External Data Package

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Package ID: @coalesce/snowflake/external-data-package

Supported Platform:

Latest Version: 2.0.3 (November 06, 2025)

Overview

Provides tools for loading and managing external data in Snowflake, including schema inference, data copying, and unloading, API integration, and parsing of Excel files.

Installation

1. Copy the Package ID: @coalesce/snowflake/external-data-package
2. In Coalesce, open the Workspace where you wish to install the package.
3. Go to the Build Setting of the Workspace, tab Packages, and click the Install button on the top right of the page.
4. Paste the Package ID, and proceed with the installation process.

Description

External Data Package

The Coalesce External Data Package includes:

• CopyInto
• Snowpipe
• External Table
• Inferschema
• CopyUnload
• API
• API-NODEUPDATE
• JDBC LOAD
• Parse Excel
• Parse Json
• Code

CopyInto

CopyInto Node Configuration

The Copy-Into node type the following configurations available:

• Node Properties
• General Options
• Source Data
• File Format
• Extended CSV File Format Options
• Copy Options

CopyInto - Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

Key points to use CopyInto Node

• CopyInto node can be created by just clicking on Create node from browser if we want the data from the file to be loaded into single variant column in target table.
• CopyInto node can be added on top of an inferred table(table created by running the inferschema node) if you want to load data into specific columns as defined in the files.Refer to Inferschema to know more on how to use the node and add Copy-Into on top of it.
• The data can be reloaded into the table by truncating the data in the table before load using the TruncateBefore option in node config or reload parameter
• The path or subfolder name inside stage where the file is located can be specified using config 'Path or subfolder'.Do not prefix or suffix '/' in path name.Example,one level 'SUBFOLDER',two levels 'SUBFOLDER/INNERFOLDER'.
• Blank options added to Copy-Into and CSV file format options to revert any specific option

Use CopyInto node with InferSchema option

• Set Infer Schema toggle to true
• Hit Create button to Infer Schema
• To choose the file format configs,refer link
• Click on Re-Sync Columns button
• If all looks good, set Infer Schema button to false
• Hit Create button to execute create table based on inferred schema
• This is mainly a test to make sure create will work
• Hit Run button to execute DML

If the above works, it should be deployable as is. Deploy will simply take the columns and execute a create table.

CopyInto - General Options

InferSchema-True

InferSchema-False

Option	Description
Create As	Select from the options to create as Table or Transient Table - Transient table -Table
TruncateBefore(Disabled when Inferschema is true)	True / False toggle that determines whether or not a table is to be truncated before reloading - True: Table is truncated and Copy-Into statement is executed to reload the data into target table - False: Data is loaded directly into target table and no truncate action takes place.
InferSchema	True / False toggle that determines whether or not to infer the columns of file before loading - True: The node is created with the inferred columns - False: No infer table step is executed

CopyInto - Source Data

InferSchema-true

InferSchema-false

Internal or External Stage

Setting	Description
Coalesce Storage Location of Stage	A storage location in Coalesce where the stage is located.
Stage Name (Required)	Internal or External stage where the files containing data to be loaded are staged
File Name(s)(Ex:a.csv,b.csv)	Specifies a list of one or more files names (separated by commas) to be loaded
Path or subfolder	Not mandatory.Specifies the path or subfolders inside the stage where the file is located.Ensure that '/' is not pre-fixed before or after the subfolder name
File Pattern (Ex:'.hea.[.]csv')	A regular expression pattern string, enclosed in single quotes, specifying the file names or paths to match

External location

Setting	Description
External URI	Enter the URI of the External location. This URI can point to either a private or public bucket/container.
Storage Integration	Specifies the name of the storage integration used to delegate authentication responsibility for external cloud storage to a Snowflake identity and access management (IAM) entity. This field is not mandatory for publicly accessible buckets or when another authentication method (such as presigned URLs or public access) is used.

CopyInto - File Format

File format definition-File format name

File format definiton-File format values

File format config-Inferschema

• It is not mandatory to create a file format in snowflake to infer the structure of the file
• If the file format definition is set to 'File format values',a temporary file format is created based on the config values and dropped on successfully inferring the structure of the table
• If the file format definition is set to 'File format name' and is of file type csv,a temporary file format is created to adapt the same to infer the structure and dropped on successfully inferring the structure of the table
• If the file format definition is set to 'File format name' and the file types except csv,the same file format is used for inferring.No temporary file formts are created.
• The temporary file format created follows the naing convention ==>TEMP_{{file_type}}_{{node name}}.Ensure that any predefined file formats created in snowflake does not have the same file format name.

File Format Definition - File Format Name

Setting	Description
* File Format Name	Specifies an existing named file format to use for loading data into the table
* File Type	CSV JSON ORC AVRO PARQUET XML

File Format Definition - File Format Values

Setting	Description
File Format Values	Provides file format options for the File Type chosen
File Type	Each file type has different configurations available
CSV	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Record delimiter-Characters that separate records in an input file Field delimiter- One or more singlebyte or multibyte characters that separate fields in an input file Field optionally enclosed by- Character used to enclose strings(octal notation preferred) Number of header lines to skip- Number of lines at the start of the file to skip Parse Header(InferSchema-true)-Boolean that specifies whether to use the first row headers in the data files to determine column names. Trim Space- Boolean that specifies whether to remove white space from fields Replace invalid characters- Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Encoding- Specifies the character set of the source data when loading data into a table Date format- String that defines the format of date values in the data files to be loaded. Time format- String that defines the format of time values in the data files to be loaded Timestamp format- String that defines the format of timestamp values in the data files to be loaded. Refer to extended options here
JSON	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character Trim Space - Boolean that specifies whether to remove white space from fields Strip Outer Array- Boolean that instructs the JSON parser to remove outer brackets [ ] Date format- String that defines the format of date values in the data files to be loaded Time format- String that defines the format of time values in the data files to be loaded Timestamp format- String that defines the format of timestamp values in the data files to be loaded
ORC	Trim Space - Specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character
AVRO	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character
PARQUET	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character Using vectorised scanner - Boolean that specifies whether to use a vectorized scanner for loading Parquet files
XML	Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character

