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  • YUGABYTEDB CORE
    • Quick start
      • 1. Install YugabyteDB
      • 2. Create a local cluster
      • 3. Explore distributed SQL
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  • YUGABYTE PLATFORM
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      • Administer Yugabyte Platform
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  • YUGABYTE CLOUD
    • Yugabyte Cloud
      • Free tier
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  • REFERENCE
    • Reference
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            • case study—Bacon Numbers from IMDb
              • Bacon numbers for synthetic data
              • Bacon numbers for IMDb data
        • Data types
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              • linear regression
                • covar_pop(), covar_samp(), corr()
                • regr_%()
              • mode(), percentile_disc(), percentile_cont()
              • rank(), dense_rank(), percent_rank(), cume_dist()
            • case study—percentile_cont() and the "68–95–99.7" rule
            • case study—linear regression on COVID data
              • Download the COVIDcast data
              • Ingest the COVIDcast data
                • Inspect the COVIDcast data
                • Copy the .csv files to staging tables
                • Check staged data conforms to the rules
                • Join the staged data into a single table
                • SQL scripts
                  • Create cr_staging_tables()
                  • Create cr_copy_from_scripts()
                  • Create assert_assumptions_ok()
                  • Create xform_to_covidcast_fb_survey_results()
                  • ingest-the-data.sql
              • Analyze the COVIDcast data
                • symptoms vs mask-wearing by day
                • Data for scatter-plot for 21-Oct-2020
                • Scatter-plot for 21-Oct-2020
                • SQL scripts
                  • analysis-queries.sql
                  • synthetic-data.sql
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              • Tables for the code examples
                • table t1
                • table t2
                • table t3
                • table t4
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              • do_clean_start.sql
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              • Reports
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        • Extensions
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      • YCQL
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    • CLIs
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> Third party tools >

SQL Workbench/J

  • Before you begin
    • YugabyteDB
    • Java runtime environment (JRE)
    • PostgreSQL JDBC driver
  • Install SQL Workbench/J
  • Configure SQL Workbench/J
    • Configure the PostgreSQL driver
    • Create a YugabyteDB connection profile
  • What's next

SQL Workbench/J is a free, DBMS-independent, cross-platform SQL query tool that also works with YugabyteDB. SQL Workbench/J is written in Java and should run on any operating system that provides a Java Runtime Environment (JRE).

SQL Workbench/J has the following main focus:

  • Running SQL scripts, either interactively or as a batch
  • Rich support for importing and exporting datasets
  • Editing, inserting, and deleting data directly in the query result view
  • Running queries in console mode

In this section, you'll learn how to connect SQL Workbench/J with all of the YugabyteDB APIs on a local cluster. SQL Workbench/J works without any issues with YugabyteDB because the YugabyteDB APIs are compatible at the wire protocol level with databases already supported by SQL Workbench/J.

Before you begin

To use SQL Workbench/J with YugabyteDB, you need to have YugabyteDB up and running, the required Java Runtime Environment (JRE), and the required PostgreSQL JDBC driver.

YugabyteDB

Your YugabyteDB cluster should be up and running. If you are new to YugabyteDB, you can quickly create a local cluster by following the steps in Quick start.

Java runtime environment (JRE)

SQL Workbench/J requires a Java runtime (or JDK) for Java 8 or later. JRE and JDK installers for Linux, macOS, and Windows can be downloaded from OpenJDK, AdoptOpenJDK, or Azul Systems.

For details on the JRE requirements, see the prerequisites section in the SQL Workbench/J Getting started page.

PostgreSQL JDBC driver

To connect SQL Workbench/J to a YugabyteDB cluster, you need the PostgreSQL JDBC driver installed. To download the current version that supports Java 8 or later, go to the PostgreSQL JDBC Driver Download page page.

Install SQL Workbench/J

  1. Go to the SQL Workbench/J website and download the distribution package for the operating system on your client computer.
  2. Extract the archive into a directory of your choice.

The application is now ready to run — no further steps are necessary. For details, see Installing and starting SQL Workbench/J in the SQL Workbench/J user manual.

Configure SQL Workbench/J

Configure the PostgreSQL driver

YugabyteDB is PostgreSQL-compatible, so when working with SQL Workbench/J, use the PostgreSQL JDBC Driver.

  1. Launch the SQL Workbench/J application. The Select Connection Profile pop-up window appears.

Select connection profile

  1. Click Manage Drivers (in the lower left of the window) to open the Manage Drivers window.

Manage drivers

  1. In the list of drivers, select PostgreSQL and then edit the fields for the driver:

    • Name:PostgreSQL (for YugabyteDB)

    • Library: Displays the location of the PostgreSQL JDBC driver's JAR file. [For a new configuration, browse to the location of the file and click Choose.] When installed, the default location of the JRE or JDK is:

      \Library\Java\Extensions\<jdbc-driver>.jar`
      
    • Classname: org.postgresql.Driver

    • Sample URL: jdbc:postgresql:127.0.0.1:5433/name_of_database (based on YugabyteDB default values). When opening the driver configuration initially, this field displays

      jdbc:postgresql://host:port/name_of_database
      
  2. Click OK. The Manage drivers window closes and returns you to the Select Connection Profile window.

You have now configured the PostgreSQL JDBC driver to work with YugabyteDB and can now create a connection profile.

For more information, see:

  • JDBC Drivers in the SQL Workbench/J user manual.
  • PostgreSQL JDBC Driver documentation.

Create a YugabyteDB connection profile

You need to create a connection profile for each database you use and you can always get to the Select Connection Profile window from the menu by selecting File > Connect window.

  1. In the Select Connection Profile window, click Create a new connection profile. A new profile is created.
  2. Replace New profile with a meaningful name for the connection profile. Because you need a separate profile for each database connection, include the database name in your profile name.
  3. For Driver, select PostgreSQL (for YugabyteDB) (org.postgresql.Driver).
  4. For URL, replace name_of_database with the name of the database you want to connect to.
  5. For Username, enter yugabyte, or the user name you will be using.
  6. For Password, leave the field empty unless YSQL authentication is enabled.
  7. Select Autocommit. In PostgreSQL and YugabyteDB, AUTOCOMMIT is on by default.
  8. Click Test to verify that the connection works successfully.
  9. Click OK. The SQL Workbench/J default window appears. Your connection is now ready to be used.

That's all of the settings you need to start using the connection. For details on configuration profiles, see Connecting to the database in the SQL Workbench/J user manual.

What's next

Now that you know how to configure SQL Workbench/J to work with your YugabyteDB databases, you can start exploring the features of SQL Workbench/J. For details on using SQL Workbench/J, see SQL Workbench/J User's Manual.

If you're looking for sample databases to explore YugabyteDB using SQL Workbench/J, see Sample data.

  • Before you begin
    • YugabyteDB
    • Java runtime environment (JRE)
    • PostgreSQL JDBC driver
  • Install SQL Workbench/J
  • Configure SQL Workbench/J
    • Configure the PostgreSQL driver
    • Create a YugabyteDB connection profile
  • What's next
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