ClickHouse Java Client & JDBC Driver

Java client and JDBC driver for ClickHouse. Java client is async, lightweight, and low-overhead library for ClickHouse; while JDBC driver is built on top of the Java client with more dependencies and extensions for JDBC-compliance.

Java 8 or higher is required in order to use Java client(clickhouse-client) and/or JDBC driver(clickhouse-jdbc). In addition, starting from 0.3.2, JDBC driver only works with ClickHouse 20.7 or above, so please consider to either downgrade the driver to 0.3.1-patch or upgrade server to one of active releases.

:exclamation: IMPORTANT

Maven groupId ru.yandex.clickhouse and legacy JDBC driver ru.yandex.clickhouse.ClickHouseDriver have been deprecated and no longer receive updates.

Please use new groupId com.clickhouse and driver com.clickhouse.jdbc.ClickHouseDriver instead. It's highly recommended to upgrade to 0.3.2+ now for improved performance and stability.

Note: in general, the new driver(v0.3.2) is a few times faster with less memory usage. More information can be found at here.

Features

Examples

Java Client

<dependency>
    <groupId>com.clickhouse</groupId>
    <!-- or clickhouse-grpc-client if you prefer gRPC -->
    <artifactId>clickhouse-http-client</artifactId>
    <version>0.3.2-patch11</version>
</dependency>

// endpoint: protocol://host[:port][/database][?param1=value1&param2=value2...][#tag1,tag2,...]
ClickHouseNode endpoint = ClickHouseNode.of("https://localhost"); // http://localhost:8443?ssl=true&sslmode=NONE
// endpoints: [defaultProtocol://]endpoint1[,endpoint2,endpoint3,...][/defaultDatabase][?defaultParameters][#efaultTags]
ClickHouseNodes endpoints = ClickHouseNodes.of("http://(https://[email protected]:443),localhost,(tcp://localhost?!auto_discovery#experimental),(grpc://localhost#experimental)?failover=3#test")

try (ClickHouseClient client = ClickHouseClient.newInstance(ClickHouseProtocol.HTTP);
    ClickHouseResponse response = client.connect(endpoint) // or client.connect(endpoints)
        // you'll have to parse response manually if using a different format
        .format(ClickHouseFormat.RowBinaryWithNamesAndTypes)
        .query("select * from numbers(:limit)")
        .params(1000).executeAndWait()) {
    // or response.stream() if you prefer stream API
    for (ClickHouseRecord r : response.records()) {
        int num = r.getValue(0).asInteger();
        // type conversion
        String str = r.getValue(0).asString();
        LocalDate date = r.getValue(0).asDate();
    }

    ClickHouseResponseSummary summary = response.getSummary();
    long totalRows = summary.getTotalRowsToRead();
}

JDBC Driver

<dependency>
    <!-- please stop using ru.yandex.clickhouse as it's been deprecated -->
    <groupId>com.clickhouse</groupId>
    <artifactId>clickhouse-jdbc</artifactId>
    <version>0.3.2-patch11</version>
    <!-- use uber jar with all dependencies included, change classifier to http for smaller jar -->
    <classifier>all</classifier>
    <exclusions>
        <exclusion>
            <groupId>*</groupId>
            <artifactId>*</artifactId>
        </exclusion>
    </exclusions>
</dependency>

// jdbc:(ch|clickhouse):[defaultProtocol://]endpoint1[,endpoint2,endpoint3,...][/defaultDatabase][?defaultParameters][#efaultTags]
String url = "jdbc:ch:https://play.clickhouse.com:443";
Properties properties = new Properties();
properties.setProperty("user", "explorer");
properties.setProperty("password", "");
// optional properties
properties.setProperty("client_name", "Agent #1");
...

ClickHouseDataSource dataSource = new ClickHouseDataSource(url, properties);
try (Connection conn = dataSource.getConnection();
    Statement stmt = conn.createStatement();
    ResultSet rs = stmt.executeQuery("show databases")) {
    ...
}

Build with Maven

Use mvn -DskipITs clean verify to compile and generate packages if you're using JDK 8. To create a multi-release jar (see JEP-238), please use JDK 11+ with ~/.m2/toolchains.xml like below, and run mvn -Drelease -DskipITs clean verify instead.

<?xml version="1.0" encoding="UTF8"?>
<toolchains>
    <toolchain>
        <type>jdk</type>
        <provides>
            <version>11</version>
        </provides>
        <configuration>
            <jdkHome>/usr/lib/jvm/java-11-openjdk</jdkHome>
        </configuration>
    </toolchain>
    <toolchain>
        <type>jdk</type>
        <provides>
            <version>17</version>
        </provides>
        <configuration>
            <jdkHome>/usr/lib/jvm/java-17-openjdk</jdkHome>
        </configuration>
    </toolchain>
</toolchains>

Testing

By default, docker is required to run integration test. Docker image(defaults to clickhouse/clickhouse-server) will be pulled from Internet, and containers will be created automatically by testcontainers before testing. To test against specific version of ClickHouse, you can pass parameter like -DclickhouseVersion=22.3 to Maven.

In the case you don't want to use docker and/or prefer to test against an existing server, please follow instructions below:

• make sure the server can be accessed using default account(user default and no password), which has both DDL and DML privileges
• add below two configuration files to the existing server and expose all defaults ports for external access
  • ports.xml - enable all ports
  • and users.xml - accounts used for integration test Note: you may need to change root element from clickhouse to yandex when testing old version of ClickHouse.
• make sure ClickHouse binary(usually /usr/bin/clickhouse) is available in PATH, as it's required to test clickhouse-cli-client
• put test.properties under either ~/.clickhouse or src/test/resources of your project, with content like below:

  clickhouseServer=x.x.x.x
  # below properties are only useful for test containers
  #clickhouseVersion=latest
  #clickhouseTimezone=UTC
  #clickhouseImage=clickhouse/clickhouse-server
  #additionalPackages=
  

Benchmark

To benchmark JDBC drivers:

cd clickhouse-benchmark
mvn -Drelease clean package
# single thread mode
java -DdbHost=localhost -jar target/benchmarks.jar -t 1 \
    -p client=clickhouse-jdbc -p connection=reuse \
    -p statement=prepared Query.selectInt8

It's time consuming to run all benchmarks against all drivers using different parameters for comparison. If you just need some numbers to understand performance, please refer to table below and some more details like CPU and memory usage mentioned at here(still have plenty of room to improve according to ranking at here).