In this article

Overview

You can use this Snap to execute Snowflake bulk load, for example, writing data from Snowflake into an Amazon S3 bucket or a Microsoft Azure Storage Blob.

Snowflake Bulk Load Snap Settings

Snap Type

The Snowflake - Bulk Load Snap is a Write-type Snap.

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.
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>;

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:

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 for Ultra Pipelines

Works in Ultra Pipelines. However, we recommend you not to use this Snap in an Ultra Pipeline.

Limitations

Special character'~' is not supported if it is there in the temp directory name for Windows. It is reserved for user's home directory.
Snowflake provides the option to use the Cross Account IAM in the external staging. You can adopt the cross-account access through the option Storage Integration. With this setup, you don’t need to pass any credentials around, and access to the storage only using 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 like a 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).
When the bulk load operation fails due to invalid input, the error view does not display the erroneous columns correctly when the input does not contain the default columns.
This is a bug in Snowflake and is being tracked under JIRA SNOW-662311 and JIRA SNOW-640676.

Known Issues

None.

Snap Views

Type

Format

Numer of Views

Examples of Upstream and Downstream Snaps

Description

Input

Document

Min: 0
Max: 2

JSON Generator
Binary to Document

Documents containing the data to be uploaded to the target location.

Second Input View

This Snap has one document input view by default.

You can add a second input view for metadata for the table as a document so that when the target table is absent, this table metadata 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, the data types might not be properly handled.

Learn more about adding metadata for the table in the second input view from the example Providing Metadata For Table Using The Second Input View.

Output

Document

Min: 0
Max: 1

Mapper
Snowflake Execute

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. A document containing the original document provided as input 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 while 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.

Learn more about Error handling in Pipelines.

Snap Settings

Asterisk (*): Indicates a mandatory field.
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 field set.
Remove icon (): Indicates that you can remove fields from the field set.

