Oct 3, 2009 - Move this file to /Library/Java/Extensions/. According to this Mac Dev Center article, Java loads the extensions within this folder when starting. I have installed the 10g final release for Mac OS X 10.3.7. I did a custom install.ONLY the JDBC drivers.nothing else. I have gotten the THIN driver to work fine and connect to the database.
6.1. Configuring JDBC drivers Before you can connect to a DBMS you have to configure the JDBC driver to be used. The driver configuration is available in the connection dialog or through File → Manage Drivers The JDBC driver is a file with the extension.jar (some drivers need more than one file). See the end of this section for a list of download locations.
Once you have downloaded the driver you can store the driver's.jar file anywhere you like. To register a driver with SQL Workbench/J you need to specify the following details. the driver's class name. the library ('JAR file') where to find the driver (class) After you have selected the.jar file(s) for a driver (by clicking on the button), SQL Workbench/J will scan the jar file looking for a JDBC driver. If only a single driver is found, the class name is automatically put into the entry field for the class name. If more than one JDBC driver implementation is found, you will be prompted to select one.
In that case, please refer to the manual of your driver or database to choose the correct one. SQL Workbench/J is not using the system's CLASSPATH definition (i.e. The environment variable named CLASSPATH) to load the driver classes. Changing the CLASSPATH environment variable to include your driver's library will have no effect. If you enter the class name of the driver manually, remember that it's case-sensitive: org.postgresql.driver is something different than org.postgresql.Driver Files that are not found are displayed in red and italics. The name of the library has to contain the full path to the driver's jar file, so that SQL Workbench/J can find it.
Some drivers are distributed in several jar files. In that case, select all necessary files in the file open dialog, or add them one after the other. If an entry is selected in the list of defined jar files when adding a new jar file, the selected entry will be overwritten. For drivers that require a license file, you have to include the license jar to the list of files for that driver. If the driver requires files that are not contained in the jar library, you have to include the directory containing those files as part of the library definition (e.g: 'c: etc TheDriver jdbcDriver.jar;c: etc TheDriver').
You can assign a sample URL to each driver, which will be put into the URL property of the profile, when the driver class is selected. SQL Workbench/J comes with some sample URLs pre-configured. Some of these sample URLs use brackets to indicate a parameters that need to be replaced with the actual value for your connection: (servername) In this case the entire sequence including the brackets need to be replaced with the actual value.
. This section contains information related to application development for ecosystem components and MapR products including MapR Database (binary and JSON), MapR Filesystem, and MapR Streams. Before you start developing applications on MapR’s Converged Data Platform, consider how you will get the data onto the platform, the format it will be stored in, the type of processing or modeling that is required, and how the data will be accessed. The following sections provide information about accessing MapR Filesystem with C and Java applications. This section contains information about developing client applications for JSON and binary tables. MapR Event Store For Apache Kafka brings integrated publish and subscribe messaging to the MapR Converged Data Platform.
This section contains information associated with developing YARN applications. The MapR Data Science Refinery is an easy-to-deploy and scalable data science toolkit with native access to all platform assets and superior out-of-the-box security. This section describes how to use and troubleshoot the MapR Data Fabric for Kubernetes. The following sections provide information about each open source project that MapR supports. A MapR Ecosystem Pack ( MEP) provides a set of ecosystem components that work together on one or more MapR cluster versions. Only one version of each ecosystem component is available in each MEP. For example, only one version of Hive and one version of Spark is supported in a MEP.
Starting with MapR Ecosystem Pack ( MEP) 6.0.0, MapR Object Store with S3-Compatible API ( MapR Object Store) is included in MEP repositories. To fully benefit from the MapR Object Store, it is important to understand what the MapR Object Store is and how it works, how to authenticate it and perform bucket operations.
This section discusses topics associated with Maven and MapR. This section contains in-depth information for the developer. MapR supports public APIs for MapR Filesystem, MapR Database, and MapR Event Store For Apache Kafka. These APIs are available for application development purposes. JDBC The MapR Impala JDBC Driver is available in a JAR file.
You can download the driver to access Impala from a Java application or any tool that uses a JDBC connection. You can download the Impala JDBC driver from The documentation for the Impala JDBC 1.0.46 driver is available at. ODBC The MapR Impala ODBC Driver is available for Microsoft Windows, Linux, and Mac OS X. The driver complies with the ODBC 3.52 data standard and adds Unicode and 32- and 64-bit support on all platforms. The ODBC driver connects to an Impala server regardless of the server’s host operating system. You can download the Impala ODBC driver from The documentation for the Impala ODBC 1.2.16 driver is available at.
The following sections provide JDBC and ODBC connection information.