JDBC Driver for CSV

Build 22.0.8462

Establishing a Connection

Creating a JDBC Data Source

You can create a JDBC data source to connect from your Java application. Creating a JDBC data source based on the CData JDBC Driver for CSV consists of three basic steps:

  • Add the driver JAR file to the classpath. The JAR file is located in the lib subfolder of the installation directory. Note that the .lic file must be located in the same folder as the JAR file.
  • Provide the driver class. For example: 
    cdata.jdbc.csv.CSVDriver
  • Provide the JDBC URL. For example: 
    jdbc:csv:GenerateSchemaFiles=OnStart;URI=https://MyAPI;Location=C:\\MySchemaFolder;

or

jdbc:cdata:csv:GenerateSchemaFiles=OnStart;URI=https://MyAPI;Location=C:\\MySchemaFolder;

    The second format above can be used whenever there is a conflict in your application between drivers using the same URL format to ensure you are using the CData driver. The URL must start with either "jdbc:csv:" or "jdbc:cdata:csv:" and can include any of the connection properties in name-value pairs separated with semicolons.

The CData JDBC Driver for CSV allows connecting to local and remote CSV resources. Set the URI property to the CSV resource location, in addition to any other properties necessary to connect to your data source.

Connecting to Local Files

Set the ConnectionType to Local. Local files support SELECT\INSERT\UPDATE\DELETE.

Set the URI to a folder containing CSV files: C:\folder1.

You can also connect to multiple CSV files which share the same schema. Below is an example connection string: 

URI=C:\folder; AggregateFiles=True;

If you would prefer to expose all of the individual CSV files as tables instead, leave this property False. 

URI=C:\folder; AggregateFiles=False;

Connecting to Cloud-Hosted CSV Files

While the driver is capable of pulling data from CSV files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

If you need INSERT/UPDATE/DELETE cloud files, you can download the corresponding CData driver for that cloud host (supported via stored procedures), make changes with the local file's corresponding driver, then upload the file using the cloud source's stored procedures.

As an example, if you wanted to update a file stored on SharePoint, you could use the CData SharePoint driver's DownloadDocument procedure to download the CSV file, update the local CSV file with the CData CSV driver, then use the SharePoint driver's UploadDocument procedure to upload the changed file to SharePoint.

A unique prefix at the beginning of the URI connection property is used to identify the cloud data store being targed by the driver and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table).

Amazon S3

Set the following to identify your CSV resources stored on Amazon S3:

  • ConnectionType: Set the ConnectionType to Amazon S3.
  • URI: Set this to the bucket and folder: s3://bucket1/folder1.

See Connecting to Amazon S3 for more information regarding how to connect and authenticate to CSV files hosted on Amazon S3.

Azure Blob Storage

Set the following to identify your CSV resources stored on Azure Blob Storage:

  • ConnectionType: Set this to Azure Blob Storage.
  • URI: Set this to the name of your container and the name of the blob. For example: azureblob://mycontainer/myblob.

See Connecting to Azure Blob Storage for more information regarding how to connect and authenticate to CSV files hosted on Amazon Blob Storage.

Azure Data Lake Storage

Set the following to identify your CSV resources stored on Azure Data Lake Storage:

  • ConnectionType: Set this to Azure Data Lake Storage Gen1, Azure Data Lake Storage Gen2, or Azure Data Lake Storage Gen2 SSL.
  • URI: Set this to the name of the file system and the name of the folder which contains your CSV files. For example:
    • Gen 1: adl://myfilesystem/folder1
    • Gen 2: abfs://myfilesystem/folder1
    • Gen 2 SSL: abfss://myfilesystem/folder1

See Connecting to Azure Data Lake Storage for more information regarding how to connect and authenticate to CSV files hosted on Azure Data Lake Storage.

Azure File Storage

Set the following properties to connect:

  • ConnectionType: Set this to Azure Files.
  • URI: Set this the name of your azure file share and the name of the resource. For example: azurefile://fileShare/remotePath.
  • AzureStorageAccount (Required): Set this to the account associated with the Azure file.

You can authenticate either an Azure access key or an Azure shared access signature. Set one of the following:

  • AzureAccessKey: Set this to the access key associated with the Azure file.
  • AzureSharedAccessSignature: Set this to the shared access signature associated with the Azure file.

Box

Set the following to identify your CSV resources stored on Box:

  • ConnectionType: Set this to Box.
  • URI: Set this the name of the file system and the name of the folder which contains your CSV files. For example: box://folder1.

See Connecting to Box for more information regarding how to connect and authenticate to CSV files hosted on Box.

Dropbox

Set the following to identify your CSV resources stored on Dropbox:

  • ConnectionType: Set this to Dropbox.
  • URI: Set this to the path to a folder containing CSV files. For example: dropbox://folder1.

See Connecting to Dropbox for more information regarding how to connect and authenticate to CSV files hosted on Dropbox.

FTP

The driver supports both plaintext and SSL/TLS connections to FTP servers.

Set the following connection properties to connect:

  • ConnectionType: Set this to either FTP or FTPS.
  • URI: Set this to the address of the server followed by the path to the folder to be used as the root folder. For example: ftp://localhost:990/folder1 or ftps://localhost:990/folder1.
  • User: Set this to your username on the FTP(S) server you want to connect to.
  • Password: Set this to your password on the FTP(S) server you want to connect to.