Field Name		Field Type	Field Dependency	Description
Label* Default Value: Snowflake - Bulk Load Example: Load Employee Tables		String	N/A	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* Default Value: N/A Example: schema_demo		String/Expression/Suggestion	N/A	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.
Table Name* Default Value: N/A Example:employees_table		String/Expression/Suggestion	N/A	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.
Create table if not present Default Value: Deselected		Checkbox	N/A	Select this check box to allow the Snap to automatically create a table if a table does not exist. 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. When you provide a second input view, select Create table if not present, and the target table does not exist, then the target table is only created from the metadata of the second input view and not from the input document. 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 Default Value: Input view Example: Staged files		Dropdown list	N/A	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.
Preserve case sensitivity Default Value: Deselected		Checkbox	N/A	Select this check box 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.
Load empty strings Default Value: Deselected		Checkbox	N/A	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.
Truncate data Default Value: Deselected		Checkbox	N/A	Select this checkbox to truncate existing data before performing data load. With the Bulk Update Snap, instead of doing truncate and then update, a Bulk Insert would be faster.
Staging Location Default Value: Internal Example: External		Dropdown list	N/A	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. 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. If you want to delete the temporary files from the S3 Bucket, we recommend you assign the delete object permission policy to the S3 user to delete the files. Learn how to assign delete object permission to an S3 user in AWS S3. If you do not want to delete the temporary files, you can add an error view to the Snap and run the Pipeline.
Target Default Value: N/A Example: s3://test_bucket		String/Expression	N/A	Specify an internal or external location to load the data. If you select External for Staging Location, a staging area is created in Azure, GCS, or S3 as configured; 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 you use expression values.
Storage Integration Default Value: N/A Example:		String/Expression	Appears when you select Staged files* for Data source and External for Staging location.*	Specify the pre-defined storage integration that 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 you use expression values.
Staged file list	Use this field set to define staged file(s) to be loaded to the target file.
	Staged file	String/Expression	Appears when you select Staged files* for Data source.*	Specify the staged file to be loaded to the target table.
File name pattern Default Value: N/A		String/Expression	Appears when you select Staged files* for Data source.*	Specify a regular expression pattern string, enclosed in single quotes with the file names and /or path to match.
File format object Default Value: None		String/Expression/Suggestion	N/A	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.
File format type Default Value: None Example: CSV		Dropdown list	N/A	Specify a predefined file format object to use for loading data into the table. The available file formats include CSV, JSON, XML, and AVRO.
File format option Default value: N/A Example: BINARY_FORMAT=UTF-8		String/Expression	N/A	Specify the file format option. Separate multiple options by using blank spaces and commas. You can use various file format options including a 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 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\|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. When using external staging locations When loading numeric data from staged files, you must provide file format options depending on 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	Use this field set to specify the columns to be used in the COPY INTO command. This only applies when the Data source is Staged files.
Table Columns	Columns Default value: None	String/Expression/Suggestion	N/A	Specify the table columns to use in the Snowflake COPY INTO query. This configuration is valid 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 have two entries with values A and D. The order of the entries should match the order of the data in the staged files. If the Data source is Input view, the snap displays the following error:
Select Query Default Value: N/A Example: `select substr(t.$2,4), t.$1, t.$5, t.$4 from @mystage t`		String/Expression	Appears when the Data source* is Staged files.*	Specify the `SELECT` query to transform data before loading it into the 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 location, dimensions.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 use a temporary stage while loading your data.
Encryption type Default Value: None Example: Server-Side Encryption		Dropdown list	N/A	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) 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 Default Value: N/A Example: <Encrypted>		String/Expression	N/A	Specify the KMS key that you want to use for S3 encryption. Learn more about the KMS key, see AWS KMS Overview and Using Server Side Encryption.
Buffer size (MB) Default Value: 10MB Example: 20MB		String/Expression	N/A	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 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 Default Value: Continue to execute queued queries when the Pipeline is stopped or if it fails Example: Cancel queued queries when the Pipeline is stopped or if it fails		Dropdown list	N/A	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 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.
Additional Options
On Error Default Value:ABORT_STATEMENT Example: CONTINUE		Dropdown list	N/A	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.
Error Limit Default Value:0 Example: 3		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.
Error Percentage Limit Default Value:0 Example: 1		Integer	Appears when you select *SKIP_FILE_error_percent_limit%* for On Error.	Specify the percentage of errors to skip file. If the file exceeds the specified percentage when SKIP_FILE_number% is selected for On Error.
Size Limit Default Value: 0 Example: 5		Integer	N/A	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.
Purge Default value: Deslected		Checkbox	N/A	Specify whether to purge the data files from the location automatically after the data is successfully loaded.
Return Failed Only Default Value: Deselected		Checkbox	N/A	Specify whether to return only files that have failed to load while loading.
Force Default Value: Deselected		Checkbox	N/A	Specify if you want to load all files, regardless of whether they have been loaded previously and have not changed since they were loaded.
Truncate Columns Default Value: Deselected		Checkbox	N/A	Select this checkbox to truncate column values that are larger than the maximum column length in the table.
Validation Mode Default Value: None Example: RETURN_n_ROWS		Dropdown list	N/A	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
Validation Errors Type Default Value: Full error Example: Do not show errors		Dropdown list	Appears when you select NONE for Validation Mode.	Select one of the following methods for displaying the validation errors: Aggregate errors per row: Provides a summary view of the errors. You can expand rows to reveal a detailed view of the errors. Full error: Provides the complete error message. Do not show errors
Rows to Return Default Value: 0 Example: 5		Integer	Appears when you select RETURN_n_ROWS, RETURN_ERRORS, and RETURN_ALL_ERRORS for Validation Mode.	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
Snap Execution Default Value: Execute only Example: Validate & Execute		Dropdown list	N/A	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 interdependent 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 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 into the table.

Examples

Providing Metadata For Table Using The Second Input View

This example Pipeline demonstrates how to provide metadata for the table definition through the second input view, to enable the Bulk Load Snap to create a table according to the definition.

Configure the Snowflake Execute Snap as follows to drop the newTable with the DROP TABLE query.

