@happybuddha To execute multiple sql statements from within the DBeaver editor, choose 'Execute SQL Script' from the SQL Editor menu. The shortcut is Alt+X. – splungebob Sep 26 '18 at 1:11 Yeah, I also found this SQL Editor feature after working with DBeaver for 2 weeks. Hi, My version of DBeaver is 4.2.2 In my 'Preferences', I have configured the SQL editor to have the blank line as statement delimiter. This works fine, except when the last line of the first statement finishes with a comment. As of today, it is available only as a paid service in SAP Cloud Platform, but (usual disclaimer about forward-looking statement applies) the trial version should be available later this year. As a reminder, the IP address of a machine from which a DB client tries to connect to SAP HANA Cloud instance — should be whitelisted by your.

Dbeaver Like Statements

The CData JDBC Driver for Parquet implements JDBC standards that enable third-party tools to interoperate, from wizards in IDEs to business intelligence tools. This article shows how to connect to Parquet data with wizards in DBeaver and browse data in the DBeaver GUI.

Create a JDBC Data Source for Parquet Data

Dbeaver Sql Like

It supports simple SELECT queries, DDL statements (like CREATE TABLE) and some other. You can use standard DBeaver SQL editor to execute CQL queries. DBeaver EE supports Cassandra query execution, results scrolling, data export/import, mock data generation and other features.

Follow the steps below to load the driver JAR in DBeaver.

1. Open the DBeaver application and, in the Databases menu, select the Driver Manager option. Click New to open the Create New Driver form.
2. In the Driver Name box, enter a user-friendly name for the driver.
3. To add the .jar, click Add File.
4. In the create new driver dialog that appears, select the cdata.jdbc.parquet.jar file, located in the lib subfolder of the installation directory.
5. Click the Find Class button and select the ParquetDriver class from the results. This will automatically fill the Class Name field at the top of the form. The class name for the driver is cdata.jdbc.parquet.ParquetDriver.
6. Add jdbc:parquet: in the URL Template field.

Create a Connection to Parquet Data

Follow the steps below to add credentials and other required connection properties.

1. In the Databases menu, click New Connection.
2. In the Create new connection wizard that results, select the driver.
3. On the next page of the wizard, click the driver properties tab.

4. Enter values for authentication credentials and other properties required to connect to Parquet.

   Connect to your local Parquet file(s) by setting the URI connection property to the location of the Parquet file.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.parquet.jar

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

   Below is a typical connection string:

   jdbc:parquet:URI=C:folder able.parquet;

Query Parquet Data

You can now query information from the tables exposed by the connection: Right-click a Table and then click Edit Table. The data is available on the Data tab.