BigQuery Execute

On this Page

Snap type:

Write


Description:

This Snap allows you to execute queries on BigQuery easily leveraging the jobs and query APIs. This Snap works only with single queries. A complete list of supported queries as well as examples are documented here: https://cloud.google.com/bigquery/query-reference.

  • Expected upstream Snaps[None]
  • Expected downstream SnapsThe Snap will output one document for every record retrieved, hence any document processing Snap can be used downstream. Mapper or any other application where the data returned from the query needs to be written to are examples.
  • Expected input[None]
  • Expected outputDocument for each record retrieved. Special types such as TIMESTAMP, TIME are converted into SnapLogic internal date type representations which then can be consumed by downstream Snaps just like any other data type.

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 and limitations:Works in Ultra Tasks.
Known Issues

Google BigQuery does not support very large exponential values—larger than EXP(700). So, while displaying values of such high exponential order in the validation preview, this Snap routes to the error view, and displays the following error:
"Data conversion failed for field f0_(FLOAT) of value Infinity."
The Snap also displays empty output in the preview, which is not expected.

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:
InputThis Snap has at most one document input view.
OutputThis Snap has exactly one document output view which displays the result set returned from the query - one document for each record retrieved.
ErrorThis Snap has at most one document error view and produces zero or more documents in the view.

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 the drop-down always pulls the latest list of available projects. The project on which the query should be executed should be selected.


LocationSpecify or select a region from the list of suggested locations on which you want to execute BigQuery.

Query


The query that you want to execute on BigQuery for the selected project. For a full list of supported functions and operators for your queries, see Legacy SQL Functions and Operators and Standard SQL Functions and Operators.

  • We recommend you to add a single query in the SQL Statement field.
  • Make sure that the query conforms to either Standard SQL or Legacy SQL.
  • Use appropriate escape mechanisms for passing special/invalid characters. 
    • Backticks ( `) for Standard SQL
    • Square brackets ([ ]) in case of Legacy SQL.
  • See Sample Queries for more information.

This setting also supports expressions that can be enabled to parameterize a specific section of the query like table names or columns to be selected.


Standard SQL

Select this checkbox if you want to use the Standard SQL dialect in the Query field. It is crucial that you understand how the Snap interprets the dialect used in the Query field. 

Do not select this check box if the query contains #legacySQL prefix or uses Legacy SQL dialect.

Default value: Not selected

Destination dataset ID

Dataset ID of the dataset where the destination table has to be created in case of the query returning large query results.


Destination table ID

Table ID of the destination table to write the query results to in case of the query returning large query results.


Action on destination table

This option specifies the action that has to be taken if the destination table already exists. Options available include OVERWRITE, APPEND, and ERROR.

Default value: OVERWRITE


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.

Interpreting the SQL Query Dialect

The Snap determines the SQL dialect used in the query based on the following flags:

  • Dialect specified as prefix within the Query field (#standardSQL or #legacySQL
  • Default Standard SQL check box at account level
  • Standard SQL check box at Snap level

The prefix specified in the query ignores the other two flags.

  • When the prefix is not specified,
    • The user must select either one of the check boxes at the account level and at the Snap level to specify that the query uses Standard SQL dialect.
      • Else, the query is considered to be written in Legacy SQL.

The following matrix depicts all the possible real-time scenarios for resolving the query dialect:

Prefix in QueryCheck box at
account level
Check box at
Snap level
Query Dialect
Not specified

Legacy SQL
Not specified
Standard SQL
Not specified

Standard SQL
Not specified


Standard SQL
#legacySQL


Legacy SQL
#legacySQL


Legacy SQL
#legacySQL


Legacy SQL
#legacySQL


Legacy SQL
#standardSQL


Standard SQL
#standardSQL


Standard SQL
#standardSQL


Standard SQL
#standardSQL


Standard SQL

For existing Pipelines

  • If the prefix is defined in the Query field, the query is interpreted accordingly.
    • Else, the query is treated as using Legacy SQL dialect.
  • To mark a query without prefix as using Standard SQL, select the Standard SQL check box at the Snap level.
    • To update all Pipelines for an account to use Standard SQL, select the Default Standard SQL checkbox at the account level.

Sample Queries

Here are some SQL statements in each of the two SQL dialects, that the BigQuery Execute Snap can execute:

SQL OperationStandard SQLLegacy SQL
Select
SELECT id, name FROM `project-123.testKamal.TestTablet` 
LIMIT 5000
SELECT id, name FROM [project-123:testKamal.TestTablet] 
LIMIT 5000
Create (DDL) table with nested array
CREATE OR REPLACE TABLE `project-123.testKamal.TestTable2` 
( x INT64, y STRUCT< a ARRAY<STRING>, b BOOL > )
Not allowed in Legacy SQL.
Insert (DML)
INSERT INTO `project-123.testKamal.TestTable2` (x, y) 
VALUES (1, (['1', '2', '3'], true)), (2, (['a', 'b'], 
false))
Not allowed in Legacy SQL.
Row count
SELECT COUNT(DISTINCT x) FROM `project-
123.testKamal.TestTable2`
SELECT EXACT_COUNT_DISTINCT(x) FROM [project-
123:testKamal.TestTable2]
Convert an Array into Table rows (Flattening)
SELECT x, a, y.b as b FROM 
`project-123.testKamal.TestTable2`, UNNEST(y.a) as a
SELECT x, y.a as a, y.b as b FROM FLATTEN([project-
123:testKamal.TestTable2], y.a)
DROP (DDL)
DROP TABLE `project-123.testKamal.TestTable2`
Not allowed in Legacy SQL.


