Snowflake - Bulk Upsert

Overview

You can use the Snowflake—Bulk Upsert Snap to update existing records in bulk or insert records into a target Snowflake table. Based on the account that you configure for the Snap, you can use the Snowflake Bulk Upsert Snap to upsert data into AWS S3 buckets, Microsoft Azure Storage Blobs, or Google Cloud Storage.
Note: The Snap creates temporary files in the JCC when the staging location is internal and the data source is Input view. These temporary files are removed automatically after the pipeline completes execution.

Snowflake Bulk Upsert Configuration

Prerequisites

You must have minimum permissions on the database to execute Snowflake Snaps. To understand if you already have them, you must retrieve the current set of permissions. The following commands enable you to retrieve those permissions:

SHOW GRANTS ON DATABASE <database_name>
          SHOW GRANTS ON SCHEMA <schema_name>
          SHOW GRANTS TO USER <user_name>
Security Prererequisites
You must have the following permissions in your Snowflake account to execute this Snap:
  • Usage (DB and Schema): Privilege to use the database, role, and schema.
The following commands enable minimum privileges in the Snowflake console:
grant usage on database <database_name> to role <role_name>;
grant usage on schema <database_name>.<schema_name>;

Learn more about Snowflake privileges: Access Control Privileges.

The below are mandatory when using an external staging location:

When using an Amazon S3 bucket for storage:
  • The Snowflake account should contain S3 Access-key ID, S3 Secret key, S3 Bucket and S3 Folder.
  • The Amazon S3 bucket where the Snowflake will write the output files must reside in the same region as your cluster.
When using a Microsoft Azure storage blob:
  • A working Snowflake Azure database account.
Internal SQL Commands This Snap uses the following Snowflake commands internally:
  • SELECT FROM TABLE: SELECT as a statement enables you to query the database and retrieve a set of rows. SELECT as a clause enables you to define the set of columns returned by a query.
  • COPY INTO <table>: Enables loading data from staged files to an existing table.
  • CREATE TEMPORARY TABLE: Enables creating a temporary table in the database.
  • MERGE: Enables inserting, updating, and deleting values in a table based on values in a second table or a subquery.
Note: The following requirements are mandatory when using an external staging location:

The following are mandatory when using an external staging location:

  • Amazon S3 Bucket: The Snowflake account must include the S3 Access Key ID, S3 Secret Key, S3 Bucket Name, and S3 Folder Path.
  • Amazon S3 Bucket: The S3 bucket must be located in the same region as your Snowflake cluster.
  • Microsoft Azure Blob Storage: A valid and active Snowflake Azure database account is required.
  • Google Cloud Storage: Ensure the storage bucket has the correct public access settings and access control permissions configured on the Google Cloud Platform.

Limitations and Known Issues

  • The special character ~ is not supported in the temporary directory name on Windows. It is reserved for the user's home directory.
  • Because of performance issues, all Snowflake Snaps now ignore the Cancel queued queries when pipeline is stopped or if it fails option for Manage Queued Queries, even when selected. Snaps behave as though the default Continue to execute queued queries when the Pipeline is stopped or if it fails option were selected.

Behavior change

In the 4.31 main18944 release and later, the Snowflake - Bulk Upsert Snap no longer supports values from an upstream input document in the Key columns field when the expression button is enabled. To avoid breaking your existing Pipelines that use a value from the input schema in the Key columns field, update the Snap settings to use an input value from Pipeline parameters instead.

Note: We recommend you use the second approach to prevent the Snap’s failure.

Snap views

View Description Examples of upstream and downstream Snaps
Input Incoming documents are first written to a staging file on Snowflake's internal staging area. A temporary table is created on Snowflake with the contents of the staging file. An update operation is then run to update existing records in the target table and/or an insert operation is run to insert new records into the target table.
Output If an output view is available, then the output document displays the number of input records and the status of the bulk upload.
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. The available options are:

  • Stop Pipeline Execution Stops the current pipeline execution when an error occurs.
  • 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.

Learn more about Error handling in Pipelines.

