Query : Beeline interface in Spark SQL

what is spark beeline
how to connect to spark thrift server using beeline
spark thrift server vs hive thrift server
spark thrift server tutorial
beeline hive
spark thrift server performance
spark distributed sql engine
spark thrift server configuration

Beeline script is one of the way of connecting to HiveServer2 present in Spark/bin.

I ran simple query as below.

In output I can see Map-Reduce is being launched.

I am just trying to understand what is advantage of beeline feature in Spark as it follows traditional map-reduce execution framework?

Can we use Spark RDD feature in beeline?

Thanks in advance.

Beeline is not part of Spark.

It's just a HiveServer2 client.

You can launch the Spark shell and execute queries within the shell, but this has nothing to do with Beeline. As Beeline has nothing to do with Spark.

Connecting to the Spark SQL Thrift server using Beeline, Use Shark Beeline to test the Spark SQL Thrift server. By default, the server listens on port 10000 on the localhost interface on the node from which it was started. You can Connect to a keyspace and run a query from the Beehive shell​. Spark Streaming, Spark SQL, and MLlib are modules that extend the capabilities of Spark. Using Spark SQL to query data. Spark SQL allows you to execute Spark queries using a variation of the SQL language. Connecting to the Spark SQL Thrift server using Beeline. Use Shark Beeline to test the Spark SQL Thrift server.

This is one way.If you dont want to use Mapreduce you can use TEZ as engine.Which will run in memory as more faster than MR.

SET hive.execution.engine=tez;

But you can not run spark ifrom beeline.This is a standalone application which connects to hiveserver2.

Query : Beeline interface in Spark SQL - apache-spark, Beeline is not part of the Spark engine. It is just a JDBC client that connects to Spark's Thriftserver (JDBC server). Beeline provides a SQL interface for you to  Spark SQL can also act as a distributed query engine using its JDBC/ODBC or command-line interface. In this mode, end-users or applications can interact with Spark SQL directly to run SQL queries, without the need to write any code. Running the Thrift JDBC/ODBC server.

Adding on to what @MondayMonkey said. Beeline is not part of the Spark engine. It is just a JDBC client that connects to Spark's Thriftserver (JDBC server). Beeline provides a SQL interface for you to interact with Spark SQL

Distributed SQL Engine - Spark 2.4.5 Documentation, Spark SQL can also act as a distributed query engine using its JDBC/ODBC or command-line interface. In this mode, end-users or You can test the JDBC server with the beeline script that comes with either Spark or Hive 1.2.1. To start the  Spark SQL allows relational queries expressed in SQL, HiveQL, or Scala to be executed using Spark. At the core of this component is a new type of RDD, SchemaRDD. SchemaRDDs are composed of Row objects, along with a schema that describes the data types of each column in the row.

Query : Beeline interface in Spark SQL - apache-spark, Beeline script is one of the way of connecting to HiveServer2 present in Spark/bin​. I ran simple query as below. In output I can see Map-Reduce is being  You can execute Spark SQL queries in Java applications that traverse over tables. Java applications that query table data using Spark SQL require a Spark session instance. Querying DSE Graph vertices and edges with Spark SQL. Spark SQL can query DSE Graph vertex and edge tables. Supported syntax of Spark SQL. Spark SQL supports a subset of the SQL-92 language.

Working with Spark SQL to query data, With Spark SQL, you can query data in Hive databases and other data sets. SQL interface using the command-line interface or over JDBC/ODBC. to the cluster and launch Beeline by providing the Spark SQL endpoint:. Returns the user-specified name of the query, or null if not specified. This name can be specified in the org.apache.spark.sql.streaming.DataStreamWriter as dataframe.writeStream.queryName("query").start(). This name, if set, must be unique across all active queries.

Spark SQL example, saveAsTable("sample_09") tbls = sqlContext.sql("show tables") tbls.show(). note. Instead of displaying the tables using Beeline, the show tables query is run  Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. Internally, Spark SQL uses this extra information to perform extra optimizations.