Extended CSV File Format Options

Setting

Description

CSV

Skip blank lines- Boolean that specifies to skip any blank lines encountered in the data files Nulls for empty field- When loading data, specifies whether to insert SQL NULL for empty fields in an input file Skip byte order mark-Boolean that specifies whether to skip the BOM (byte order mark), if present in a data file. Parsing error for column mismatch-Boolean that specifies whether to generate a parsing error if the number of delimited columns (i.e. fields) in an input file does not match the number of columns in the corresponding table. Multiple lines-Boolean that specifies whether multiple lines are allowed.If MULTI_LINE is set to FALSE and the specified record delimiter is present within a CSV field, the record containing the field will be interpreted as an error. Binary format-Defines the encoding format for binary input or output. Replace values with NULL-o specify more than one string, enclose the list of strings in parentheses and use commas to separate each value. Escape optionally enclosed by-A singlebyte character string used as the escape character for unenclosed field values only.Octal notation is preferred. Escape enclosed/unenclosed values-A singlebyte character string used as the escape character for enclosed or unenclosed field values.Octal notation is preferred

CopyInto - Copy Options

Setting	Description
On Error Behavior	-String (constant) that specifies the error handling for the load operation
	* CONTINUE * SKIP_FILE * SKIP_FILE_num * SKIP_FILE_num% * ABORT_STATEMENT * BLANK OPTION
Specify the number of errors that can be skipped	-Required when On Error Behavior is either SKIP_FILE_num or SKIP_FILE_num%.Specify the number of errors that can be skipped.
Size Limit	-Number (> 0) that specifies the maximum size (in bytes) of data to be loaded for a given COPY statement
Purge Behavior	-Boolean that specifies whether to remove the data files from the stage automatically after the data is loaded successfully
Return Failed Only	-Boolean that specifies whether to return only files that have failed to load in the statement result
Force	-Boolean that specifies to load all files, regardless of whether they’ve been loaded previously and have not changed since they were loaded
Load Uncertain Files	-Boolean that specifies to load files for which the load status is unknown. The COPY command skips these files by default
Enforce Length	-Boolean that specifies whether to truncate text strings that exceed the target column length
Truncate Columns	-Boolean that specifies whether to truncate text strings that exceed the target column length

CopyInto - System Columns

The set of columns which has source data and file metadata information.

• SRC - The data from the file is loaded into this variant column.
• LOAD_TIMESTAMP - Current timestamp when the file gets loaded.
• FILENAME - Name of the staged data file the current row belongs to. Includes the full path to the data file.
• FILE_ROW_NUMBER - Row number for each record in the staged data file.
• FILE_LAST_MODIFIED - Last modified timestamp of the staged data file the current row belongs to
• SCAN_TIME - Start timestamp of operation for each record in the staged data file. Returned as TIMESTAMP_LTZ.

CopyInto Deployment

CopyInto Deployment Parameters

The CopyInto node typeincludes an environment parameter that allows you to specify if you want to perform a full load or a reload based on the load type when you are performing a Copy-Into operation.

The parameter name is loadType and the default value is ``.

{
    "loadType": ""
}

When the parameter value is set to Reload, the data is reloaded into the table regardless of whether they’ve been loaded previously and have not changed since they were loaded.As a alternate option we can use TruncateBefore option in node config

CopyInto Initial Deployment

When deployed for the first time into an environment the Copy-into node of materialization type table will execute the below stage:

Deployment Behavior	Load Type	Stages Executed
Initial Deployment	``	Create Table/Transient Table
Initial Deployment	Reload	Create Table/Transient Table

CopyInto Redeployment

Altering the CopyInto Tables

There are few column or table changes like Change in table name,Dropping existing column, Alter Column data type,Adding a new column if made in isolation or all-together will result in an ALTER statement to modify the Work Table in the target environment.

The following stages are executed:

• Rename Table| Alter Column | Delete Column | Add Column | Edit table description: Alter table statement is executed to perform the alter operation.

Copy-Into change in materialization type

When the materialization type of Copy-Into node is changed from table to transient table or viceversa,the below stages are executed:

• Drop table/transient table
• Create transient table/table

Redeployment with no changes

If the nodes are redeployed with no changes compared to previous deployment,then no stages are executed

CopyInto Undeployment

If the CopyInto node is deleted from a Workspace, that Workspace is committed to Git and that commit deployed to a higher-level environment then the target table in the target environment will be dropped.

• Drop table/transient table: Target table in Snowflake is dropped

Snowpipe

The Coalesce Snowpipe node is a node that performs two operations. It can be used to load historical data using
CopyInto. Also the Snowpipe node can be used to create a pipe to auto ingest files from AWS, GCP, or Azure.

Snowpipe enables loading data from files as soon as they’re available in a stage.

This means you can load data from files in micro-batches, making it available to users within minutes, rather than manually executing COPY statements on a schedule to load larger batches.

Key points to use Snowpipe Node

• Snowpipe node can be created by just clicking on Create node from browser if we want the data from the file to be loaded into single variant column in target table.
• Snowpipe node can be added on top of an inferred table(table created by running the inferschema node) if you want to load data into specific columns as defined in the files.Refer to Inferschema to know more on how to use the node and add Copy-Into on top of it.
• The data can be reloaded into the table by truncating the data in the table before load using the TruncateBefore option in node config or reload parameter *The path or subfolder name inside stage where the file is located can be specified using config 'Path or subfolder'.Do not prefix or suffix '/' in path name.Example,one level 'SUBFOLDER',two levels 'SUBFOLDER/INNERFOLDER'.