2. Configure the Mapper Snap as follows to pass the input data.

3. Configure the Snowflake Bulk Load Snap with two input views:

a. First input view: Input data from the upstream Mapper Snap.

b. Second input view: Table metadata from JSON Generator. If the target table is not present, a table is created in the database based on the schema from the second input view.

JSON Generator Configuration: Table metadata to pass to the second input view.

4. Finally, configure the Snowflake Select Snap with two output views.


Output from the first input view.	Output from the second input view: This schema of the target table is from the second output (rows) of the Snowflake Select Snap.

Download this Pipeline.

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 the Snowflake database.

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

Next, 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, 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 Preview	Data in Snowflake

Finally, 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 that you do not use a temporary stage to prevent issues while loading and transforming your data.

Now, 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, connect a Snowflake Select Snap with the Snowflake - Bulk Load Snap to select the data from the Snowflake database. Upon validation you 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

Important steps to successfully reuse Pipelines

Download and import the pipeline into the SnapLogic application.
Configure Snap accounts as applicable.
Provide pipeline parameters as applicable.

	File	Modified

No files shared here yet.

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	438patches28811	01 Nov 2024	Latest	Fixed an issue with the Snowflake Snaps where the Snaps intermittently displayed an error requesting to `rollback`/`commit`.
August 2024	438patches28667	01 Nov 2024	Latest	Added the Snowflake - Snowpipe Streaming Snap that enables data insertion into Snowflake using the Snowpipe Streaming API. It allows for continuous data ingestion into Snowflake tables as soon as data becomes available.
August 2024	main27765	21 Aug 2024	Stable	Upgraded the `org.json.json` library from v20090211 to v20240303, which is fully backward compatible.
May 2024	437patches27531	07 Aug 2024	Latest	Enhanced the Snowflake - Select Snap with Time Travel query support that enables you to access historical data at any point within a defined period. This includes restoring data-related objects, duplicating and backing up data, and analyzing data usage.
May 2024	437patches27156	10 Jul 2024	Latest	Enhanced the Snowflake Azure OAuth2, Snowflake Google Storage OAuth2, and Snowflake S3 OAuth2 accounts with the Grant type dropdown list that enables you to authorize your account using the available (Authorization code, Client credentials, or Password) grant types. Updated the tooltip for the Encrypted Private Key Passphrase property in the Snowflake Azure Database Account for readability.
May 2024	437patches26821	27 Jun 2024	Latest	Added Snowflake - Vector Search Snap to enable advanced vector-based queries as part of the Select statement. Enhanced the Snowflake Snap Pack with full vector support, including schema generation and output compatibility with vector data types.
May 2024	437patches26508	28 May 2024	Latest	Fixed an issue with the Snowflake - Bulk Load and Snowflake - Bulk Upsert Snaps that displayed a `null pointer exception` when the File format type field was left blank or empty. Upgraded the JDBC driver for the Snowflake Snap Pack to v3.16.0.
May 2024	main26341	08 May 2024	Stable	Enhanced the Snowflake Bulk Load and Snowflake Insert Snaps to support iceberg tables. Iceberg tables partition and organize data across multiple nodes to distribute the workload and speed up data processing. Updated the Delete Condition (Truncates a Table if empty) field in the Snowflake - Delete Snap 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	436patches25630	28 Mar 2024	Latest	Enhanced the Snowflake Bulk Load Snap to fetch the file format types based on the selected Datasource. The Snap now supports only CSV and NONE file format types (as a Suggestions list) when the Datasource is Input view. Enhanced the Snowflake Bulk Upsert Snap to support only CSV and NONE file format types (as a Suggestions list).
February 2024	main25112	14 Feb 2024	Stable	Updated and certified against the current SnapLogic Platform release.
November 2023	435patches24865	05 Feb 2024	Latest	Fixed an issue across the Snowflake Snaps that populated all suggestions for the Schema and Table Names existing in the configured Snowflake Account. Now, the Snaps only populate suggestions related to the database configured in the Account.
