A BigQuery table has schema which can be viewed in the web UI, updated, or used to load data with the bq
tool as a JSON file. However, I can't find a way to dump this schema from an existing table to a JSON file (preferably from the command-line). Is that possible?

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8 Answers
a way to dump schema from an existing table to a JSON file (preferably from the command-line). Is that possible?
try below
bq show bigquery-public-data:samples.wikipedia
You can use –format flag to prettify output
--format: none|json|prettyjson|csv|sparse|pretty:
Format for command output. Options include:
none: ...
pretty: formatted table output
sparse: simpler table output
prettyjson: easy-to-read JSON format
json: maximally compact JSON
csv: csv format with header
The first three are intended to be human-readable, and the latter three are for passing to another program. If no format is selected, one will be chosen based on the command run.
Realized I provided partial answer :o)
Below does what PO wanted
bq show --format=prettyjson bigquery-public-data:samples.wikipedia | jq '.schema.fields'

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Thank you. I kept looking for other keywords like "export" and "dump", as well as the word "schema", and none of the docs for "show" had that. – Daniel Waechter Apr 03 '17 at 22:29
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1i would recommend to explore bq command directly in Google Cloud SDK Shell. Just start with bq --help and ... :o) – Mikhail Berlyant Apr 03 '17 at 22:30
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6For posterity, this command does what I wanted: `bq show --format=prettyjson bigquery-public-data:samples.wikipedia | jq '.schema.fields'` – Daniel Waechter Apr 04 '17 at 16:13
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is there any way forward the output into a text file? my schema definitions are to large for the terminal – flowoo Jul 12 '17 at 09:39
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3just add "> yourfile.json" at the end without quotation marks – fpopic Dec 19 '17 at 15:43
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Here is a link to download jq, if its not already on your system: https://stedolan.github.io/jq/download/ – Jas Apr 24 '18 at 22:09
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1With windows I found that the quotation mark `"` is needed instead of apostrophe `'`, so as follows: `bq show --format=prettyjson bigquery-public-data:samples.wikipedia | jq ".schema.fields" ` – philshem Sep 09 '19 at 09:04
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why I am getting this error when using --format as csv or pretty "parse error: Invalid numeric literal at line 1, column 5" – vikrant rana Dec 18 '20 at 18:02
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@vikrantrana The `jq` command parses json. If you want another format, you have to omit that part. – Rémi Svahn Mar 03 '21 at 12:44
You can add the flag --schema
[1] in order to avoid table data information.
bq show --schema --format=prettyjson [PROJECT_ID]:[DATASET].[TABLE] > [SCHEMA_FILE]
bq show --schema --format=prettyjson myprojectid:mydataset.mytable > /tmp/myschema.json
[1] https://cloud.google.com/bigquery/docs/managing-table-schemas

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3Excellent! It looks like that was added a few months after I asked this question, in Cloud SDK version 165. Much better than relying on `jq`. – Daniel Waechter Jun 22 '18 at 18:18
- select table on the bq UI.
- select columns you would want to export schema for.
- use the copy menu to copy schema as JSON.

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Answer update
Since October 2020,
you can also run a SQL query on INFORMATION_SCHEMA.COLUMNS
which is kind of an introspective functionality.
SELECT *
FROM <YOUR_DATASET>.INFORMATION_SCHEMA.COLUMNS
and nest the data using an aggregation function such as
SELECT table_name, ARRAY_AGG(STRUCT(column_name, data_type)) as columns
FROM <YOUR_DATASET>.INFORMATION_SCHEMA.COLUMNS
GROUP BY table_name
The are also interesting metadata in INFORMATION_SCHEMA.VIEWS
if you also need the source code from your views.
Then hit save results / JSON from the BigQuery interface, or wrap it into the bq query
command line in your case.
Source: BigQuery release notes

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This was perfect - would just add SELECT ddl column specifically, and a WHERE clause with the desired table_name – MandisaW Apr 04 '22 at 20:06
You can use REST API call to get BigQuery table schema as JSON. Documentation link: https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/get
curl 'https://bigquery.googleapis.com/bigquery/v2/projects/project-name/datasets/dataset-name/tables/table-name' \
--header 'Authorization: Bearer [YOUR_ACCESS_TOKEN]' \
--header 'Accept: application/json' \
--compressed

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Thank you for this - I was looking for the API version. Is there a way to do this without an HTTP call? Is a function like this just what all more 'native' looking functions of the API look like under the hood? (I mean that normal functions are not HTTP calls). I just don't want it to be slow and "calls" seems slow. – makmak Aug 22 '20 at 17:15
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When I usually load data etc I don't need to think of Authentication for instance. @Soumendra Mishra – makmak Aug 22 '20 at 18:27
As of 15th May 2022, this worked:
- In google cloud, Go to cloud shell
- Select the project from drop down (left) of cloud shell
- Use below command bq show --schema --format=prettyjson .

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The following bash script & sql always helped me solve the problem to extract all tables schema to JSON file from a dataset:
#!/bin/bash
#gen-default-schema.sh
input=$1
source_type=$2
result=tables_${source_type}.result
bq query --format=csv --use_legacy_sql=false --flagfile=$input | awk '{if(NR>1)print}' > $result
while IFS= read -r line
do
tbl_name=`echo "$line" | awk -F. '{print $NF}'`
schema_file=`echo "$tbl_name" | cut -d'_' -f2-`.schema
echo $schema_file
bq show --schema --format=prettyjson $line > ./temp/${source_type}/${schema_file}
echo "done"
done < "$result"
Input file example.sql
($1)
SELECT
table_catalog || ":" || table_schema || "." || table_name
FROM (
SELECT
table_catalog,
table_schema,
table_name
FROM
`project-id`.<dataset_id>.INFORMATION_SCHEMA.TABLES
ORDER BY
table_name ASC )
To run:
$bash gen-default-schema.sh example.sql example
This will place all the JSON schema under ./temp
folder

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IF you want to do this from google cloud-console
then a short SQL
query can achieve this.
It'll give you all the info from schema and you can change the STRUCT( ... )
with https://cloud.google.com/bigquery/docs/information-schema-column-field-paths#schema as you wish.
Alternatively use INFORMATION_SCHEMA.<something>
with other views to get different meta info to JSON.
As @Michel Hua said in their answer, select Query results -> JSON
in bigquery to get JSON after running the SQL query
SELECT table_name, ARRAY_AGG(STRUCT(column_name, data_type, description)) as columns
FROM `your-project-id`.your_dataset.INFORMATION_SCHEMA.COLUMN_FIELD_PATHS
WHERE table_name = 'your_table_name'
GROUP BY table_name

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