HDFS Writer

HDFS stands for Hadoop Distributed File System. It is a distributed file system designed to store and manage large data sets in a reliable, fault-tolerant, and scalable way. HDFS is a core component of the Apache Hadoop ecosystem and is used by many big data applications.

This component writes the data in HDFS(Hadoop Distributed File System).

All component configurations are classified broadly into 3 sections

• ​Basic Information​​

• Meta Information

• ​Resource Configuration​

Follow the given steps in the demonstration to configure the HDFS Writer component.

Configuring the HDFS Writer component​

Configuring the Meta Information tab of the HDFS Writer

• Host IP Address: Enter the host IP address for HDFS.

• Port: Enter the Port.

• Table: Enter the table name where the data has to be written.

• Zone: Enter the Zone for HDFS in which the data has to be written. Zone is a special directory whose contents will be transparently encrypted upon write and transparently decrypted upon read.

• File Format: Select a file format in which the data has to be written.

  • CSV

  • JSON

  • PARQUET

  • AVRO

• Save Mode: Select a Save Mode.

• Schema file name: Upload Spark schema file in JSON format.

• Partition Columns: Provide a unique Key column name to partition data in Spark.