Use Snowpipe node with InferSchema option

• Set Infer Schema toggle to true
• Hit Create button to Infer Schema
• To choose the file format configs,refer link
• Click on Re-Sync Columns button
• If all looks good, set Infer Schema button to false
• Hit Create button to execute create table based on inferred schema
• This is mainly a test to make sure create will work
• Hit Run button to execute DML

Snowpipe Node Configuration

The Snowpipe node type the following configurations available:

• Node Properties
• General Options
• Snowpipe Options
• File Location
• File Format
• Extended CSV File Format Options
• Copy Options

InferSchema-true

InferSchema-false

Snowpipe Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

General Options

Setting	Description
Create As	Dropdown that helps us to create a table or Transient table to load data from external stage. * Table * Transient Table
InferSchema	True / False toggle that determines whether or not to infer the columns of file before loading * True -The node is created with the inferred columns * False -No infer table step is executed

Snowpipe Options

Setting	Description
Enable Snowpipe	Drop down that helps us to create a pipe to auto ingest files from external stage or validate the Copy-Into statement. * Enable Snowpipe - Load data auto ingesting files from AWS, Azure, or GCP. Choose your SNS service Toggle to check if we need to use Notification Service.If false,default Snowflake notification is used Cloud Provider. * AWS - AWS SNS Topic. Specifies the Amazon Resource Name (ARN) for the SNS topic for your S3 bucket. * Azure - Integration. Specifies the existing notification integration used to access the storage queue. * GCP - Integration. Specifies the existing notification integration used to access the storage queue. * Test Copy Statement - To validate the Copy-into statement before we use it to create PIPE
Load historical data	Loads the historic data into the target table by executing a COPY_INTO statement

Snowpipe File Location

InferSchema-true

InferSchema-false

Setting	Description
Coalesce Storage Location of Stage	A storage location in Coalesce where the stage is located.
Stage Name (Required)	Internal or External stage where the files containing data to be loaded are staged
File Name(s)(Ex:'a.csv','b.csv')	Enabled when 'Enable Snowpipe' under Snowpipe Options is toggled off. Specifies a list of one or more files names (separated by commas) to be loaded. For example, 'a.csv','b.csv'
Path or subfolder	Not mandatory.Specifies the path or subfolders inside the stage where the file is located.Ensure that '/' is not pre-fixed before or after the subfolder name
File Pattern (Ex:'.hea.[.]csv')	A regular expression pattern string, enclosed in single quotes, specifying the file names or paths to match. For example, *hea.*[.]csv'

Snowpipe File Format

File format definition-File format name

File format definition-File format values

File format config-Inferschema

• It is not mandatory to create a file format in snowflake to infer the structure of the file
• If the file format definition is set to 'File format values',a temporary file format is created based on the config values and dropped on successfully inferring the structure of the table
• If the file format definition is set to 'File format name' and is of file type csv,a temporary file format is created to adapt the same to infer the structure and dropped on successfully inferring the structure of the table
• If the file format definition is set to 'File format name' and the file types except csv,the same file format is used for inferring.No temporary file formts are created.
• The temporary file format created follows the naing convention ==>TEMP_{{file_type}}_{{node name}}.Ensure that any predefined file formats created in snowflake does not have the same file format name.
• Blank options have been added for few config options if u want to exclude any file format option

File Format Definition - File Format Name

Setting	Description
* File Format Name	Specifies an existing named file format to use for loading data into the table
* File Type	CSV JSON ORC AVRO PARQUET XML

File Format Definition - File Format Values

Setting	Description
File Format Values	Provides file format options for the File Type chosen
File Type	Each file type has different configurations available
CSV	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Record delimiter-Characters that separate records in an input file.Octal notation preferred. Field delimiter- One or more singlebyte or multibyte characters that separate fields in an input file Field optionally enclosed by- Character used to enclose strings Number of header lines to skip- Number of lines at the start of the file to skip Parse Header(InferSchema-true)-Boolean that specifies whether to use the first row headers in the data files to determine column names. Trim Space- Boolean that specifies whether to remove white space from fields Replace invalid characters- Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Encoding- Specifies the character set of the source data when loading data into a table Date format- String that defines the format of date values in the data files to be loaded. Time format- String that defines the format of time values in the data files to be loaded Timestamp format- String that defines the format of timestamp values in the data files to be loaded. Refer to extended options here
JSON	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Trim Space - Boolean that specifies whether to remove white space from fields Strip Outer Array- Boolean that instructs the JSON parser to remove outer brackets [ ]. Date format- String that defines the format of date values in the data files to be loaded Time format- String that defines the format of time values in the data files to be loaded Timestamp format- String that defines the format of timestamp values in the data files to be loaded
ORC	Trim Space - Specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character
AVRO	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character.
PARQUET	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character Using vectorised scanner - Boolean that specifies whether to use a vectorized scanner for loading Parquet files
XML	Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character

Snowpipe Extended CSV File Format Options

Setting

Description

CSV

Skip blank lines- Boolean that specifies to skip any blank lines encountered in the data files Nulls for empty field- When loading data, specifies whether to insert SQL NULL for empty fields in an input file Skip byte order mark-Boolean that specifies whether to skip the BOM (byte order mark), if present in a data file. Parsing error for column mismatch-Boolean that specifies whether to generate a parsing error if the number of delimited columns (i.e. fields) in an input file does not match the number of columns in the corresponding table. Multiple lines-Boolean that specifies whether multiple lines are allowed.If MULTI_LINE is set to FALSE and the specified record delimiter is present within a CSV field, the record containing the field will be interpreted as an error. Binary format-Defines the encoding format for binary input or output. Replace values with NULL-o specify more than one string, enclose the list of strings in parentheses and use commas to separate each value. Escape optionally enclosed by-A singlebyte character string used as the escape character for unenclosed field values only Escape enclosed/unenclosed values-A singlebyte character string used as the escape character for enclosed or unenclosed field values.

Snowpipe Copy Options

Setting	Description
On Error Behavior	String (constant) that specifies the error handling for the load operation * CONTINUE * SKIP_FILE * SKIP_FILE_num * Specify the number of errors that can be skipped. * SKIP_FILE_num% * Specify the number of errors that can be skipped * BLANK OPTION
Enforce Length	Boolean that specifies whether to truncate text strings that exceed the target column length
Truncate Columns	Boolean that specifies whether to truncate text strings that exceed the target column length

Snowpipe System Columns

The set of columns which has source data and file metadata information.

