summarize-database-insight-resource-forecast-trend

Description

Get Forecast predictions for CPU and Storage resources since a time in the past. If compartmentIdInSubtree is specified, aggregates resources in a compartment and in all sub-compartments.

Usage

oci opsi database-insights summarize-database-insight-resource-forecast-trend [OPTIONS]

Required Parameters

--compartment-id, -c [text]

The OCID of the compartment.

--resource-metric [text]

Filter by resource metric. Supported values are CPU , STORAGE, MEMORY and IO.

Optional Parameters

--analysis-time-interval [text]

Specify time period in ISO 8601 format with respect to current time. Default is last 30 days represented by P30D. If timeInterval is specified, then timeIntervalStart and timeIntervalEnd will be ignored. Examples P90D (last 90 days), P4W (last 4 weeks), P2M (last 2 months), P1Y (last 12 months), . Maximum value allowed is 25 months prior to current time (P25M).

--cdb-name [text]

Filter by one or more cdb name.

--compartment-id-in-subtree [boolean]

A flag to search all resources within a given compartment and all sub-compartments.

--confidence [integer]

This parameter is used to change data’s confidence level, this data is ingested by the forecast algorithm. Confidence is the probability of an interval to contain the expected population parameter. Manipulation of this value will lead to different results. If not set, default confidence value is 95%.

--database-id [text]

Optional list of database OCIDs of the associated DBaaS entity.

--database-type [text]

Filter by one or more database type. Possible values are ADW-S, ATP-S, ADW-D, ATP-D, EXTERNAL-PDB, EXTERNAL-NONCDB.

Accepted values are:

ADW-D, ADW-S, ATP-D, ATP-S, COMANAGED-BM-CDB, COMANAGED-BM-NONCDB, COMANAGED-BM-PDB, COMANAGED-EXACS-CDB, COMANAGED-EXACS-NONCDB, COMANAGED-EXACS-PDB, COMANAGED-VM-CDB, COMANAGED-VM-NONCDB, COMANAGED-VM-PDB, EXTERNAL-NONCDB, EXTERNAL-PDB
--defined-tag-equals [text]

A list of tag filters to apply. Only resources with a defined tag matching the value will be returned. Each item in the list has the format “{namespace}.{tagName}.{value}”. All inputs are case-insensitive. Multiple values for the same key (i.e. same namespace and tag name) are interpreted as “OR”. Values for different keys (i.e. different namespaces, different tag names, or both) are interpreted as “AND”.

--defined-tag-exists [text]

A list of tag existence filters to apply. Only resources for which the specified defined tags exist will be returned. Each item in the list has the format “{namespace}.{tagName}.true” (for checking existence of a defined tag) or “{namespace}.true”. All inputs are case-insensitive. Currently, only existence (“true” at the end) is supported. Absence (“false” at the end) is not supported. Multiple values for the same key (i.e. same namespace and tag name) are interpreted as “OR”. Values for different keys (i.e. different namespaces, different tag names, or both) are interpreted as “AND”.

--exadata-insight-id [text]

Optional list of exadata insight resource OCIDs.

--forecast-days [integer]

Number of days used for utilization forecast analysis.

--forecast-model [text]

Choose algorithm model for the forecasting. Possible values: - LINEAR: Uses linear regression algorithm for forecasting. - ML_AUTO: Automatically detects best algorithm to use for forecasting. - ML_NO_AUTO: Automatically detects seasonality of the data for forecasting using linear or seasonal algorithm.

Accepted values are:

LINEAR, ML_AUTO, ML_NO_AUTO
--freeform-tag-equals [text]

A list of tag filters to apply. Only resources with a freeform tag matching the value will be returned. The key for each tag is “{tagName}.{value}”. All inputs are case-insensitive. Multiple values for the same tag name are interpreted as “OR”. Values for different tag names are interpreted as “AND”.

--freeform-tag-exists [text]

A list of tag existence filters to apply. Only resources for which the specified freeform tags exist the value will be returned. The key for each tag is “{tagName}.true”. All inputs are case-insensitive. Currently, only existence (“true” at the end) is supported. Absence (“false” at the end) is not supported. Multiple values for different tag names are interpreted as “AND”.

