Snowflake - Bulk Load

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Overview

Snap type:

Write


Description:

This Snap executes a Snowflake bulk load, writing data into an Amazon S3 bucket or a Microsoft Azure Storage Blob.

The Snap creates temporary files in JCC when the Staging location is internal and the Data source is input view. These temporary files are removed automatically once the Pipeline completes execution.

  • Expected input: Documents containing the data to be uploaded to the target location.
  • Expected output: A document containing the original document provided as input and the status of the bulk upload 
  • Expected upstream Snaps: Any document that offers documents. For example, JSON Generator or Binary to Document Snap.
  • Expected downstream Snaps: Any Snap that accepts document. For example, Mapper or Snowflake Execute Snap.

Prerequisites:


You should 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 Prerequisites: You should have the following permissions in your Snowflake account to execute this Snap: 

  • Usage (DB and Schema): Privilege to use the database, role, and schema.
  • Create table: Privilege to create a temporary table within this 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>;
 
grant "CREATE TABLE" on database <database_name> to role <role_name>;
grant "CREATE TABLE" on schema <database_name>.<schema_name>;

For more information on Snowflake privileges, refer to 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:

  • COPY INTO - Enables loading data from staged files to an existing table.
  • PUT - Enables staging the files internally in a table or user stage.
Support and limitations:
  • Ultra Pipelines: Works in Ultra Pipelines if batching is disabled.
  • Special character '~': Not supported if it is there in temp directory name for Windows. It is reserved for user's home directory.
  • Snowflake provides the option to use the Cross Account IAM into the external staging. You can adopt the cross account access through option Storage Integration. With this setup, you don’t need to pass any credentials around, and access to the storage only using the the named stage or integration object. For more details: Configuring Cross Account IAM Role Support for Snowflake Snaps

  • Snowflake Bulk Load expects column order should be as like table from upstream snaps otherwise it will result in failure of data validation.
  • If a Snowflake Bulk Load operation fails due to inadequate memory space on the JCC node when the Data Source is Input View and the Staging Location is Internal Stage, you can store the data on an external staging location (S3, Azure Blob or GCS).
Account: 

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


Views:
Input

This Snap has one document input view by default. 

A second view can be added for metadata for the table as a document so that the target absent table can be created in the database with a similar schema as the source table. This schema is usually from the second output of a database Select Snap. If the schema is from a different database, there is no guarantee that all the data types would be properly handled.

Output

This Snap has at most one output view. If an output view is available, then the original document that was used to create the statement will be output with the status of the insert executed.

Error

This Snap has at most one error view and produces zero or more documents in the view.


Settings

Label*


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

Schema name*



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.

The values can be passed using the pipeline parameters but not the upstream parameter.

Default value: None


Table name*

Specify the name of the table to execute bulk load operation on.

The values can be passed using the pipeline parameters but not the upstream parameter.

Default value: None

Create table if not present


Select this check box to enable the Snap to automatically create a table if a table does not exist.

Default value:  Not selected

  • The data type for the columns in the new table depends on the data type of the input in the upstream Snap. If a second input view exists the data type for the columns is read from the input view.
  • Due to implementation details a newly created table is not visible to subsequent database Snaps during runtime validation. If you wish to immediately use the newly updated data you must use a child Pipeline invoked via a Pipe Exec Snap.
  • Create table if not present works only when the set Datasource is Inputview. When you select Create table if not present and the Datasource is set to a Staged files, then the Snowflake Bulk Load Snap throws a configuration exception "Failure: Invalid snap configuration", because this Snap does not support table creation when you upload existing files. You can create a table if a table does not exist and retry.

This should not be used in production since there are no indexes or integrity constraints on any column and the default varchar() column is over 30k bytes.


Data source


Specify the source from where the data should load. The available options are Input view and Staged files.

When the option 'Input View' is selected, leave the Table Columns field empty, and if the 'Staged files' option is selected, provide the column names for the Table Columns to which the records are to be added.

Default value: Input view

Preserve case sensitivity

Select this check box to preserve the case sensitivity of the column names.

Default value: Not selected

Load empty strings

Select this check box 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.

