In this article

1 Overview
- 1.1 Snap Type
- 1.2 Prerequisites
- 1.3 Support for Ultra Pipelines
- 1.4 Limitations
- 1.5 Known Issues
- 1.6 Supported Versions
2 Snap Views
3 Snap Settings
- 3.1 Usage of runCommand()
4 Example

Overview

You can use this Snap to execute all Data Manipulation Language (DML) and Data Definition Language (DDL) commands on the MongoDB database.

Snap Type

The MongoDB - Execute Snap is a Write type Snap.

Prerequisites

None.

Support for Ultra Pipelines

Works in Ultra Pipelines.

Limitations

MongoDB driver has limited support for inline or multiline comments in a command.
This Snap supports only specific date-type formats because it uses a Mongo template that supports only JSON format. A few of the supported date-type formats are:
- { "$date": "2020-09-01T00:00:00Z" }
- ISODate("2020-01-15T00:00:00Z")

Known Issues

None.

Supported Versions

The Mongo-DB Execute Snap is tested against v4.2.24.

Snap Views

Type	Format	Number of Views	Examples of Upstream and Downstream Snaps	Description

Type

Format

Number of Views

Examples of Upstream and Downstream Snaps

Description

Input

Document

Min: 0
Max: 1

Mapper
JSON Generator
JSON Formatter

Requires the command to be executed on the specified database.

Output

Document

Min: 0
Max: 1

Mapper
Copy
File Writer

The original document that was used to create the statement will be output with the status of the statement executed.

Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the Pipeline by choosing one of the following options from the When errors occur list under the Views tab:

Stop Pipeline Execution: Stops the current Pipeline execution if the Snap encounters an error.
Discard Error Data and Continue: Ignores the error, discards that record, and continues with the remaining records.
Route Error Data to Error View: Routes the error data to an error view without stopping the Snap execution.

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 fieldset.
Remove icon ( ): Indicates that you can remove fields from the fieldset.
Upload icon ( ): Indicates that you can upload files.

Field Name	Field Type	Description

Field Name	Field Type	Description
Label* Default Value: MongoDB - Execute Example: Execute Lookup for Customers	String	Enter a unique name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your pipeline.
Database name Default Value: N/A Example: mydatabase	String/Suggestion	Specify the database name where the query is executed. If you do not specify a database name, the database configured in the MongoDB Account is used for Snap processing. If you provide a database name that is not available in the dropdown list, Mongo automatically creates a new database.
Command* Default Value: N/A Example: { `find: "collectionName"}`	String/Expression	Specify the MongoDB command to execute on the MongoDB instance using the `runCommand()` operation. Learn more. `runCommand()` method enables you to execute MongoDB commands that may not be readily available through the standard MongoDB query language, such as CRUD operations. The syntax of the `runCommand()` method in MongoDB is as follows: `db.runCommand( { <command>: <value> } )` `<command>`: The command or operation you want to execute. `<value>`: Optional. Additional parameters or options specific to the command being executed.
Number of retries Default Value: 0 Example: 4	Integer	Specify the number of retry attempts to make when the Snap fails to make a connection.
Retry interval (seconds) Default Value: 1 Example: 5	Integer	Specify the time interval between two retry requests.
Snap Execution Default Value: Execute only Example: Validate & Execute	Dropdown list	Select one of the following three modes in which the Snap executes: Validate & Execute: Performs limited execution of the Snap, and generates a data preview during Pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during Pipeline runtime. Execute only: Performs full execution of the Snap during Pipeline execution without generating preview data. Disabled: Disables the Snap and all Snaps that are downstream from it.

Usage of runCommand()

You can use the runCommand() to perform the following:

Administrative tasks: You can check Server status, do database profiling, replication-related operations, user management, and more.
Access internal commands: You can access and execute the internal commands.
Diagnostic Commands: You can execute diagnostic commands to gather information about the database, collections, indexes, or server status.

Examples:

Checking server status
db.runCommand({ serverStatus: 1 })
Listing databases:
db.runCommand({ listDatabases: 1 })
Checking the current operation in progress
db.runCommand({ currentOp: 1 })
Document insertion into a collection
db.runCommand( {
insert: "Test1",
documents: [ { _id: 7, title: "Mary test", body: "Execute snap for MongoDB snappack" } ]
} )
Document updation into a collection
db.runCommand({ update: "Test1", updates: [ { q: { title: "abc123" }, u: { $set: { body: "Toy Story" }, $inc: { points: 1 } } } ], ordered: false, writeConcern: { w: "majority", wtimeout: 5000 } })
Document deletion from collection
db.runCommand({ delete: "Test1", deletes: [ { q: { title: "Mary test" }, limit: 1 } ], ordered: false, writeConcern: { w: "majority", wtimeout: 5000 } })
Creating indexes for a collection
db.runCommand( { createIndexes: "collectionName", indexes: [ { key: { field1: 1, field2: -1 }, name: "indexName", unique: true }, { ... }, { ... } ], writeConcern: { w: "majority" }, commitQuorum: 1, comment: "Optional comment" } )

Example

This example demonstrates how to use the common (Create, Insert, and Find) commands in MongoDB.

Download this pipeline.

Configure the pipeline with three MongoDB Execute Snaps to perform the create, insert, and find operations. Each Snap in this pipeline performs the following operations:

Create employee details collection (collection indicates a table in MongoDB)
Insert the employee data into the collection
Retrieve the employee data

Create: Configure the Execute Snap with the create command to create a collection named employees_data with id, name, and salary fields.

Insert: Configure the Execute Snap with the insert command to insert three records of employees (id:1, id:2, id:3) with their salary details.

Find: Configure the Execute Snap with the findcommand to retrieve the employee details.

On validation, you can view the inserted records of the employees in the employee_data collection.

	File	Modified
Labels No labels Preview View	File Example-MongoDB-Execute-Create-Insert-Find.slp	30 minutes ago by Kalpana Malladi