Snap settings

Legend:
  • Expression icon (): Allows using JavaScript syntax to access SnapLogic Expressions to set field values dynamically (if enabled). If disabled, you can provide a static value. Learn more.
  • SnapGPT (): Generates SnapLogic Expressions based on natural language using SnapGPT. Learn more.
  • Suggestion icon (): Populates a list of values dynamically based on your Snap configuration. You can select only one attribute at a time using the icon. Type into the field if it supports a comma-separated list of values.
  • Upload : Uploads files. Learn more.
Learn more about the icons in the Snap settings dialog.
Field / Field set Type Description
Label String Required. Specify a unique name for the Snap. Modify this to be more appropriate, especially if there are more than one of the same Snap in the pipeline.
Schema Name String/Expression/ Suggestion Required. Specify the database schema name. In case it is not defined, then the suggestion for the Table Name retrieves all tables names of all schemas. The property is suggestible and will retrieve available database schemas during suggest values.
Note: The values can be passed using the Pipeline parameters but not the upstream parameter.

Default value: N/A

Example: Schema_demo

Table Name String/Expression/ Suggestion Required. Specify the name of the table to execute bulk load operation on.
Note: The values can be passed using the Pipeline parameters but not the upstream parameter.

Default value: N/A

Example: employees_table

Staging location Dropdown list/Expression Select the type of staging location that is to be used for data loading:
  • External: Location that is not managed by Snowflake. The location should be an AWS S3 Bucket or Microsoft Azure Storage Blob or Google Cloud Storage. These credentials are mandatory while validating the Account.
  • Internal: Location that is managed by Snowflake.
Vector support:
  • This Snap supports loading data in vector data type only when the Staging location is Internal.
  • The input vector data must be an array.
  • If you use a SELECT query, you must parse the vector.

Default value: Internal

Example: External

Flush chunk size (in bytes) String/Expression Appears when you select Input view for Data source and Internal for Staging location.When using internal staging, data from the input view is written to a temporary chunk file on the local disk. When the size of a chunk file exceeds the specified value, the current chunk file is copied to the Snowflake stage and then deleted. A new chunk file simultaneously starts to store the subsequent chunk of input data. The default size is 100,000,000 bytes (100 MB), which is used if this value is left blank.

Default value: N/A

Example: 400000000

File format object String/Expression/ Suggestion Specify an existing file format object to use for loading data into the table. The specified file format object determines the format type such as CSV, JSON, XML, AVRO, or other format options for data files.

Default value: N/A

Example: jsonPath()

File format type String/Expression Specify a predefined file format object to use for loading data into the table. The available file formats include CSV, JSON, XML, and AVRO.
Note: This Snap supports only CSV and NONE as file format types when the Datasource is Input view.

Default value: N/A

Example: CSV

File format option String/Expression Specify the file format option. Separate multiple options by using blank spaces and commas.
Note:

You can use various file format options including a binary format which passes through in the same way as other file formats. Learn more: File Format Type Options. Before loading binary data into Snowflake, you must specify the binary encoding format, so that Snap can decode the string type to binary types before loading it into Snowflake. This can be done by selecting the following binary file format: BINARY_FORMAT=xxx (Where XXX = HEX|BASE64|UTF8). However, the file you upload and download must be in similar formats. For instance, if you load a file in HEX binary format, you should specify the HEX format for download as well.

Default value: N/A

Example: BINARY_FORMAT=UTF8

Encryption type Dropdown list Specify the type of encryption to be used on the data. The available encryption options are:
  • None: Files do not get encrypted.
  • Server Side Encryption: The output files on Amazon S3 are encrypted with server-side encryption.
  • Server-Side KMS Encryption: The output files on Amazon S3 are encrypted with an Amazon S3-generated KMS key.

The KMS Encryption option is available only for S3 Accounts (not for Azure Accounts and GCS) with Snowflake.

Note: If Staging Location is set to Internal, and when Data source is Input view, the Server Side Encryption and Server-Side KMS Encryption options are not supported for Snowflake snaps: This happens because Snowflake encrypts loading data in its internal staging area and does not allow the user to specify the type of encryption in the PUT API. Learn more: Snowflake PUT Command Documentation.

Default value: None

Example: Server-Side Encryption

KMS key String/Expression Specify the KMS key that you want to use for S3 encryption. Learn more about the KMS key: AWS KMS Overview and Using Server Side Encryption.
Note: This property applies only when you select Server-Side KMS Encryption in the Encryption Type field above.

Default value: N/A

Example: <Encrypted>

Buffer size (MB) String/Expression Specify the data in MB to be loaded into the S3 bucket at a time. This property is required when bulk loading to Snowflake using AWS S3 as the external staging area.
  • Minimum value: 5 MB
  • Maximum value: 5000 MB
Note: S3 allows a maximum of 10000 parts to be uploaded so this property must be configured accordingly to optimize the bulk load. Refer to Upload Part for more information on uploading to S3.

Default value: 10MB

Example: 20MB

Key columns Specify the column to use for existing entries in the target table.
Note: The Key columns field does not support values from the upstream input document when the expression button is enabled. The value must be defined for all inputs and remain constant throughout the Snap execution. Therefore, the Snap supports expressions to include only constant pipeline parameters. If you are using a function to get or transform the value from a pipeline parameter, that value must evaluate to a value that is not null and is not empty at the time of pipeline execution.
Delete Upsert Condition String Delete Upsert Condition when true, causes the case to be executed.

Default value: N/A

Example: True

Preserve case sensitivity Checkbox Select this checkbox to preserve the case sensitivity of the column names.
  • If you do not select Preserve case sensitivity, the input documents are loaded to the target table if the key names in the input documents match the target table column names ignoring the case.
  • If you include a second input view, selecting Preserve case sensitivity has no effect on the column names of the target table, because Snap uses the metadata from the second input view.

Default status: deselected

Manage Queued Queries Dropdown list Choose an option to determine whether the Snap should continue or cancel the execution of the queued queries when the pipeline stops or fails.
Note: If you select Cancel queued queries when the Pipeline is stopped or if it fails, then the read queries under execution are canceled, whereas the write type of queries under execution are not canceled. Snowflake internally determines which queries are safe to be canceled and cancels those queries.
Load empty strings Checkbox Select this checkbox to load empty string values in the input documents as empty strings to the string-type fields. Else, empty string values in the input documents are loaded as null. Null values are loaded as null regardless.
  • When you select this checkbox, the null values are treated as ,^_, to optimize the size of the temporary files stored in the staging location before loading to Snowflake. Therefore, if any of the columns in the source table contain this string (^_) the output is displayed as NULL in the target table on selecting this checkbox.
  • When you deselect this checkbox, null values are treated as empty strings.

Default status: deselected

On Error Dropdown list Select an action to perform when errors are encountered in a file. The available actions are:
  • ABORT_STATEMENT: Aborts the COPY statement if any error is encountered. The error will be thrown from the Snap or routed to the error view.
  • CONTINUE: Continues loading the file. The error will be shown as part of the output document.
  • SKIP_FILE: Skips file if any errors are encountered in the file.
  • SKIP_FILE_*error_limit*: Skips file when the number of errors in the file exceeds the specified limit.
  • SKIP_FILE_*error_percent_limit*%: Skips file when the percentage of errors in the file exceeds the specified threshold.
Strings considered as null String/Expression Specify the strings to be considered as null when loading into Snowflake. You can configure multiple case-sensitive comma-separated strings from the input data as null placeholders. This ensures effective handling of null values without impacting existing data and optimizes the storage space in the internal stage.

Default value: N/A

Example: ^_AB, _nullIf

Error Limit Integer Appears when you select SKIP_FILE_*error_limit* for On Error. Specify the error limit to skip file. When the number of errors in the file exceeds the specified error limit or when SKIP_FILE_number is selected for On Error.

Default value: 0

Example: 3

Error Percentage Limit Integer Appears when you select SKIP_FILE_*error_percent_limit*% for On Error. Specify the error limit to skip file. When the number of errors in the file exceeds the specified error limit or when SKIP_FILE_number is selected for On Error.

Default value: 0

Example: 1

Snap execution Dropdown list
Choose 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.

Default value: Execute only

Example: Validate & Execute

Troubleshooting

Cannot lookup a property on a null value.

The value referenced in the Key Column field is null.

This Snap does not support values from an upstream input document in the Key columns field when the expression button is enabled.

Update the Snap settings to use an input value from pipeline parameters and run the pipeline again.

Data can only be read from Google Cloud Storage (GCS) with the supplied account credentials (not written to it).

Snowflake Google Storage Database accounts do not support external staging when the Data source is the Input view.

Data can only be read from GCS with the supplied account credentials (not written to it).

Use internal staging if the data source is the input view or change the data source to staged files for Google Storage external staging.