Apache Hive Connector for SSRS Apache Hive Connector lets you connect to the Apache Hive engine to query petabytes of data in distributed storage using SQL. In this article you will learn how to quickly and efficiently integrate Apache Hive data in SSRS without coding. We will use high-performance Apache Hive Connector to easily connect to Apache Hive and then access the data inside SSRS. Let's follow the steps below to see how we can accomplish that! Download Documentation Apache Hive Connector for SSRS is based on ZappySys JDBC Bridge Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few.

Connect to Apache Hive in other apps Connect to Apache Hive in SSIS Connect to Apache Hive in SQL Server Connect to Apache Hive in Power BI Connect to Apache Hive in Informatica Connect to Apache Hive in MS Access Connect to Apache Hive in MS Excel Connect to Apache Hive in SSAS Connect to Apache Hive in C# Connect to Apache Hive in Python Connect to Apache Hive in JAVA Connect to Apache Hive in Tableau Connect to Apache Hive in SAP Crystal Reports Connect to Apache Hive in Azure Data Factory (Pipeline) Connect to Apache Hive in Azure Data Factory (SSIS) Connect to Apache Hive in Talend Studio Connect to Apache Hive in UiPath Connect to Apache Hive in PowerShell Connect to Apache Hive in ODBC

Video Tutorial - Integrate Apache Hive data in SSRS

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

• How to download and install the required PowerPack for Apache Hive integration in SSRS
• How to configure the connection for Apache Hive
• Features of the ZappySys JDBC Bridge Driver (Authentication / Query Language / Examples / Driver UI)
• How to use the Apache Hive in SSRS

Prerequisites

Before we begin, make sure you meet the following prerequisite:

• Java 8 Runtime Environment (JRE) installed. It is recommended to use these distributions:

  • Amazon Corretto 8
  • Oracle JRE 8

Download Apache Hive JDBC driver

To connect to Apache Hive in SSRS, you will have to download JDBC driver for it, which we will use in later steps. It is recommended to use JDBC driver compiled for Java 8, if possible. Let's perform these little steps right away:

1. Visit MVN Repository.
2. Download the JDBC driver, and save it locally, e.g. to D:\Drivers\JDBC\hive-jdbc-standalone.jar.
3. Make sure to download the standalone version of the driver to avoid Java library dependency errors, e.g., hive-jdbc-4.0.1-standalone.jar.
4. Done! That was easy, wasn't it? Let's proceed to the next step.

Create Data Source in ZappySys Data Gateway based on JDBC Bridge Driver

1. Download and install ODBC PowerPack.

2. Search for gateway in start menu and Open ZappySys Data Gateway:

   

3. Go to Users Tab to add our first Gateway user. Click Add; we will give it a name tdsuser and enter password you like to give. Check Admin option and click OK to save. We will use these details later when we create linked server:

   

4. Now we are ready to add a data source. Click Add, give data source a name (Copy this name somewhere, we will need it later) and then select Native - ZappySys JDBC Bridge Driver. Finally, click OK. And it will create the Data Set for it and open the ZS driver UI.

   ApacheHiveDSN

   Native - ZappySys JDBC Bridge Driver

   

5. Now, we need to configure the JDBC connection in the new ODBC data source. Simply enter the Connection string, credentials, configure other settings, and then click Test Connection button to test the connection:

   ApacheHiveDSN

   jdbc:hive2://hive-instance-host-name:10000/default

   D:\Drivers\JDBC\hive-jdbc-standalone.jar

   []

   

   Use these values when setting parameters:

   • Connection string: jdbc:hive2://hive-instance-host-name:10000/default
   • JDBC driver file(s): D:\Drivers\JDBC\hive-jdbc-standalone.jar
   • Connection parameters: []

6. You should see a message saying that connection test is successful:

   

   Otherwise, if you are getting an error, check out our Community for troubleshooting tips.

7. We are at the point where we can preview a SQL query. For more SQL query examples visit JDBC Bridge documentation:

   ApacheHiveDSN

   -- Basic SELECT with a WHERE clause
   SELECT
       id,
       name,
       salary
   FROM employees
   WHERE department = 'Sales';

   

   -- Basic SELECT with a WHERE clause
   SELECT
       id,
       name,
       salary
   FROM employees
   WHERE department = 'Sales';

   You can also click on the <Select Table> dropdown and select a table from the list.

   The ZappySys JDBC Bridge Driver acts as a transparent intermediary, passing SQL queries directly to the Trino JDBC driver, which then handles the query execution. This means the Bridge Driver simply relays the SQL query without altering it.

   Some JDBC drivers don't support INSERT/UPDATE/DELETE statements, so you may get an error saying "action is not supported" or a similar one. Please, be aware, this is not the limitation of ZappySys JDBC Bridge Driver, but is a limitation of the specific JDBC driver you are using.

8. Click OK to finish creating the data source.

Read data in SSRS from ZappySys Data Gateway

1. Open Visual Studio and create a new SSRS project

2. Then add a new Shared Data Source (you can create a non-shared data source inside report too):

   

3. Continue with creating the Shared Data Source. Select Microsoft SQL Server as Type and hit Build button to proceed further:

   

4. Once a window opens, configure it similarly. Configure "ApacheHiveDSN" as database name. Finally, hit Test Connection and OK:

   ApacheHiveDSN

   

5. Another window opens, and it should look similarly to this one below which ends the creation of a Data Source:

   DataSource=localhost,5000;Initial Catalog=ApacheHiveDSN

   

6. Now it's time to create a Dataset. If you don't have a report created, in one of the wizard's steps it will look like this:

   -- Basic SELECT with a WHERE clause SELECT id, name, salary FROM employees WHERE department = 'Sales';

   

7. Finally, once you complete the report, similar results will show up:

   

Passing Parameters to SSRS Report / Filter data

If you want to parameterize your report, then refer to this article

Conclusion

In this article we showed you how to connect to Apache Hive in SSRS and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys JDBC Bridge Driver allows you to connect not only to Apache Hive, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).

We encourage you to download Apache Hive Connector for SSRS and see how easy it is to use it for yourself or your team.

If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.

Download Apache Hive Connector for SSRS Documentation

More integrations

Other connectors for SSRS

Amazon Ads

Amazon Athena

Amazon Selling Partner (SP-API)

Apache Derby

Apache Spark

Asana

Azure DevOps

Cosmos DB

DropBox

ElasticSearch

FastSpring

Google Ads

Google BigQuery

Google Calendar

Google Drive

Google Sheets

Hubspot

Infor Data Lake

Jira

Mailchimp

ManagedEngine ServiceDesk Plus (Zoho)

MariaDB

OData

OneDrive

Outlook Mail (Office 365)

Power BI

ServiceNow

SharePoint Online

Shopify

Smartsheet

Starburst

Stripe

Trino

YouTube

Zendesk

Zoho CRM

Zoho SalesIQ

Zoom

REST API

JSON

JSON File

XML

SOAP

XML File

JDBC-ODBC Bridge

Salesforce

CSV

Amazon S3 JSON File

Amazon S3 XML File

Amazon S3 CSV File

Azure Blob JSON File

Azure Blob XML File

Azure Blob CSV File

FTP/SFTP JSON File

FTP/SFTP XML File

FTP/SFTP CSV File

Build your own Custom API Connector

Other application integration scenarios for Apache Hive

SSIS

SQL Server

Power BI

Informatica

MS Access

MS Excel

SSAS

C#

Python

JAVA

Tableau

SAP Crystal Reports

Azure Data Factory (Pipeline)

Azure Data Factory (SSIS)

Talend Studio

UiPath

PowerShell

ODBC

Common Searches: