BigQuery
Setting up the BigQuery destination connector involves setting up the data loading method (BigQuery Standard method and Google Cloud Storage bucket) and configuring the BigQuery destination connector using the Airbyte UI.
This page guides you through setting up the BigQuery destination connector.
Prerequisites
For Airbyte Open Source users using the Postgres source connector, upgrade your Airbyte platform to version
v0.40.0-alpha
or newer and upgrade your BigQuery connector to version1.1.14
or newerA BigQuery dataset to sync data to.
Note: Queries written in BigQuery can only reference datasets in the same physical location. If you plan on combining the data that Airbyte syncs with data from other datasets in your queries, create the datasets in the same location on Google Cloud. For more information, read Introduction to Datasets
(Required for Airbyte Cloud; Optional for Airbyte Open Source) A Google Cloud Service Account with the
BigQuery User
andBigQuery Data Editor
roles and the Service Account Key in JSON format.
Setup guide
Step 1: Set up a data loading method
Although you can load data using BigQuery's INSERTS
, we highly recommend using a Google Cloud Storage bucket not only for performance and cost but reliability since larger datasets are prone to more failures when using standard inserts.
(Recommended) Using a Google Cloud Storage bucket
To use a Google Cloud Storage bucket:
- Create a Cloud Storage bucket with the Protection Tools set to
none
orObject versioning
. Make sure the bucket does not have a retention policy. - Create an HMAC key and access ID.
- Grant the
Storage Object Admin
role to the Google Cloud Service Account. - Make sure your Cloud Storage bucket is accessible from the machine running Airbyte. The easiest way to verify if Airbyte is able to connect to your bucket is via the check connection tool in the UI.
Your bucket must be encrypted using a Google-managed encryption key (this is the default setting when creating a new bucket). We currently do not support buckets using customer-managed encryption keys (CMEK). You can view this setting under the "Configuration" tab of your GCS bucket, in the Encryption type
row.
Using INSERT
You can use BigQuery's INSERT
statement to upload data directly from your source to BigQuery. While this is faster to set up initially, we strongly recommend not using this option for anything other than a quick demo. Due to the Google BigQuery SDK client limitations, using INSERT
is 10x slower than using a Google Cloud Storage bucket, and you may see some failures for big datasets and slow sources (For example, if reading from a source takes more than 10-12 hours). For more details, refer to https://github.com/airbytehq/airbyte/issues/3549
Step 2: Set up the BigQuery connector
Log into your Airbyte Cloud or Airbyte Open Source account.
Click Destinations and then click + New destination.
On the Set up the destination page, select BigQuery from the Destination type dropdown.
Enter the name for the BigQuery connector.
For Project ID, enter your Google Cloud project ID.
For Dataset Location, select the location of your BigQuery dataset.
dangerYou cannot change the location later.
For Default Dataset ID, enter the BigQuery Dataset ID.
For Loading Method, select Standard Inserts or GCS Staging.
tipWe recommend using the GCS Staging option.
For Service Account Key JSON (Required for cloud, optional for open-source), enter the Google Cloud Service Account Key in JSON format.
For Transformation Query Run Type (Optional), select interactive to have BigQuery run interactive query jobs or batch to have BigQuery run batch queries.
noteInteractive queries are executed as soon as possible and count towards daily concurrent quotas and limits, while batch queries are executed as soon as idle resources are available in the BigQuery shared resource pool. If BigQuery hasn't started the query within 24 hours, BigQuery changes the job priority to interactive. Batch queries don't count towards your concurrent rate limit, making it easier to start many queries at once.
For Google BigQuery Client Chunk Size (Optional), use the default value of 15 MiB. Later, if you see networking or memory management problems with the sync (specifically on the destination), try decreasing the chunk size. In that case, the sync will be slower but more likely to succeed.
Supported sync modes
The BigQuery destination connector supports the following sync modes:
- Full Refresh Sync
- Incremental - Append Sync
- Incremental - Append + Deduped
Output schema
Airbyte outputs each stream into its own raw table in airbyte_internal
dataset by default (can be overriden by user) and a final table with Typed columns. Contents in raw table are NOT deduplicated.
