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Ignite connector

Zipstack Cloud features a powerful SQL querying engine on top of many types of connectors, including those from Trino, some custom connectors and connectors from the open source Airbyte project. The underlying native connectors are Trino's connectors. Additionally, some parts of the documentation for these connectors have been adapted from the connector documentation found in Trino's open source project.

The Ignite connector allows querying an Apache Ignite database from Trino.

Requirements

To connect to a Ignite server, you need:

  • Ignite version 2.8.0 or latter

  • Network access from the Zipstack Cloud to the Ignite server. Port 10800 is the default port.

  • Specify --add-opens=java.base/java.nio=ALL-UNNAMED in the jvm.config when starting the Trino server.

Configuration

The Ignite connector expose public schema by default. The connector can query a Ignite instance. Create a catalog that specifies the Ignite connector as the type.

For example, to access an instance as example, create the file etc/catalog/example.properties. Replace the connection properties as appropriate for your setup:

connection-url=jdbc:ignite:thin://host1:10800/
connection-user=exampleuser
connection-password=examplepassword

The connection-url defines the connection information and parameters to pass to the Ignite JDBC driver. The parameters for the URL are available in the Ignite JDBC driver documentation. Some parameters can have adverse effects on the connector behavior or not work with the connector.

The connection-user and connection-password are typically required and determine the user credentials for the connection, often a service user. You can use secrets </security/secrets> to avoid actual values in the catalog properties files.

Multiple Ignite servers

If you have multiple Ignite servers you need to configure one catalog for each server. To add another catalog, create a new data source with type Ignite.

General configuration properties

The following table describes general catalog configuration properties for the connector:

Property nameDescriptionDefault value
case-insensitive-name-matchingSupport case insensitive schema and table names.false
case-insensitive-name-matching.cache-ttlThis value should be a duration.1m
case-insensitive-name-matching.config-filePath to a name mapping configuration file in JSON format that allows Trino to disambiguate between schemas and tables with similar names in different cases.null
case-insensitive-name-matching.config-file.refresh-periodFrequency with which Trino checks the name matching configuration file for changes. This value should be a duration.(refresh disabled)
metadata.cache-ttlThe duration for which metadata, including table and column statistics, is cached.0s (caching disabled)
metadata.cache-missingCache the fact that metadata, including table and column statistics, is not availablefalse
metadata.cache-maximum-sizeMaximum number of objects stored in the metadata cache10000
write.batch-sizeMaximum number of statements in a batched execution. Do not change this setting from the default. Non-default values may negatively impact performance.1000
dynamic-filtering.enabledPush down dynamic filters into JDBC queriestrue
dynamic-filtering.wait-timeoutMaximum duration for which Trino will wait for dynamic filters to be collected from the build side of joins before starting a JDBC query. Using a large timeout can potentially result in more detailed dynamic filters. However, it can also increase latency for some queries.20s

Domain compaction threshold

Pushing down a large list of predicates to the data source can compromise performance. Trino compacts large predicates into a simpler range predicate by default to ensure a balance between performance and predicate pushdown. If necessary, the threshold for this compaction can be increased to improve performance when the data source is capable of taking advantage of large predicates. Increasing this threshold may improve pushdown of large dynamic filters </admin/dynamic-filtering>. The domain-compaction-threshold catalog configuration property or the domain_compaction_threshold catalog session property <session-properties-definition> can be used to adjust the default value of 1000 for this threshold.

Procedures

  • system.flush_metadata_cache()

    Flush JDBC metadata caches. For example, the following system call flushes the metadata caches for all schemas in the example catalog

    USE example.example_schema;
    CALL system.flush_metadata_cache();

Case insensitive matching

When case-insensitive-name-matching is set to true, Trino is able to query non-lowercase schemas and tables by maintaining a mapping of the lowercase name to the actual name in the remote system. However, if two schemas and/or tables have names that differ only in case (such as \"customers\" and \"Customers\") then Trino fails to query them due to ambiguity.

