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Get the Report →Perform Batch Operations with Odoo Data in Apache NiFi
Connect to Odoo data and perform batch operations in Apache NiFi using the CData JDBC Driver.
Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. When paired with the CData JDBC Driver for Odoo, NiFi can work with live Odoo data. This article shows how to read data from a CSV file and perform batch operations (INSERT/UPDATE/DELETE) using the CData JDBC Driver for Odoo data in Apache NiFi (version 1.9.0 or later).
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Odoo data. When you issue complex SQL queries to Odoo, the driver pushes supported SQL operations, like filters and aggregations, directly to Odoo and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Odoo data using native data types.
About Odoo Data Integration
Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:
- Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
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Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
- Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
- Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
- One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
- Use SQL stored procedures to call server-side RFCs within Odoo.
Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.
Getting Started
Generate a JDBC URL
We need a JDBC URL to connect to Odoo data from Apachi NiFi.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Odoo JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.odoo.jar
Fill in the connection properties and copy the connection string to the clipboard.
To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.

Batch Operations (INSERT/UPDATE/DELETE) in Apache NiFi
The sample flow presented below is based on the following NiFi Processors:
- ListFile - Retrieves a listing of files from the local filesystem and creates a FlowFile for each retrieved file.
- FetchFile - Reads the content of the FlowFile received from the ListFile processor.
- PutDatabaseRecord - Uses a specified RecordReader to input records from a flow file coming from the FetchFile processor. These records are translated to SQL statements and executed as a single transaction.
- LogAttribute - Emits attributes of the FlowFile at the specified log level.
This is what our finished product looks like:

Disclaimers
1. The column names of the CSV file must match the column names of the data source table records to be inserted/updated/deleted.
2. Apache NiFi versions earlier than 1.9.0 do not support the Maximum Batch Size property in the PutDatabaseRecord processor.
Configurations
In order to perform batch INSERT, UPDATE or DELETE, the NiFi Processors should be configured similar to the following:
- Configure the ListFile processor: Set the Input Directory property to the local folder path from where to pull the CSV files. Set the File Filter property to a regular expression to pick up only the files whose names match the expression. i.e., if the CSV file's full path is C:\Users\Public\Documents\InsertNiFi.csv, the properties should be configured like in the following image:
- Configure the FetchFile processor Leave the FetchFile processor's property configurations to their default values:
- Configure the PutDatabaseRecord processor
- Set the Record Reader property to a CSV Reader Controller Service. Configure the CSV Reader Controller Service to match the format of your CSV file.
- Set the Statement Type property to INSERT.
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Set the Database Connection Pooling Service to the DBCPConnection Pool that
holds the driver configuration. Please note that the driver should be configured
to use Bulk API.
Property Value Database Connection URL jdbc:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase; Database Driver Class Name cdata.jdbc.odoo.OdooDriver - Set the Catalog Name property to the name of the catalog that your table is part of.
- Set the Schema Name property to the name of the schema that your table is part of.
- Set the Table Name property to the name of the table that you want to INSERT into.
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Set the Maximum Batch Size property to the maximum number of records that you want to be included in a single batch.
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Set the Record Reader property to a CSV Reader Controller Service. Configure the CSV Reader Controller Service to match the format of your CSV file.
- Set the Statement Type property to UPDATE.
- Set the Database Connection Pooling Service to the DBCPConnection Pool that holds the driver configuration. Please note that the driver should be configured to use Bulk API. Use the same Database Connection URL format as seen above.
- Set the Catalog Name property to the name of the catalog that your table is part of.
- Set the Schema Name property to the name of the schema that your table is part of.
- Set the Table Name property to the name of the table that you want to UPDATE.
- Set the Update Keys property to the name of the columns that are required for an UPDATE.
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Set the Maximum Batch Size property to the maximum number of records that you want to be included in a single batch.
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Set the Record Reader property to a CSV Reader Controller Service. Configure the CSV Reader Controller Service to match the format of your CSV file.
- Set the Statement Type property to DELETE.
- Set the Database Connection Pooling Service to the DBCPConnection Pool that holds the driver configuration. Please note that the driver should be configured to use Bulk API. Use the same Database Connection URL format as seen above.
- Set the Catalog Name property to the name of the catalog that your table is part of.
- Set the Schema Name property to the name of the schema that your table is part of.
- Set the Table Name property to the name of the table that you want to UPDATE.
- In comparison to INSERT and UPDATE statement types, the DELETE operation does not expose a Maximum Batch Size property. However, the operations are still processed in batches. If not changed, the maximum number of records per batch is 2000, adhering to the default value. In order to change the value of the Maximum Batch Size used for DELETE operations, change the statement type to INSERT or UPDATE, then change the value of the Maximum Batch Size property, and click Apply Changes. Finally, reopen the processor's configuration, change the Statement Type back to DELETE, and click Apply Changes.
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Configure the LogAttribute processor
Finally, configure the LogAttribute processor by specifying the Attributes that you would like to log or ignore, as well as the log level, based on your use case.


INSERT operation
Configure the PutDatabaseRecord processor similar to the following in order to perform Batch INSERT Operations:


UPDATE Operation
Configure the PutDatabaseRecord processor similar to the following in order to perform Batch UPDATE Operations:
DELETE Operation
Configure the PutDatabaseRecord processor similar to the following in order to perform Batch DELETE Operations:

Free Trial & More Information
Download a free, 30-day trial of the CData JDBC Driver for Odoo and start working with your live Odoo data in Apache NiFi. Reach out to our Support Team if you have any questions.