Google Cloud Storage

Set the following to identify your CSV resources stored on Google Cloud Storage:

  • ConnectionType: Set this to Google Cloud Storage.
  • URI: Set this to the path to the name of the file system and the name of the folder which contains your CSV files. For example: gs://bucket/remotePath.

See Connecting to Google Cloud Storage for more information regarding how to connect and authenticate to CSV files hosted on Google Cloud Storage.

Google Drive

Set the following to identify your CSV resources stored on Google Drive:

  • ConnectionType: Set this to Google Drive.
  • URI: Set to the path to the name of the file system and the name of the folder which contains your CSV files. For example: gdrive://folder1.

See Connecting to Google Drive for more information regarding how to connect and authenticate to CSV files hosted on Google Drive.

HDFS

Set the following to identify your CSV resources stored on HDFS:

  • ConnectionType: Set this to HDFS or HDFS Secure.
  • URI: Set this to the path to a folder containing CSV files. For example:
    • HDFS: webhdfs://host:port/remotePath
    • HDFS Secure: webhdfss://host:port/remotePath

There are two authentication methods available for connecting to HDFS data source, Anonymous Authentication and Negotiate (Kerberos) Authentication.

Anonymous Authentication

In some situations, you can connect to HDFS without any authentication connection properties. To do so, set the AuthScheme property to None (default).

Authenticate using Kerberos

When authentication credentials are required, you can use Kerberos for authentication. See Using Kerberos for details on how to authenticate with Kerberos.

HTTP Streams

Set the following to identify your CSV resources stored on HTTP streams:

  • ConnectionType: Set this to HTTP or HTTPS.
  • URI: Set this to the URI of your HTTP(S) stream. For example:
    • HTTP: http://remoteStream
    • HTTPS: https://remoteStream

See Connecting to HTTP Streams for more information regarding how to connect and authenticate to CSV files hosted on HTTP Streams.

IBM Cloud Object Storage

Set the following to identify your CSV resources stored on IBM Cloud Object Storage:

  • ConnectionType: Set this to IBM Object Storage Source.
  • URI: Set this to the bucket and folder. For example: ibmobjectstorage://bucket1/remotePath.

See Connecting to IBM Object Storage for more information regarding how to connect and authenticate to CSV files hosted on IBM Cloud Object Storage.

OneDrive

Set the following to identify your CSV resources stored on OneDrive:

  • ConnectionType: Set this to OneDrive.
  • URI: Set this to the path to a folder containing CSV files. For example: onedrive://remotePath.

See Connecting to OneDrive for more information regarding how to connect and authenticate to CSV files hosted on OneDrive.

Oracle Cloud Storage

Set the following properties to authenticate with HMAC:

  • ConnectionType: Set the ConnectionType to Oracle Cloud Storage.
  • URI: Set this to the bucket and folder: os://bucket/remotePath.
  • AccessKey: Set this to an Oracle Cloud Access Key.
  • SecretKey: Set this to an Oracle Cloud Secret Key.
  • OracleNamespace: Set this to an Oracle cloud namespace.
  • Region (optional): Set this to the hosting region for your S3-like Web Services.

SFTP

Set the following to identify your CSV resources stored on SFTP:

  • ConnectionType: Set this to SFTP.
  • URI: Set this to the address of the server followed by the path to the folder to be used as the root folder. For example: sftp://server:port/remotePath.

See Connecting to SFTP for more information regarding how to connect and authenticate to CSV files hosted on SFTP.

SharePoint Online

Set the following to identify your CSV resources stored on SharePoint Online:

  • ConnectionType: Set this to SharePoint REST or SharePoint SOAP.
  • URI: Set this to a document library containing CSV files. For example:
    • SharePoint Online REST: sprest://remotePath
    • SharePoint Online SOAP: sp://remotePath

See Connecting to SharePoint Online for more information regarding how to connect and authenticate to CSV files hosted on SharePoint Online.

Connecting to HTTP CSV Streams

Set the URI to the HTTP or HTTPS URL of the CSV resource you want to access as a table. For example: 

URI=http://www.host1.com/streamname1;
To authenticate, set AuthScheme and the corresponding properties. Specify additional headers in CustomHeaders to modify the query string, set CustomUrlParams.

To query the CSV stream, reference streamedtable as the table name. 

SELECT * FROM streamedtable

Connecting to Other Sources: System Streams

You can also read from and write to system streams. Reference the stream from code with the ExtendedProperties connection property. 

InputStream sourceStream = new FileInputStream(localPath);
Properties properties = new Properties();
properties.put("URI", "{streamedtable1}");
properties.put("ExtendedProperties", sourceStream);
Connection connection = DriverManager.getConnection("jdbc:csv", properties);
Statement statement = connection.createStatement()
ResultSet resultSet = statement.executeQuery("SELECT * FROM streamedtable1")

Securing CSV Connections

By default, the driver attempts to negotiate SSL/TLS by checking the server's certificate against the system's trusted certificate store. To specify another certificate, see the SSLServerCert property for the available formats to do so.

Copyright (c) 2023 CData Software, Inc. - All rights reserved.
Build 22.0.8462