On this Page

Snap type:

Write

Description:

This Snap allows you to load data into BigQuery easily leveraging the jobs and query APIs. A complete list of supported queries as well as examples are documented here: https://cloud.google.com/bigquery/query-reference.

Expected upstream Snaps: The Snap will expose a schema of the selected table that can be mapped using Mapper or any other Snap that has the same schema as the table selected.
Expected downstream Snaps: Mapper or [None]
Expected input: [None]
Expected output: Count of the number of records successfully inserted / Erroneous records are written out to the Error view.

Snaps in Google BigQuery Snap Pack

Write datetime values to the database tables, always in UTC format.
Convert any non-UTC values in the incoming data to UTC before writing them.
Consider datetime values without the time zone mentioned, as in UTC.

So, ensure that you include the time zone in all the datetime values that you load into Google BigQuery tables using this Snap.

For example: "2020-08-29T18:38:07.370 America/Los_Angeles", “2020-09-11T10:05:14.000-07:00", “2020-09-11T17:05:14.000Z”

Prerequisites:

[None]

Support, limitations, and known issues

Works in Ultra Tasks.

Known Issue

Copying data by creating a table with the same name in Google BigQuery immediately after deleting it, may not insert the rows as expected. This behavior is due to the way the tables are cached and the internal table ID is propagated throughout the system.

Workaround

We recommend you avoid rewriting in Google BigQuery and suggest the following workarounds. You can choose to use them individually or in unison, to suit your requirement.

Truncate the existing table instead of deleting it.
Add some randomly generated prefix to the table name each time you create the table (new or unique table name every time).

Behavior Change

In the 4.27 (427patches13615) release and later, pipelines that truncated (or deleted and re-created) a table and then used the BigQuery Write or BigQuery Bulk Load (Streaming) Snaps were allowed to retry the load operation. This lead to potential data loss because Google BigQuery uses an eventually consistent backend where one server might respond that it’s okay to write, but other servers still truncate the table.

In the 4.32 (432patches20298) release and later, we disabled retries on truncated tables in these two Snaps to prevent a potential loss of data. We recommend that you use the BigQuery Bulk Load (Cloud Storage) Snap instead.

Account:

This Snap uses account references created on the Accounts page of SnapLogic Manager to handle access to this endpoint. See Google BigQuery Account for information on the type of account to use.

Views:

Input	This Snap has exactly one document input view. By connecting a Snap like Mapper, the schema of the selected table maybe viewed and mapped to send data into the columns.
Output	This Snap has at most one document output view that displays the number of records successfully inserted into the BigQuery table.
Error	This Snap has at most one document error view and produces zero or more documents in the view. The error view would contain error, reason, resolution and stack trace like invalid queries, column names, and so on.

Settings

Label

Specify a name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your pipeline.

Project ID

Required. This drop-down shows you a list of all the available projects that your user Account has access to. Clicking on the drop-down always pulls the latest list of available projects. The project on which the query should be executed should be selected.

Dataset ID

Required. After selecting the project, this drop-down will be populated with the list of available datasets in the Project.

Table ID

Required. After selecting the dataset, this drop-down will be populated with the list of available tables in the project. All the tables in BigQuery can also be viewed from the BigQuery console and entered directly into this field.

Create table if not present

Whether the table should be automatically created if not already present.

Default value: Not selected

Snap execution

Select one of the three modes in which the Snap executes. Available options are:

Validate & Execute: Performs limited execution of the Snap, and generates a data preview during Pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during Pipeline runtime.
Execute only: Performs full execution of the Snap during Pipeline execution without generating preview data.
Disabled: Disables the Snap and all Snaps that are downstream from it.

Writing numeric values into Google BigQuery tables

Google BigQuery tables support columns with NUMERIC data type to allow storing big decimal numbers (up to 38 digits with nine decimal places). But Snaps in Google BigQuery Snap Pack that load data into tables cannot create numeric columns. When the Create table if not present check box is selected, the Snaps create the required table schema, but map big decimals to a FLOAT64 column. So, to store the data into numeric columns using these Snaps, we recommend the following actions:

Create the required schema, beforehand, with numeric columns in Google BigQuery.
Pass the number as a string.

The Google API converts this string into a number with full precision and saves it in the numeric column.

Example:

Value Passed Through Snap	Value Stored in BigQuery	Remarks
`"12345678901234567890123456789.123456789"`	12345678901234567890123456789.123456789	As per this issue logged in Google Issue Tracker, if you send the values as strings, the values are never converted to floating-point form, so this works as expected.
`12345678901234567890123456789.123456789`	123456789012345678000000000000	Big decimal values sent as non-string values lose precision.

Example

The sample pipeline is as shown below that writes data into a BigQuery table.

The input record is passed from the JSON Generator. Its contents are shown below.

The BigQuery Write Snap with Project ID, Dataset ID and Table ID completed is shown as below.