• SRC - The data from the file is loaded into this variant column.
• LOAD_TIMESTAMP - Current timestamp when the file gets loaded.
• FILENAME - Name of the staged data file the current row belongs to. Includes the full path to the data file.
• FILE_ROW_NUMBER - Row number for each record in the staged data file.
• FILE_LAST_MODIFIED - Last modified timestamp of the staged data file the current row belongs to
• SCAN_TIME - Start timestamp of operation for each record in the staged data file. Returned as TIMESTAMP_LTZ.

Key points to use Snowpipe node

• Snowpipe node can be created by just clicking on Create node from browser if we want the data from the file to be loaded into single variant column in target table.
• Snowpipe node can be added on top of an inferred table(table created by running the inferschema node) if you want to load data into specific columns as defined in the files.Refer to Inferschema to know more on how to use the node and add Snowpipe node on top of it.

Use Snowpipe node with InferSchema option

• Set Infer Schema toggle to true
• Hit Create button to Infer Schema
• Click on Re-Sync Columns button
• If all looks good, set Infer Schema button to false
• Hit Create button to execute create table based on inferred schema and pipe to ingest data

If the above works, it should be deployable as is. Deploy will simply take the columns and execute a create table and snowpipe

Snowpipe Deployment

Snowpipe Deployment Parameters

The Snowpipe includes twp environment parameters.The parameter loadType allows you to specify if you want to perform a full load or a reload based on the load type when you are performing a Copy-Into operation. The another parameter targetIntegration allows you to specify the Integration name to be used for auto ingesting files from Clous providers

The parameter name is loadType and the default value is ``.

{
    "loadType": ""
}

When the parameter value is set to Reload, the data is reloaded into the table regardless of whether they’ve been loaded previously and have not changed since they were loaded.

The parameter name is targetIntegration and the default value is DEV ENVIRONMENT.

When set to DEV ENVIRONMENT the value entered in the Snowpipe Options config Integration is used for ingesting files from Azure/GCP Cloud providers.

{
    "targetIntegration": "DEV ENVIRONMENT"
}

When set to any value other than DEV ENVIRONMENT the node will use the specified value for Integration.

For example, the Snowpipe node will use the specific value for auto ingestion.

{
    "targetIntegration": "arn:aws:sqs:us-east-1:832620633027:sf-snowpipe-AIDA4DXAOTPB7IF437EPD-lZe8ciYpPqGgC9KwWLmiIQ"
}

The parameter name is targetAWSSNSTopic and the default value is DEV ENVIRONMENT.

When set to DEV ENVIRONMENT the value entered in the Snowpipe Options config AWS SNS Topic is used for ingesting files from AWS Cloud providers where a customer prefers SNS service.

{
    "targetAWSSNSTopic": "DEV ENVIRONMENT"
}

When set to any value other than DEV ENVIRONMENT the node will use the specified value for Integration.

For example, the Snowpipe node will use the specific value for auto ingestion.

{
    "targetAWSSNSTopic": "arn:aws:sqs:us-east-1:832620633027:sf-snowpipe-AIDA4DXAOTPB7IF437EPD-lZe8ciYpPqGgC9KwWLmiIQ"
}

Snowpipe Initial Deployment

When deployed for the first time into an environment the Snowpipe node will execute the below stages depending on if Enable Snowpipe is enabled,'Load Historical Data' is enabled and the loadType parameter.

Deployment Behavior	Enable Snowpipe	Historical Load	Load Type	Stages Executed
Initial Deployment	Enable Snowpipe	true	``	Create Table Historical full load using CopyInto Create Pipe Alter Pipe
Initial Deployment	Enable Snowpipe	true	Reload	Create table Truncate Target table Historical full load using CopyInto Create Pipe Alter Pipe
Initial Deployment	Enable Snowpipe	false	Reload or Empty	Create table Truncate Target table Create Pipe
Initial Deployment	Test Copy Statement	false	Reload or Empty	Create table Test Copy Statement-No pipe creation

Snowpipe Redeployment

Altering the Snowpipe node

There are few column or table changes like Change in table name, Dropping existing column, Alter Column data type, Adding a new column if made in isolation or all-together will result in an ALTER statement to modify the target Table in the target environment.Any table level changes or node config changes results in recreation of pipe

The following stages are executed:

• Rename Table| Alter Column | Delete Column | Add Column| Edit table description |: Alter table statement is executed to perform the alter operation.
• Truncate target table:The target table is truncated in case the Load Type parameter is set to 'Reload'
• Historical full load using CopyInto:Historical data are loaded if 'Load Historical' toggle is on.
• Create Pipe: Pipe is recreated if enable snowpipe option is true
• Alter Pipe:Pipe is refreshed if 'Load Historical' toggle is on.

Redeployment with no changes

If the nodes are redeployed with no changes compared to previous deployment,then no stages are executed

Snowpipe Undeployment

If the Snowpipe node is deleted from a Workspace, that Workspace is committed to Git and that commit deployed to a higher-level environment then the target table in the target environment will be dropped.

This is executed in two stages:

• Drop Table: Target table is dropped
• Drop Pipe: Pipe is dropped

External Tables

The Coalesce External Table nodes create a new external table in the current/specified schema or replaces an existing external table.

An external table reads data from a set of one or more files in a specified external stage which can point to AWS,GCP or Azure cloud providers.

