Presto is a distributed SQL query engine for big data.
See the User Manual for deployment instructions and end user documentation.
- Mac OS X or Linux
- Java 11, 64-bit
- Python 2.6+ (for running with the launcher script)
Presto is a standard Maven project. Simply run the following command from the project root directory:
./mvnw clean install
On the first build, Maven will download all the dependencies from the internet and cache them in the local repository (
~/.m2/repository), which can take a considerable amount of time. Subsequent builds will be faster.
Presto has a comprehensive set of unit tests that can take several minutes to run. You can disable the tests when building:
./mvnw clean install -DskipTests
Running Presto in your IDE
After building Presto for the first time, you can load the project into your IDE and run the server. We recommend using IntelliJ IDEA. Because Presto is a standard Maven project, you can import it into your IDE using the root
pom.xml file. In IntelliJ, choose Open Project from the Quick Start box or choose Open from the File menu and select the root
After opening the project in IntelliJ, double check that the Java SDK is properly configured for the project:
- Open the File menu and select Project Structure
- In the SDKs section, ensure that JDK 11 is selected (create one if none exist)
- In the Project section, ensure the Project language level is set to 8 (Presto does not yet use Java 11 language features)
Presto comes with sample configuration that should work out-of-the-box for development. Use the following options to create a run configuration:
- Main Class:
- VM Options:
-ea -XX:+UseG1GC -XX:G1HeapRegionSize=32M -XX:+UseGCOverheadLimit -XX:+ExplicitGCInvokesConcurrent -Xmx2G -Dconfig=etc/config.properties -Dlog.levels-file=etc/log.properties -Djdk.attach.allowAttachSelf=true
- Working directory:
- Use classpath of module:
The working directory should be the
presto-server-main subdirectory. In IntelliJ, using
$MODULE_DIR$ accomplishes this automatically.
Additionally, the Hive plugin must be configured with the location of your Hive metastore Thrift service. Add the following to the list of VM options, replacing
localhost:9083 with the correct host and port (or use the below value if you do not have a Hive metastore):
Using SOCKS for Hive or HDFS
If your Hive metastore or HDFS cluster is not directly accessible to your local machine, you can use SSH port forwarding to access it. Setup a dynamic SOCKS proxy with SSH listening on local port 1080:
ssh -v -N -D 1080 server
Then add the following to the list of VM options:
Running the CLI
Start the CLI to connect to the server and run SQL queries:
Run a query to see the nodes in the cluster:
SELECT * FROM system.runtime.nodes;
In the sample configuration, the Hive connector is mounted in the
hive catalog, so you can run the following queries to show the tables in the Hive database
SHOW TABLES FROM hive.default;
We recommend you use IntelliJ as your IDE. The code style template for the project can be found in the codestyle repository along with our general programming and Java guidelines. In addition to those you should also adhere to the following:
- Alphabetize sections in the documentation source files (both in the table of contents files and other regular documentation files). In general, alphabetize methods/variables/sections if such ordering already exists in the surrounding code.
- When appropriate, use the stream API. However, note that the stream implementation does not perform well so avoid using it in inner loops or otherwise performance sensitive sections.
- Categorize errors when throwing exceptions. For example, PrestoException takes an error code as an argument,
PrestoException(HIVE_TOO_MANY_OPEN_PARTITIONS). This categorization lets you generate reports so you can monitor the frequency of various failures.
- Ensure that all files have the appropriate license header; you can generate the license by running
- Consider using String formatting (printf style formatting using the Java
format("Session property %s is invalid: %s", name, value)(note that
format()should always be statically imported). Sometimes, if you only need to append something, consider using the
- Avoid using the ternary operator except for trivial expressions.
- Use an assertion from Airlift's
Assertionsclass if there is one that covers your case rather than writing the assertion by hand. Over time we may move over to more fluent assertions like AssertJ.
- When writing a Git commit message, follow these guidelines.
Additional IDE configuration
When using IntelliJ to develop Presto, we recommend starting with all of the default inspections, with some modifications.
Enable the following inspections:
Java | Internationalization | Implicit usage of platform's default charset,
Java | Class structure | Utility class is not 'final',
Java | Class structure | Utility class with 'public' constructor,
Java | Class structure | Utility class without 'private' constructor.
Disable the following inspections:
Java | Performance | Call to 'Arrays.asList()' with too few arguments,
Java | Abstraction issues | 'Optional' used as field or parameter type.
Building the Web UI
dist folder). You must have Node.js and Yarn installed to execute these commands. To update this folder after making changes, simply run:
yarn --cwd presto-main/src/main/resources/webapp/src install
package.json), it is faster to run:
yarn --cwd presto-main/src/main/resources/webapp/src run package
To simplify iteration, you can also run in
watch mode, which automatically re-compiles when changes to source files are detected:
yarn --cwd presto-main/src/main/resources/webapp/src run watch
To iterate quickly, simply re-build the project in IntelliJ after packaging is complete. Project resources will be hot-reloaded and changes are reflected on browser refresh.
Writing and Building Documentation
More information about the documentation process can be found in the README file in presto-docs.