The number of records inserted into the BigQuery table are shown in the output view.

Snap Pack History

Click to view/expand

Release	Snap Pack Version	Date	Type	Updates
November 2024	main29029	13 Nov 2024	Stable	Updated and certified against the current SnapLogic Platform release.
August 2024	438patches28058	13 Sep 2024	Latest	Fixed an issue with the BigQuery Table Data List Snap that displayed a `null pointer exception` when the table source schema contained a nested `Array list` schema.
August 2024	main27765	21 Aug 2024	Stable	Updated and certified against the current Snaplogic Platform release.
May 2024	main26341	08 May 2024	Stable	Updated and certified against the current SnapLogic Platform release.
February 2024	main25112	14 Feb 2024	Stable	Updated and certified against the current SnapLogic Platform release.
November 2023	main23721	08 Nov 2023	Stable	Updated and certified against the current SnapLogic Platform release.
August 2023	main22460	16 Aug 2023	Stable	Updated and certified against the current SnapLogic Platform release.
May 2023	433patches22057	11 Aug 2023	Latest	Introduced the Google BigQuery Upsert (Streaming) Snap, which enables you to perform bulk update/insert operations into a BigQuery table from existing tables or any input data stream.
May 2023	433patches21955	24 Jul 2023	Latest	Fixed an issue with the GBQ-Google Service Account that caused an input stream to remain open.
May 2023	main21015	10 May 2023	Stable	Updated and certified to be compatible with the August SnapLogic Platform release.
February 2023	432patches20962	09 May 2023	Latest	Fixed an intermittent null pointer exception that occurred in the BigQuery Write Snap.
February 2023	432patches20298	28 Mar 2023	Latest	Disabled retries on truncated tables for the the BigQuery Write and BigQuery Bulk Load (Streaming) Snaps. Added better error messages for error conditions in the BigQuery Table Data List Snap. Fixed an issue with the BigQuery Table Create Snap that caused an error to display when fields were separated with a comma and a space. Fixed an issue with the sorting of the Partitioning time dropdown in the BigQuery Table Create Snap.
February 2023	432patches19840	01 Mar 2023	Latest	Fixed an issue with the Google BigQuery Bulk Load (Streaming) Snap that caused the `Table not found` message to display even when Create table if not present was selected.
February 2023	main19844	09 Feb 2023	Stable	Introduced the following new Snaps: Google BigQuery Table Create Snap—enables you to create tables that support clustering and partitioning. Google BigQuery Table Data List Snap—enables you to read table data from a BigQuery dataset and lists the contents of the table in rows in the output.
November 2022	431patches19301	12 Jan 2023	Latest	The Google BigQuery Bulk Load (Streaming) Snap works as expected, with no active Timer threads remaining when the Pipeline execution fails.
November 2022	main18944	10 Nov 2022	Stable	Upgraded with the latest SnapLogic Platform release.
August 2022	main17386	11 Aug 2022	Stable	The Location field in the BigQuery Execute Snap lists all the locations in the suggestions. Introduced the following Snaps and accounts to manage datasets in Google BigQuery (GBQ): BigQuery Dataset Create: Creates datasets in the GBQ. BigQuery Dataset Delete: Removes datasets from the GBQ. BigQuery Dataset List: Lists datasets from the GBQ. BigQuery Table Delete: Removes tables from the GBQ. BigQuery Table List: Lists tables that are read from the GBQ dataset. Google Service Account JSON: Accesses the resources on GBQ using a JSON Key.
4.29	main15993	14 May 2022	Stable	Upgraded with the latest SnapLogic Platform release.
4.28 Patch	428patches15459	12 Apr 2022	Latest	Fixed an issue with Google BigQuery Execute Snap, where the Snap displayed `404 Job not found` error when calling a procedure. Fixed an issue with the Google BigQuery Bulk Load (Cloud Storage) Snap where the Snap failed, because the access token expired when it had to wait longer to execute. With this fix, the Snap is reloaded to get refreshed access token.
4.28 Patch	428patches14743	23 Feb 2022	Latest	Fixed an issue with the Google BigQuery Execute Snap, where the Snap displayed an error when the input data contained a table having the record type column and its value was null. Fixed an issue with the Google BigQuery Write Snap, when the input data contained complex data type columns (such as nested fields) and Create table if not present checkbox was selected.
4.28	main14627	12 Feb 2022	Stable	Upgraded with the latest SnapLogic Platform release.
4.27 Patch	427patches13752	12 Jan 2022	Latest	Upgraded Google BigQuery driver to 1.119.0 version to support time partition intervals by MONTH and YEAR.