Raw Table schema
Airbyte field | Description | Column type |
---|---|---|
_airbyte_raw_id | A UUID assigned to each processed event | STRING |
_airbyte_extracted_at | A timestamp for when the event was pulled from the data source | TIMESTAMP |
_airbyte_loaded_at | Timestamp to indicate when the record was loaded into Typed tables | TIMESTAMP |
_airbyte_data | A JSON blob with the event data. | STRING |
Note: Although the contents of the _airbyte_data
are fairly stable, schema of the raw table could be subject to change in future versions.
Final Table schema
airbyte_raw_id
: A UUID assigned by Airbyte to each event that is processed. The column type in BigQuery isString
.airbyte_extracted_at
: A timestamp representing when the event was pulled from the data source. The column type in BigQuery isTimestamp
._airbyte_meta
: A JSON blob representing typing errors. You can query these results to audit misformatted or unexpected data. The column type in BigQuery isJSON
. ... and a column of the proper data type for each of the top-level properties from your source's schema. Arrays and Objects will remain as JSON columns in BigQuery. Learn more about Typing and Deduping here
The output tables in BigQuery are partitioned by the Time-unit column airbyte_extracted_at
at a daily granularity and clustered by airbyte_extracted_at
and the table Primary Keys. Partitions boundaries are based on UTC time.
This is useful to limit the number of partitions scanned when querying these partitioned tables, by using a predicate filter (a WHERE
clause). Filters on the partitioning column are used to prune the partitions and reduce the query cost. (The parameter Require partition filter is not enabled by Airbyte, but you may toggle it by updating the produced tables.)
BigQuery Naming Conventions
Follow BigQuery Datasets Naming conventions.
Airbyte converts any invalid characters into _
characters when writing data. However, since datasets that begin with _
are hidden on the BigQuery Explorer panel, Airbyte prepends the namespace with n
for converted namespaces.
Data type map
Airbyte type | BigQuery type |
---|---|
DATE | DATE |
STRING (BASE64) | STRING |
NUMBER | FLOAT |
OBJECT | STRING |
STRING | STRING |
BOOLEAN | BOOLEAN |
INTEGER | INTEGER |
STRING (BIG_NUMBER) | STRING |
STRING (BIG_INTEGER) | STRING |
ARRAY | REPEATED |
STRING (TIMESTAMP_WITH_TIMEZONE) | TIMESTAMP |
STRING (TIMESTAMP_WITHOUT_TIMEZONE) | TIMESTAMP |
Troubleshooting permission issues
The service account does not have the proper permissions.
- Make sure the BigQuery service account has
BigQuery User
andBigQuery Data Editor
roles or equivalent permissions as those two roles. - If the GCS staging mode is selected, ensure the BigQuery service account has the right permissions to the GCS bucket and path or the
Cloud Storage Admin
role, which includes a superset of the required permissions.
The HMAC key is wrong.
- Make sure the HMAC key is created for the BigQuery service account, and the service account has permission to access the GCS bucket and path.
Tutorials
Now that you have set up the BigQuery destination connector, check out the following BigQuery tutorials:
- Export Google Analytics data to BigQuery
- Load data from Facebook Ads to BigQuery
- Replicate Salesforce data to BigQuery
- Partition and cluster BigQuery tables with Airbyte and dbt
Changelog
Version | Date | Pull Request | Subject |
---|---|---|---|
2.3.4 | 2023-10-31 | 32010 | Add additional data centers. |
2.3.3 | 2023-10-30 | 31985 | Delay upgrade deadline to Nov 7 |
2.3.2 | 2023-10-30 | 31960 | Adopt java CDK version 0.2.0. |
