Requires an input vector with the same dimension as the selected vector column.
Requires a vector input with an array of float/int data types.
Output
Document
Min: 1
Max: 1
Mapper
Copy
For each input document, all results are grouped into a single output document.
Error
Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the pipeline by choosing one of the following options from the When errors occur list under the Views tab:
Stop Pipeline Execution: Stops the current pipeline execution if the Snap encounters an error.
Discard Error Data and Continue: Ignores the error, discards that record, and continues with the remaining records.
Route Error Data to Error View: Routes the error data to an error view without stopping the Snap execution.
Suggestion icon (): Indicates a list that is dynamically populated based on the configuration.
Expression icon ( ): Indicates the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.
Add icon ( ): Indicates that you can add fields in the fieldset.
Remove icon ( ): Indicates that you can remove fields from the fieldset.
Upload icon ( ): Indicates that you can upload files.
Field Name
Field Type
Description
Label*
Default Value: AlloyDB Vector Search Example: AlloyDB VS
String
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.
Schema name
Default Value: N/A Example: VECTOR_DEMO
String/Expression/Suggestion
Specify the schema name when searching for a vector.
Table Name*
Default Value: N/A Example: VECTOR_DEMO.BOOKS
String/Expression/Suggestion
Specify the table name when searching for a vector.
Vector Column*
Default Value: N/A Example: INT_VEC
String/Expression/Suggestion
Specify the vector column name to search.
Where Clause
Default Value: N/A Example: ID > '001i0000007FVjpAAG'
String/Expression/Suggestion
Specify the where clause to use in the vector search query statement.
Because of the limitation of SQL standard, you cannot use the _SL_DISTANCE column in the where clause.
Limit Rows
Default Value: 4 Example: 3 Min Value: 1
Integer/Expression/Suggestion
Specify the number of results to return for each query.
Distance Function*
Default Value: L2 Example: COSINE
Dropdown List
Choose the similarity function to compare vectors. The available options are:
L2: (Euclidean Distance) Measures the straight-line distance between two points. It’s useful when you want to calculate the "as-the-crow-flies" distance.
L1: (Manhattan Distance) Measures the distance between two points along the axes at right angles. It’s useful in grid-based systems, like city streets.
COSINE: Measures the cosine of the angle between two vectors. It is commonly used in high-dimensional positive spaces to assess similarity irrespective of magnitude.
Inner Product: (Dot Product) Measures the similarity between two vectors. It’s useful in various applications, such as calculating the angle between vectors or finding projections.
Select this checkbox to include vector values in the response.
This field does not support input schema from the upstream Snaps.
Include scores
Default Value: Selected
Checkbox/Expression
Select this checkbox to include similarity scores in the response.
This field does not support input schema from the upstream Snaps.
When you select this checkbox, the output preview displays _SL_DISTANCE, which is the distance between the input vector and vectors in the database.
Ignore empty result
Default Value: Deselected
Checkbox
Select this checkbox if you want the Snap to produce no output when no matching vector is found. Otherwise, the Snap outputs a blank document when there are no matching vectors.
Number of retries
Default Value: 0 Example: 3
Integer/Expression
Specify the maximum number of attempts to be made to receive a response.
Retry interval (seconds)
Default Value: 0 Example: 3
Integer/Expression
Specify the minimum number of seconds the Snap must wait before each retry attempt.
Snap execution
Default Value: Validate & Execute Example: Execute only
Dropdown list
Select one of the following three modes in which the Snap executes:
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.
Snap Pack History
Click here to expand...
Release
Snap Pack Version
Date
Type
Updates
August 2024
main27765
Stable
Updated and certified against the current Snaplogic Platform release.
May 2024
437patches27416
Latest
Fixed an issue with the AlloyDB Bulk Load Snap that caused incorrect or invalid binary data to be inserted when the column was of Binary type.
May 2024
437patches27172
Latest
Added the AlloyDB - Vector Search Snap to enable advanced vector-based queries using the SELECT statement.
Upgraded the JDBC driver from v42.4.2 to v42.7.2 (Java 8). This upgrade will be part of the Stable release (GA) on August 14, 2024. The 42.7.2 JDBC driver (default driver) is now bundled with the Google AlloyDB Snap Pack. Learn more.
May 2024
4postgresupgrade26570
-
Upgraded the JDBC driver from v42.4.2 to v42.7.2 (Java 8). This upgrade will be part of the latest release on July 10, 2024, and the Stable release (GA) on August 14, 2024. The 42.7.2 JDBC driver (default driver) is now bundled with the AlloyDB Snap Pack. Learn more.
May 2024
main26341
Stable
Updated the Delete Condition (Truncates a Table if empty) field in the AlloyDB DeleteSnap to Delete condition (deletes all records from a table if left blank) to indicate that all entries will be deleted from the table when this field is blank, but no truncate operation is performed.
February 2024
main25112
Stable
Updated and certified against the current SnapLogic Platform release.
November 2023
main23721
Stable
Updated and certified against the current SnapLogic Platform release.
August 2023
main22460
Stable
The AlloyDB Execute Snap now includes a new Query type field. When Auto is selected, the Snap tries to determine the query type automatically.
May 2023
main21015
Stable
Upgraded with the latest SnapLogic Platform release.
February 2023
main19844
Stable
Upgraded with the latest SnapLogic Platform release.
November 2022
main18944
Stable
The AlloyDB Insert Snap now creates the target table only from the table metadata of the second input view when the following conditions are met:
The Create table if not present checkbox is selected.
The target table does not exist.
The table metadata is provided in the second input view.
Introduced the Google AlloyDB Snap Pack— a fully managed PostgresSQL-compatible database service that you can use for all your database workloads. This Snap Pack offers the following Snaps: