Calcite-based SQL Engine | Ignite Documentation

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Calcite-based SQL Engine

Starting the 2.13 version, Apache Ignite includes a new SQL engine based on the Apache Calcite framework.

Apache Calcite is a dynamic data management framework, which mainly serves for mediating between applications, one or more data storage locations, and data processing engines. For more information on Apache Calcite, please see the product documentation.

The current H2-based SQL engine has a number of fundamental limitations of query execution in a distributed environment. To address these limitations, a new SQL engine was implemented. The new engine uses tools provided by Apache Calcite for parsing and planning queries. It also has a new query execution flow.

Caution
 The Calcite-based query engine is currently in beta status.

Calcite Module Libraries

To use a Calcite-based engine, please make sure that the Calcite module libraries are in a classpath.

Standalone Mode

When starting a standalone node, move optional/ignite-calcite folder to the libs folder before running ignite.{sh|bat} script. In this case, the content of the module folder is added to the classpath.

Maven Configuration

If you are using Maven to manage dependencies of your project, you can add Calcite module dependency as follows: Replace ${ignite.version} with the actual Apache Ignite version you are interested in:

<dependency>
    <groupId>org.apache.ignite</groupId>
    <artifactId>ignite-calcite</artifactId>
    <version>${ignite.version}</version>
</dependency>

Configuring Query Engines

To enable engine, add the explicit CalciteQueryEngineConfiguration instance to the SqlConfiguration.QueryEnginesConfiguration property.

Below is a configuration example of two configured query engines (H2-based and Calcite-based engines) where the Calcite-based engine is chosen as a default one:

<bean class="org.apache.ignite.configuration.IgniteConfiguration">
    <property name="sqlConfiguration">
        <bean class="org.apache.ignite.configuration.SqlConfiguration">
            <property name="queryEnginesConfiguration">
                <list>
                    <bean class="org.apache.ignite.indexing.IndexingQueryEngineConfiguration">
                        <property name="default" value="false"/>
                    </bean>
                    <bean class="org.apache.ignite.calcite.CalciteQueryEngineConfiguration">
                        <property name="default" value="true"/>
                    </bean>
                </list>
            </property>
        </bean>
    </property>
    ...
</bean>
IgniteConfiguration cfg = new IgniteConfiguration().setSqlConfiguration(
    new SqlConfiguration().setQueryEnginesConfiguration(
        new IndexingQueryEngineConfiguration(),
        new CalciteQueryEngineConfiguration().setDefault(true)
    )
);

Routing Queries to Query Engine

Normally, all queries are routed to the query engine that is configured by default. If more than one engine is configured through queryEnginesConfiguration, it’s possible to use another engine instead of the one configured default for individual queries or for the whole connection.

JDBC

To choose a query engine for the JDBC connection, use the queryEngine connection parameter:

jdbc:ignite:thin://127.0.0.1:10800?queryEngine=calcite

ODBC

To configure the query engine for the ODBC connection, use the QUERY_ENGINE property:

[IGNITE_CALCITE]
DRIVER={Apache Ignite};
SERVER=127.0.0.1;
PORT=10800;
SCHEMA=PUBLIC;
QUERY_ENGINE=CALCITE

QUERY_ENGINE Hint

To select a particular engine to run individual queries, use the QUERY_ENGINE hint:

SELECT /*+ QUERY_ENGINE('calcite') */ fld FROM table;

SQL Reference

DDL

Data definition language (DDL) statements are compliant with the old H2-based engine. You can find the DDL syntax description here.

DML

The new SQL engine mostly inherits data manipulation language (DML) statements syntax from the Apache Calcite framework. See the Apache Calcite SQL grammar description here.

In most cases, statement syntax is compliant with the old SQL engine. But there are still some differences between DML dialects in H2-based engine and Calcite-based engine. For example, note the MERGE statement syntax has changed.

Supported Functions

The Calcite-based SQL engine currently supports:

Group Functions list

Aggregate functions

COUNT, SUM, AVG, MIN, MAX, ANY_VALUE, LISTAGG, GROUP_CONCAT, STRING_AGG, ARRAY_AGG, ARRAY_CONCAT_AGG, EVERY, SOME

String functions

UPPER, LOWER, INITCAP, TO_BASE64, FROM_BASE64, MD5, SHA1, SUBSTRING, LEFT, RIGHT, REPLACE, TRANSLATE, CHR, CHAR_LENGTH, CHARACTER_LENGTH, LENGTH, CONCAT, OVERLAY, POSITION, ASCII, REPEAT, SPACE, STRCMP, SOUNDEX, DIFFERENCE, REVERSE, TRIM, LTRIM, RTRIM, REGEXP_REPLACE

Math functions

MOD, EXP, POWER, LN, LOG10, ABS, RAND, RAND_INTEGER, ACOS, ASIN, ATAN, ATAN2, SQRT, CBRT, COS, COSH, COT, DEGREES, RADIANS, ROUND, SIGN, SIN, SINH, TAN, TANH, TRUNCATE, PI

Date and time functions

EXTRACT, FLOOR, CEIL, TIMESTAMPADD, TIMESTAMPDIFF, LAST_DATE, DAYNAME, MONTHNAME, DAYOFMONTH, DAYOFWEEK, DAYOFYEAR, YEAR, QUARTER, MONTH, WEEK, HOUR, MINUTE, SECOND, TIMESTAMP_SECONDS, TIMESTAMP_MILLIS, TIMESTAMP_MICROS, UNIX_SECONDS, UNIX_MILLIS, UNIX_MICROS, UNIX_DATE, DATE_FROM_UNIX_DATE, DATE, CURRENT_TIME, CURRENT_TIMESTAMP, CURRENT_DATE, LOCALTIME, LOCALTIMESTAMP

XML functions

EXTRACTVALUE, XMLTRANSFORM, EXTRACT, EXISTSNODE

JSON functions

JSON_VALUE, JSON_QUERY, JSON_TYPE, JSON_EXISTS, JSON_DEPTH, JSON_KEYS, JSON_PRETTY, JSON_LENGTH, JSON_REMOVE, JSON_STORAGE_SIZE, JSON_OBJECT, JSON_ARRAY

Other functions

ROW, CAST, COALESCE, NVL, NULLIF, CASE, DECODE, LEAST, GREATEST, COMPRESS, OCTET_LENGTH, TYPEOF, QUERY_ENGINE

For more information on these functions, please see the Apache Calcite SQL language reference.

Supported Data Types

Below are the data types supported by the Calcite-based SQL engine:

Data type Mapped to Java class

BOOLEAN

java.lang.Boolean

DECIMAL

java.math.BigDecimal

DOUBLE

java.lang.Double

REAL/FLOAT

java.lang.Float

INT

java.lang.Integer

BIGINT

java.lang.Long

SMALLINT

java.lang.Short

TINYINT

java.lang.Byte

CHAR/VARCHAR

java.lang.String

DATE

java.sql.Date

TIME

java.sql.Time

TIMESTAMP

java.sql.Timestamp

INTERVAL YEAR TO MONTH

java.time.Period

INTERVAL DAY TO SECOND

java.time.Duration

BINARY/VARBINARY

byte[]

UUID

java.util.UUID

OTHER

java.lang.Object
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