--from-json [text]

Provide input to this command as a JSON document from a file using the file://path-to/file syntax.

The --generate-full-command-json-input option can be used to generate a sample json file to be used with this command option. The key names are pre-populated and match the command option names (converted to camelCase format, e.g. compartment-id –> compartmentId), while the values of the keys need to be populated by the user before using the sample file as an input to this command. For any command option that accepts multiple values, the value of the key can be a JSON array.

Options can still be provided on the command line. If an option exists in both the JSON document and the command line then the command line specified value will be used.

For examples on usage of this option, please see our “using CLI with advanced JSON options” link: https://docs.cloud.oracle.com/iaas/Content/API/SDKDocs/cliusing.htm#AdvancedJSONOptions

--high-utilization-threshold [integer]

Percent value in which a resource metric is considered highly utilized.

--host-name [text]

Filter by one or more hostname.

--id [text]

Optional list of database insight resource OCIDs.

--is-database-instance-level-metrics [boolean]

Flag to indicate if database instance level metrics should be returned. The flag is ignored when a host name filter is not applied. When a hostname filter is applied this flag will determine whether to return metrics for the instances located on the specified host or for the whole database which contains an instance on this host.

--low-utilization-threshold [integer]

Percent value in which a resource metric is considered low utilized.

--page [text]

For list pagination. The value of the opc-next-page response header from the previous “List” call. For important details about how pagination works, see List Pagination.

--statistic [text]

Choose the type of statistic metric data to be used for forecasting.

Accepted values are:

AVG, MAX
--tablespace-name [text]

Tablespace name for a database

--time-interval-end [datetime]

Analysis end time in UTC in ISO 8601 format(exclusive). Example 2019-10-30T00:00:00Z (yyyy-MM-ddThh:mm:ssZ). timeIntervalStart and timeIntervalEnd are used together. If timeIntervalEnd is not specified, current time is used as timeIntervalEnd.

The following datetime formats are supported:

UTC with microseconds

Format: YYYY-MM-DDTHH:mm:ss.ssssssTZD
Example: 2017-09-15T20:30:00.123456Z

UTC with milliseconds
***********************
.. code::

    Format: YYYY-MM-DDTHH:mm:ss.sssTZD
    Example: 2017-09-15T20:30:00.123Z

UTC without milliseconds
**************************
.. code::

    Format: YYYY-MM-DDTHH:mm:ssTZD
    Example: 2017-09-15T20:30:00Z

UTC with minute precision
**************************
.. code::

    Format: YYYY-MM-DDTHH:mmTZD
    Example: 2017-09-15T20:30Z

Timezone with microseconds

Format: YYYY-MM-DDTHH:mm:ssTZD
Example: 2017-09-15T12:30:00.456789-08:00, 2017-09-15T12:30:00.456789-0800

Timezone with milliseconds
***************************
.. code::

    Format: YYYY-MM-DDTHH:mm:ssTZD
    Example: 2017-09-15T12:30:00.456-08:00, 2017-09-15T12:30:00.456-0800

Timezone without milliseconds
*******************************
.. code::

    Format: YYYY-MM-DDTHH:mm:ssTZD
    Example: 2017-09-15T12:30:00-08:00, 2017-09-15T12:30:00-0800

Timezone with minute precision
*******************************
.. code::

    Format: YYYY-MM-DDTHH:mmTZD
    Example: 2017-09-15T12:30-08:00, 2017-09-15T12:30-0800

Short date and time
********************
The timezone for this date and time will be taken as UTC (Needs to be surrounded by single or double quotes)

.. code::

    Format: 'YYYY-MM-DD HH:mm' or "YYYY-MM-DD HH:mm"
    Example: '2017-09-15 17:25'

Date Only
**********
This date will be taken as midnight UTC of that day

.. code::

    Format: YYYY-MM-DD
    Example: 2017-09-15

Epoch seconds
**************
.. code::

    Example: 1412195400
--time-interval-start [datetime]

Analysis start time in UTC in ISO 8601 format(inclusive). Example 2019-10-30T00:00:00Z (yyyy-MM-ddThh:mm:ssZ). The minimum allowed value is 2 years prior to the current day. timeIntervalStart and timeIntervalEnd parameters are used together. If analysisTimeInterval is specified, this parameter is ignored.

