Export from S3 to BigQuery
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery S3 plugin allows you to sync data from S3 to any destination, including BigQuery. It takes only minutes to get started.
S3
This plugin is in preview.
The CloudQuery S3 source plugin reads parquet files and loads them into any supported CloudQuery destination (e.g. PostgreSQL, BigQuery, Snowflake, and more)
cloudquery
v1.1.7
Source
BigQuery
The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudqueryStep 2. Log in to CloudQuery CLI
Logging in is required to use premium plugins and premium tables in open-core plugins.
cloudquery loginStep 3. Configure S3 source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
name: s3
path: cloudquery/s3
registry: cloudquery
version: "v1.1.7"
tables: ["*"]
destinations: ["bigquery"]
spec:
# TODO: Update it with the actual spec
bucket: "<BUCKET_NAME>"
region: "<REGION>"
# path_prefix: "" # optional. Only sync files with this prefix
# concurrency: 50 # optional. Number of files to sync in parallel. Default: 50Step 4. Configure BigQuery destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: bigquery
path: cloudquery/bigquery
registry: cloudquery
version: "v3.5.4"
write_mode: "append"
spec:
project_id: ${PROJECT_ID}
dataset_id: ${DATASET_ID}
# Optional parameters
# dataset_location: ""
# time_partitioning: none # options: "none", "hour", "day"
# service_account_key_json: ""
# endpoint: ""
# batch_size: 10000
# batch_size_bytes: 5242880 # 5 MiB
# batch_timeout: 10sStep 5. Run Sync
cloudquery sync s3.yml bigquery.yml