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43 | Sources of External Dictionaries |
Sources of External Dictionaries
An external dictionary can be connected from many different sources.
If dictionary is configured using xml-file, the configuration looks like this:
<yandex>
<dictionary>
...
<source>
<source_type>
<!-- Source configuration -->
</source_type>
</source>
...
</dictionary>
...
</yandex>
In case of DDL-query, equal configuration will looks like:
CREATE DICTIONARY dict_name (...)
...
SOURCE(SOURCE_TYPE(param1 val1 ... paramN valN)) -- Source configuration
...
The source is configured in the source
section.
For source types Local file, Executable file, HTTP(s), ClickHouse optional settings are available:
<source>
<file>
<path>/opt/dictionaries/os.tsv</path>
<format>TabSeparated</format>
</file>
<settings>
<format_csv_allow_single_quotes>0</format_csv_allow_single_quotes>
</settings>
</source>
or
SOURCE(FILE(path '/opt/dictionaries/os.tsv' format 'TabSeparated'))
SETTINGS(format_csv_allow_single_quotes = 0)
Types of sources (source_type
):
Local File
Example of settings:
<source>
<file>
<path>/opt/dictionaries/os.tsv</path>
<format>TabSeparated</format>
</file>
</source>
or
SOURCE(FILE(path '/opt/dictionaries/os.tsv' format 'TabSeparated'))
Setting fields:
path
– The absolute path to the file.format
– The file format. All the formats described in “Formats” are supported.
Executable File
Working with executable files depends on how the dictionary is stored in memory. If the dictionary is stored using cache
and complex_key_cache
, ClickHouse requests the necessary keys by sending a request to the executable file’s STDIN. Otherwise, ClickHouse starts executable file and treats its output as dictionary data.
Example of settings:
<source>
<executable>
<command>cat /opt/dictionaries/os.tsv</command>
<format>TabSeparated</format>
</executable>
</source>
or
SOURCE(EXECUTABLE(command 'cat /opt/dictionaries/os.tsv' format 'TabSeparated'))
Setting fields:
command
– The absolute path to the executable file, or the file name (if the program directory is written toPATH
).format
– The file format. All the formats described in “Formats” are supported.
Http(s)
Working with an HTTP(s) server depends on how the dictionary is stored in memory. If the dictionary is stored using cache
and complex_key_cache
, ClickHouse requests the necessary keys by sending a request via the POST
method.
Example of settings:
<source>
<http>
<url>http://[::1]/os.tsv</url>
<format>TabSeparated</format>
<credentials>
<user>user</user>
<password>password</password>
</credentials>
<headers>
<header>
<name>API-KEY</name>
<value>key</value>
</header>
</headers>
</http>
</source>
or
SOURCE(HTTP(
url 'http://[::1]/os.tsv'
format 'TabSeparated'
credentials(user 'user' password 'password')
headers(header(name 'API-KEY' value 'key'))
))
In order for ClickHouse to access an HTTPS resource, you must configure openSSL in the server configuration.
Setting fields:
url
– The source URL.format
– The file format. All the formats described in “Formats” are supported.credentials
– Basic HTTP authentication. Optional parameter.user
– Username required for the authentication.password
– Password required for the authentication.
headers
– All custom HTTP headers entries used for the HTTP request. Optional parameter.header
– Single HTTP header entry.name
– Identifiant name used for the header send on the request.value
– Value set for a specific identifiant name.
ODBC
You can use this method to connect any database that has an ODBC driver.
Example of settings:
<source>
<odbc>
<db>DatabaseName</db>
<table>ShemaName.TableName</table>
<connection_string>DSN=some_parameters</connection_string>
<invalidate_query>SQL_QUERY</invalidate_query>
</odbc>
</source>
or
SOURCE(ODBC(
db 'DatabaseName'
table 'SchemaName.TableName'
connection_string 'DSN=some_parameters'
invalidate_query 'SQL_QUERY'
))
Setting fields:
db
– Name of the database. Omit it if the database name is set in the<connection_string>
parameters.table
– Name of the table and schema if exists.connection_string
– Connection string.invalidate_query
– Query for checking the dictionary status. Optional parameter. Read more in the section Updating dictionaries.
ClickHouse receives quoting symbols from ODBC-driver and quote all settings in queries to driver, so it’s necessary to set table name accordingly to table name case in database.
If you have a problems with encodings when using Oracle, see the corresponding F.A.Q. item.
Known Vulnerability of the ODBC Dictionary Functionality
!!! attention "Attention"
When connecting to the database through the ODBC driver connection parameter Servername
can be substituted. In this case values of USERNAME
and PASSWORD
from odbc.ini
are sent to the remote server and can be compromised.
