7.5 KiB
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44 | Dictionary Key and Fields |
Dictionary Key and Fields
The <structure>
clause describes the dictionary key and fields available for queries.
XML description:
<dictionary>
<structure>
<id>
<name>Id</name>
</id>
<attribute>
<!-- Attribute parameters -->
</attribute>
...
</structure>
</dictionary>
Attributes are described in the elements:
<id>
— Key column.<attribute>
— Data column. There can be a multiple number of attributes.
DDL query:
CREATE DICTIONARY dict_name (
Id UInt64,
-- attributes
)
PRIMARY KEY Id
...
Attributes are described in the query body:
PRIMARY KEY
— Key columnAttrName AttrType
— Data column. There can be a multiple number of attributes.
Key
ClickHouse supports the following types of keys:
- Numeric key.
UInt64
. Defined in the<id>
tag or usingPRIMARY KEY
keyword. - Composite key. Set of values of different types. Defined in the tag
<key>
orPRIMARY KEY
keyword.
An xml structure can contain either <id>
or <key>
. DDL-query must contain single PRIMARY KEY
.
!!! warning "Warning" You must not describe key as an attribute.
Numeric Key
Type: UInt64
.
Configuration example:
<id>
<name>Id</name>
</id>
Configuration fields:
name
– The name of the column with keys.
For DDL-query:
CREATE DICTIONARY (
Id UInt64,
...
)
PRIMARY KEY Id
...
PRIMARY KEY
– The name of the column with keys.
Composite Key
The key can be a tuple
from any types of fields. The layout in this case must be complex_key_hashed
or complex_key_cache
.
!!! tip "Tip" A composite key can consist of a single element. This makes it possible to use a string as the key, for instance.
The key structure is set in the element <key>
. Key fields are specified in the same format as the dictionary attributes. Example:
<structure>
<key>
<attribute>
<name>field1</name>
<type>String</type>
</attribute>
<attribute>
<name>field2</name>
<type>UInt32</type>
</attribute>
...
</key>
...
or
CREATE DICTIONARY (
field1 String,
field2 String
...
)
PRIMARY KEY field1, field2
...
For a query to the dictGet*
function, a tuple is passed as the key. Example: dictGetString('dict_name', 'attr_name', tuple('string for field1', num_for_field2))
.
Attributes
Configuration example:
<structure>
...
<attribute>
<name>Name</name>
<type>ClickHouseDataType</type>
<null_value></null_value>
<expression>rand64()</expression>
<hierarchical>true</hierarchical>
<injective>true</injective>
<is_object_id>true</is_object_id>
</attribute>
</structure>
or
CREATE DICTIONARY somename (
Name ClickHouseDataType DEFAULT '' EXPRESSION rand64() HIERARCHICAL INJECTIVE IS_OBJECT_ID
)
Configuration fields:
Tag | Description | Required |
---|---|---|
name |
Column name. | Yes |
type |
ClickHouse data type. ClickHouse tries to cast value from dictionary to the specified data type. For example, for MySQL, the field might be TEXT , VARCHAR , or BLOB in the MySQL source table, but it can be uploaded as String in ClickHouse.Nullable is not supported. |
Yes |
null_value |
Default value for a non-existing element. In the example, it is an empty string. You cannot use NULL in this field. |
Yes |
expression |
Expression that ClickHouse executes on the value. The expression can be a column name in the remote SQL database. Thus, you can use it to create an alias for the remote column. Default value: no expression. |
No |
hierarchical |
If true , the attribute contains the value of a parent key for the current key. See Hierarchical Dictionaries.Default value: false . |
No |
injective |
Flag that shows whether the id -> attribute image is injective.If true , ClickHouse can automatically place after the GROUP BY clause the requests to dictionaries with injection. Usually it significantly reduces the amount of such requests.Default value: false . |
No |
is_object_id |
Flag that shows whether the query is executed for a MongoDB document by ObjectID .Default value: false . |
No |