4.27 Patch	427patches13615	16 Dec 2021	Latest	Fixed the table truncate 404 error with the Google BigQuery Load (Streaming) Snap by supporting the retry functionality. The Snap now waits in case of an error and retries before loading the data.
4.27 Patch	427patches12691	23 Nov 2021	Latest	Fixed an issue with the Google BigQuery Bulk Load (Cloud Storage) Snap, where the Snap failed with an exception for big query tables. The `CreateDisposition` is now set conditionally on the basis of the setting in the Create table if not present checkbox.
4.27	main12833	13 Nov 2021	Stable	Enhanced the Google BigQuery Bulk Load (Cloud Storage) Snap with the following batching and retry properties to process input records: Batching: Processes the input records in batches. Batch Size: The number of records batched per request. Batch Timeout (milliseconds): Time in milliseconds to elapse following which the batch, if not empty, will be processed even though it might be lesser than the given batch size.
4.26	main11181	14 Aug 2021	Stable	Upgraded with the latest SnapLogic Platform release.
4.25	main9554	08 May 2021	Stable	Upgraded with the latest SnapLogic Platform release.
4.24	main8556	13 Feb 2021	Stable	Upgraded with the latest SnapLogic Platform release.
4.23	main7430	14 Nov 2020	Stable	Enhanced the Google BigQuery Execute Snap and Google BigQuery accounts to enable you to choose the SQL dialect to use in the Query field. See Interpreting the SQL Query Dialect for more information. Fixed the precision loss in Google BigQuery Execute Snap output that strips millisecond values while retrieving TIMESTAMP values from Google BigQuery tables.
4.22	main6403	12 Sep 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.21	snapsmrc542	09 May 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.20 Patch	google/bigquery8773	19 Mar 2020	Latest	Fixed the NPE issue with stored procedures and DROP TABLE queries in the Google BigQuery Execute Snap.
4.20	snapsmrc535	08 Feb 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.19	snaprsmrc528	14 Nov 2019	Stable	Upgraded with the latest SnapLogic Platform release.
4.18	snapsmrc523	10 Aug 2019	Stable	Upgraded with the latest SnapLogic Platform release.
4.17	ALL7402	11 Jun 2019	Latest	Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.
4.17	snapsmrc515	11 Jun 2019	Stable	Added the Snap Execution field to all Standard-mode Snaps. In some Snaps, this field replaces the existing Execute during preview check box.
4.16	snapsmrc508	16 Feb 2019	Stable	Upgraded with the latest SnapLogic Platform release.
4.15	snapsmrc500	15 Dec 2018	Stable	Upgraded with the latest SnapLogic Platform release.
4.14	snapsmrc490	11 Aug 2018	Stable	Upgraded with the latest SnapLogic Platform release.
4.13	snapsmrc486	12 May 2018	Stable	Upgraded with the latest SnapLogic Platform release.
4.12	snapsmrc480	17 Feb 2018	Stable	Added a new property Schema auto detect in the Google BigQuery Bulk Load (Cloud Storage) Snap to support CSV and JSON files where one or more columns in the source file may not contain any values.
4.11	snapsmrc465	11 Nov 2017	Stable	Added new Snap: Google BigQuery Bulk Load (Cloud Storage) Added new Snap: Google BigQuery Bulk Load (Streaming). Updated Google Big Query Write Snap with a new Create table if not present property.
4.10 Patch	google/bigquery4046	05 Oct 2017	Latest	Addressed an issue when authenticating with Dynamic OAuth accounts.
4.10	snapsmrc414	12 Aug 2017	Stable	Upgraded with the latest SnapLogic Platform release.
4.9	snapsmrc405	13 May 2017	Stable	Upgraded with the latest SnapLogic Platform release.
4.8 Patch	bigquery2952	27 Apr 2017	Latest	Supports refreshing OAuth access tokens during long-running pipeline executions. Fixed an issue with writing small batch sizes and when querying empty dataset tables.
4.8.0 Patch	bigquery2813	05 Apr 2017	Latest	Reload OAuth account from Platform when the access token expires during pipeline execution.
4.8	snapsmrc398	11 Feb 2017	Stable	Upgraded with the latest SnapLogic Platform release.
4.7	snapsmrc382	23 Nov 2016	Stable	Upgraded with the latest SnapLogic Platform release.
4.6	snapsmrc362	13 Aug 2016	Stable	Upgraded with the latest SnapLogic Platform release.
4.5.1	snapsmrc344	18 May 2016	Stable	Upgraded with the latest SnapLogic Platform release.
4.4.1	NA	18 Mar 2016	Stable	Upgraded with the latest SnapLogic Platform release.
4.4	NA	13 Feb 2016	Stable	Upgraded with the latest SnapLogic Platform release.
4.3.2	NA	15 Jan 2016	Stable	Resolved the following issues with the Google BigQuery Execute Snap: throwing binary data in stacktrace and two error messages. improve error handling for suggestions improve error handling on bad queries suggestion bubble missing for Destination table ID Resolved an issue with Auto refresh token not working in Google BigQuery account.