I am new in bigquery, Here I am trying to load the Data in GCP BigQuery table which I have created manually, I have one bash file which contains bq load command -
bq load --source_format=CSV --field_delimiter=$(printf '\u0001') dataset_name.table_name gs://bucket-name/sample_file.csv
My CSV file contains multiple ROWS with 16 column - sample Row is
100563^3b9888^Buckname^https://www.settttt.ff/setlllll/buckkkkk-73d58581.html^Buckcherry^null^null^2019-12-14^23d74444^Reverb^Reading^Pennsylvania^United States^US^40.3356483^-75.9268747
Table schema -

When I am executing bash script file from cloud shell, I am getting following Error -
Waiting on bqjob_r10e3855fc60c6e88_0000016f42380943_1 ... (0s) Current status: DONE
BigQuery error in load operation: Error processing job 'project-name-
staging:bqjob_r10e3855fc60c6e88_0000ug00004521': Error while reading data, error message: CSV
table
encountered too many errors, giving up. Rows: 1; errors: 1. Please look into the errors[] collection
for more details.
Failure details:
- gs://bucket-name/sample_file.csv: Error while
reading data, error message: CSV table references column position
15, but line starting at position:0 contains only 1 columns.
What would be the solution, Thanks in advance
You are trying to insert wrong values to your table per the schema you provided
Based on table schema and your data example I run this command:
./bq load --source_format=CSV --field_delimiter=$(printf '^') mydataset.testLoad /Users/tamirklein/data2.csv
1st error
Failure details: - Error while reading data, error message: Could not parse '39b888' as int for field Field2 (position 1) starting at location 0
At this point, I manually removed the b from 39b888 and now I get this
2nd error
Failure details: - Error while reading data, error message: Could not parse '14/12/2019' as date for field Field8 (position 7) starting at location 0
At this point, I changed 14/12/2019 to 2019-12-14 which is BQ date format and now everything is ok
Upload complete. Waiting on bqjob_r9cb3e4ef5ad596e_0000016f42abd4f6_1 ... (0s) Current status: DONE
You will need to clean your data before upload or use a data sample with more lines with --max_bad_records flag (Some of the lines will be ok and some not based on your data quality)
Note: unfortunately there is no way to control date format during the upload see this answer as a reference
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