External Tables Node Configuration

The External table node type has four configuration groups:

• Node Properties
• General Operations
• File Location
• File Format
• Additional Options

External Tables Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

General Options

Settings	Description
InferSchema	True / False toggle that determines whether or not to infer the columns of file before loading * True -The node is created with the inferred columns * False -No infer table step is executed
Partition by toggle	When set to true,we get to choose partition column from dropdown.A partition column must evaluate as an expression that parses the path and/or filename information in the METADATA$FILENAME.By default the partitioning is done by FILENAME column
Partition Column dropdown(Partition by toggle true)	Get to choose the partition column with appropriate trnasformation from dropdown

External Tables Node File Location

InferSchema-true

InferSchema-false

Settings	Description
Coalesce Stage Storage Location of Stage(Required)	A storage location in Coalesce where the stage is located
Stage Name (Required)	Internal or External stage where the files containing data to be loaded are staged
File Name(s)(Ex:'a.csv','b.csv')	Enabled when InferSchema toggle is true. Specifies a list of one or more files names (separated by commas) to be loaded. For example, 'a.csv','b.csv'
File Pattern	A regular expression pattern string, enclosed in single quotes, specifying the file names or paths to match. For example, *hea.*[.]csv'

External Tables File Format

InferSchema-true

InferSchema-false

File Format Definition - File Format Name

Settings	Description
Coalesce Storage Location of File Format	Location in Coalesce pointing to the database and schema,the file format resides.Mandatory when File Format Name is chosen
File Format Name	Specifies an existing named file format to use for loading data into the table
File Type	* CSV * JSON * ORC * AVRO * PARQUET

File Format Definition - File Format Values

Settings	Description
File Format Values	-Provides file format options for the File Type chosen
File Type	Each file type has different configurations available
CSV	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Record delimiter-Characters that separate records in an input file Field delimiter- One or more singlebyte or multibyte characters that separate fields in an input file Field optionally enclosed by- Character used to enclose strings Number of header lines to skip- Number of lines at the start of the file to skip Skip blank lines- Boolean that specifies to skip any blank lines encountered in the data files Trim Space- Boolean that specifies whether to remove white space from fields Replace invalid characters- Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Date format- String that defines the format of date values in the data files to be loaded. Time format- String that defines the format of time values in the data files to be loaded Timestamp format-String that defines the format of timestamp values in the data files to be loaded
JSON	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Trim Space - Boolean that specifies whether to remove white space from fields Strip Outer Array- Boolean that instructs the JSON parser to remove outer brackets [ ]. Date format- String that defines the format of date values in the data files to be loaded Time format- String that defines the format of time values in the data files to be loaded Timestamp format- String that defines the format of timestamp values in the data files to be loaded
ORC	Trim Space - Specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character
AVRO	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character.
PARQUET	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character.
XML	Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character

External Tables Additional Options

Settings

Description

Auto refresh

-True/False toggle that specifies whether Snowflake should enable triggering automatic refreshes of the external table metadata when new or updated data files are available in the named external stage * False - Auto refresh does not take place * True - Auto refresh takes place. Setting this to true, give you the option to choose a Cloud Provider from AWS, Azure, and GCP. * AWS - AWS SNS Topic, Enabled only when Cloud Provider is AWS and auto refresh is true.Required only when configuring AUTO_REFRESH for Amazon S3 stages using Amazon Simple Notification Service (SNS). * GCP - Integration. Enabled when Cloud Provider is GCP/Azure. Specifies the existing notification integration used to access the storage queue * Azure - Integration. Enabled when Cloud Provider is GCP/Azure. Specifies the existing notification integration used to access the storage queue

System Columns

The set of columns which has source data and file metadata information.

• VALUE - The data from the file is loaded into this variant column
• FILENAME - Name of the staged data file the current row belongs to. Includes the full path to the data file.
• PARTITION_COLUMN - A column with default transformation split_part(metadata$filename,'/',2) is added to partition external table.

Key points to use External table node

• External table node can be created by just clicking on Create node from browser if we want the data from the file to be loaded into single variant column in target table.
• External node can be added on top of an inferred table(table created by running the inferschema node) if you want to load data into specific columns as defined in the files.Refer to Inferschema to know more on how to use the node and add External node on top of it.
• A column with default transformation split_part(metadata$filename,'/',2) is added to partition external table.The user can rename the column and modify the transformation as per their requirement.Also,we can use any other column with appropriate transformation for partitioning external table

Use External table with InferSchema option

• Set Infer Schema toggle to true
• Hit Create button to Infer Schema
• Click on Re-Sync Columns button
• If all looks good, set Infer Schema button to false
• Hit Create button to execute create table based on inferred schema and pipe to ingest data

If the above works, it should be deployable as is. Deploy will simply take the columns and execute a create table and snowpipe

External table Deployment

Initial Deployment

When deployed for the first time into an environment the External table node will execute the below stage:

• Create External Table - This will execute a CREATE OR REPLACE statement and create a table in the target environment.

Redeployment

Recreating the External table

The subsequent deployment of External table with changes in config options will recreate the table.

The following stages are executed:

• Create External Table

Redeployment with no changes

If the nodes are redeployed with no changes compared to previous deployment,then no stages are executed

Undeployment

If the External table node is deleted from a Workspace, that Workspace is committed to Git and that commit deployed to a higher-level environment then the target table in the target environment will be dropped.

• Drop External Table

InferSchema

The Coalesce InferSchema UDN is a versatile node infers schema of the file in internal or external stage and dynamically creates the target table of the same name as inferschema node.

InferSchema in Snowflake automatically detects the file metadata schema in a set of staged data files that contain semi-structured data and retrieves the column definitions.

Key points InferSchema

• A sample file in the internal or external stage.
• An existing fileformat to parse the file
• The file format is also expected to be in the same location as stage
• The mapping grid after creating the inferred node can be Re-Synced with the exact structure of the table/transient table using the Re-Sync Columns button in the mapping grid

InferSchema Node Configuration

The InferSchema node type has two configuration groups:

• InferSchema Node Properties
• InferSchema Source Data
• InferSchema File format Options

Go to the node and select the Config tab to see the Node Properties, Dynamic Table Options and General Options.

