Apache Drill

https://www.tutorialspoint.com/apache_drill/apache_drill_querying_data_using_hbase.htm

HBase is a distributed column-oriented database built on top of the Hadoop file system. It is a part of the Hadoop ecosystem that provides random real-time read/write access to data in the Hadoop File System.One can store the data in HDFS either directly or through HBase.

The following steps are used to query HBase data in Apache Drill.

How to Start Hadoop and HBase?

Step 1: Prerequisites

Before moving on to querying HBase data, you must need to install the following −

• Java installed version 1.7 or greater
• Hadoop
• HBase

Step 2: Enable Storage Plugin

After successful installation navigate to Apache Drill web console and select the storage menu option as shown in the following screenshot.

 

Then choose HBase Enable option, after that go to the update option and now you will see the response as shown in the following program.

{
   "type": "hbase",
   "config": {
      "hbase.zookeeper.quorum": "localhost",
      "hbase.zookeeper.property.clientPort": "2181"
   },
   "size.calculator.enabled": false,
   "enabled": true
}

Here the config settings “hbase.zookeeper.property.clientPort” : “2181” indicates ZooKeeper port id.

In the embedded mode, it will automatically assign it to the ZooKeeper, but in the distributed mode, you must specify the ZooKeeper port id’s separately.

Now, HBase plugin is enabled in Apache Drill.

Step 3: Start Hadoop and HBase

After enabling the plugin, first start your Hadoop server then start HBase.

Creating a Table Using HBase Shell

After Hadoop and HBase has been started, you can start the HBase interactive shell using “hbase shell” command as shown in the following query.

Query

/bin/hbase shell

Then you will see the response as shown in the following program.

Result

hbase(main):001:0>

To query HBase, you should complete the following steps −

Create a Table

Pipe the following commands to the HBase shell to create a “customer” table.

Query

hbase(main):001:0> create 'customers','account','address'

Load Data into the Table

Create a simple text file named “hbase-customers.txt” as shown in the following program.

Example

Example

put 'customers','Alice','account:name','Alice'
put 'customers','Alice','address:street','123 Ballmer Av'
put 'customers','Alice','address:zipcode','12345'
put 'customers','Alice','address:state','CA'
put 'customers','Bob','account:name','Bob'
put 'customers','Bob','address:street','1 Infinite Loop'
put 'customers','Bob','address:zipcode','12345'
put 'customers','Bob','address:state','CA'
put 'customers','Frank','account:name','Frank'
put 'customers','Frank','address:street','435 Walker Ct'
put 'customers','Frank','address:zipcode','12345'
put 'customers','Frank','address:state','CA'
put 'customers','Mary','account:name','Mary'
put 'customers','Mary','address:street','56 Southern Pkwy'
put 'customers','Mary','address:zipcode','12345'
put 'customers','Mary','address:state','CA'

Now, issue the following command in hbase shell to load the data into a table.

Query

hbase(main):001:0> cat ../drill_sample/hbase/hbase-customers.txt | bin/hbase shell

Query

Now switch to Apache Drill shell and issue the following command.

0: jdbc:drill:zk = local> select * from hbase.customers;

Result

+------------+---------------------+---------------------------------------------------------------------------+
|  row_key   |        account      |                              address                                      |
+------------+---------------------+---------------------------------------------------------------------------+
| 416C696365 | {"name":"QWxpY2U="} | {"state":"Q0E=","street":"MTIzIEJhbGxtZXIgQXY=","zipcode":"MTIzNDU="}     |
| 426F62     | {"name":"Qm9i"}     | {"state":"Q0E=","street":"MSBJbmZpbml0ZSBMb29w","zipcode":"MTIzNDU="}     |
| 4672616E6B | {"name":"RnJhbms="} | {"state":"Q0E=","street":"NDM1IFdhbGtlciBDdA==","zipcode":"MTIzNDU="}     |
| 4D617279   | {"name":"TWFyeQ=="} | {"state":"Q0E=","street":"NTYgU291dGhlcm4gUGt3eQ==","zipcode":"MTIzNDU="} |
+------------+---------------------+---------------------------------------------------------------------------+

The output will be 4 rows selected in 1.211 seconds.

Apache Drill fetches the HBase data as a binary format, which we can convert into readable data using CONVERT_FROM function available in drill. Check and use the following query to get proper data from drill.

Query

0: jdbc:drill:zk = local> SELECT CONVERT_FROM(row_key, 'UTF8') AS customer_id,
. . . . . . . . . . . > CONVERT_FROM(customers.account.name, 'UTF8') AS customers_name,
. . . . . . . . . . . > CONVERT_FROM(customers.address.state, 'UTF8') AS customers_state,
. . . . . . . . . . . > CONVERT_FROM(customers.address.street, 'UTF8') AS customers_street,
. . . . . . . . . . . > CONVERT_FROM(customers.address.zipcode, 'UTF8') AS customers_zipcode
. . . . . . . . . . . > FROM hbase.customers;

Result

+--------------+----------------+-----------------+------------------+--------------------+
| customer_id  | customers_name | customers_state | customers_street | customers_zipcode  |
+--------------+----------------+-----------------+------------------+--------------------+
|    Alice     |     Alice      |       CA        | 123 Ballmer Av   |     12345          |
|    Bob       |     Bob        |       CA        | 1 Infinite Loop  |     12345          |
|    Frank     |     Frank      |       CA        | 435 Walker Ct    |     12345          |
|    Mary      |     Mary       |       CA        | 56 Southern Pkwy |     12345          |
+--------------+----------------+-----------------+------------------+--------------------+