Default value: Not selected

Staging Location


Select the type of staging location that is to be used for data loading. The available options are:

  • External: Location that is not managed by Snowflake. The location should be an AWS S3 Bucket or Microsoft Azure Storage Blob. These credentials are mandatory while validating the Account.
  • Internal: Location that is managed by Snowflake.

Default value:  Internal

Target


Specify an internal or external location to load the data. If you select External for Staging Location, a staging area is created in S3 or Azure as required; else a staging area is created in Snowflake's internal location.

The staging field accepts the following input:

  • Named Stage: The name for user-defined named stage. This should be used only when a Staging location is set as Internal. 

Format: @<Schema>.<StageName>[/path]

  • Internal Path: The staging represent with path.

Format: @~/[path]

  • S3 Url: The external S3 URL that specifies an S3 storage.

Format: s3://[path]

  • Microsoft Azure Storage Blob URL: The external URL required to connect to the Microsoft Azure Storage.

  • Folder Name: Anything else including none input. This is regarded as a Folder name under the Internal Home Path(@~) if using internal staging or under the S3 bucket and folder specified in the Snowflake account.

The value for the expression has to be provided as a pipeline parameter and cannot be provided from the Upstream Snap for performance reasons when the property is used as an expression parameter.

Default value: None


Storage Integration

Specify the pre-defined storage integration which is used to authenticate the external stages.

The value for the expression has to be provided as a pipeline parameter and cannot be provided from the Upstream Snap for performance reasons when the property is used as an expression parameter.

Default value: None

Staged file list

Specify the list of the staged file(s) to load to the target file. 


File name pattern


Specify a regular expression pattern string, enclosed in single quotes with the file names and /or path to match.

Default value: None


File format object


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 and AVRO, or other format options for data files.

Default value: None

File Format type


Specify a predefined file format object to use for loading data into the table. The available file formats include CSV, JSON, XML and AVRO.
Default value: None

File Format option


Specify the file format option. Separate multiple options by using blank spaces and commas.

You can use various file format options including binary format which passes through in the same way as other file formats. See File Format Type Options for additional information.

Before loading binary data into Snowflake, you must specify the binary encoding format, so that the Snap can decode the string type to binary types before loading into Snowflake. This can be done by specifying the following binary file format:

BINARY_FORMAT=xxx (Where XXX = HEX|BASE64|UTF-8)

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.

Example: BINARY_FORMAT=UTF-8

Default value:  [None]

When using external staging locations

  • When loading numeric data from staged files, you must provide file format options depending upon the user's data.
  • Do not use the following file format options if you selected Input view in the Data source field.

    • FIELD_DELIMITER

    • RECORD_DELIMITER

    • FIELD_OPTIONALLY_ENCLOSED_BY

Table Columns

Conditional. Specify the table columns to use in the Snowflake COPY INTO query. This only applies when the Data source is 'Staged files'. This configuration is useful when the staged files contain a subset of the columns in the Snowflake table. For example, if the Snowflake table contains columns A, B, C and D and the staged files contain columns A and D then the Table Columns field would be have two entries with values A and D. The order of the entries should match the order of the data in the staged files.

Default value: None

If the Data source is Input view, the snap displays the following error:

Select Query

Activates when you select Staged files in the Data source field.

Specify the SELECT query to transform data before loading into Snowflake database. 

The SELECT statement transform option enables querying the staged data files by either reordering the columns or loading a subset of table data from a staged file. For example, select $1:location, $1:dimensions.sq_ft, $1:sale_date, $1:price from @mystage/sales.json.gz t
This query loads the file sales.json from the internal stage mystage, (which stores the data files internally); wherein locationdimensions.sq_ft, and sale_date are the objects.

(OR)

select substr(t.$2,4), t.$1, t.$5, t.$4 from @mystage t
This query reorders the column data from the internal stage mystage before loading it into a table. The (SUBSTR), SUBSTRING function removes the first few characters of a string before inserting it.

We recommend you not to use temporary stage while loading your data.

Default value: None

Encryption type

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 the server-side encryption.
  • Server-Side KMS Encryption: The output files on Amazon S3 are encrypted with Amazon S3-generated KMS key. 

Default value: None.

