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Rapidly create and deploy powerful Java applications that integrate with delimited flat-file (CSV/TSV) data.

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Load CSV Data to a Database Using Embulk


Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load CSV data to a database.

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for CSV, Embulk easily loads data from CSV to any supported destination. In this article, we explain how to use the CData JDBC Driver for CSV in Embulk to load CSV data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live CSV data. When you issue complex SQL queries to CSV, the driver pushes supported SQL operations, like filters and aggregations, directly to CSV and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to CSV Data

Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for CSV\lib).

Embulk supports JDBC connectivity, so you can easily connect to CSV and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with CSV.

The DataSource property must be set to a valid local folder name.

Also, specify the IncludeFiles property to work with text files having extensions that differ from .csv, .tab, or .txt. Specify multiple file extensions in a comma-separated list. You can also set Extended Properties compatible with the Microsoft Jet OLE DB 4.0 driver. Alternatively, you can provide the format of text files in a Schema.ini file.

Set UseRowNumbers to true if you are deleting or updating in CSV. This will create a new column with the name RowNumber which will be used as key for that table.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the CSV JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.csv.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a typical JDBC connection string for CSV:

jdbc:csv:DataSource=MyCSVFilesFolder;

Load CSV Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

  1. Install the JDBC Input Plugin in Embulk.
    https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc
    2. embulk gem install embulk-input-jdbc
  2. In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
    https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql embulk gem install embulk-output-mysql

With the input and output plugins installed, we are ready to load CSV data into MySQL using Embulk.

Create a Job to Load CSV Data

Start by creating a config file in Embulk, using a name like csv-mysql.yml.

  1. For the input plugin options, use the CData JDBC Driver for CSV, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.csv.CSVDriver), and the JDBC URL from above
  2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (csv-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.csv.jar driver_class: cdata.jdbc.csv.CSVDriver url: jdbc:csv:DataSource=MyCSVFilesFolder; table: "Customer" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Customer" mode: insert

After creating the file, run the Embulk job.

embulk run csv-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered CSV Data

In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.csv.jar driver_class: cdata.jdbc.csv.CSVDriver url: jdbc:csv:DataSource=MyCSVFilesFolder; query: "SELECT City, TotalDue FROM Customer WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Customer" mode: insert

More Information & Free Trial

By using CData JDBC Driver for CSV as a connector, Embulk can integrate CSV data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.