The main functionality of the Spark SQL Connector is to allow the execution of a Spark job to extract structured data using Spark SQL capabilities. Version 1.0.0 lets you submit a job defined as a SQL Query into a Spark standalone cluster and retrieve the results as a collection of entities.
A use case can define a context with sources like a JSON file at Hadoop, a Cassandra DB, and a PostgreSQL DB to execute a SQL Query as a SparkSQL Job that joins and filters these data sources, and produces a list of objects with the requested data.
The Spark SQL Connector can use SSL (Secure Socket Layer) to communicate with Spark Master or Spark Workers if configured to. Note that this connector doesn't implement any cryptographic directly, it uses the algorithms provided by Java.
The form and manner of this Spark SQL Connector distribution makes it eligible for export under the License Exception ENC Technology Software Unrestricted (TSU) exception (see the BIS Export Administration Regulations, Section 740.13) for both object code and source code. The Spark SQL Connector may use Java Secure Socket Extension (JSSE) provided by Java.
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To purchase the connector or to get assistance or support for the Spark SQL Connector, contact Mnemo directly at email@example.com.
By installing this connector, you consent to MuleSoft sharing your contact information with the developer of this connector so that you can receive more information about it directly from the developer.
About MNEMO Technologies
MNEMO is a Spanish consulting company with multinational vocation, already consolidated in Mexico, Colombia and Saudi Arabia. Our vocation is technology and security, both closely linked by the globalization and digitization of the world in which we live.
MNEMO Professional Team consists of more than 1.000 professionals, constituting a very solid technical group with many years of experience in the market and incorporating from its R&D new talent for innovation in this changing world. For more information, visit https://www.mnemo.com/.
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