November 2023	435patches24110	14 Dec 2023	Latest	Added a lint warning to the Snowflake-Bulk Load Snap that recommends users to select the Purge checkbox when the Data source is input view and the Staging location is External.
November 2023	main23721	08 Nov 2023	Stable	The Snowflake Snap Pack is now bundled with the default Snowflake JDBC driver v3.14.
August 2023	434patches23541	30 Oct 2023	Latest	Fixed an issue with the Snowflake-Bulk Load Snap where the Snap wrote irrelevant errors to the error view when both of the following conditions occurred: The inserted data was not in the same order as the table schema. The Staging location was Internal. Now, the Snap writes the correct errors to the error view.
August 2023	main22460	16 Aug 2023	Stable	The Snowflake - Execute Snap now includes a new Query type field. When Auto is selected, the Snap tries to determine the query type automatically.
May 2023	433patches21890	17 Jul 2023	Latest	Enhanced the Snowflake - Bulk Load and Snowflake - Bulk Upsert Snaps with a new Flush chunk size (in bytes) field. When using internal staging, data is written to a temporary chunk file. When the file exceeds the specified size, it is copied to the Snowflake stage and deleted. Added validation of external storage credentials for Snowflake S3 Accounts.
May 2023	433patches21370	02 Jun 2023	Latest	Fixed an issue where the output document was missing information about the error records count and the reason for the error. Fixed an issue that caused stored procedure executions to fail in the Snowflake - Multi Execute Snap.
May 2023	main21015	10 May 2023	Stable	Snaplogic is specified as a partner tag in all requests going to Snowflake, making it easier for Snowflake to identify the requests coming from Snaplogic. The default JDBC driver JAR for the Snowflake Snap Pack is upgraded to version 3.13.28 to support the `GEOMETRY` data type.
February 2023	432patches20906	09 May 2023	Latest	The default JDBC driver JAR for the Snowflake Snap Pack is upgraded to version 3.13.28 to support the `GEOMETRY` data type. Fixed an issue with the Snowflake Multi Execute Snap to enable processing of large amounts of data (more than 2 billion records). Fixed a column mismatch issue that was caused by an assumed null AWS token that could potentially be an empty string.
February 2023	432patches20266	03 Apr 2023	Latest	Fixed an issue with the Snowflake - Bulk Load Snap that resulted in lowercase (or mixed case) column names when creating a new table under specific conditions. The new Create table with uppercase column names checkbox addresses this issue.
February 2023	432patches20120	09 Mar 2023	Latest	The Snowflake Bulk Load, Bulk Upsert, and Unload Snaps now support expressions for the Staging location field.
February 2023	main19844	09 Feb 2023	Stable	The JDBC Driver (JAR file) setting in all the Snowflake Accounts is optional. If you do not provide a JDBC driver, the account uses the default Snowflake JDBC driver JAR V3.13.25 that is bundled with the Snap Pack.
November 2022	431patches19581	20 Jan 2023	Latest	The Snowflake SCD2 Snap works as expected and does not display the `Cannot find input data related to the output record` error when you use the TIMESTAMPNTZ data type columns as Natural key fields. Fixed the memory leakage issue ( because of Key/pair authentication that occupied some memory) in the Snowflake Snaps. The performance of the Snowflake Snaps is optimized—there is less memory consumption, and exact memory dumps before and after the Pipeline execution.
November 2022	431patches19454	12 Jan 2023	Latest	The Snowflake Snap Pack supports geospatial data types. As the Snowflake Snap Pack requires using our custom Snowflake JDBC driver for full support of all data types, contact support@snaplogic.com for details.
November 2022	431patches19220	08 Dec 2022	Latest	The Snowflake S3 OAuth2 Account now support expressions for external staging fields.
November 2022	431patches19220	08 Dec 2022	Latest	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. The value must remain constant throughout the Snap’s execution and now limits support for expressions to include only Pipeline parameters. 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. The Snowflake Bulk Load Snap no longer displays the validation warning in the following cases: When you configure the Validation Mode as NONE and Validation Errors Type as Do not show errors in the Snap, or When Validation Mode is RETURN_n_ROWS, RETURN_ERRORS, or RETURN_ALL_ERRORS.