Example of insecure use
Let’s configure unixODBC for PostgreSQL. Content of /etc/odbc.ini
:
[gregtest]
Driver = /usr/lib/psqlodbca.so
Servername = localhost
PORT = 5432
DATABASE = test_db
#OPTION = 3
USERNAME = test
PASSWORD = test
If you then make a query such as
SELECT * FROM odbc('DSN=gregtest;Servername=some-server.com', 'test_db');
ODBC driver will send values of USERNAME
and PASSWORD
from odbc.ini
to some-server.com
.
Example of Connecting Postgresql
Ubuntu OS.
Installing unixODBC and the ODBC driver for PostgreSQL:
$ sudo apt-get install -y unixodbc odbcinst odbc-postgresql
Configuring /etc/odbc.ini
(or ~/.odbc.ini
):
[DEFAULT]
Driver = myconnection
[myconnection]
Description = PostgreSQL connection to my_db
Driver = PostgreSQL Unicode
Database = my_db
Servername = 127.0.0.1
UserName = username
Password = password
Port = 5432
Protocol = 9.3
ReadOnly = No
RowVersioning = No
ShowSystemTables = No
ConnSettings =
The dictionary configuration in ClickHouse:
<yandex>
<dictionary>
<name>table_name</name>
<source>
<odbc>
<!-- You can specify the following parameters in connection_string: -->
<!-- DSN=myconnection;UID=username;PWD=password;HOST=127.0.0.1;PORT=5432;DATABASE=my_db -->
<connection_string>DSN=myconnection</connection_string>
<table>postgresql_table</table>
</odbc>
</source>
<lifetime>
<min>300</min>
<max>360</max>
</lifetime>
<layout>
<hashed/>
</layout>
<structure>
<id>
<name>id</name>
</id>
<attribute>
<name>some_column</name>
<type>UInt64</type>
<null_value>0</null_value>
</attribute>
</structure>
</dictionary>
</yandex>
or
CREATE DICTIONARY table_name (
id UInt64,
some_column UInt64 DEFAULT 0
)
PRIMARY KEY id
SOURCE(ODBC(connection_string 'DSN=myconnection' table 'postgresql_table'))
LAYOUT(HASHED())
LIFETIME(MIN 300 MAX 360)
You may need to edit odbc.ini
to specify the full path to the library with the driver DRIVER=/usr/local/lib/psqlodbcw.so
.
Example of Connecting MS SQL Server
Ubuntu OS.
Installing the driver: :
$ sudo apt-get install tdsodbc freetds-bin sqsh
Configuring the driver:
$ cat /etc/freetds/freetds.conf
...
[MSSQL]
host = 192.168.56.101
port = 1433
tds version = 7.0
client charset = UTF-8
$ cat /etc/odbcinst.ini
...
[FreeTDS]
Description = FreeTDS
Driver = /usr/lib/x86_64-linux-gnu/odbc/libtdsodbc.so
Setup = /usr/lib/x86_64-linux-gnu/odbc/libtdsS.so
FileUsage = 1
UsageCount = 5
$ cat ~/.odbc.ini
...
[MSSQL]
Description = FreeTDS
Driver = FreeTDS
Servername = MSSQL
Database = test
UID = test
PWD = test
Port = 1433
Configuring the dictionary in ClickHouse:
<yandex>
<dictionary>
<name>test</name>
<source>
<odbc>
<table>dict</table>
<connection_string>DSN=MSSQL;UID=test;PWD=test</connection_string>
</odbc>
</source>
<lifetime>
<min>300</min>
<max>360</max>
</lifetime>
<layout>
<flat />
</layout>
<structure>
<id>
<name>k</name>
</id>
<attribute>
<name>s</name>
<type>String</type>
<null_value></null_value>
</attribute>
</structure>
</dictionary>
</yandex>
or
CREATE DICTIONARY test (
k UInt64,
s String DEFAULT ''
)
PRIMARY KEY k
SOURCE(ODBC(table 'dict' connection_string 'DSN=MSSQL;UID=test;PWD=test'))
LAYOUT(FLAT())
LIFETIME(MIN 300 MAX 360)
DBMS
Mysql
Example of settings:
<source>
<mysql>
<port>3306</port>
<user>clickhouse</user>
<password>qwerty</password>
<replica>
<host>example01-1</host>
<priority>1</priority>
</replica>
<replica>
<host>example01-2</host>
<priority>1</priority>
</replica>
<db>db_name</db>
<table>table_name</table>
<where>id=10</where>
<invalidate_query>SQL_QUERY</invalidate_query>
</mysql>
</source>
or
SOURCE(MYSQL(
port 3306
user 'clickhouse'
password 'qwerty'
replica(host 'example01-1' priority 1)
replica(host 'example01-2' priority 1)
db 'db_name'
table 'table_name'
where 'id=10'
invalidate_query 'SQL_QUERY'
))
Setting fields:
-
port
– The port on the MySQL server. You can specify it for all replicas, or for each one individually (inside<replica>
). -
user
– Name of the MySQL user. You can specify it for all replicas, or for each one individually (inside<replica>
). -
password
– Password of the MySQL user. You can specify it for all replicas, or for each one individually (inside<replica>
). -
replica
– Section of replica configurations. There can be multiple sections.- `replica/host` – The MySQL host. - `replica/priority` – The replica priority. When attempting to connect, ClickHouse traverses the replicas in order of priority. The lower the number, the higher the priority.
