Read from HBase in Java

You must have the following services running – HDFS, HBase, and Zookeeper. Spark and YARN if connecting to HBase from a Spark job.

Step 1: The pom.xml file must have HBase client library as as shown below.

Step 2: A simple Java class that reads from an HBase table named “orders”. It assumes that the table and data exists. Refer to the write to HBase tutorial if table or data does not exist.

Step 3: Where do you get HBase configs from to be able to connect? HBase uses Zookeeper.

Option 1: On the edge node Via /etc/hbase/conf/hbase-site.xml. HBase uses zookeeper for coordination, and you will see an entry in the hbase-site.xml as

Option 2: If you are on Cloudera, go to Cloudera Manager, and click on “HBase“, and then select “Actions” drop down and click “Download Client Configuration”, which is a zip file that contains “hbase-site.xml“.

Option 3: When you are running as a spark submit job, you need to provide the following configs

So, in the above HBase code that uses “hbConf.addResource(url)” in the local Spark mode, you can set the ” hbase.zookeeper.quorum” property.


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BigData on Cloudera
Module 1 Installing & getting started with Cloudera Quick Start+
Unit 1 Installing & getting started with Cloudera QuickStart on VMWare for windows in 17 steps  - Preview
Unit 2 ⏯ Cloudera Hue, Terminal Window (on edge node) & Cloudera Manager overview  - Preview
Unit 3 Understanding Cloudera Hadoop users  - Preview
Unit 4 Upgrading Java version to JDK 8 in Cloudera Quickstart  - Preview
Module 2 Getting started with HDFS on Cloudera+
Unit 1 ⏯ Hue and terminal window to work with HDFS  - Preview
Unit 2 Java program to list files in HDFS & write to HDFS using Hadoop API  - Preview
Unit 3 ⏯ Java program to list files on HDFS & write to a file in HDFS  - Preview
Unit 4 Write to & Read from a csv file in HDFS using Java & Hadoop API  - Preview
Unit 5 ⏯ Write to & read from HDFS using Hadoop API in Java  - Preview
Module 3 Running an Apache Spark job on Cloudera+
Unit 1 Before running a Spark job on a YARN cluster in Cloudera  - Preview
Unit 2 Running a Spark job on YARN cluster in Cloudera  - Preview
Unit 3 ⏯ Running a Spark job on YARN cluster  - Preview
Unit 4 Write to HDFS from Spark in YARN mode & local mode  - Preview
Unit 5 ⏯ Write to HDFS from Spark in YARN & local modes  - Preview
Unit 6 Spark running on YARN and Local modes reading from HDFS  - Preview
Unit 7 ⏯ Spark running on YARN and Local modes reading from HDFS  - Preview
Module 4 Hive on Cloudera+
Unit 1 Getting started with Hive  - Preview
Unit 2 ⏯ Getting started with Hive  - Preview
Module 5 HBase on Cloudera-
Unit 1 Write to HBase from Java  - Preview
Unit 2 Read from HBase in Java  - Preview
Unit 3 HBase shell commands to get, scan, and delete  - Preview
Unit 4 ⏯ Write to & read from HBase  - Preview
Module 6 Writing to & reading from Avro in Spark+
Unit 1 Write to an Avro file from a Spark job in local mode  - Preview
Unit 2 Read an Avro file from HDFS via a Spark job running in local mode  - Preview
Unit 3 ⏯ Write to & read from an Avro file on HDFS using Spark  - Preview
Unit 4 Write to HDFS as Avro from a Spark job using Avro IDL  - Preview
Unit 5 ⏯ Write to Avro using Avro IDL from a Spark job  - Preview
Unit 6 Create a Hive table over Avro data  - Preview
Unit 7 ⏯ Hive table over an Avro folder & avro-tools to generate the schema  - Preview
Module 7 Writing to & reading from Parquet in Spark+
Unit 1 Write to a Parquet file from a Spark job in local mode  - Preview
Unit 2 Read from a Parquet file in a Spark job running in local mode  - Preview
Unit 3 ⏯ Write to and read from Parquet data on HDFS via Spark  - Preview
Unit 4 Create a Hive table over Parquet data  - Preview
Unit 5 ⏯ Hive over Parquet data  - Preview
Module 8 Spark SQL+
Unit 1 Spark SQL read a Hive table  - Preview
Unit 2 Write to Parquet using Spark SQL & Dataframe  - Preview
Unit 3 Read from Parquet with Spark SQL & Dataframe  - Preview
Unit 4 ⏯ Spark SQL basics video tutorial  - Preview
Module 9 Spark streaming+
Unit 1 Spark streaming text files  - Preview
Unit 2 Spark file streaming in Java  - Preview
Unit 3 ⏯ Spark streaming video tutorial  - Preview
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