> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-pipeline-3/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-pipeline-3/getting-started/homepage/create/creating-a-new-job/task-components/writers/hdfs-writer.md).

# 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 task writes the data in HDFS(**Hadoop Distributed File System).**

**Please follow the below steps to configure the meta information of HDFS Writer:**

<figure><img src="/files/OjvtPKUsH42l5mCo7s6K" alt=""><figcaption><p>HDFS Writer Task</p></figcaption></figure>

* **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 the file format in which the data has to be written:
  * ***CSV***
  * ***JSON***
  * ***PARQUET***
  * ***AVRO***
* **Save Mode:** Select the 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.


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