November 2022	main18944	10 Nov 2022	Stable	The Snowflake - Bulk Load Snap now routes the `403-Access Denied` error to the error view (when the error view is enabled) when you do not have `DeleteObject` permission to delete the temporary files in the S3 bucket. Fixed the following issues in the Snowflake - Bulk Load Snap: The Snap failed when the Preserve case sensitivity field was not selected and the column names in the input document and the target table were the same but the cases were different. Now, the Snap does not fail and loads the data correctly to the target table. The Snap created a table when it did not exist with multiple columns in the target table when there were two input views, but the column name cases were different in both views. Now, the Snap creates the table from the metadata provided by the second input view and loads the data into the target table from the first input view. The Snowflake 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.
November 2022	430patches18911	08 Nov 2022	Latest	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.
October 2022	430patches18781	27 Oct 2022	Latest	The Snowflake Insert and Snowflake Bulk Upsert Snaps now do not fail with the `SQL Operation failed` error, when you insert the uppercase key name into a mixed-case column if the Preserve case sensitivity checkbox is deselected. The Snowflake Bulk Load Snap now works as expected when you configure On Error with SKIP_FILE_error_percent_limit% and set the Error Percent Limit to more than the percentage of rows with invalid data in the CSV file.
October 2022	430patches18432	13 Oct 2022	Latest	The Snowflake Bulk Load Snap now has a Validation Errors Type dynamic field, which provides options for displaying validation errors. You can now choose Aggregate errors per row to display a summary view of errors.
September 2022	430patches17962	19 Sep 2022	Latest	The Snowflake Bulk Load Snap now triggers the metadata query only once even for invalid input, thereby improving the performance of Snap.
September 2022	430patches17894	15 Sep 2022	Latest	The Snowflake Select Snap now works as expected when the table name is dependent on an upstream input.
August 2022	430patches17748	02 Sep 2022	Latest	Fixes in the Snowflake Bulk Load Snap: The Snap now routes the `403-Access Denied` error to the error view (when the error view is enabled) when you do not have `DeleteObject` permission to delete the temporary files in the S3 bucket. The Snap now checks for the expiration time whenever it receives a new access token for refreshing the token in Snowflake OAuth2 account.
August 2022	430patches17377	25 Aug 2022	Latest	The following issues are fixed in the Snowflake - Bulk Load Snap: The Snap successfully loads the data even when you deselect the Preserve case- sensitivity checkbox and the source and target column names are similar, but with different casing. When the Snap has two input views, it creates the target table from the metadata provided by the second input view and loads the data into the target table from the first input view. The Snowflake Select Snap now validates successfully even when you set the Table Name field with an expression.
August 2022	main17386	11 Aug 2022	Stable	The following Snowflake Accounts support Key Pair Authentication. Snowflake Azure Database Account Snowflake Google Storage Database Account Snowflake S3 Database Account Snowflake S3 Dynamic Account
4.29 Patch	429patches16478	21 Jul 2022	Latest	Fixed an issue with Snowflake - Bulk Load Snap where Snap failed with 301 status code - SnapDataException.
4.29 Patch	429patches16458	27 Jun 2022	Latest	Fixed the following issues with the Snaps that use Snowflake Accounts Key Pair Authentication. The Snaps were not able to read the private keys provided as Pipeline parameters, because the key was malformed by replacing the line breaks with whitespace characters. Now, the private keys are properly formed and read when provided as Pipeline parameters. The Snap displayed a Null Point Exception error when you pass an invalid key into the Private Key field like test. Now, the Snap displays a valid error message. Fixed an issue with the Snaps due to an upgrade made to HikariCP that caused a conditional failure and prevented the downstream Snaps to supply the parameters to the stored procedure. Fixed an issue with Snowflake Execute and Snowflake Select Snaps where the Snap displayed an exception error when the FLOAT or DOUBLE datatype column has the value as NaN (Not a Number). Now the output value is written as-is (NaN) for FLOAT or DOUBLE datatype column and does not display an exception. Enhanced the following Snowflake Accounts with support for Key Pair Authentication. Snowflake Azure Database Account Snowflake Google Storage Database Account Snowflake S3 Database Account Snowflake S3 Dynamic Account Removed support for unencrypted Private Keys to enforce security in Snowflake accounts.
