Simple Search Index Options — Candidate Finder Options - 23.1

Spectrum Dataflow Designer Guide

Version
23.1
Language
English
Product name
Spectrum Technology Platform
Title
Spectrum Dataflow Designer Guide
Copyright
2024
First publish date
2007
Last updated
2024-10-11
Published on
2024-10-11T22:55:47.128293

Finder type

Select Search Index.

Name

Select the appropriate index that was created using the Write to Search Index stage under the Advanced Matching deployed stages in Enterprise Designer.

Starting record

Enter the record number on which search results should begin. The default is 1.

Maximum results

Enter the maximum number of results you want the search index to return. Default is 10.
Note: If the maximum results is arbitrarily large, process those in batches, using the Fetch Batch Size field.

Fetch Batch Size

If the Maximum results is arbitrarily large, enter the size of batches in which you want the results to be processed. This optimizes processing of large number of records. Default is 10000.

The recommended Fetch Batch Size is a value lesser than Maximum results and if the Fetch Batch Size is greater than Maximum results, the records are processed in a single batch.

Note: This field is applicable only to cluster supported search engine and not to the legacy search engine.

Return match count

Returns the total number of matches that were made. For example, if you use the default of "10" for the Maximum results field above, only 10 results will be returned. However, if you check this box, the TotalMatchCount output field will tell you how many matches were made during processing.

Index search type

Determines the type of index search you want to conduct. Select Simple search.

Index Fields

Select index fields you want to use for comparison in the simple search.

Input field

Select the input field you want to use for comparison in the simple search.

Input analyzer

Specify which analyzer to use to tokenize the input string. One of these:

  • Standard—Provides a grammar-based tokenizer that contains a superset of the Whitespace and Stop Word analyzers. Understands English punctuation for breaking down words, knows words to ignore (via the Stop Word Analyzer), and performs technically case-insensitive searching by conducting lowercase comparisons. For example, the string “Precisely Software” would be returned as two tokens: “Precisely” and “Software”.
  • Whitespace—Separates tokens with white space. Somewhat of a subset of the Standard Analyzer in that it understands word breaks in English text based on spaces and line breaks.
  • StopWord—Removes articles such as "the," "and," and "a" to shrink the index size and increase performance.
  • Keyword—Creates a single token from a stream of data. For example, the string “Precisely Software” would be returned as just one token “Precisely Software”.
  • Russian—Supports Russian-language indexes and type-ahead services. Also supports many stop words and removes articles such as "and," "I," and "you" to shrink the index size and increase performance.
  • German—Supports German-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Danish—Supports Danish-language indexes and type-ahead services. Also supports many stop words and removes articles such as "at" "and," and "a" to shrink the index size and increase performance.
  • Dutch—Supports Dutch-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Finnish—Supports Finnish-language indexes and type-ahead services. Also supports many stop words and removes articles such as "is" "and," and "of" to shrink the index size and increase performance.
  • French—Supports French-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Hungarian—Supports Hungarian-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Italian—Supports Italian-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Norwegian—Supports Norwegian-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Portuguese—Supports Portuguese-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Spanish—Supports Spanish-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Swedish—Supports Swedish-language indexes and type-ahead services. Also supports many stop words and removes articles such as "the" "and," and "a" to shrink the index size and increase performance.
  • Hindi—Supports Hindi-language indexes and type-ahead services. Also supports many stop words and removes articles such as "by" "and," and "a" to shrink the index size and increase performance.

Output Fields tab

Check the Include box to select which stored fields should be included in the output.
Note: If the input field is from an earlier stage in the dataflow and it has the same name as the store field name from the search index, the values from the input field will overwrite the values in the output field.