InferSchema Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

InferSchema Source Data

Settings	Description
Create As	Select from the options to create as Table or Transient Table * Transient Table * Table
Coalesce Storage Location of Stage(Required)	A storage location in Coalesce where the stage is located
Stage Name (Required)	Internal or External stage where the files containing data to be loaded are staged
File Names (Required)	Use commas to seperate multiple files. File whose metatdata is to be inferred
Coalesce Storage Location of File Format	Location in Coalesce pointing to the database and schema,the file format resides
File Format Name (Required)	Name of the file format object that describes the data contained in the staged files.It is expected in the same location as Stage
Redeployment Behavior	CREATE OR REPLACE: Dynamically creates target table based on the inferred schema from file in staging area ALTER EXISTING TABLE: Dynamically alters inferred table by comparing the inferred schema of the same file (with changes if any)and created table DROP EXISTING TABLE: Drops the table inferred

InferSchema File Format Options

File format config-Inferschema

• It is not mandatory to create a file format in snowflake to infer the structure of the file
• If the file format definition is set to 'File format values',a temporary file format is created based on the config values and dropped on successfully inferring the structure of the table
• If the file format definition is set to 'File format name' and is of file type csv,a temporary file format is created to adapt the same to infer the structure and dropped on successfully inferring the structure of the table
• If the file format definition is set to 'File format name' and the file types except csv,the same file format is used for inferring.No temporary file formts are created.
• The temporary file format created follows the naing convention ==>TEMP_{{file_type}}_{{node name}}.Ensure that any predefined file formats created in snowflake does not have the same file format name.

File Format Definition - File Format Name

Settings	Description
Coalesce Storage Location of File Format	Location in Coalesce pointing to the database and schema,the file format resides.Mandatory when File Format Name is chosen
File Format Name	Specifies an existing named file format to use for loading data into the table
File Type	* CSV * JSON * ORC * AVRO * PARQUET

File Format Definition - File Format Values

Settings	Description
File Format Values	-Provides file format options for the File Type chosen
File Type	Each file type has different configurations available
CSV	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Record delimiter-Characters that separate records in an input file Field delimiter- One or more singlebyte or multibyte characters that separate fields in an input file Field optionally enclosed by- Character used to enclose strings Parse Header-Boolean that specifies whether to use the first row headers in the data files to determine column names Encoding- Specifies the character set of the source data when loading data into a table Refer this link for extended csv format options
JSON	Compression- String (constant) that specifies the current compression algorithm for the data files to be loaded Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Trim Space - Boolean that specifies whether to remove white space from fields Strip Outer Array- Boolean that instructs the JSON parser to remove outer brackets [ ].
ORC	Trim Space - Specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character
AVRO	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character.
PARQUET	Trim Space - Boolean that specifies whether to remove white space from fields Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character.
XML	Replace invalid characters - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character

InferSchema Extended CSV File Format Options

Setting

Description

CSV

Skip blank lines- Boolean that specifies to skip any blank lines encountered in the data files Trim Space- Boolean that specifies whether to remove white space from fields Replace invalid characters- Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character. Nulls for empty field- When loading data, specifies whether to insert SQL NULL for empty fields in an input file Skip byte order mark-Boolean that specifies whether to skip the BOM (byte order mark), if present in a data file. Parsing error for column mismatch-Boolean that specifies whether to generate a parsing error if the number of delimited columns (i.e. fields) in an input file does not match the number of columns in the corresponding table. Multiple lines-Boolean that specifies whether multiple lines are allowed.If MULTI_LINE is set to FALSE and the specified record delimiter is present within a CSV field, the record containing the field will be interpreted as an error. Binary format-Defines the encoding format for binary input or output. Replace values with NULL-o specify more than one string, enclose the list of strings in parentheses and use commas to separate each value. Escape optionally enclosed by-A singlebyte character string used as the escape character for unenclosed field values only Escape enclosed/unenclosed values-A singlebyte character string used as the escape character for enclosed or unenclosed field values.

InferSchema Usage

Option1-Using API-NODEUPDATE

• Add a InferSchema node, for example INFER_JSON and hit create.'Infer and Create table' stage runs and creates a table with the same name as InferSchema node.
• Use API-NODEUPDATE node to update the columns of the infer node created in the above step.
• Now we can add a Copy-Into,Snowpipe or External table node on top of the inferred table to load staged files.
• Once we get the required metadata columns in our downstream node(Copy-Into,Snowpipe or External table),bulk edit the source in the node to be blank.Also delete the from clause in the Join tab.These information are not required for Copy-Into,Snowpipe or External table to load data from files.
• Delete the API-NODEUPDATE node ,we created in step2 as we have updated the columns required for the downstream nodes and the data for the same are derived from files.
• Eventually API-NODEUPDATE nodes are not required to be deployed.It is sufficient to deploy the Copy-into,Snowpipe or External table nodes which holds the data from staged files

Option2-Using Re-Sync Columns button

• Add a InferSchema node, for example INFER_JSON and hit create.'Infer and Create table' stage runs and creates a table with the same name as InferSchema node.

• Use Re-Sync Columns button in the mapping grid to update the columns of the infer node created in the above step.

• Now we can add a Copy-Into,Snowpipe or External table node on top of the inferred table to load staged files.

  

InferSchema Deployment

InferSchema Initial Deployment

When deployed for the first time into an environment the InferSchema node will execute the stage:

• Stage executed: Infer and Create target table

InferSchema Redeployment

Redeployment Behavior: Create or Replace

Redeployment Behavior	Stage Executed
Create or Replace	Infer and Create target table

If any of the Source Data options like Stage storage location, Stage name or filename are modified. Then you can redeploy the Infer Schema node with redeployment behaviour “Create or Replace”.

📘 Info

You can go back to the browser and Re-sync columns of Inferred table, re-execute Copy-Into and redeploy

Redeployment Behavior: Alter Existing Table

Redeployment Behavior	Stage Executed
Alter existing table	Infer and Alter target table

If all Source Data options remain same and only there are changes in the existing file structure, you can redeploy the Infer Schema node with redeployment behaviour “Alter existing table”.

Redeployment Behavior: Drop Existing Table

Redeployment Behavior	Stage Executed
Drop existing table	Drop inferred table

If you want to drop the inferred table you can redeploy the Infer Schema node with redeployment behaviour “Drop existing table”.

