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-UNNAMEDin thejvm.configwhen 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 name | Description | Default value |
|---|---|---|
case-insensitive-name-matching | Support case insensitive schema and table names. | false |
case-insensitive-name-matching.cache-ttl | This value should be a duration. | 1m |
case-insensitive-name-matching.config-file | Path 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-period | Frequency with which Trino checks the name matching configuration file for changes. This value should be a duration. | (refresh disabled) |
metadata.cache-ttl | The duration for which metadata, including table and column statistics, is cached. | 0s (caching disabled) |
metadata.cache-missing | Cache the fact that metadata, including table and column statistics, is not available | false |
metadata.cache-maximum-size | Maximum number of objects stored in the metadata cache | 10000 |
write.batch-size | Maximum 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.enabled | Push down dynamic filters into JDBC queries | true |
dynamic-filtering.wait-timeout | Maximum 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
examplecatalogUSE 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 name | Required | Description |
|---|---|---|
primary_key | No | The 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 name | Map to Trino type | Possible values |
|---|---|---|
BOOLEAN | BOOLEAN | TRUE and FALSE |
BIGINT | BIGINT | -9223372036854775808, 9223372036854775807, etc. |
DECIMAL | DECIMAL | Data type with fixed precision and scale |
DOUBLE | DOUBLE | 3.14, -10.24, etc. |
INT | INT | -2147483648, 2147483647, etc. |
REAL | REAL | 3.14, -10.24, etc. |
SMALLINT | SMALLINT | -32768, 32767, etc. |
TINYINT | TINYINT | -128, 127, etc. |
CHAR | CHAR | hello, Trino, etc. |
VARCHAR | VARCHAR | hello, Trino, etc. |
DATE | DATE | 1972-01-01, 2021-07-15, etc. |
BINARY | VARBINARY | Represents 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-pushdowntopn-pushdown
Aggregate pushdown <aggregation-pushdown> for the following functions:
avgcountmaxminsum
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';