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

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 (see Snowflake PUT Command Documentation.)

KMS key

Specify the KMS key that you want to use for S3 encryption. For more information about the KMS key, see AWS KMS Overview and Using Server Side Encryption.

Default value: No default value.

This property applies only when you select Server-Side KMS Encryption in the Encryption Type field above.

Additional Options



Buffer size (MB)

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

Default value: 10 MB


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. 

Manage Queued Queries

Select this property to determine whether the Snap should continue or cancel the execution of the queued Snowflake Execute SQL queries when you stop the pipeline.

If you select Cancel queued queries when pipeline is stopped or if it fails, then the read queries under execution are cancelled, whereas the write type of queries under execution are not cancelled. Snowflake internally determines which queries are safe to be cancelled and cancels those queries.

Default value: Continue to execute queued queries when pipeline is stopped or if it fails

On Error



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 a part of the output document.
  • SKIP_FILE: Skips file if any errors encountered in the file.
  • SKIP_FILE_*error_limit*: Skips file when the number of errors in the file exceeds the number specified in Error Limit.
  • SKIP_FILE_*error_percent_limit*%: Skips file when the percentage of errors in the file exceeds the percentage specified in Error percentage limit.

Default value: ABORT_STATEMENT

Error Limit


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

Error percentage limit

Specify the percentage of errors  to skip file. If the file exceeds the specified percentage when SKIP_FILE_number% is selected for On Error

Default value: 0

Size limit


Specify the maximum size (in bytes) of data to be loaded.

 At least one file is loaded regardless of the value specified for SIZE_LIMIT unless there is no file to be loaded. A null value indicates no size limit.

Default value: 0

Purge


Specify whether to purge the data files from the location automatically after the data is successfully loaded. 

Default value: Not Selected

Return Failed Only

Specify whether to return only files that have failed to load while loading.

Default value: Not Selected 

Force


Specify if you want to load all files, regardless of whether they have been loaded previously and have not changed since they were loaded.

Default value:  Not Selected

Validation mode


Select the validation mode for visually verifying the data before unloading it. The available options are:

  • NONE
  • RETURN_n_ROWS
  • RETURN_ERRORS
  • RETURN_ALL_ERRORS

Default value: None

Rows to return


Specify the number of rows not loaded into the corresponding table. Instead, the data is validated to be loaded and returns results based on the validation option specified. It can be one of the following values: RETURN_n_ROWS | RETURN_ERRORS | RETURN_ALL_ERRORS

Default value: 0

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.

Instead of building multiple Snaps with inter dependent DML queries, we recommend you to use the Stored Procedure or the Multi Execute Snap.
In a scenario where the downstream Snap depends on the data processed on an upstream database Bulk Load Snap, use the Script Snap to add delay for the data to be available.

For example, when performing a create, insert and a delete function sequentially on a Pipeline using a Script Snap helps in creating a delay between the insert and delete function. Else, it may turn out that the delete function is triggered even before inserting the records on the table.

Examples

Loading Binary Data Into Snowflake

The following example Pipeline demonstrates how you can convert the staged data into binary data using the binary file format before loading it into Snowflake database.

To begin with, we configure the Snowflake Execute Snap with this query: select * from "PUBLIC"."EMP2" limit 25——this query reads 25 records from the Emp2 table.

Next, we configure the Mapper Snap with the output from the upstream Snap by mapping the employee details to the columns in the target table. Note that the Bio column is the binary data type and the Text column is varbinary data type. Upon validation, the Mapper Snap passes the output with the given mappings (employee details) in the table.

Next, we configure the Snowflake - Bulk Load Snap to load the records into Snowflake. We set the File format option as BINARY_FORMAT=UTF-8 to enable the Snap to encode the binary data before loading.

Upon validation, the Snap loads the database with 25 employee records.

Output PreviewData in Snowflake


Finally, we connect the JSON Formatter Snap to the Snowflake - Bulk Load Snap to transform the binary data to JSON format, and finally write this output in S3 using the File Writer Snap.

Download this Pipeline.

Transforming Data Using Select Query Before Loading Into Snowflake

The following example Pipeline demonstrates how you can reorder the columns using the SELECT statement transform option before loading data into Snowflake database. We use the Snowflake - Bulk Load Snap to accomplish this task.