2.3.1 | 2023-10-27 | 31529 | Performance enhancement (switch to a merge statement for incremental-dedup syncs) |
2.3.0 | 2023-10-25 | 31686 | Opt out flag for typed and deduped tables |
2.2.0 | 2023-10-25 | #31520 | Stop deduping raw table |
2.1.6 | 2023-10-23 | #31717 | Remove inadvertent Destination v2 check |
2.1.5 | 2023-10-17 | #30069 | Staging destination async |
2.1.4 | 2023-10-17 | #31191 | Improve typing+deduping performance by filtering new raw records on extracted_at |
2.1.3 | 2023-10-10 | #31358 | Stringify array and object types for type:string column in final table |
2.1.2 | 2023-10-10 | #31194 | Deallocate unused per stream buffer memory when empty |
2.1.1 | 2023-10-10 | #31083 | Fix precision of numeric values in async destinations |
2.1.0 | 2023-10-09 | #31149 | No longer fail syncs when PKs are null - try do dedupe anyway |
2.0.26 | 2023-10-09 | #31198 | Clarify configuration groups |
2.0.25 | 2023-10-09 | #31185 | Increase staging file upload timeout to 5 minutes |
2.0.24 | 2023-10-06 | #31139 | Bump CDK version |
2.0.23 | 2023-10-06 | #31129 | Reduce async buffer size |
2.0.22 | 2023-10-04 | #31082 | Revert null PK checks |
2.0.21 | 2023-10-03 | #31028 | Update timeout |
2.0.20 | 2023-09-26 | #30779 | Final table PK columns become non-null and skip check for null PKs in raw records (performance) |
2.0.19 | 2023-09-26 | #30775 | Increase async block size |
2.0.18 | 2023-09-27 | #30739 | Fix column name collision detection |
2.0.17 | 2023-09-26 | #30696 | Attempt unsafe typing operations with an exception clause |
2.0.16 | 2023-09-22 | #30697 | Improve resiliency to unclean exit during schema change |
2.0.15 | 2023-09-21 | #30640 | Handle streams with identical name and namespace |
2.0.14 | 2023-09-20 | #30069 | Staging destination async |
2.0.13 | 2023-09-19 | #30592 | Internal code changes |
2.0.12 | 2023-09-19 | #30319 | Improved testing |
2.0.11 | 2023-09-18 | #30551 | GCS Staging is first loading method option |
2.0.10 | 2023-09-15 | #30491 | Improve error message display |
2.0.9 | 2023-09-14 | #30439 | Fix a transient error |
2.0.8 | 2023-09-12 | #30364 | Add log message |
2.0.7 | 2023-08-29 | #29878 | Internal code changes |
2.0.6 | 2023-09-05 | #29917 | Improve performance by changing metadata error array construction from ARRAY_CONCAT to ARRAY_AGG |
2.0.5 | 2023-08-31 | #30020 | Run typing and deduping tasks in parallel |
2.0.4 | 2023-09-05 | #30117 | Type and Dedupe at sync start and then every 6 hours |
2.0.3 | 2023-09-01 | #30056 | Internal refactor, no behavior change |
2.0.2 | 2023-09-01 | #30120 | Improve performance on very wide streams by skipping SAFE_CAST on strings |
2.0.1 | 2023-08-29 | #29972 | Publish a new version to supersede old v2.0.0 |
2.0.0 | 2023-08-27 | #29783 | Destinations V2 |
1.10.2 | 2023-08-24 | #29805 | Destinations v2: Don't soft reset in migration |
1.10.1 | 2023-08-23 | #29774 | Destinations v2: Don't soft reset overwrite syncs |
1.10.0 | 2023-08-21 | #29636 | Destinations v2: Several Critical Bug Fixes (cursorless dedup, improved floating-point handling, improved special characters handling; improved error handling) |
1.9.1 | 2023-08-21 | #28687 | Under the hood: Add dependency on Java CDK v0.0.1. |
1.9.0 | 2023-08-17 | #29560 | Destinations v2: throw an error on disallowed column name prefixes |
1.8.1 | 2023-08-17 | #29522 | Migration BugFix - ensure raw dataset created |
1.8.0 | 2023-08-17 | #29498 | Fix checkpointing logic in GCS staging mode |
1.7.8 | 2023-08-15 | #29461 | Migration BugFix - ensure migration happens before table creation for GCS staging. |
1.7.7 | 2023-08-11 | #29381 | Destinations v2: Add support for streams with no columns |
