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HCL OneDB V1.0.0.0
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Extending
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HCL OneDB™
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Extending
Beyond standard relational database objects,
HCL OneDB™
can be extended to handle specialized data types, access methods, routines, and other objects.
HCL OneDB™
includes many built-in extensions that are fully integrated in the database server.
HCL OneDB™
also provides modules, which are packages of extended database objects for a particular purpose and that are installed separately from the database server. Alternatively, you can create your own user-defined objects for
HCL OneDB™
.
extensions and modules
These topics describe how to use built-in database extensions and separately installed modules.
TimeSeries Data User's Guide
The
HCL OneDB™ TimeSeries Data User's Guide
contains information to assist you in using the TimeSeries extension with
HCL OneDB™
.
Create and manage a time series through SQL
Before you can load time series data into the database, you must configure database objects specific to your time series. You can manage data storage and remove data as necessary. You can run SQL statements to create and manage time series.
Create a time series column
Extending
Beyond standard relational database objects,
HCL OneDB™
can be extended to handle specialized data types, access methods, routines, and other objects.
HCL OneDB™
includes many built-in extensions that are fully integrated in the database server.
HCL OneDB™
also provides modules, which are packages of extended database objects for a particular purpose and that are installed separately from the database server. Alternatively, you can create your own user-defined objects for
HCL OneDB™
.
extensions and modules
These topics describe how to use built-in database extensions and separately installed modules.
Database Extensions User's Guide
The
HCL OneDB™
Database Extensions User's Guide
explains how to use the database extensions that come with
HCL OneDB™
: Large Object Locator, MQ messaging, binary data types, basic text search, node data type,
HCL OneDB™
web feature service for Geospatial Data,
and SQL packages.
Performing XML Publishing
The
HCL OneDB™
XML User's Guide
includes information about using built-in functions for XML publishing with
HCL® OneDB®
.
Excalibur Text Search Module User's Guide
These topics describe the module and how to access and use its components.
Spatial Data User's Guide
The
HCL OneDB™ Spatial Data User's Guide
contains information to assist you in using the
HCL® OneDB®
spatial extension. The
HCL® OneDB®
spatial extension adds custom data types and supporting routines to the server.
Spatiotemporal Search for Moving Objects User's Guide
The
HCL OneDB™ Spatiotemporal Search for Moving Objects User's Guide
describes how to program applications to search data from moving objects in
HCL OneDB™
databases using the spatiotemporal search extension.
TimeSeries Data User's Guide
The
HCL OneDB™ TimeSeries Data User's Guide
contains information to assist you in using the TimeSeries extension with
HCL OneDB™
.
TimeSeries solution
Database administrators and applications developers use the TimeSeries solution to store and analyze time series data.
Data types and system tables
Specialized data types and system tables handle time series data.
Create and manage a time series through SQL
Before you can load time series data into the database, you must configure database objects specific to your time series. You can manage data storage and remove data as necessary. You can run SQL statements to create and manage time series.
Example for regular data: Create and load a regular time series
This example shows how to create a
TimeSeries
data type, create a time series table, create a regular time series by running the
TSCreate
function, and load data into the time series through the
HCL® OneDB® TimeSeries Plug-in for Data Studio
.
Example for hertz data: Create and load a hertz time series
This example shows how to create, load, and query a time series that stores hertz data.
Example for compressible data: Create and load a compressed time series
This example shows how to create, load, and query a time series that stores compressed numeric data.
Example for JSON data: Create and load a time series with JSON documents
These examples show how to create, load, and query a time series that stores JSON data.
Defining a calendar
A time series definition must include a calendar. A calendar includes a calendar pattern, which can be defined separately or within the calendar definition.
You can create a calendar or choose a predefined calendar.
Create a time series column
Creating a TimeSeries subtype
To create a column of type
TimeSeries
, you must first create a row subtype to represent the data held in each element of the time series.
Create the database table
After you create the
TimeSeries
subtype, use the CREATE TABLE statement to create a table with a column of that subtype.
Creating containers
Containers are created automatically when they are needed, in the same dbspaces in which the table is stored. If you want to store your time series data in other dbspaces, you can create containers. You can move containers between container pools.
You must create containers if you want to replicate time series data with Enterprise Replication or create rolling window containers.
Create a time series
You can use several methods to create an instance of a time series, depending on whether there is existing data to load and, if so, the format of that data.
Load data into a time series
You can use several methods to load data into the time series. Some methods require you to create the time series instance before you load data.
Performance tips for time series
You can improve the performance of loading and querying time series data with the following guidelines.
Delete time series data
You can delete time series data to remove incorrect data or to remove old data.
Manage packed data
You can insert, delete, and select packed data.
Virtual tables for time series data
A virtual table provides a relational view of your time series data.
Pattern matching searches
You can search time series data for matches to a particular pattern of values. For example, after you identify a pattern of abnormal electricity usage that indicates an outage, you can search for matches to that pattern to find other outages. Pattern matching searches find matches to a pattern that you supply. Pattern matching searches do not discover patterns in time series data.
Advanced analytics
Advanced analytics functions provide specialized methods of analyzing time series data for patterns or abnormalities.
Calendar pattern routines
You can use calendar pattern routines to manipulate calendar patterns.
Calendar routines
You can use calendar routines to manipulate calendars.
Time series SQL routines
Time series API routines
The time series application programming interface routines allow application programmers to directly access a time series datum.
Appendixes
Creating extensions
You can create user-defined data types, routines, access methods, and other database objects to suit your needs. You can use application programming interfaces to write user-defined routines and applications that access data in databases.
Create a time series column
To create a time series column:
Creating a TimeSeries subtype
To create a column of type TimeSeries, you must first create a row subtype to represent the data held in each element of the time series.
Create the database table
After you create the TimeSeries subtype, use the CREATE TABLE statement to create a table with a column of that subtype.