MariaDB коннектор#
Примечание
Ниже приведена оригинальная документация Trino. Скоро мы ее переведем на русский язык и дополним полезными примерами.
The MariaDB connector allows querying and creating tables in an external MariaDB database.
Requirements#
To connect to MariaDB, you need:
MariaDB version 10.2 or higher.
Network access from the Trino coordinator and workers to MariaDB. Port 3306 is the default port.
Конфигурация#
To configure the MariaDB connector, create a catalog properties file
in etc/catalog
named, for example, mariadb.properties
, to
mount the MariaDB connector as the mariadb
catalog.
Create the file with the following contents, replacing the
connection properties as appropriate for your setup:
connector.name=mariadb
connection-url=jdbc:mariadb://example.net:3306
connection-user=root
connection-password=secret
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 to avoid actual values in the catalog
properties files.
Data source authentication#
The connector can provide credentials for the data source connection in multiple ways:
inline, in the connector configuration file
in a separate properties file
in a key store file
as extra credentials set when connecting to Trino
You can use secrets to avoid storing sensitive values in the catalog properties files.
The following table describes configuration properties for connection credentials:
Property name |
Description |
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Type of the credential provider. Must be one of |
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Connection user name. |
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Connection password. |
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Name of the extra credentials property, whose value to use as the user
name. See |
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Name of the extra credentials property, whose value to use as the password. |
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Location of the properties file where credentials are present. It must
contain the |
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The location of the Java Keystore file, from which to read credentials. |
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File format of the keystore file, for example |
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Password for the key store. |
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Name of the key store entity to use as the user name. |
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Password for the user name key store entity. |
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Name of the key store entity to use as the password. |
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Password for the password key store entity. |
General configuration properties#
The following table describes general catalog configuration properties for the connector:
Property name |
Description |
Default value |
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Support case insensitive schema and table names. |
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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. |
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Frequency with which Trino checks the name matching configuration file for changes. |
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Duration for which metadata, including table and column statistics, is cached. |
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Cache the fact that metadata, including table and column statistics, is not available |
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Maximum number of objects stored in the metadata cache |
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Maximum number of statements in a batched execution. Do not change this setting from the default. Non-default values may negatively impact performance. |
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Push down dynamic filters into JDBC queries |
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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. |
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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.
The domain-compaction-threshold
catalog configuration property or the
domain_compaction_threshold
catalog session property can be used to adjust the default value of
32
for this threshold.
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.
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.
Querying MariaDB#
The MariaDB connector provides a schema for every MariaDB database.
You can see the available MariaDB databases by running SHOW SCHEMAS
:
SHOW SCHEMAS FROM mariadb;
If you have a MariaDB database named web
, you can view the tables
in this database by running SHOW TABLES
:
SHOW TABLES FROM mariadb.web;
You can see a list of the columns in the clicks
table in the web
database using either of the following:
DESCRIBE mariadb.web.clicks;
SHOW COLUMNS FROM mariadb.web.clicks;
Finally, you can access the clicks
table in the web
database:
SELECT * FROM mariadb.web.clicks;
If you used a different name for your catalog properties file, use
that catalog name instead of mariadb
in the above examples.
Type mapping#
Because Trino and MariaDB each support types that the other does not, this connector modifies some types when reading or writing data. Data types may not map the same way in both directions between Trino and the data source. Refer to the following sections for type mapping in each direction.
MariaDB type to Trino type mapping#
The connector maps MariaDB types to the corresponding Trino types according to the following table:
MariaDB type |
Trino type |
Notes |
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MariaDB stores the current timestamp by default. Enable
explicit_defaults_for_timestamp
to avoid implicit default values and use |
No other types are supported.
Trino type mapping to MariaDB type mapping#
The connector maps Trino types to the corresponding MariaDB types according to the following table:
Trino type |
MariaDB type |
Notes |
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Maps on |
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Maps on |
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Maps on |
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MariaDB stores the current timestamp by default. Enable
explicit_defaults_for_timestamp
to avoid implicit default values and use |
No other types are supported.
Complete list of MariaDB data types.
Type mapping configuration properties#
The following properties can be used to configure how data types from the connected data source are mapped to Trino data types and how the metadata is cached in Trino.
Property name |
Description |
Default value |
---|---|---|
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Configure how unsupported column data types are handled:
The respective catalog session property is |
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Allow forced mapping of comma separated lists of data types to convert to
unbounded |
SQL support#
The connector provides read access and write access to data and metadata in a MariaDB database. In addition to the globally available and read operation statements, the connector supports the following features:
SQL DELETE#
If a WHERE
clause is specified, the DELETE
operation only works if the
predicate in the clause can be fully pushed down to the data source.
Table functions#
The connector provides specific table functions to access MariaDB.
query(varchar) -> table
#
The query
function allows you to query the underlying database directly. It
requires syntax native to MariaDB, because the full query is pushed down and
processed in MariaDB. This can be useful for accessing native features which are
not available in Trino or for improving query performance in situations where
running a query natively may be faster.
Примечание
Polymorphic table functions may not preserve the order of the query result.
If the table function contains a query with an ORDER BY
clause, the
function result may not be ordered as expected.
As an example, select the age of employees by using TIMESTAMPDIFF
and
CURDATE
:
SELECT
age
FROM
TABLE(
mariadb.system.query(
query => 'SELECT
TIMESTAMPDIFF(
YEAR,
date_of_birth,
CURDATE()
) AS age
FROM
tiny.employees'
)
);
Performance#
The connector includes a number of performance improvements, detailed in the following sections.
Pushdown#
The connector supports pushdown for a number of operations:
Aggregate pushdown for the following functions:
Predicate pushdown support#
The connector does not support pushdown of any predicates on columns with
textual 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';