What is deploy mode in spark?
Answer / Gaurav Maheshwari
"Deploy mode" in Apache Spark refers to the configuration that determines how a Spark application or service is started. There are two main deploy modes: "cluster" and "client". In cluster mode, the master and worker nodes run the entire application, while in client mode, the driver program runs on the client machine, and it submits tasks to a remote Spark cluster.
| Is This Answer Correct ? | 0 Yes | 0 No |
How to process data using Transformation operation in Spark?
Explain schemardd?
What is the difference between rdd and dataframe?
What does the Spark Engine do?
What are the functions of "Spark Core"?
What is a worker node in Apache Spark?
Explain textFile Vs wholeTextFile in Spark?
How to create a Sparse vector from a dense vector?
Who creates dag in spark?
What is Spark Streaming?
What is executor spark?
Is spark and hadoop same?
Apache Hadoop (394)
MapReduce (354)
Apache Hive (345)
Apache Pig (225)
Apache Spark (991)
Apache HBase (164)
Apache Flume (95)
Apache Impala (72)
Apache Cassandra (392)
Apache Mahout (35)
Apache Sqoop (82)
Apache ZooKeeper (65)
Apache Ambari (93)
Apache HCatalog (34)
Apache HDFS Hadoop Distributed File System (214)
Apache Kafka (189)
Apache Avro (26)
Apache Presto (15)
Apache Tajo (26)
Hadoop General (407)