenient.
Snippet:
Recent Jobs
Load 11:24am
gs://albertbigquery.appspot.com/uep/201409/01/wpc_5012_20140901_0002.log.gz toalbertbigquery:uep.201409
Load 11:23am
gs://albertbigquery.appspot.com/uep/201409/01/wpc_5012_20140901_0001.log.gz toalbertbigquery:uep.201409
Load 11:22am
gs://albertbigquery.appspot.com/uep/201409/01/* toalbertbigquery:uep.201409
Errors:
File: 40 / Line:1 / Field:1, Bad character (ASCII 0) encountered: field starts with: <�>
File: 40 / Line:2 / Field:1, Bad character (ASCII 0) encountered: field starts with: <5C���>}�>
File: 40 / Line:3 / Field:1, Bad character (ASCII 0) encountered: field starts with: <����W�o�>
File: 40 / Line:4, Too few columns: expected 7 column(s) but got 2 column(s). For additional help:
File: 40 / Line:5, Too few columns: expected 7 column(s) but got 1 column(s). For additional help:
File: 40 / Line:6, Too few columns: expected 7 column(s) but got 1 column(s). For additional help:
File: 40 / Line:7, Too few columns: expected 7 column(s) but got 1 column(s). For additional help:
File: 40 / Line:8 / Field:1, Bad character (ASCII 0) encountered: field starts with: <��hy�>
The worst with this problem is that I don't know which file is "File: 40" the order seems random, otherwise I could remove that file and load the data, or try to find the error in the file.
I also strongly doubt that there even is an actual file error, for example in the above case when I removed all files but _0001 and _0002 (that worked fine to load as single files) I still get this output:
Recent Jobs
Load 11:44am
gs://albertbigquery.appspot.com/uep/201409/01/* toalbertbigquery:uep.201409
Errors:
File: 1 / Line:1 / Field:1, Bad character (ASCII 0) encountered: field starts with: <�>
File: 1 / Line:2 / Field:3, Bad character (ASCII 0) encountered: field starts with:
File: 1 / Line:3, Too few columns: expected 7 column(s) but got 1 column(s). For additional help:
File: 1 / Line:4 / Field:3, Bad character (ASCII 0) encountered: field starts with:
Sometimes though the files load just fine, otherwise I'd expect that multiple file loading was all wrecked.
Info:
Average file size is around 20MB, usually a directory is 70 files somewhere between 1 and 2 GB.
It looks like you're hitting a BigQuery bug.
When BigQuery gets a load job request with a wildcard pattern (i.e. gs://foo/bar*) we first expand the pattern to the list of files. Then we read the first one to determine the compression type.
One oddity with GCS is that there isn't a real concept of a directory. That is gs://foo/bar/baz.csv is really bucket: 'foo', object: 'bar/baz.csv'. It looks like you have empty files as placeholders for your directories (as in gs://albertbigquery.appspot.com/uep/201409/01/).
This empty file doesn't play nicely with the bigquery probe-for-compression type, since when we expand the file pattern, the directory dummy file is the first thing that gets returned. We then open the dummy file, and it doesn't appear to be a gzip file, so we assume the compression type of the entire load is uncompressed.
We've filed a bug and have a fix under testing. Hopefully the fix will be out next week. In the mean time, your options are to either expand the pattern yourself, to use a longer pattern that won't match the directory (as in gs://albertbigquery.appspot.com/uep/201409/01/wpc*), or to delete the dummy directory file.
The status is shown as success but the file is not actually transferred to big-query.
# bq show -j abc
Job Type State Start Time Duration Bytes Processed
---------- --------- ----------------- ---------- -----------------
load SUCCESS 05 Jul 15:32:45 0:26:24
From web interface, I can see the actual error.
Line:9732968, Too few columns: expected 27 column(s) but got 9 column(s)
Line:10893908 / Field:1, Bad character (ASCII 0) encountered. Rest of file not processed.
1) How do I know which bad character needs to be removed?
2) Why does "success" shown as job status?
Update:
Job ID: summary_2012_07_09_to_2012_07_10a2
The error that I got at command prompt:
BigQuery error in load operation: Backend Error
A lot of lines were not processed at all. The details from web interface:
Line:9857286 / Field:1, Bad character (ASCII 0) encountered: field starts with: <15>
Line:9857287 / Field:1, Bad character (ASCII 0) encountered. Rest of file not processed.
All the lines where successfully processed in the second attempt:
job_id: summary_2012_07_09_to_2012_07_10a3
Update 2:
Line:174952407 / Field:1, Bad character (ASCII 0) encountered. Rest of file not processed.
Job ID: job_19890847cbc3410495c3cecaf79b31fb
Sorry for the slow response, the holiday weekend meant most of the bigquery team was not answering support questions. The 'bad character' looks like it may be a known bug with some gzipped files where we improperly detect an ascii 0 value at the end of the file.
If the job is actually failing but reporting success, that sounds like a problem but we'll need the job id of the failing job in order to be able to debug. Also if you can reproduce it that would be helpful since we may not have the logs around for the original job anymore.