4.29	main15993	14 May 2022	Stable	Upgraded with the latest SnapLogic Platform release.
4.28 Patch	428patches15236	12 Apr 2022	Latest	Updated the Snowflake - Bulk Upsert Snap for the following: The Snap displayed a incorrect resolution when the length of the value exceeded the value defined in a column. The Snap failed with a NullPointer Exception when no value was provided for Error Limit field and Error percentage limit fields. The Snap displayed an incorrect error message when S3 details were not provided. Added the On Error dropdown list, where you can select an action to perform when the Snap encounters errors in a file. Removed the Username field in the following accounts to allow reusing of accounts among different users: Snowflake Azure OAuth2 Account Snowflake S3 OAuth2 Account Snowflake Google Storage OAuth2 Account The following enhancements were done for Snowflake - Bulk Load Snap: The Snap skips AWS account validation if S3 Storage Integration property is provided. The Snap skips the validate command if S3 Storage Integration property is not provided The Snap overrides the storage integration specified in the account settings with the storage integration specified in the Snap settings. Enhanced the Snowflake - Unload Snap to skip AWS account validation if S3 Storage Integration property is provided.
4.28	main14627	12 Feb 2022	Stable	Enhanced the Snowflake S3 Database Account with the S3 Storage Integration field to support authentication of Amazon S3 bucket hosting as the external stage. When you provide a value in this field, the Snap enables the COPY command to avoid using AWS credentials for authentication. Added the following account types that enable OAuth2 authentication for all the Snowflake Snaps. Snowflake Azure OAuth Account Snowflake Google Storage OAuth2 Account Snowflake S3 OAuth2 Account Updated the label for Delete Condition to Delete Condition (Truncates Table if empty) in the Snowflake Delete Snap
4.27	427patches12999	23 Nov 2021	Latest	Enhanced the Snowflake SCD2 Snap to support Pipeline parameters for Natural key and Cause-historization fields.
4.27	main12833	13 Nov 2021	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 Patch	426patches11469	03 Sep 2021	Latest	Fixed 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.
4.26	main11181	14 Aug 2021	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
4.25	425patches10190	07 Jul 2021	Latest	Enhanced 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.
4.25	main9554	08 May 2021	Stable	Upgraded with the latest SnapLogic Platform release.
4.24 Patch	424patches8905	14 Apr 2021	Latest	Enhanced 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.
4.24	main8556	13 Feb 2021	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	28 Dec 2020	Latest	Fixed the performance issue in the Snowflake - Bulk Load Snap while using External Staging on Amazon S3.
4.23	main7430	14 Nov 2020	Stable	Enhanced the Snowflake - Unload and Snowflake - Bulk Load Snaps with Storage Integration field which supports using the Cross Account IAM in the external staging. Enhanced the following Snowflake Snaps by enabling session management for Snowflake queries by adding Manage Queued Queries field to enables you to track and cancel queued queries when the pipeline stops or fails. The default option allows the pipeline to continue the queued queries and not have the Snowflake Snaps to trigger additional queries for session management: Snowflake - Bulk Load \| Snowflake - Bulk Upsert Snowflake - Insert \| Snowflake - Delete Snowflake - Execute \| Snowflake - Multi Execute Snowflake - Lookup \| Snowflake - Select Snowflake - Unload \| Snowflake - Update Snowflake SCD2
4.22 Patch	422patches7246	06 Nov 2020	Latest	Fixed an issue with the Snowflake Snaps that failed while displaying similar error in the Snowflake URL connection: `message, javax.management.MalformedObjectNameException: Invalid character '=' in value part of property, repeatedly when there is "=" or ":"` .
