Using BQ command line change configuration configuration.load.quote - google-bigquery

Question

I want to know how using BQ command line tool I can change configuration of a BigQuery API job. E.g., I want to change configuration.load.quote property from command line tool. Is there is any way. I need this to load a table with field double quote(") inside.

Answer 1

You cannot modify a job once it is created, but I guess what you want is set the quote property when creating the job.
In most cases, bq help <command> will get you what you need. Here's the output of bq help load. As you can see, you just have to specify --quote="'" after the command but before the arguments.
$ bq help load
Python script for interacting with BigQuery.
USAGE: bq.py [--global_flags] <command> [--command_flags] [args]
load Perform a load operation of source into destination_table.
Usage:
load <destination_table> <source> [<schema>]
The <destination_table> is the fully-qualified table name of table to
create, or append to if the table already exists.
The <source> argument can be a path to a single local file, or a
comma-separated list of URIs.
The <schema> argument should be either the name of a JSON file or a
text schema. This schema should be omitted if the table already has
one.
In the case that the schema is provided in text form, it should be a
comma-separated list of entries of the form name[:type], where type
will default to string if not specified.
In the case that <schema> is a filename, it should contain a single
array object, each entry of which should be an object with properties
'name', 'type', and (optionally) 'mode'. See the online documentation
for more detail:
https://developers.google.com/bigquery/preparing-data-for-bigquery
Note: the case of a single-entry schema with no type specified is
ambiguous; one can use name:string to force interpretation as a
text schema.
Examples:
bq load ds.new_tbl ./info.csv ./info_schema.json
bq load ds.new_tbl gs://mybucket/info.csv ./info_schema.json
bq load ds.small gs://mybucket/small.csv name:integer,value:string
bq load ds.small gs://mybucket/small.csv field1,field2,field3
Arguments:
destination_table: Destination table name.
source: Name of local file to import, or a comma-separated list of
URI paths to data to import.
schema: Either a text schema or JSON file, as above.
Flags for load:
/home/David/google-cloud-sdk/platform/bq/bq.py:
--[no]allow_jagged_rows: Whether to allow missing trailing optional columns in
CSV import data.
--[no]allow_quoted_newlines: Whether to allow quoted newlines in CSV import
data.
-E,--encoding: <UTF-8|ISO-8859-1>: The character encoding used by the input
file. Options include:
ISO-8859-1 (also known as Latin-1)
UTF-8
-F,--field_delimiter: The character that indicates the boundary between
columns in the input file. "\t" and "tab" are accepted names for tab.
--[no]ignore_unknown_values: Whether to allow and ignore extra, unrecognized
values in CSV or JSON import data.
--max_bad_records: Maximum number of bad records allowed before the entire job
fails.
(default: '0')
(an integer)
--quote: Quote character to use to enclose records. Default is ". To indicate
no quote character at all, use an empty string.
--[no]replace: If true erase existing contents before loading new data.
(default: 'false')
--schema: Either a filename or a comma-separated list of fields in the form
name[:type].
--skip_leading_rows: The number of rows at the beginning of the source file to
skip.
(an integer)
--source_format: <CSV|NEWLINE_DELIMITED_JSON|DATASTORE_BACKUP>: Format of
source data. Options include:
CSV
NEWLINE_DELIMITED_JSON
DATASTORE_BACKUP
gflags:
--flagfile: Insert flag definitions from the given file into the command line.
(default: '')
--undefok: comma-separated list of flag names that it is okay to specify on
the command line even if the program does not define a flag with that name.
IMPORTANT: flags in this list that have arguments MUST use the --flag=value
format.
(default: '')