Prerequisite: You must create an internal or external stage in Snowflake before you transform your data. This stage is used for loading data from source files into the tables of Snowflake database.

To begin with, we create a stage using a query in the following format. Snowflake supports both internal (Snowflake) and external (Microsoft Azure and AWS S3) stages for this transformation. 

"CREATE STAGE IF NOT EXISTS "+_stageName+" url='"+_s3Location+"' CREDENTIALS = (AWS_KEY_ID='string' AWS_SECRET_KEY='string') "

This query creates an external stage in Snowflake pointing to S3 location with AWS credentials (Key ID and Secrete Key).

We recommend you not to use a temporary stage to prevent issues while loading and transforming your data.

Now, we add the Snowflake - Bulk Load Snap to the canvas and configure it to transform the data in the staged file SNAP7517_EXT_CSV.csv by providing the following query in the Select Query field:
"select t.$1,t.$4,t.$3,t.$4,t.$5,t.$6,t.$7 from @"+_stageName+" t"

You must provide the stage name along with schema name in the Select Query, else the Snap displays an error. For instance,
SELECT t.$1,t.$4,t.$3,t.$4,t.$5,t.$6,t.$7 from @mys3stage t", displays an error.
SELECT t.$1,t.$4,t.$3,t.$4,t.$5,t.$6,t.$7 from @<Schema Name>.<stagename> t", executes correctly.

Next, we connect a Snowflake Select Snap with the Snowflake - Bulk Load Snap to select the data from the Snowflake database. Upon validation we can view the transformed data in the output view.

Download this Pipeline.

 Snowflake Bulk Load Snap removes spaces from input documents

You can remove empty spaces from input documents. When you select Input view as Data Source, enter TRIM_SPACE=TRUE in the File Format Option field to remove empty spaces, if any.

Download this pipeline.

In this example, the Pipeline uses the following Snaps:

  • Data (JSON Generator): Generates a JSON document for the Snowflake - Bulk Load Snap in the Pipeline. In this example, the JSON document contains an empty space.
  • BL: Executes a Snowflake Bulk Load, writing data into an Amazon S3 bucket or a Microsoft Azure Storage Blob. Also, it enables you to remove all spaces from the input document.
  • Schema (JSON Generator): Provides the schema to interpret the document passed to the Snowflake - Bulk Load Snap.
  • Snowflake - Execute: Reads the newly uploaded document and enables you to check whether the spaces were removed as expected.

Data (JSON Generator)

Data streams from your database source, and you do not necessarily need a Snap to provide input documents. In this example, however, we use the JSON Generator Snap to provide the input document.

Input:

Output:

As you can see, the value listed against the key ACCOUNT_NAME has empty spaces in it.

Snowflake - Bulk Load

Input:

Notice that the File Format Option is TRIM_SPACE=TRUE.

Output:

Schema (JSON Generator)

Table schema is taken from your database source, and you do not necessarily need a Schema Snap to provide the table schema. In this example, however, we use the JSON Generator Snap to provide the table schema.

Input:


Output:

Snowflake - Execute

Input:

Output:

As you can see, the data no longer contains any spaces.


 Snowflake Bulk Load with Table Columns on Staged files

In this pipeline, the Snowflake Bulk Load Snap loads the records from a staged file 'employee.csv content' on to a table on Snowflake.

The staged file 'employee.csv content' is passed via the Upstream Snap:

The Snowflake Bulk Load Snap is configured with Data source as Staged files and the Table Columns added as ID, FIRSTNAME, CITY, to be loaded into a table "PRASANNA"."EMPLOYEE" on Snowflake.


The successful execution of the pipeline displays the below output preview:

If the 'employee.csv content' (Staged file) has the below details:

1,PRASANNA,Hyderabad
2,Aparna,hyderabad

Table Columns added are:
ID, FIRSTNAME, CITY

then the table, "PRASANNA"."EMPLOYEE" on Snowflake is as below:

The Snowflake table "PRASANNA"."EMPLOYEE"
Create table "PRASANNA"."EMPLOYEE" (ID int, FIRSTNAME varchar(30), LASTNAME varchar(30), CITY varchar(30), ADDRESS varchar(30), JOIN_DATE date)

Note the columns ID, FIRSTNAME and CITY are populated as provided and the LASTNAME, ADDRESS and JOIN DATE are null.