Redeployment with no changes

If the nodes are redeployed with no changes compared to previous deployment,then no stages are executed

InferSchema Undeployment

If the InferSchema node is deleted from a Workspace, that Workspace is committed to Git and that commit deployed to a higher-level environment then no action takes place.

CopyUnload

The Coalesce Copy Unload node unloads the table into internal stage or external stage location in various file formats supported by Snowflake

A Copy Unload node loads data from a table (or query) into one or more files in the internal or external location mentioned

Copy Unload Node Configuration

The Copy Unload node type has four configuration groups:

• Node Properties
• File Location
• File Format
• Copy Options

Copy Unload Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

Copy Unload Node File Location

Setting	Description
Coalesce Stage Storage Location of Stage(Required)	A storage location in Coalesce where the stage is located
Stage (Required)	Location in Snowflake(internal stage) or external stage or external location where the data files are unloaded
Partition by (Optional)	Unload operation splits the table rows based on the partition expression and determines the number of files to create based on the number of unique values in a particular column (only sinlge column name expected)
Allow Expressions in partition by clause	A regular expression pattern string, enclosed in single quotes, for example: ('date='

Copy Unload File Format

File Format Definition - File Format Name

Setting	Description
Coalesce Storage Location of File Format	File format location in snowflake that is mapped as storage location in Coalesce
File Format Name	Specifies an existing named file format in Snowflake to use for unloading data into the table
File Type	* CSV * JSON * PARQUET

File Format Definition - File Format Values

Setting	Description
File Format Values	-Provides different file format options for the File Type chosen to unload
File Type	Each file type has different configurations available
CSV	Compression: String (constant) that specifies the current compression algorithm for the data files to be unloaded Record delimiter: Characters that separate records in an unloaded file Field delimiter: One or more singlebyte or multibyte characters that separate fields in an unloaded file Field optionally enclosed by: Character used to enclose strings. (Default is \042) File Extension: String that specifies the extension for files unloaded to a stage. Accepts any extension Date Format: String that defines the format of date values in the unloaded data files.(Default is AUTO) Time Format: String that defines the format of time values in the unloaded data files.(Default is AUTO) Timestamp Format: String that defines the format of timestamp values in the unloaded data files.(Default is AUTO)
JSON	Compression: String (constant) that specifies the current compression algorithm for the data files to be unloaded File extension - Boolean that specifies whether to replace invalid UTF-8 characters with the Unicode replacement character
PARQUET	Compression: String (constant) that specifies the current compression algorithm for the data files to be unloaded

Copy Unload Copy Options

Setting	Description
Overwrite Flag	Toogle overwrites existing files with matching names, if any, in the location where files are unloaded
Header	Toggle to be enabled if the file created requires a header
Single File Flag	Toggle generates a single file when true, else generates multiple files if partition by enabled
Max File Size (MB)	Number (> 0) that specifies the upper size limit (in bytes) of each file to be generated in parallel per thread. Note that the actual file size and number of files unloaded are determined by the total amount of data and number of nodes available for parallel processing
Include Query ID	When true provides unique identifier for unloaded files by including a universally unique identifier (UUID) in the filenames of unloaded data files
Detailed Output	When true includes a row for each file unloaded to the specified stage. Columns show the path and name for each file, its size, and the number of rows that were unloaded to the file

Copy Unload Deployment

Deployment not applicable for this node

API

The Coalesce API Node loads external data which is external to snowflake with the help of EXTERNAL ACCESS INTEGRATION Name which has a network rule which allows access to external network locations using procedure handler

API Node Configuration

The API Node Configuration type has two configuration groups:

• Node Properties
• Options

API Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

API Node Options

Setting	Description
Snowflake EXTERNAL ACCESS INTEGRATION Name (Required)	EXTERNAL ACCESS INTEGRATION Name has a network rule which allows access to external network locations external to snowflake using procedure
Method(Required)	HTTP Request methods Get,Put,Post Get: API Call to retrieve data Put: API Call to update existing data Post: API Call to create new data
URI(Required)	Uniform Resoure Identifier to be provided to locate and interact with resources within a specific API
Headers	headers are used to provide additional context and information about the request
Payload	when making HTTP requests to a URI, the request may include a payload (also known as a body)
Note:	Payload applicable only to Put & Post API method calls

API-NODEUPDATE

API-NODEUPDATE Node Configuration

The API-NODEUPDATE Node Configuration type has two configuration groups:

• Node Properties
• Options

API-NODEUPDATE Node Properties

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

API-NODEUPDATE Node Options

Setting	Description
Snowflake EXTERNAL ACCESS INTEGRATION Name (Required)	EXTERNAL ACCESS INTEGRATION Name has a network rule which allows access to external network locations external to snowflake using procedure
Snowlake secret for Coalesce API token (Required)	SNOWFLAKE SECRET to allow access to Coalesce API
Workspace-Node details	Information on the list of nodes for which columns need to be updated Workspace ID: This is the id of workspace where node belongs Node name: Name of the node whose columns needs to be updated Storage Location (E.g DBName.SchemaName):: Enter storage location of the table, with database name and schema

JDBC LOAD

The Coalesce JDBC Load Node allows to connect, interact, and retrieve data from various database management systems into Snowflake

JDBC Load Node Configuration

The JDBC Load Node Configuration type has two configuration groups:

• Node Properties
• Options

JDBC Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

JDBC Load Options

Name	Description
JDBC Driver(Required)	Required to establish the connection to external database
JAR file external stage location(Required)	Location of the external stage where JAR file is located
JAR file name(Required)	Name of JAR file located in external stage
EXTERNAL ACCESS INTEGRATION(Required)	EXTERNAL ACCESS INTEGRATION Name has a network rule which allows access to external network locations external to snowflake using procedure
External database credentials	Username, Password of the external Database in the form snowflake secret object
JDBC URL(Required)	URL of the database with port number (ex: "sqlserver-tests.database.windows.net:1433" )
SQL(Required)	SQL query to retrieve the required data
Truncate Before	When enabled,the table is truncated before data load

Parse Excel

The Coalesce Parse Excel node parses an large excel file in stage location to json format on the target location