-
db
– Name of the database. -
table
– Name of the table. -
where
– The selection criteria. The syntax for conditions is the same as forWHERE
clause in MySQL, for example,id > 10 AND id < 20
. Optional parameter. -
invalidate_query
– Query for checking the dictionary status. Optional parameter. Read more in the section Updating dictionaries.
MySQL can be connected on a local host via sockets. To do this, set host
and socket
.
Example of settings:
<source>
<mysql>
<host>localhost</host>
<socket>/path/to/socket/file.sock</socket>
<user>clickhouse</user>
<password>qwerty</password>
<db>db_name</db>
<table>table_name</table>
<where>id=10</where>
<invalidate_query>SQL_QUERY</invalidate_query>
</mysql>
</source>
or
SOURCE(MYSQL(
host 'localhost'
socket '/path/to/socket/file.sock'
user 'clickhouse'
password 'qwerty'
db 'db_name'
table 'table_name'
where 'id=10'
invalidate_query 'SQL_QUERY'
))
ClickHouse
Example of settings:
<source>
<clickhouse>
<host>example01-01-1</host>
<port>9000</port>
<user>default</user>
<password></password>
<db>default</db>
<table>ids</table>
<where>id=10</where>
</clickhouse>
</source>
or
SOURCE(CLICKHOUSE(
host 'example01-01-1'
port 9000
user 'default'
password ''
db 'default'
table 'ids'
where 'id=10'
))
Setting fields:
host
– The ClickHouse host. If it is a local host, the query is processed without any network activity. To improve fault tolerance, you can create a Distributed table and enter it in subsequent configurations.port
– The port on the ClickHouse server.user
– Name of the ClickHouse user.password
– Password of the ClickHouse user.db
– Name of the database.table
– Name of the table.where
– The selection criteria. May be omitted.invalidate_query
– Query for checking the dictionary status. Optional parameter. Read more in the section Updating dictionaries.
Mongodb
Example of settings:
<source>
<mongodb>
<host>localhost</host>
<port>27017</port>
<user></user>
<password></password>
<db>test</db>
<collection>dictionary_source</collection>
</mongodb>
</source>
or
SOURCE(MONGO(
host 'localhost'
port 27017
user ''
password ''
db 'test'
collection 'dictionary_source'
))
Setting fields:
host
– The MongoDB host.port
– The port on the MongoDB server.user
– Name of the MongoDB user.password
– Password of the MongoDB user.db
– Name of the database.collection
– Name of the collection.
Redis
Example of settings:
<source>
<redis>
<host>localhost</host>
<port>6379</port>
<storage_type>simple</storage_type>
<db_index>0</db_index>
</redis>
</source>
or
SOURCE(REDIS(
host 'localhost'
port 6379
storage_type 'simple'
db_index 0
))
Setting fields:
host
– The Redis host.port
– The port on the Redis server.storage_type
– The structure of internal Redis storage using for work with keys.simple
is for simple sources and for hashed single key sources,hash_map
is for hashed sources with two keys. Ranged sources and cache sources with complex key are unsupported. May be omitted, default value issimple
.db_index
– The specific numeric index of Redis logical database. May be omitted, default value is 0.
Cassandra
Example of settings:
<source>
<cassandra>
<host>localhost</host>
<port>9042</port>
<user>username</user>
<password>qwerty123</password>
<keyspase>database_name</keyspase>
<column_family>table_name</column_family>
<allow_filering>1</allow_filering>
<partition_key_prefix>1</partition_key_prefix>
<consistency>One</consistency>
<where>"SomeColumn" = 42</where>
<max_threads>8</max_threads>
</cassandra>
</source>
Setting fields:
host
– The Cassandra host or comma-separated list of hosts.port
– The port on the Cassandra servers. If not specified, default port is used.user
– Name of the Cassandra user.password
– Password of the Cassandra user.keyspace
– Name of the keyspace (database).column_family
– Name of the column family (table).allow_filering
– Flag to allow or not potentially expensive conditions on clustering key columns. Default value is 1.partition_key_prefix
– Number of partition key columns in primary key of the Cassandra table. Required for compose key dictionaries. Order of key columns in the dictionary definition must be the same as in Cassandra. Default value is 1 (the first key column is a partition key and other key columns are clustering key).consistency
– Consistency level. Possible values:One
,Two
,Three
,All
,EachQuorum
,Quorum
,LocalQuorum
,LocalOne
,Serial
,LocalSerial
. Default isOne
.where
– Optional selection criteria.max_threads
– The maximum number of threads to use for loading data from multiple partitions in compose key dictionaries.