1.7.6 | 2023-08-04 | #28894 | Destinations v2: Add v1 -> v2 migration Logic |
1.7.5 | 2023-08-04 | #29106 | Destinations v2: handle unusual CDC deletion edge case |
1.7.4 | 2023-08-04 | #29089 | Destinations v2: improve special character handling in column names |
1.7.3 | 2023-08-03 | #28890 | Internal code updates; improved testing |
1.7.2 | 2023-08-02 | #28976 | Fix composite PK handling in v1 mode |
1.7.1 | 2023-08-02 | #28959 | Destinations v2: Fix CDC syncs in non-dedup mode |
1.7.0 | 2023-08-01 | #28894 | Destinations v2: Open up early access program opt-in |
1.6.0 | 2023-07-26 | #28723 | Destinations v2: Change raw table dataset and naming convention |
1.5.8 | 2023-07-25 | #28721 | Destinations v2: Handle cursor change across syncs |
1.5.7 | 2023-07-24 | #28625 | Destinations v2: Limit Clustering Columns to 4 |
1.5.6 | 2023-07-21 | #28580 | Destinations v2: Create dataset in user-specified location |
1.5.5 | 2023-07-20 | #28490 | Destinations v2: Fix schema change detection in OVERWRITE mode when existing table is empty; other code refactoring |
1.5.4 | 2023-07-17 | #28382 | Destinations v2: Schema Change Detection |
1.5.3 | 2023-07-14 | #28345 | Increment patch to trigger a rebuild |
1.5.2 | 2023-07-05 | #27936 | Internal scaffolding change for future development |
1.5.1 | 2023-06-30 | #27891 | Revert bugged update |
1.5.0 | 2023-06-27 | #27781 | License Update: Elv2 |
1.4.6 | 2023-06-28 | #27268 | Internal scaffolding change for future development |
1.4.5 | 2023-06-21 | #27555 | Reduce image size |
1.4.4 | 2023-05-25 | #26585 | Small tweak in logs for clarity |
1.4.3 | 2023-05-17 | #26213 | Fix bug in parsing file buffer config count |
1.4.2 | 2023-05-10 | #25925 | Testing update. Normalization tests are now done in the destination container. |
1.4.1 | 2023-05-11 | #25993 | Internal library update |
1.4.0 | 2023-04-29 | #25570 | Internal library update. Bumping version to stay in sync with BigQuery-denormalized. |
1.3.4 | 2023-04-28 | #25588 | Internal scaffolding change for future development |
1.3.3 | 2023-04-27 | #25346 | Internal code cleanup |
1.3.1 | 2023-04-20 | #25097 | Internal scaffolding change for future development |
1.3.0 | 2023-04-19 | #25287 | Add parameter to configure the number of file buffers when GCS is used as the loading method |
1.2.20 | 2023-04-12 | #25122 | Add additional data centers |
1.2.19 | 2023-03-29 | #24671 | Fail faster in certain error cases |
1.2.18 | 2023-03-23 | #24447 | Set the Service Account Key JSON field to always_show: true so that it isn't collapsed into an optional fields section |
1.2.17 | 2023-03-17 | #23788 | S3-Parquet: added handler to process null values in arrays |
1.2.16 | 2023-03-10 | #23931 | Added support for periodic buffer flush |
1.2.15 | 2023-03-10 | #23466 | Changed S3 Avro type from Int to Long |
1.2.14 | 2023-02-08 | #22497 | Fixed table already exists error |
1.2.13 | 2023-01-26 | #20631 | Added support for destination checkpointing with staging |
1.2.12 | 2023-01-18 | #21087 | Wrap Authentication Errors as Config Exceptions |
1.2.11 | 2023-01-18 | #21144 | Added explicit error message if sync fails due to a config issue |
1.2.9 | 2022-12-14 | #20501 | Report GCS staging failures that occur during connection check |
1.2.8 | 2022-11-22 | #19489 | Added non-billable projects handle to check connection stage |
1.2.7 | 2022-11-11 | #19358 | Fixed check method to capture mismatch dataset location |
1.2.6 | 2022-11-10 | #18554 | Improve check connection method to handle more errors |
1.2.5 | 2022-10-19 | #18162 | Improve error logs |
1.2.4 | 2022-09-26 | #16890 | Add user-agent header |