The following datetime formats are supported:

UTC with microseconds

Format: YYYY-MM-DDTHH:mm:ss.ssssssTZD
Example: 2017-09-15T20:30:00.123456Z

UTC with milliseconds
***********************
.. code::

    Format: YYYY-MM-DDTHH:mm:ss.sssTZD
    Example: 2017-09-15T20:30:00.123Z

UTC without milliseconds
**************************
.. code::

    Format: YYYY-MM-DDTHH:mm:ssTZD
    Example: 2017-09-15T20:30:00Z

UTC with minute precision
**************************
.. code::

    Format: YYYY-MM-DDTHH:mmTZD
    Example: 2017-09-15T20:30Z

Timezone with microseconds

Format: YYYY-MM-DDTHH:mm:ssTZD
Example: 2017-09-15T12:30:00.456789-08:00, 2017-09-15T12:30:00.456789-0800

Timezone with milliseconds
***************************
.. code::

    Format: YYYY-MM-DDTHH:mm:ssTZD
    Example: 2017-09-15T12:30:00.456-08:00, 2017-09-15T12:30:00.456-0800

Timezone without milliseconds
*******************************
.. code::

    Format: YYYY-MM-DDTHH:mm:ssTZD
    Example: 2017-09-15T12:30:00-08:00, 2017-09-15T12:30:00-0800

Timezone with minute precision
*******************************
.. code::

    Format: YYYY-MM-DDTHH:mmTZD
    Example: 2017-09-15T12:30-08:00, 2017-09-15T12:30-0800

Short date and time
********************
The timezone for this date and time will be taken as UTC (Needs to be surrounded by single or double quotes)

.. code::

    Format: 'YYYY-MM-DD HH:mm' or "YYYY-MM-DD HH:mm"
    Example: '2017-09-15 17:25'

Date Only
**********
This date will be taken as midnight UTC of that day

.. code::

    Format: YYYY-MM-DD
    Example: 2017-09-15

Epoch seconds
**************
.. code::

    Example: 1412195400
--utilization-level [text]

Filter by utilization level by the following buckets: - HIGH_UTILIZATION: DBs with utilization greater or equal than 75. - LOW_UTILIZATION: DBs with utilization lower than 25. - MEDIUM_HIGH_UTILIZATION: DBs with utilization greater or equal than 50 but lower than 75. - MEDIUM_LOW_UTILIZATION: DBs with utilization greater or equal than 25 but lower than 50.

Accepted values are:

HIGH_UTILIZATION, LOW_UTILIZATION, MEDIUM_HIGH_UTILIZATION, MEDIUM_LOW_UTILIZATION
--vmcluster-name [text]

Optional list of Exadata Insight VM cluster name.

Example using required parameter

Copy the following CLI commands into a file named example.sh. Run the command by typing “bash example.sh” and replacing the example parameters with your own.

Please note this sample will only work in the POSIX-compliant bash-like shell. You need to set up the OCI configuration and appropriate security policies before trying the examples.

    export compartment_id=<substitute-value-of-compartment_id> # https://docs.cloud.oracle.com/en-us/iaas/tools/oci-cli/latest/oci_cli_docs/cmdref/opsi/database-insights/summarize-database-insight-resource-forecast-trend.html#cmdoption-compartment-id
    export resource_metric=<substitute-value-of-resource_metric> # https://docs.cloud.oracle.com/en-us/iaas/tools/oci-cli/latest/oci_cli_docs/cmdref/opsi/database-insights/summarize-database-insight-resource-forecast-trend.html#cmdoption-resource-metric

    oci opsi database-insights summarize-database-insight-resource-forecast-trend --compartment-id $compartment_id --resource-metric $resource_metric