4.22 Patch	422patches6849	16 Oct 2020	Latest	Enhanced the following Snowflake Snaps by adding a new field, Manage Queued Queries, to enable you to decide whether a given Snap should continue or cancel executing the queued Snowflake Execute SQL queries. Snowflake - Bulk Load \| Snowflake - Bulk Upsert Snowflake - Insert \| Snowflake - Delete Snowflake - Execute \| Snowflake - Multi Execute Snowflake - Lookup \| Snowflake - Select Snowflake - Unload \| Snowflake - Update Snowflake SCD2 Enhanced Snowflake Snaps by enabling the Session Management of the Snowflake Queries to give the user an option to be able to track and cancel queued queries when the pipeline stops or fails. Default option is to let the pipeline to continue the queued queries and not have the Snowflake Snaps to trigger additional queries for session management.
4.22	main6403	12 Sep 2020	Stable	Updated with the latest SnapLogic Platform release.
4.21 Patch	421patches6272	27 Jul 2020	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	02 Jul 2020	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 the Snowflake Snap Pack.
4.21 Patch	db/snowflake8860	02 Jun 2020	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	19 May 2020	Latest	Fixed the connection issue in Database Snaps by detecting and closing open connections after the Snap execution ends.
4.21	snapsmrc542	09 May 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.20 Patch	db/snowflake8800	14 Apr 2020	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	03 Mar 2020	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.
4.20	snapsmrc535	08 Feb 2020	Stable	Upgraded with the latest SnapLogic Platform release.
4.19 Patch	db/snowflake8687	04 Feb 2020	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	04 Jan 2020	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	13 Dec 2019	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 '?'.
4.19	snaprsmrc528	14 Nov 2019	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	14 Oct 2019	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	14 Oct 2019	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	09 Oct 2019	Latest	Fixed an issue with the PostgreSQL grammar to better handle the single quote characters.
4.18 Patch	db/snowflake7821	16 Sep 2019	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	28 Aug 2019	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	20 Aug 2019	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.
4.18	snapsmrc523	10 Aug 2019	Stable	Added the Use Result Query property to the Multi Execute Snap, which enables you to write results to an output view.
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 Patch	db/snowflake7396	10 Jun 2019	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	31 May 2019	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.
4.17	snapsmrc515	11 Jun 2019	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	13 Mar 2019	Latest	Fixed an issue with the Snowflake Lookup Snap failing when Date datatype is used in JavaScript functions.
4.16 Patch	db/snowflake6928	08 Mar 2019	Latest	Added support for file format options for input data from upstream Snaps, to the Snowflake Bulk Load Snap.
4.16 Patch	db/snowflake6819	22 Feb 2019	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.
4.16	snapsmrc508	16 Feb 2019	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 driver 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.
4.15	snapsmrc500	15 Dec 2018	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.
4.14	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	Upgraded with the latest SnapLogic Platform release.
4.11 Patch	MULTIPLE4377	18 Dec 2017	Latest	Fixed a document call issue that was slowing down the Snowflake Bulk Load Snap.
4.11 Patch	db/snowflake4283	16 Nov 2017	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	14 Nov 2017	Latest	Snowflake Bulk Load - Resolved an issue with Snowflake Bulk Load Delimiter Consistency (comma and newline).
4.11	snapsmrc465	11 Nov 2017	Stable	Upgraded 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	12 Aug 2017	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 driver JAR version 3.1.1 on the Database and the Dynamic accounts.
4.9.0 Patch	snowflake3234	06 Jul 2017	Latest	Enhanced Snowflake - Execute Snap results to include additional details
4.9.0 Patch	snowflake3125	22 Jun 2017	Latest	Addressed an issue in Snowflake Bulk Load where the comma character in a value is not escaped.
4.9	snapsmrc405	13 May 2017	Stable	JDBC 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	27 Mar 2017	Latest	Potential fix for JDBC deadlock issue.
4.8.0 Patch	snowflake2739	09 Mar 2017	Latest	Addressed an issue with the Snowflake schema not correctly represented in the Mapper Snap.
4.8	snapsmrc398	11 Feb 2017	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. Note that the Snowflake Select, Table List and Lookup Snap views remain unchanged.