Connectors → Apache Hive

About Apache Hive

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Apache Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL.

About the Apache Hive Connector

The Apache Hive Connector loads data into Incorta from Apache Hive datasets using a Java Database Connectivity (JDBC) connection. The Apache Hive connector uses the org.apache.hive.jdbc.HiveDriver driver.

Apache Hive supports datasets in several file formats:

Text
Sequence
RC
Avro
ORC
Parquet
Custom INPUTFORMAT and OUTPUTFORMAT

The Apache Hive connector supports the following Incorta specific functionality:

Feature	Supported
Chunking
Data Agent	✔
Encryption at Ingest
Incremental Load	✔
Multi-Source	✔
OAuth
Performance Optimized	✔
Remote	✔
Single-Source	✔
Spark Extraction
Webhook Callbacks	✔

Steps to connect Apache Hive and Incorta

To connect Apache Hive and Incorta, here are the high level steps, tools, and procedures:

Create an external data source
Create a schema with the Schema Wizard
or, Create a schema with the Schema Designer
Load the schema
Explore the schema

Create an external data source

Here are the steps to create a external data source with the Apache Hive connector:

Sign in to the Incorta Direct Data Platform.
In the Navigation bar, select Data.
In the Action bar, select + New → Add Data Source.
In the Choose a Data Source dialog, in Database, select Apache Hive.
In the New Data Source dialog, specify the applicable connector properties.
To test, select Test Connection.
Select Ok to save your changes.

Apache Hive connector properties

Here are the properties for the Apache Hive connector:

Property	Control	Description
Data Source Name	text box	Enter the name of the data source
Kerberos Secured	toggle	Enable Kerberos authentication for the data source connection
Keytab Path	text box	Enable Kerberos Secured to configure this property. Enter the path to the Kerberos keytab on the database server.
Username	text box	Enter the Apache Hive account username
Password	text box	Enter the Apache Hive account user password
Connection Pool	text box	Enter the connection pool. The default is 30.
Connection String	text box	Enter the connection string for the Apache Hive JDBC driver. The format is: `jdbc:hive2://<HOST>:<PORT>/<DB>` The default port is 10000.
Connection Properties	text box	Optionally enter connector properties for a custom connection to Apache Hive in the format: `propertyName=propertyValue`, where each connector property is on a new line. The available connector properties are specified by `org.apache.hive.jdbc.HiveDriver`. Refer to Apache HiveServer2 JDBC for further information.
Use Data Agent	toggle	Enable using a data agent to securely ingest data from an external data source that is behind a firewall. For more information, please review Tools → Data Agent and Tools → Data Manager.
Data Agent	drop down list	Enable Use Data Agent to configure this property. Select from the data agents created in the tenant, if any.

Important: Data Agent

A data agent is a service that runs on a remote host. It is also a data agent object in the Data Manager for a given tenant. An authentication file shared between the data agent object and the data agent service enables an authorized connection without using a VPN or SSH tunnel. With a data agent, you can securely extract data from one or more databases behind a firewall to an Incorta cluster. Your Incorta cluster can reside on-premises or in the cloud. A CMC Administrator must enable and configure an Incorta cluster to support the use of Data Agents. Only a Tenant Administrator (Super User) or user that belongs to a group with the SuperRole role for a given tenant can create a data agent that connects to a data agent service. To learn more, see Concepts → Data Agent and Tools → Data Agent.

Important

There are known issues with the Apache Hive connector when you enable Kerberos authentication. Please contact support if you need to use this feature.

Create a schema with the Schema Wizard

Here are the steps to create an Apache Hive schema with the Schema Wizard:

Sign in to the Incorta Direct Data Platform.
In the Navigation bar, select Schema.
In the Action bar, select + New → Schema Wizard.
In (1) Choose a Source, specify the following:
- For Enter a name, enter the schema name.
- For Select a Datasource, select the Apache Hive external data source.
- Optionally create a description.
In the Schema Wizard footer, select Next.
In (2) Manage Tables, in the Data Panel, first select the name of the Data Source, and then check the Select All checkbox.
In the Schema Wizard footer, select Next.
In (3) Finalize, in the Schema Wizard footer, select Create Schema.

Create a schema with the Schema Designer

Here are the steps to create an Apache Hive schema using the Schema Designer:

Sign in to the Incorta Direct Data Platform.
In the Navigation bar, select Schema.
In the Action bar, select + New → Create Schema.
In Name, specify the schema name, and select Save.
In Start adding tables to your schema, select SQL Database.
In the Data Source dialog, specify the Apache Hive table data source properties.
Select Add.
In the Table Editor, in the Table Summary section, enter the table name.
To save your changes, select Done in the Action bar.

Apache Hive table data source properties

For a schema table in Incorta, you can define the following AWS Athena specific data source properties as follows:

Property	Control	Description
Type	drop down list	Default is SQL Database
Data Source	drop down list	Select the Apache Hive external data source
Remote	toggle	Enable this option to remotely access file data, which means no data is loaded to Incorta. See the Summary of Data Access Methods table for details on how setting this and the Performance Optimized option affects data accessibility.
File Type	text box	Displays the read-only type of Apache Hive file the table is sourced from
File Location	text box	Displays the read-only location of the Apache Hive file the table is sourced from
Incremental	toggle	Enable the incremental load configuration for the schema table
Fetch Size	text box	Used for performance improvement, fetch size defines the number of records that will be retrieved from the database in each batch until all records are retrieved. The default is 5000.
Query	text box	Enter the SQL query to retrieve data from the Apache Hive datasets
Update Query	text box	Enable Incremental to configure this property. Enter the SQL query to retrieve data updates from the Apache Hive database.
Incremental Field Type	drop down list	Enable Incremental to configure this property. Select the format of the table date column: ● Timestamp ● Unix Epoch (seconds) ● Unix Epoch (milliseconds)
Callback	toggle	Enable this option to call back on the source data set
Callback URL	text box	This property appears when the Callback toggle is enabled. Specify the URL.

Summary of Data Access Methods Based on Remote and Performance Optimized Settings

Table Properties	Data Source Properties	Parquet	DDM	Memory	SQLi	MV/ Notebooks	Analytics
Performance Optimized = Off	Remote = On	No	No	No	Yes	Yes	No
Performance Optimized = Off	Remote = Off	Yes	Yes	No	Yes	Yes	No, unless populated via MV/Notebook
Performance Optimized = On	Remote = Off	Yes	Yes	Yes	Yes	Yes	Yes

View the schema diagram with the Schema Diagram Viewer

Here are the steps to view the schema diagram using the Schema Diagram Viewer:

Sign in to the Incorta Direct Data Platform.
In the Navigation bar, select Schema.
In the list of schemas, select the Apache Hive schema.
In the Schema Designer, in the Action bar, select Diagram.

Load the schema

Here are the steps to perform a Full Load of the Apache Hive schema using the Schema Designer:

Sign in to the Incorta Direct Data Platform.
In the Navigation bar, select Schema.
In the list of schemas, select the Apache Hive schema.
In the Schema Designer, in the Action bar, select Load → Load Now → Full.
To review the load status, in Last Load Status, select the date.

Explore the schema

With the full load of the Apache Hive schema complete, you can use the Analyzer to explore the schema, create your first insight, and save the insight to a new dashboard.

To open the Analyzer from the schema, follow these steps:

In the Navigation bar, select Schema.
In the Schema Manager, in the List view, select the Apache Hive schema.
In the Schema Designer, in the Action bar, select Explore Data.

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