 Snowflake Bulk Load with Load empty strings property selected

In this pipeline, the Snowflake Bulk Load Snap loads the input document with empty string values as empty strings to the string-type fields. The values to be updated are passed via the upstream Mapper Snap and the Snowflake Execute Snap displays the output view of the table records.

The Mapper Snap passes the values to be updated to the table on Snowflake:

The Snowflake Bulk Load Snap with Load empty strings property selected:

The Snowflake Execute Snap runs the query to select the table 'TEST BULKLOAD' for the 'ID=1002':

The successful execution of the pipeline displays the below output preview:

The Name field is left empty. It means the empty strings are loaded as empty strings only.

The below screenshot displays the output preview (on a table with an ID=1003), wherein the Load empty strings property is not selected, and the the Name field has a value 'Null' in it:



 Snowflake Bulk Load Snap loads data from an Oracle Database

In this example, the data is loaded from the table "TECTONIC"."ADOBEPRASANNA_NEW1124"  using Oracle Select Snap to the target table "PRASANNA"."ADOBEDATA123"  using Snowflake Bulk Load Snap.

The Pipeline:

The Oracle Select Snap gets records in the table "TECTONIC"."ADOBEPRASANNA_NEW1124" and passes them to the Snowflake Bulk Load Snap: 

The Snowflake Bulk Load Snap loads records to table "PRASANNA"."ADOBEDATA123":

 

The output of the Snowflake Bulk Load Snap after executing the pipeline:  

 Loading Data from S3

This example demonstrates how you can use the Snowflake Bulk Snap to load files from an external staging location such as S3. It further shows the configuration required when loading numeric data.

Download this Pipeline. 

The Snowflake Bulk Load Snap has a minimum of 1 Input view. This is useful when the data source is Input view. Even though, within the scope of this Pipeline, the Snap does not require any input from an upstream Snap, the view cannot be disabled. 

Data is to be loaded from the staged file threecolumns.csv present in a S3 folder into the table "EXTR_PERF_01_SC"."THREECOLUMNS".

Below is a screenshot of the data in threecolumns.csv:

The Snowflake Bulk Load Snap is configured accordingly as follows:

Furthermore, since this data has numeric values, the Snowflake Bulk Load Snap is configured with the following file format options to handle any string/NULL values that may be present in the dataset: 

  • SKIP_HEADER = 1: Specifies that the first row is a header row so that all rows after the first row are loaded.
  • NULL_IF = "": Convert empty spaces to SQL NULL.
  • FIELD_OPTIONALLY_ENCLOSED_BY ="": Specifies the character used to enclose strings.

See Format Type Options for a detailed explanation of the above file format options.

Upon execution, the Snowflake Bulk Load Snap loads three rows:

To confirm that three rows were loaded, we use a Snowflake Execute Snap configured to count the number of rows in the target table:

Below is a preview of the output from the Snowflake Execute Snap. 

We can see that the count is 3, thereby confirming a successful bulk load.

You can also modify the SELECT query in the Snowflake Execute Snap to read the data in the table and thus verify the data loaded into the target table. 

 