After the execution of query, the results are written to the output view. The sample output of Execute Snap looks as follows.


Snap Pack History

 Click to view/expand
Release Snap Pack VersionDateType  Updates
August 2024438patches28058 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

 

Stable

Updated and certified against the current Snaplogic Platform release.

May 2024main26341 StableUpdated and certified against the current SnapLogic Platform release.
February 2024main25112 StableUpdated and certified against the current SnapLogic Platform release.
November 2023main23721 StableUpdated and certified against the current SnapLogic Platform release.

August 2023

main22460

 


Stable

Updated and certified against the current SnapLogic Platform release.

May 2023433patches22057  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 2023433patches21955 LatestFixed an issue with the GBQ-Google Service Account that caused an input stream to remain open.
May 2023main21015 StableUpdated and certified to be compatible with the August SnapLogic Platform release.
February 2023432patches20962 LatestFixed an intermittent null pointer exception that occurred in the BigQuery Write Snap.
February 2023

432patches20298

 Latest
February 2023432patches19840 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 2023main19844 Stable
November 2022431patches19301 LatestThe Google BigQuery Bulk Load (Streaming) Snap works as expected, with no active Timer threads remaining when the Pipeline execution fails. 
November 2022main18944 StableUpgraded with the latest SnapLogic Platform release.
August 2022main17386 Stable
4.29main15993 Stable

Upgraded with the latest SnapLogic Platform release.

4.28 Patch428patches15459 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 Patch428patches14743 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.

4.28main14627 StableUpgraded with the latest SnapLogic Platform release.
4.27 Patch427patches13752 Latest

Upgraded Google BigQuery driver to 1.119.0 version to support time partition intervals by MONTH and YEAR.

4.27 Patch427patches13615 LatestFixed 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 Patch427patches12691 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

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.

4.26main11181 StableUpgraded with the latest SnapLogic Platform release.
4.25main9554
 
StableUpgraded with the latest SnapLogic Platform release.
4.24main8556
StableUpgraded with the latest SnapLogic Platform release.
4.23main7430
 
Stable
4.22main6403
 
StableUpgraded with the latest SnapLogic Platform release.
4.21snapsmrc542

 

StableUpgraded with the latest SnapLogic Platform release.
4.20 Patch google/bigquery8773 Latest

Fixed the NPE issue with stored procedures and DROP TABLE queries in the Google BigQuery Execute Snap.

4.20snapsmrc535
 
StableUpgraded with the latest SnapLogic Platform release.
4.19snaprsmrc528
 
StableUpgraded with the latest SnapLogic Platform release.
4.18snapsmrc523
 
StableUpgraded with the latest SnapLogic Platform release.
4.17ALL7402
 
Latest

Pushed automatic rebuild of the latest version of each Snap Pack to SnapLogic UAT and Elastic servers.

4.17snapsmrc515
 
Stable

Added the Snap Execution field to all Standard-mode Snaps. In some Snaps, this field replaces the existing Execute during preview check box.

4.16snapsmrc508
 
StableUpgraded with the latest SnapLogic Platform release.
4.15snapsmrc500
 
StableUpgraded with the latest SnapLogic Platform release.
4.14snapsmrc490
 
StableUpgraded with the latest SnapLogic Platform release.
4.13

snapsmrc486

 
StableUpgraded with the latest SnapLogic Platform release.
4.12

snapsmrc480

 
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. 

4.11snapsmrc465
 
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 Latest

Addressed an issue when authenticating with Dynamic OAuth accounts.

4.10

snapsmrc414

 
StableUpgraded with the latest SnapLogic Platform release.
4.9snapsmrc405
 
StableUpgraded with the latest SnapLogic Platform release.
4.8 Patchbigquery2952 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 Patchbigquery2813 Latest

Reload OAuth account from Platform when the access token expires during pipeline execution.

4.8

snapsmrc398

 
StableUpgraded with the latest SnapLogic Platform release.
4.7

snapsmrc382

 
StableUpgraded with the latest SnapLogic Platform release.
4.6snapsmrc362
 
StableUpgraded with the latest SnapLogic Platform release.
4.5.1

snapsmrc344

 
StableUpgraded with the latest SnapLogic Platform release.
4.4.1NA StableUpgraded with the latest SnapLogic Platform release.
4.4NA StableUpgraded with the latest SnapLogic Platform release.
4.3.2NA 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.