Terminology
This document explains about the terms used in the Handbook.
A | B | D | F | H | I | Q | T | V
A#
alias#
An alias is a virtual index name that can point to one or more indices.
aggregation#
Aggregations let you tap into OpenSearch’s powerful analytics engine to analyze your data and extract statistics from it.
Note: OpenSearch doesn’t support aggregations on a text
field.
aggregation type#
There are three main types of aggregations:
- Metric aggregations - Calculate metrics such as sum, min, max, and avg on numeric fields.
- Bucket aggregations - Sort query results into groups based on some criteria.
- Pipeline aggregations - Pipe the output of one aggregation as an input to another.
B#
bucket#
A set of documents in BAP that have certain characteristics in common. For example, matching documents might be bucketed by name, type, or date range.
D#
dashboard#
A collection of visualizations that provide insights into your data.
data source#
The data sources are the platforms and tools from where BAP can pull data to analyze.
document#
A JSON object containing data stored and indexed in OpenSearch.
F#
field#
A key-value pair in a document.
H#
HatStall#
HatStall is a deprecated web interface for SortingHat databases.
I#
index(es)/indices#
A collection of JSON documents.
index pattern#
A string containing a wildcard (*) pattern that can match multiple indices or aliases.
ingestion#
The process of collecting data from various data sources and sending it to OpenSearch.
Q#
query#
Request for information about your data. You can think of a query as a question, written in a way OpenSearch understands.
S#
SortingHat#
SortingHat is the identity management subsystem of Bitergia Analytics Platform.
It is available in https://[INSTANCE].biterg.io/identities
.
See more about affiliations here.
T#
text#
Unstructured content, such as a product description or log message which can be used for better analysis.
V#
visualization#
A graphical representation of query results in BAP's web user interface.