In these cases, use the case-insensitive-name-matching.config-file catalog configuration property to specify a configuration file that maps these remote schemas/tables to their respective Trino schemas/tables:

{
"schemas": [
{
"remoteSchema": "CaseSensitiveName",
"mapping": "case_insensitive_1"
},
{
"remoteSchema": "cASEsENSITIVEnAME",
"mapping": "case_insensitive_2"
}],
"tables": [
{
"remoteSchema": "CaseSensitiveName",
"remoteTable": "tablex",
"mapping": "table_1"
},
{
"remoteSchema": "CaseSensitiveName",
"remoteTable": "TABLEX",
"mapping": "table_2"
}]
}

Queries against one of the tables or schemes defined in the mapping attributes are run against the corresponding remote entity. For example, a query against tables in the case_insensitive_1 schema is forwarded to the CaseSensitiveName schema and a query against case_insensitive_2 is forwarded to the cASEsENSITIVEnAME schema.

At the table mapping level, a query on case_insensitive_1.table_1 as configured above is forwarded to CaseSensitiveName.tablex, and a query on case_insensitive_1.table_2 is forwarded to CaseSensitiveName.TABLEX.

By default, when a change is made to the mapping configuration file, Trino must be restarted to load the changes. Optionally, you can set the case-insensitive-name-mapping.refresh-period to have Trino refresh the properties without requiring a restart:

case-insensitive-name-mapping.refresh-period=30s

Non-transactional INSERT

The connector supports adding rows using INSERT statements </sql/insert>. By default, data insertion is performed by writing data to a temporary table. You can skip this step to improve performance and write directly to the target table. Set the insert.non-transactional-insert.enabled catalog property or the corresponding non_transactional_insert catalog session property to true.

Note that with this property enabled, data can be corrupted in rare cases where exceptions occur during the insert operation. With transactions disabled, no rollback can be performed.

Table properties

Table property usage example:

CREATE TABLE public.person (
id bigint NOT NULL,
birthday DATE NOT NULL,
name VARCHAR(26),
age BIGINT,
logdate DATE
)
WITH (
primary_key = ARRAY['id', 'birthday']
);

The following are supported Ignite table properties from https://ignite.apache.org/docs/latest/sql-reference/ddl

Property nameRequiredDescription
primary_keyNoThe primary key of the table, can chose multi columns as the table primary key. Table at least contains one column not in primary key.

primary_key

This is a list of columns to be used as the table's primary key. If not specified, a VARCHAR primary key column named DUMMY_ID is generated, the value is derived from the value generated by the UUID function in Ignite.

Type mapping

The following are supported Ignite SQL data types from https://ignite.apache.org/docs/latest/sql-reference/data-types

Ignite SQL data type nameMap to Trino typePossible values
BOOLEANBOOLEANTRUE and FALSE
BIGINTBIGINT-9223372036854775808, 9223372036854775807, etc.
DECIMALDECIMALData type with fixed precision and scale
DOUBLEDOUBLE3.14, -10.24, etc.
INTINT-2147483648, 2147483647, etc.
REALREAL3.14, -10.24, etc.
SMALLINTSMALLINT-32768, 32767, etc.
TINYINTTINYINT-128, 127, etc.
CHARCHARhello, Trino, etc.
VARCHARVARCHARhello, Trino, etc.
DATEDATE1972-01-01, 2021-07-15, etc.
BINARYVARBINARYRepresents a byte array.

SQL support

The connector provides read access and write access to data and metadata in Ignite. In addition to the globally available <sql-globally-available> and read operation <sql-read-operations> statements, the connector supports the following features:

  • /sql/insert

  • /sql/create-table

  • /sql/create-table-as

  • /sql/drop-table

  • /sql/alter-table

ALTER TABLE

The connector does not support renaming tables across multiple schemas. For example, the following statement is supported:

ALTER TABLE example.schema_one.table_one RENAME TO example.schema_one.table_two

The following statement attempts to rename a table across schemas, and therefore is not supported:

ALTER TABLE example.schema_one.table_one RENAME TO example.schema_two.table_two

Pushdown

The connector supports pushdown for a number of operations:

  • limit-pushdown

  • topn-pushdown

Aggregate pushdown <aggregation-pushdown> for the following functions:

  • avg

  • count

  • max

  • min

  • sum

Predicate pushdown support

The connector does not support pushdown of any predicates on columns with textual types <string-data-types> like CHAR or VARCHAR. This ensures correctness of results since the data source may compare strings case-insensitively.

In the following example, the predicate is not pushed down for either query since name is a column of type VARCHAR:

SELECT * FROM nation WHERE name > 'CANADA';
SELECT * FROM nation WHERE name = 'CANADA';