Downloads

  File Modified

File Snowflake_Bulkload_FileFormatOption.slp

Apr 19, 2019 by Chandna Mitra

File Snowflake_BulkLoad_FromS3.slp

Nov 01, 2019 by Mohammed Iqbal

File Example_Snowflake_Bulk_Load_Transform_Data.slp

Apr 15, 2021 by Kalpana Malladi

File Example_Snowflake_Bulk_Load_Upload_Binarytype.slp

Apr 22, 2021 by Kalpana Malladi

Snap Pack History

 Click to view/expand
Release Snap Pack VersionDateType  Updates
4.27427patches12999 LatestEnhanced the Snowflake SCD2 Snap to support Pipeline parameters for Natural key and Cause-historization fields.
4.27main12833 Stable
  • Enhanced the Snowflake S3 Database Account to skip batch execution, when the Batch size value is one. When the Batch size is greater than one, the batch is executed.
  • Added the following truncate options to Snowflake - Bulk Load Snap to truncate existing data before performing data load to more efficiently transfer data where possible.
    • Truncate data: Truncates existing data before performing data load. 
    • Truncate columns: Truncates column values that are larger than the maximum column length in the table.
  • Enhanced the Snowflake - Execute Snap to invoke stored procedures.
4.26 Patch426patches11469 LatestFixed an issue with Snowflake Insert and Snowflake Bulk Load Snaps where the schema names or database names containing underscore (_) caused the time out of Pipelines.
4.26main11181 Stable
  • Enhanced Snowflake - Lookup and Snowflake SCD2 Snaps with the Input Date Format field to select from the following two options:
    • Continue to execute the snap with the given input Date format
    • Auto Convert the format to Snowflake default format
  • Added a new account type Snowflake Google Storage Database to connect to Google Cloud Storage to load data.
  • Added support for all existing Snowflake Snap accounts to connect to a Snowflake instance hosted on the Google Cloud Platform

4.25425patches10190LatestEnhanced the Snowflake S3 Database and Snowflake S3 Dynamic accounts with a new field S3 AWS Token that allows you to connect to private and protected Amazon S3 buckets.
4.25main9554
 
StableUpgraded with the latest SnapLogic Platform release.

4.24 Patch

424patches8905 LatestEnhanced the Snowflake - Bulk Load Snap to allow transforming data using a new field Select Query before loading data into the Snowflake database. This option enables you to query the staged data files by either reordering the columns or loading a subset of table data from a staged file. This Snap supports CSV and JSON file formats for this data transformation.
4.24main8556
Stable

Enhanced the Snowflake - Select Snap to return only the selected output fields or columns in the output schema (second output view) using the Fetch Output Fields In Schema check box. If the Output Fields field is empty all the columns are visible.

4.23 Patch

423patches7905 Latest

Fixed the performance issue in the Snowflake - Bulk Load Snap while using External Staging on Amazon S3.

4.23main7430
 
Stable
4.22 Patch 422patches7246 Latest

Fixes an issue with the Snowflake Snaps that fail while displaying the same error message, javax.management.MalformedObjectNameException: Invalid character '=' in value part of property, repeatedly when there is “=“ or ”:” in the Snowflake URL connection.

4.22 Patch

422patches6849 Latest
4.22main6403
 
StableUpgraded with the latest SnapLogic Platform release.

4.21 Patch

421patches6272 Latest

Fixes the issue where Snowflake SCD2 Snap generates two output documents despite no changes to Cause-historization fields with DATE, TIME and TIMESTAMP Snowflake data types, and with Ignore unchanged rows field selected.

4.21 Patch

421patches6144 Latest
  • Fixed the following issues with DB Snaps:
    • The connection thread waits indefinitely causing the subsequent connection requests to become unresponsive.
    • Connection leaks occur during Pipeline execution.
  • Fixed the exception RefCnt has gone negative across the Snaps in Snowflake Snap Pack.

4.21 Patch 

db/snowflake8860 Latest

Added a new field, Handle Timestamp and Date Time Data, to Snowflake Lookup Snap. This field enables you to decide whether the Snap should translate UTC time to your local time and the format of the Date Time data.

4.21 Patch

MULTIPLE8841 Latest

Fixed the connection issue in Database Snaps by detecting and closing open connections after the Snap execution ends. 

4.21snapsmrc542

 

StableUpgraded with the latest SnapLogic Platform release.
4.20 Patch db/snowflake8800 Latest
  • Certifies the Snowflake Snap Pack against JDBC Driver version 3.12.3.

Snowflake Execute and Multi-Execute Snaps may break existing Pipelines if the JDBC Driver is updated to a newer version.

With the updated JDBC driver (version 3.12.3), the Snowflake Execute and Multi-Execute Snaps' output displays a Status of "-1" instead of "0" without the Message field upon successfully executing DDL statements. If your Pipelines use these Snaps and downstream Snaps use the Status field's value from these, you must modify the downstream Snaps to proceed on a status value of -1 instead of 0.

