How do I export data from HDFS to RDBMS using Sqoop?

Exporting data from HDFS to MySQL Step 1: Create a database and table in the hive. Step 2: Insert data into the hive table. Step 3: Create a database and table in MySQL in which data should be exported. Step 4: Run the following command on Hadoop.

How do I export data from Hive to Oracle?

Sqoop Import and Export tables from Hive to Oracle Database

  1. Step 1: Sqoop import data from Oracle database to Hive table.
  2. Step 2: Load the above Sqoop extracted data to a Hive table.
  3. Step 3: Export a file using Hive query to be consumed by Sqoop.
  4. Step 4: Load data from Hive table exported file to Oracle database table.

What is Sqoop export command?

The Sqoop export tool is used for exporting a set of files from the Hadoop Distributed File System back to the RDBMS. For performing export, the target table must exist on the target database. The files given as an input to Apache Sqoop contain the records, which are called as rows in the table.

How does Sqoop import export work?


  1. It is used to transfer the bulk of data between HDFS and Relational Database Servers.
  2. It is used to import the data from RDBMS to Hadoop and export the data from Hadoop to RDBMS.
  3. It uses Map Reduce for its import and export operation.
  4. It also uses a command-line argument for its import and export procedure.

How do I export from HDFS?

9 Answers

  1. bin/hadoop fs -get /hdfs/source/path /localfs/destination/path.
  2. bin/hadoop fs -copyToLocal /hdfs/source/path /localfs/destination/path.
  3. Point your web browser to HDFS WEBUI( namenode_machine:50070 ), browse to the file you intend to copy, scroll down the page and click on download the file.

Can Sqoop export create table?

Thank you for your response, but I asked a different question that can Sqoop export command be used to create a table in RDBMS. Apologies if my question was not clear before. Happy to help with that question. The simple answer is YES below I am demonstrating with the table staff created in the previous post!

How do I import data from sqoop to hive?

How to Import Data From MySQL to Hive Using Sqoop

  1. 1.1 I. Check MySQL Table emp.
  2. 1.2 II. Now write the Sqoop import scripts to import MySQL data into Hive.
  3. 1.3 III. Check the file in HDFS.
  4. 1.4 IV. Verify the number of records.
  5. 1.5 V. Check the imported records in HDFS.
  6. 1.6 VI. Verify data in Hive.
  7. 1.7 Conclusion.

How can I improve my Sqoop export performance?

To optimize performance, set the number of map tasks to a value lower than the maximum number of connections that the database supports. Controlling the amount of parallelism that Sqoop will use to transfer data is the main way to control the load on your database.

Can you write the syntax for Sqoop import?

You enter the Sqoop import command on the command line of your Hive cluster to import data from a data source into HDFS and Hive. The import can includes the following information, for example: Database connection information: database URI, database name, and connection protocol, such as jdbc:mysql: The data to import.

How do I import data from HDFS to Hive using Sqoop?

How to import data in Hive using Sqoop

  1. First you should import the RDBMS tables in HDFS- Check this link for details.
  2. Convert the data into ORC file format.
  3. Then create Hive table and import the HDFS data to Hive table using the below command.

How do you copy files from HDFS to HDFS?

In order to copy a file from the local file system to HDFS, use Hadoop fs -put or hdfs dfs -put, on put command, specify the local-file-path where you wanted to copy from and then HDFS-file-path where you wanted to copy to. If the file already exists on HDFS, you will get an error message saying “File already exists”.

How do I copy a file from HDFS to local Unix?

You can copy the data from hdfs to the local filesystem by following two ways:

  1. bin/hadoop fs -get /hdfs/source/path /localfs/destination/path.
  2. bin/hadoop fs -copyToLocal /hdfs/source/path /localfs/destination/path.

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