Last updated: 2019-07-26 17:49:01PDF
Presto is a distributed SQL query engine developed by Facebook that is designed to perform high-speed, real-time data analytics for interactive analytical queries of gigabytes to petabytes of data. It supports standard ANSI SQL, including complex queries, aggregations, joins, and window functions. Implemented by Java, it supports various data sources such as Hive, HBase, relational databases, and even proprietary data stores. Below is its architecture diagram:
Presto adopts a distributed system running on multiple servers in a master-slave architecture, which consists of one master node (Coordinator) and multiple slave nodes (Worker). The client (Presto CLI) is responsible for submitting a query to the Coordinator node which is responsible for parsing the SQL statement, generating the query execution plan, and managing the Worker nodes. A Worker node is responsible for actually executing the query task.
Presto on EMR is pre-configured with connectors such as Hive, MySQL, and Kafka. In this section, the Hive connector is used as an example to illustrate how Presto reads the data in a Hive table for query. The EMR cluster is configured with environment variables related to presto-client, so you can switch directly to the Hadoop user and use Presto CLI.
1. Preparations for Development
- Confirm that you have activated Tencent Cloud and created an EMR cluster. When creating the EMR cluster, select the Presto component on the software configuration page.
- Relevant software programs such as Presto are installed in the
/usr/local/service/directory of the CVM instance for the EMR cluster.
2. Using a Connector to Manipulate Hive
First, log in to any node (preferably a master one) in the EMR cluster. For more information about how to log in to EMR, see Logging in to a Linux Instance. Here, you can use WebShell to log in. Click Login button on the right of the desired CVM instance and then enter the login page. The default username is root, and the password is the one you set when you created the EMR cluster. Once your credentials have been validated, you can access the command-line interface.
Run the following command in EMR command-line interface to switch to the Hadoop user and go to the Presto folder:
[root@172 ~]# su Hadoop [hadoop@172 ~]# cd /usr/local/service/presto
View the value of uri in the
etc/config.properties configuration file:
[hadoop@172 presto]$ vim etc/config.properties http-server.http.port=$port discovery.uri=http://$host:$port
Here, $host is your host address, and $port is your port number. Then, switch to the presto-client folder and connect to Hive using Presto:
[hadoop@172 presto]# cd /usr/local/service/presto-client [hadoop@172 presto-client]$ ./presto --server $host:$port --catalog hive --schema default
Here, --catalog indicates the type of database to be manipulated, and --schema the database name (the default database "default" is entered here). For more information about the parameters, run the
presto –h command or see the official documentation.
After successful execution, you can enter the Presto interface and go directly to the specified database. You can use Hive-SQL to view the table in the Hive database:
presto:default> show tables; Table --------------- hive_from_cos test (2 rows) Query 20180702_140619_00006_c4qzg, FINISHED, 2 nodes Splits: 2 total, 2 done (100.00%) 0:00 [3 rows, 86B] [17 rows/s, 508B/s]
The table hive_from_cos is the one created in the Hive Development Guide.
For more information about Presto usage, see the official documentation.