This change in the Snap behavior follows from the change introduced in the Snowflake JDBC driver in version 3.8.1:
"Statement.getUpdateCount() and PreparedStatement.getUpdateCount() return the number of rows updated by DML statements. For all other types of statements, including queries, they return -1."

4.20 Patch db/snowflake8758 Latest

Re-release of fixes from db/snowflake8687 for 4.20: Fixes the Snowflake Bulk Load snap where the Snap fails to load documents containing single quotes when the Load empty strings checkbox is not selected.

4.20snapsmrc535
 
StableUpgraded with the latest SnapLogic Platform release.
4.19 Patch db/snowflake8687 Latest

Fixed the Snowflake Bulk Load snap where the Snap fails to load documents containing single quotes when the Load empty strings checkbox is not selected.

4.19 Patch 

db/snowflake8499 Latest

Added the property Handle Timestamp and Date Time Data to Snowflake - Execute and Snowflake - Select Snaps. This property enables you to decide whether the Snap should translate UTC time to your local time.

4.19 Patch 

db/snowflake8412 Latest

Fixed an issue with the Snowflake - Update Snap wherein the Snap is unable to perform operations when:

  • An expression is used in the Update condition property.
  • Input data contain the character '?'.
4.19snaprsmrc528
 
Stable
  • Added a new field-set, Auto Historization Query, in the Snowflake SCD2 Snap to support auto-historization of column data. With this enhancement you can detect whether the incoming record is a historical event or a current event.  
  • Raised the minimum buffer size in the Snowflake - Bulk Upsert and Snowflake - Bulk Load Snaps to 6 MB.
4.18 Patch db/snowflake8044 Latest

Fixed an issue with the Snowflake - Select Snap wherein the Snap converts the Snowflake-provided timestamp value to the local timezone of the account.

4.18 Patch 

db/snowflake8044 Latest

Enhanced the Snap Pack to support AWS SDK 1.11.634 to fix the NullPointerException issue in the AWS SDK. This issue occurred in AWS-related Snaps that had HTTP or HTTPS proxy configured without a username and/or password. 

4.18 Patch

MULTIPLE7884 Latest

Fixed an issue with the PostgreSQL grammar to better handle the single quote characters.

4.18 Patch 

db/snowflake7821 Latest

Fixed an issue with the Snowflake - Execute Snap wherein the Snap is unable to support the '$' character in query syntax.

4.18 Patch

MULTIPLE7778 Latest

Updated the AWS SDK library version to default to Signature Version 4 Signing process for API requests across all regions.

4.18 Patch 

db/snowflake7739 Latest
  • Fixed an issue with the Snowflake - Bulk Upsert Snap wherein the Snap fails when using a pipeline parameter in Key columns.
  • Fixed an issue with the Snowflake - Unload Snap wherein the Snap does not abort the query when you stop the Pipeline execution.
4.18snapsmrc523
 
Stable

Added the Use Result Query property to the Multi Execute Snap, which enables you to write results to an output view.

4.17ALL7402
 
Latest

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

4.17 Patch 

db/snowflake7396 Latest

Fixed an issue wherein bit data types in the Snowflake - Select table convert to true or false instead of 0 or 1.

4.17 Patch 

db/snowflake7334 Latest

Added AWS Server-Side Encryption support for AWS S3 and AWS KMS (Key Management Service) for Snowflake Bulk Load, Snowflake Bulk Upsert, and Snowflake Unload Snaps.

4.17snapsmrc515
 
Latest
  • Fixed an issue with the Snowflake Execute Snap wherein the Snap would send the input document to the output view even if the Pass through field is not selected in the Snap configuration. With this fix, the Snap sends the input document to the output view, under the key original, only if you select the Pass through field.
  • 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 Patch db/snowflake6945 Latest

Fixed an issue with the Snowflake Lookup Snap failing when Date datatype is used in JavaScript functions.

4.16 Patch 

db/snowflake6928 Latest

Added support for file format options for input data from upstream Snaps, to the Snowflake Bulk Load Snap.