Parse Excel Node Configuration

The Parse Excel node type has three configuration groups:

• Node Properties
• Stored Procedure Options
• Excel File Processing Options

Parse Excel Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

Parse Excel Stored Procedure Options

Setting	Description
Stored Procedure Storage Location(Required)	Location in Snowflake to be provided where Stored Procedure will be loaded by script
Note	Stored Procedure location and Storage Location (i.e. destination) must be in same Schema

Excel File Processing Options

Setting	Description
Source File Storage Location(REQUIRED)	Storage location name in Coalesce which points to the database and schema where stage is located (source file has to be located under stages)
Source File Stage(REQUIRED)	Stage name in Snowflake where source file is located
Source File Name(REQUIRED)	Excel filename to be parsed

Initial Deployment

When deployed for the first time into an environment the Parse Excel node will execute the below stage:

• Create OR Replace Table - This will execute a CREATE OR REPLACE statement and create a table in the target environment.
• Create OR Replace Stored Procedure - This will create a Stored Procedure in the target environment

Redeployment

Recreating the Parse Excel

There are few column or table changes like Change in table name, Dropping existing column, Alter Column data type, Adding a new column if made in isolation or all-together will result in an ALTER statement to modify the target Table in the target environment.Any table level changes or node config changes results in recreation of Stored Procedure

The following stages are executed:

• Rename Table| Alter Column | Delete Column | Add Column| Edit table description - Alter table statement is executed to perform the alter operation.
• Create OR Replace Stored Procedure - This will create a Stored Procedure in the specified target environment

Redeployment with no changes

If the nodes are redeployed with no changes compared to previous deployment,then no stages are executed

Undeployment

If the Parse Excel node is deleted from a Workspace, that Workspace is committed to Git and that commit deployed to a higher-level environment then the target table in the target environment will be dropped.

• Drop Table
• Drop Procedure

Parse Json

The Coalesce parses large json file containing json array to the provided target location

Parse Json Node Configuration

The Parse Excel node type has three configuration groups:

• Node Properties
• UDTF Procedure Options
• JSON File Processing Options

Parse json Node Properties

There are four configs within the Node Properties group.

Property	Description
Storage Location	Storage Location where the Materialized View will be created
Node Type	Name of template used to create node objects
Description	A description of the node's purpose
Deploy Enabled	If TRUE the node will be deployed / redeployed when changes are detected If FALSE the node will not be deployed or will be dropped during redeployment

Parse JSON UDTF Procedure Options

Setting	Description
User Defined Table Function Location (Required)	Location in Snowflake to be provided where UDTF will be loaded by script
Note	UDTF location and Storage Location (i.e. destination) must be in same Schema

Parse JSON JSON File Processing Options

Setting	Description
Source File Storage Location(REQUIRED)	Schema name in Snowflake where source file is located (source file has to be located under stages)
Source File Stage(REQUIRED)	Stage name in Snowflake where source file is located
Source File Name(REQUIRED)	Json filename to be parsed
JSON Array Name(REQUIRED)	Array name of the json

Initial Deployment

When deployed for the first time into an environment the Parse Json node will execute the below stage:

• Create OR Replace Table - This will execute a CREATE OR REPLACE statement and create a table in the target environment.
• Create OR Replace Function - This will create a UDTF function in the target environment

Redeployment

Recreating the Parse Json

There are few column or table changes like Change in table name, Dropping existing column, Alter Column data type, Adding a new column if made in isolation or all-together will result in an ALTER statement to modify the target Table in the target environment.Any table level changes or node config changes results in recreation of Stored Procedure

The following stages are executed:

• Rename Table| Alter Column | Delete Column | Add Column| Edit table description - Alter table statement is executed to perform the alter operation.
• Create OR Replace Stored Procedure - This will create a Stored Procedure in the specified target environment

Redeployment with no changes

If the nodes are redeployed with no changes compared to previous deployment,then no stages are executed

Undeployment

If the Parse Json node is deleted from a Workspace, that Workspace is committed to Git and that commit deployed to a higher-level environment then the target table in the target environment will be dropped.

• Drop Table
• Drop Procedure

Code

InferSchema

• Node definition
• Create Template
• Run Template

CopyInto

• Node definition
• Create Template
• Run Template

Snowpipe

• Node definition
• Create Template
• Run Template

External Tables

• Node definition
• Create Template
• Run Template

Copy Unload

• Node definition
• Create Template
• Run Template

API

• Node definition
• Create Template
• Run Template

JDBC

• Node definition
• Create Template
• Run Template

Parse Excel

• Node definition
• Create Template
• Run Template

Parse Json

• Node definition

• Create Template

• Run Template

Macros

• Macros/Node configs

Versions

Available versions of the package.

Version #	Release Date	Notes
2.0.3	November 06, 2025	Conditional STORAGE_INTEGRATION changes added in Copy Into Node Type
2.0.2	September 02, 2025	External table-partition by
2.0.1	August 19, 2025	Snowpipe enhancement and blank option addition to config
2.0.0	July 18, 2025	Removing deploy phase,external table enhancement,Copy Unload metadata table creation
1.3.0	May 28, 2025	Extended CSV file format options added with logic change for infer in node types
1.2.6	May 13, 2025	FIle format definition during Infer
1.2.5	May 06, 2025	File format for Infer in Copy-Into and Snowpipe
1.2.4	April 22, 2025	Snowpipe deployment fixes
1.2.2	March 13, 2025	Changes made to Copy-Into and Snowpipe node types to force Users to Enter Parameters When Required
1.2.1	February 26, 2025	Deployment fixes for all node types of the package
1.2.0	January 09, 2025	Path config added under Source data and new config added for PARQUET file format
1.1.8	December 13, 2024	Inferschema,Re-Sync columns enabled and Partition by clause added to external table
1.1.7	December 06, 2024	Re-Sync Columns config enabled and InferSchema function added to Copy-Into,Snowpipe
1.1.6	November 26, 2024	API Node Type Added to update mapping grid after creating External Iceberg Tables or using Infer Schema