Hive LLAP

When working with Power BI, connecting to data sources is a critical step. One data source that is becoming increasingly popular is Hive LLAP. Hive LLAP is a data warehouse technology that allows for querying of large datasets stored in the Hadoop Distributed File System (HDFS). In this article, we will explore how to connect to the Hive LLAP data source using Power Query M Language code from inside Power BI.

Prerequisites

Before we begin, there are a few prerequisites that need to be in place:

– Power BI Desktop must be installed on your machine.

– The Hive LLAP data source must be accessible from your machine.

– The required ODBC driver for Hive LLAP must be installed on your machine.

If any of these prerequisites are not met, please ensure they are in place before proceeding.

Creating the Connection

To create a connection to the Hive LLAP data source, we will first need to open Power BI Desktop. From the Home screen, select the “Get Data” option in the ribbon. In the “Get Data” window, select “ODBC” from the list of available connections.


In the “ODBC” window, select the “Advanced” option. In the “Advanced Options” window, we will need to enter the connection string for the Hive LLAP data source. The connection string will look something like this:

---

Driver={ODBC Driver for Apache Hive};Host=;Port=;Schema=;UID=;PWD=;

---

Replace `` with the hostname or IP address of your Hive LLAP server, `` with the port number for the Hive LLAP server (default is usually 10000), `` with the Hive database name, `` with the username for connecting to the Hive LLAP data source, and `` with the corresponding password.

Once the connection string has been entered, select “Connect” to create the connection to the Hive LLAP data source.


Querying the Data

Now that we have created the connection to the Hive LLAP data source, we can begin querying the data. To do this, we will need to add a new query to our Power BI report. From the Home screen, select the “New Source” option in the ribbon. In the “New Source” window, select “Blank Query”.


In the “New Query” window, select the “Advanced Editor” option. In the “Advanced Editor” window, we can begin writing our Power Query M Language code to query the data. Here is an example of Power Query M Language code for connecting to the Hive LLAP data source:

---

let

Source = Odbc.DataSource(“dsn=“),

Query = “SELECT FROM

“,

Results = Odbc.Query(Source, Query)

in

Results

---

Replace `` with the name of the ODBC data source name configured on your machine and `

` with the name of the table you wish to query.

Once the Power Query M Language code has been entered, select “Done” to create the query. From here, you can manipulate the data as needed using Power Query transformations.

Conclusion

Connecting to the Hive LLAP data source from inside Power BI is a powerful capability that allows for querying of large datasets stored in the Hadoop Distributed File System. With the Power Query M Language code provided in this article, you can easily create a connection to the Hive LLAP data source and begin querying the data.

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