4.16 Patch 

db/snowflake6819 Latest
  • Snowflake Bulk Load: Added new property, Buffer size (MB). Configure this to specify the size limit of each buffer when writing to external staging systems such as S3. 
  • Fixed an issue with the Lookup Snap passing data simultaneously to output and error views when some values contained spaces at the end.
4.16snapsmrc508
 
Stable
  • Snowflake Account: Added the ability to use SnapLogic to securely connect to and query a Snowflake instance using Azure Blob as its storage layer. 
  • Snowflake Account: Added support for Snowflake JDBC JAR version 3.6.17. 
  • Snowflake Unload, Bulk Load, and Bulk Upsert: Updated the Snaps to enable SnapLogic users to successfully connect to a Snowflake instance to query, bulk load, and unload data from Azure Blob storage.
4.15snapsmrc500
 
Stable
  • Added two new Snaps, Snowflake - Multi Execute, and Snowflake SCD2. Snowflake - Multi Execute is used for executing multiple DDL and DML queries on the Snowflake DB. Snowflake SCD2 is used for Type 2 field historization. 
  • Enhanced the Snowflake Bulk Upsert Snaps to improve the Snaps performance.
  • Enhanced the Snowflake Snap Pack to reflect Azure certification.
4.14snapsmrc490
 
StableUpgraded with the latest SnapLogic Platform release.
4.13

snapsmrc486

 
StableUpgraded with the latest SnapLogic Platform release.
4.12

snapsmrc480

 
StableUpgraded with the latest SnapLogic Platform release.
4.11 PatchMULTIPLE4377 Latest

Fixed a document call issue that was slowing down the Snowflake Bulk Load Snap.

4.11 Patch 

db/snowflake4283 Latest

Snowflake Bulk Load - Fixed an issue by adding PUT command to the list of DDL command list for Snowflake.

4.11 Patch 

db/snowflake4273 Latest

Snowflake Bulk Load - Resolved an issue with Snowflake Bulk Load Delimiter Consistency (comma and newline).

4.11snapsmrc465
 
StableUpgraded with the latest SnapLogic Platform release.

4.10 Patch

snowflake4133
Latest

Updated the Snowflake Bulk Load Snap with Preserve case sensitivity property to preserve the case sensitivity of column names.

4.10

snapsmrc414

 
Stable
  • Updated the Snowflake Bulk Load Snap with Load empty strings property for the empty string values in the input documents to be loaded as empty strings to the string-type fields.
  • Updated the Snowflake Bulk Load Snap with Table Columns to support the order of the entries on the staged files that contain a subset of the columns in the Snowflake table.
  • Added the property Use Result Query to view the output preview field with a result statement.
  • Tested for the JDBC jar version 3.1.1 on the Database and the Dynamic accounts.

4.9.0 Patch

snowflake3234 Latest

Enhanced Snowflake - Execute Snap results to include additional details

4.9.0 Patch

snowflake3125 Latest

Addressed an issue in Snowflake Bulk Load where the comma character in a value is not escaped.

4.9snapsmrc405
 
StableJDBC Driver Class property added to enable the user to custom configure the JDBC driver in the Database and the Dynamic accounts.

4.8.0 Patch

snowflake2760 Latest

Potential fix for JDBC deadlock issue.

4.8.0 Patch

snowflake2739 Latest

Addressed an issue with the Snowflake schema not correctly represented in the Mapper Snap.

4.8

snapsmrc398

 
Stable
  • Info tab added to accounts.
  • Database accounts now invalidate connection pools if account properties are modified and login attempts fail.
  • Enhanced the default count of input and output view (UI) behavior of the Snaps for better user experience. 

    Snowflake Snap Pack

    Views

    Bulk Load

    Bulk Upsert

    Insert

    Update

    Delete

    Execute

    Unload

    Select

    Table List

    Lookup

    Initial (4.7)

    Input-Output views

    1-0

    1-0

    1-0

    1-0

    0-0

    0-0

    0-0

    0-1

    0-1

    0-1

    Current (4.8)

    Input-Output views

    1-1

    1-1

    1-1

    1-1

    0-1

    0-1

    0-1

    0-1

    0-1

    0-1

    Note that the Snowflake Select, Table List and Lookup Snap views remain unchanged.