Load CSV Data to a Database Using Embulk

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.

Connecting to Local or Cloud-Stored (Box, Google Drive, Amazon S3, SharePoint) CSV Files

CData Drivers let you work with CSV files stored locally and stored in cloud storage services like Box, Amazon S3, Google Drive, or SharePoint, right where they are.

Setting connection properties for local files

Set the URI property to local folder path.

Setting connection properties for files stored in Amazon S3

To connect to CSV file(s) within Amazon S3, set the URI property to the URI of the Bucket and Folder where the intended CSV files exist. In addition, at least set these properties:

• AWSAccessKey: AWS Access Key (username)
• AWSSecretKey: AWS Secret Key

Setting connection properties for files stored in Box

To connect to CSV file(s) within Box, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Box.

Dropbox

To connect to CSV file(s) within Dropbox, set the URI proprerty to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect to Dropbox. Either User Account or Service Account can be used to authenticate.

SharePoint Online (SOAP)

To connect to CSV file(s) within SharePoint with SOAP Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. Set User, Password, and StorageBaseURL.

SharePoint Online REST

To connect to CSV file(s) within SharePoint with REST Schema, set the URI proprerty to the URI of the document library that includes the intended CSV file. StorageBaseURL is optional. If not set, the driver will use the root drive. OAuth is used to authenticate.

Google Drive

To connect to CSV file(s) within Google Drive, set the URI property to the URI of the folder that includes the intended CSV file(s). Use the OAuth authentication method to connect and set InitiateOAuth to GETANDREFRESH.

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.

👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

Below is a typical JDBC connection string for CSV:

jdbc:csv:URI=/PATH/TO/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

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:URI=/PATH/TO/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:URI=/PATH/TO/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.