This Circus Train plugin enables the conversion of BigQuery tables to Hive.
You can obtain Circus Train BigQuery from Maven Central:
In order to be used by Circus Train the above circus-train-bigquery jar file must be added to Circus Train's classpath. It is highly recommended that the version of this library and the version of Circus Train are identical. The recommended way to make this extension available on the classpath is to store it in a standard location
and then add this to the CIRCUS_TRAIN_CLASSPATH environment variable (e.g. via a startup script):
export CIRCUS_TRAIN_CLASSPATH=$CIRCUS_TRAIN_CLASSPATH:/opt/circus-train-big-query/lib/*
Another option is to place the jar file in the Circus Train lib folder which will then automatically load it but risks interfering with any Circus Train jobs that do not require the extension's functionality.
- Add the following to the Circus Train YAML configuration in order to load the BigQuery extension via Circus Train's extension loading mechanism:
extension-packages: com.hotels.bdp.circustrain.bigquery
- Configure Circus Train as you would for a copy job from Google Cloud Configuration
- Provide the Google Cloud project ID that your BigQuery instance resides in as your
source-cataloghive-metastore-urisparameter using the formathive-metastore-uris: bigquery://<project-id> - To enable copying to Google Storage provide a path to your Google Credentials in the configuration under the gcp-security parameter.
- Provide your BigQuery dataset as
source-tabledatabase-nameand your BigQuery table name assource-tabletable-name
Circus Train BigQuery allows you to add partitions for one column to your Hive destination table upon replication from BigQuery to Hive. The partition must be a field present on your source BigQuery table. The user can configure the partition field by setting the table-replications[n].copier-option : circus-train-bigquery-partition-by property on a specific table replication within the Circus Train configuration file. The destination data will be repartitioned on the specified field.
If your destination data is partitioned you can also specify a partition filter using the table-replications[n].copier-option : circus-train-bigquery-partition-filter property. The partition filter is a BigQuery SQL query which will be used to filter the data being replicated - i.e. so one doesn't have to replicate the entire table on each run. You can think of the partition filter being executed as select * from bq_db.table where ${filter-condition}, with the ${filter-condition} being substituted by your partition filter. Only the rows returned by this query will be replicated. See partition filters in the main Circus Train documentation for more information.
extension-packages: com.hotels.bdp.circustrain.bigquery
source-catalog:
name: my-google-source-catalog
hive-metastore-uris: bigquery://my-gcp-project-id
replica-catalog:
name: my-replica-catalog
hive-metastore-uris: thrift://internal-shared-hive-metastore-elb-123456789.us-west-2.elb.foobaz.com:9083
gcp-security:
credential-provider: /home/hadoop/.gcp/my-gcp-project-01c26fd71db7.json
table-replications:
- source-table:
database-name: mysourcedb
table-name: google_ads_data
replica-table:
database-name: myreplicadb
table-name: bigquery_google_ads_data
table-location: s3://mybucket/foo/baz/
extension-packages: com.hotels.bdp.circustrain.bigquery
source-catalog:
... see above ...
table-replications:
-
source-table:
database-name: bdp
table-name: bigquery_source
replica-table:
database-name: bdp
table-name: hive_replica
table-location: s3://bucket/foo/bar/
copier-options:
circustrain-bigquery-partition-by: date
extension-packages: com.hotels.bdp.circustrain.bigquery
source-catalog:
... see above ...
table-replications:
-
source-table:
database-name: bdp
table-name: bigquery_source
replica-table:
database-name: bdp
table-name: hive_replica
table-location: s3://bucket/foo/bar/
copier-options:
circustrain-bigquery-partition-by: date
circustrain-bigquery-partition-filter: date BETWEEN TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL -150 DAY) AND CURRENT_TIMESTAMP()
The BigQuery plugin works by extracting the BigQuery table data into Google Storage using Google APIs, and then using Circus Train listeners to convert the BigQuery metadata into a Hive table object. The data is then replicated from source to replica using the metadata from this mocked Hive table.
If you would like to ask any questions about or discuss Circus Train BigQuery please join the main Circus Train mailing list at
https://groups.google.com/forum/#!forum/circus-train-user
The Circus Train BigQuery logo is licensed under the Creative Commons Attribution-Share Alike 4.0 International license. It includes an adaption of the Google BigQuery logo that is similarly licensed under the CC BY-SA 4.0 International license. The Circus Train logo uses the Ewert font by Johan Kallas under the SIL Open Font License (OFL).
This project is available under the Apache 2.0 License.
Copyright 2018-2020 Expedia, Inc.
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