1.2.3 | 2022-09-22 | #17054 | Respect stream namespace |
1.2.1 | 2022-09-14 | #15668 | (bugged, do not use) Wrap logs in AirbyteLogMessage |
1.2.0 | 2022-09-09 | #14023 | (bugged, do not use) Cover arrays only if they are nested |
1.1.16 | 2022-09-01 | #16243 | Fix Json to Avro conversion when there is field name clash from combined restrictions (anyOf , oneOf , allOf fields) |
1.1.15 | 2022-08-22 | #15787 | Throw exception if job failed |
1.1.14 | 2022-08-03 | #14784 | Enabling Application Default Credentials |
1.1.13 | 2022-08-02 | #14801 | Fix multiple log bindings |
1.1.12 | 2022-08-02 | #15180 | Fix standard loading mode |
1.1.11 | 2022-06-24 | #14114 | Remove "additionalProperties": false from specs for connectors with staging |
1.1.10 | 2022-06-16 | #13852 | Updated stacktrace format for any trace message errors |
1.1.9 | 2022-06-17 | #13753 | Deprecate and remove PART_SIZE_MB fields from connectors based on StreamTransferManager |
1.1.8 | 2022-06-07 | #13579 | Always check GCS bucket for GCS loading method to catch invalid HMAC keys. |
1.1.7 | 2022-06-07 | #13424 | Reordered fields for specification. |
1.1.6 | 2022-05-15 | #12768 | Clarify that the service account key json field is required on cloud. |
1.1.5 | 2022-05-12 | #12805 | Updated to latest base-java to emit AirbyteTraceMessage on error. |
1.1.4 | 2022-05-04 | #12578 | In JSON to Avro conversion, log JSON field values that do not follow Avro schema for debugging. |
1.1.3 | 2022-05-02 | #12528 | Update Dataset location field description |
1.1.2 | 2022-04-29 | #12477 | Dataset location is a required field |
1.1.1 | 2022-04-15 | #12068 | Fixed bug with GCS bucket conditional binding |
1.1.0 | 2022-04-06 | #11776 | Use serialized buffering strategy to reduce memory consumption. |
1.0.2 | 2022-03-30 | #11620 | Updated spec |
1.0.1 | 2022-03-24 | #11350 | Improve check performance |
1.0.0 | 2022-03-18 | #11238 | Updated spec and documentation |
0.6.12 | 2022-03-18 | #10793 | Fix namespace with invalid characters |
0.6.11 | 2022-03-03 | #10755 | Make sure to kill children threads and stop JVM |
0.6.8 | 2022-02-14 | #10256 | Add -XX:+ExitOnOutOfMemoryError JVM option |
0.6.6 | 2022-02-01 | #9959 | Fix null pointer exception from buffered stream consumer. |
0.6.6 | 2022-01-29 | #9745 | Integrate with Sentry. |
0.6.5 | 2022-01-18 | #9573 | BigQuery Destination : update description for some input fields |
0.6.4 | 2022-01-17 | #8383 | Support dataset-id prefixed by project-id |
0.6.3 | 2022-01-12 | #9415 | BigQuery Destination : Fix GCS processing of Facebook data |
0.6.2 | 2022-01-10 | #9121 | Fixed check method for GCS mode to verify if all roles assigned to user |
0.6.1 | 2021-12-22 | #9039 | Added part_size configuration to UI for GCS staging |
0.6.0 | 2021-12-17 | #8788 | BigQuery/BiqQuery denorm Destinations : Add possibility to use different types of GCS files |
0.5.1 | 2021-12-16 | #8816 | Update dataset locations |
0.5.0 | 2021-10-26 | #7240 | Output partitioned/clustered tables |
0.4.1 | 2021-10-04 | #6733 | Support dataset starting with numbers |
0.4.0 | 2021-08-26 | #5296 | Added GCS Staging uploading option |
0.3.12 | 2021-08-03 | #3549 | Add optional arg to make a possibility to change the BigQuery client's chunk\buffer size |
0.3.11 | 2021-07-30 | #5125 | Enable additionalPropertities in spec.json |
0.3.10 | 2021-07-28 | #3549 | Add extended logs and made JobId filled with region and projectId |
0.3.9 | 2021-07-28 | #5026 | Add sanitized json fields in raw tables to handle quotes in column names |
0.3.6 | 2021-06-18 | #3947 | Service account credentials are now optional. |
0.3.4 | 2021-06-07 | #3277 | Add dataset location option |