Google Big Query Error: CSV table encountered too many errors, giving up. Row: 1 errors: 1

Question

I am trying to run a query on a 12 GB csv file loaded in Google big query, I cant run any query on the dataset. I am not sure if the dataset is loaded correctly. It shows a

Answer 1

I was also getting the same error with no clue of the actual problem.

<https://www.googleapis.com/bigquery/v2/projects/****/jobs/job_******?location=******> <{
reason: invalid message: Error while reading data, error message: JSON table encountered too many errors, giving up. Rows: 115;
errors: 1. Please look into the errors[] collection for more details.  }

Tried bq --format=prettyjson show -j => This also didn't gave any more clue.

I was trying to transfer data from a Database to Big Query using SAP BODS as the ETL Tool. To find the root cause I had to modify the ETL to transfer column by column i.e. I first transferred one column, then added 2nd, and so on. The transfer was successful for initial string columns. But when a FLOAT column came, the transfer gave the same error.

When checking the data I found values as .0345 in the decimal column in database. For values less than 1, 0 was removed before decimal which was causing error during transfer to Big Query.

To rectify, I had to apply to_decimal conversion of BODS.

to_decimal(column_name, '.', ',', 4) 

"," is the thousand separator

"." is the decimal separator

4 specifies the nos allowed after decimal

Note: : I was also transferring records to Google Cloud Storage simultaneously and it was getting successful before conversion also. Also, when I manually used Cloud Storage file to populate the same BigQuery table, it was also working fine.

Answer 2

Check your schema - it's possible that you forgot to include the schema for one of the columns - that's what happened to me!