The PyMongo writer component is designed to write the data in the Mongo collection. It is a docker based component.
All component configurations are classified broadly into the following sections:
Meta Information
Please follow the demonstration to configure the component.
The PyMongo Writer writes the data to the Mongo Database.
Drag & drop the PyMongo Writer component to the Pipeline Workflow Editor.
Click the dragged PyMongo Writer component to open the component properties tabs below.
It is the default tab to open for the PyMongo Writer while configuring the component.
Select an Invocation type from the drop-down menu to confirm the running mode of the reader component. Select ‘Real-Time’ or ‘Batch’ from the drop-down menu.
Deployment Type: It displays the deployment type for the component. This field comes preselected.
Container Image Version: It displays the image version for the docker container. This field comes pre-selected.
Failover Event: Select a failover Event from the drop-down menu.
Batch Size: Provide the maximum number of records to be processed in one execution cycle.
Open the Meta Information tab and configure all the connection-specific details for the PyMongo Writer.
Connection Type: Select either of the options out of ‘Standard’, ‘SRV’, and ‘Connection String’ connection types.
Port number(*): Provide the Port number (It appears only with the ‘Standard’ connection type).
Host IP Address(*): IP address of the host.
Username(*): Provide username.
Password(*): Provide a valid password to access the MongoDB.
Database Name(*): Provide the name of the database where you wish to write data.
Collection Name (*): Provide the name of the collection.
Save Mode: Select an option from the drop-down menu (the supported options are Upsert and Append).
Enable SSL: Check-in this box to enable SSL feature for PyMongo writer.
Please Note: Credentials will be different if this option is enabled.
Composite Keys (*): This field appears only when the selected save mode is ‘Upsert’. The user can enter multiple composite keys separated by commas on which the 'Upsert' operation has to be done.
Additional Parameters: Provide details of the additional parameters.
Connection String (*): Provide a connection string.
The Meta Information fields vary based on the selected Connection Type option.
The users can select some specific columns to change the column name or data type while writing it to the collection. Users have to type the name of the column in the name field that has to be modified. If you went to change the name of the column, then put the name of your choice in the alias name section otherwise keep it the same as of column name. Then select the Column Type from the drop-down menu into which you want to change the datatype of that particular column. Once this is done, while writing the selected column data type and column name will be converted to your given choice.
or
Use the Download Data and Upload File options to select the desired columns.
Upload File: The user can upload the existing system files (CSV, JSON) using the Upload File icon (file size must be less than 2 MB).
Download Data (Schema): Users can download the schema structure in JSON format by using the Download Data icon.
Click the Save Component in Storage icon for the PyMongo Writer component.
A message appears to notify the successful update of the component.
Click on the Activate Pipeline icon.
The pipeline will be activated and the PyMongo writer component will write the in-event data to the given MongoDB collection.
