Name | Type | Default value | Description |
---|---|---|---|
ramBased | boolean | A value field must be RAM-based to perform synthesis efficiently. | |
multiContext | boolean | ||
fieldName | string | The name of the field. The name of a field can only contain lower-case characters, numbers and underscore. [a-z0-9_]+ | |
searchable | boolean | Allows users to query on this field (using a prefix handler). | |
retrievable | boolean | Allows the content of this field to be retrieved at query time and displayed in the search results. | |
dataModelState | string | Is this index field config managed by a data model? @enum{null,auto,customized}. If null, this is not related to a data model. If "auto", this is auto-generated by a data model. If "customized", this was auto-generated by a data model and then customized. | |
dataModelClass | string | If dataModelState is "auto" or customized", you will find here the name of the DataModelClass that generated this field config. | |
dataModelProperty | string | If dataModelState is "auto" or customized", you will find here the name of the DataModelProperty that generated this field config. | |
multivalued | boolean | ||
version | int | ||
maxStoredWordPosition | int | Number of words, starting from the beginning of the document, for which word positions will be stored in the index. This enables proximity ranking and position searching (NEAR, NEXT, ...) up to this number of words in the document. '0' should be used to disable position storing. | |
maxInlineWordPositions | int | 2 | Advanced setting controlling how many positions are inlined in the main data file for each word of each document. |
useVariablePositionsEncoding | boolean | Advanced setting to choose which positions encoding algorithm should be used. Variable position encoding should be used to reduce index size when indexing big documents. | |
storeTf | boolean | Stores the number of terms of each document. This information may be used by the ranking algorithm to normalize term frequencies (as "nbTerms"). This costs a few bytes of RAM per document. | |
bloomFilter | boolean | Activates a Bloom filter per slot. This speeds up requests containing words that are not present in the field on a given slot. Disable this option if all words of the request for this field are always matching, and if you compact into big slots regularly. Enable this option if there is either a lot of misses (e.g. on the "text" field) or if you have small updates (e.g. with real-time indexing). | |
gzip | boolean | True | Activates content compression |
implementation | enum(strbtree, trie, fsm) | fsm | Advanced configuration. Internal structure used to store the field dictionary. |
nbWordsPerLeaf | int | 1000 | Advanced configuration. If using the strbtree structure, it configures the number of words per leaf. |
optimizePatternSearch | boolean | True | Adds extra informations to the dictionaries for pattern search optimization. If false, optimizes data structures for size. |
Name | Type | Description |
---|---|---|
fromDataModel | com.exalead.mercury.mami.indexing.v10.FieldConfig | If dataModelState is "customized", you will find here the original object generated by the data model. Use this to easily revert to "auto" state from "customized". |
ListsEncoderConfig | com.exalead.mercury.mami.indexing.v10.ListsEncoderConfig | Configuration of the inverted lists encoder. If no configuration is specified, a Rice encoder is used. |