Ipa Chart English

A chart (sometimes known as a graph) is a graphical representation for data visualization, in which "the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart".[1] A chart can represent tabular numeric data, functions or some kinds of quality structure and provides different info.

Charts are often used to ease understanding of large quantities of data and the relationships between parts of the data. Charts can usually be read more quickly than the raw data. They are used in a wide variety of fields, and can be created by hand (often on graph paper) or by computer using a charting application. Certain types of charts are more useful for presenting a given data set than others. For example, data that presents percentages in different groups (such as "satisfied, not satisfied, unsure") are often displayed in a pie chart, but maybe more easily understood when presented in a horizontal bar chart.[2] On the other hand, data that represents numbers that change over a period of time (such as "annual revenue from 1990 to 2000") might be best shown as a line chart.

Ipa Chart English

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Dimensions in the data are often displayed on axes. If a horizontal and a vertical axis are used, they are usually referred to as the x-axis and y-axis. Each axis will have a scale, denoted by periodic graduations and usually accompanied by numerical or categorical indications. Each axis will typically also have a label displayed outside or beside it, briefly describing the dimension represented. If the scale is numerical, the label will often be suffixed with the unit of that scale in parentheses. For example, "Distance traveled (m)" is a typical x-axis label and would mean that the distance traveled, in units of meters, is related to the horizontal position of the data within the chart.

A chart's data can appear in all manner of formats and may include individual textual labels describing the datum associated with the indicated position in the chart. The data may appear as dots or shapes, connected or unconnected, and in any combination of colors and patterns. In addition, inferences or points of interest can be overlaid directly on the graph to further aid information extraction.

When the data appearing in a chart contains multiple variables, the chart may include a legend (also known as a key). A legend contains a list of the variables appearing in the chart and an example of their appearance. This information allows the data from each variable to be identified in the chart.

Helm uses a packaging format called charts. A chart is a collection of filesthat describe a related set of Kubernetes resources. A single chart might beused to deploy something simple, like a memcached pod, or something complex,like a full web app stack with HTTP servers, databases, caches, and so on.

A chart is organized as a collection of files inside of a directory. Thedirectory name is the name of the chart (without versioning information). Thus,a chart describing WordPress would be stored in a wordpress/ directory.

Every chart must have a version number. A version must follow theSemVer2 standard. Unlike Helm Classic, Helm v2and later uses version numbers as release markers. Packages in repositories areidentified by name plus version.

NOTE: Whereas Helm Classic and Deployment Manager were both very GitHuboriented when it came to charts, Helm v2 and later does not rely upon or requireGitHub or even Git. Consequently, it does not use Git SHAs for versioning atall.

The version field inside of the Chart.yaml is used by many of the Helmtools, including the CLI. When generating a package, the helm package commandwill use the version that it finds in the Chart.yaml as a token in the packagename. The system assumes that the version number in the chart package namematches the version number in the Chart.yaml. Failure to meet this assumptionwill cause an error.

Note that the appVersion field is not related to the version field. It is away of specifying the version of the application. For example, the drupalchart may have an appVersion: "8.2.1", indicating that the version of Drupalincluded in the chart (by default) is 8.2.1. This field is informational, andhas no impact on chart version calculations. Wrapping the version in quotes is highly recommended. It forces the YAML parser to treat the version number as a string. Leaving it unquoted can lead to parsing issues in some cases. For example, YAML interprets 1.0 as a floating point value, and a git commit SHA like 1234e10 as scientific notation.

The optional kubeVersion field can define semver constraints on supportedKubernetes versions. Helm will validate the version constraints when installingthe chart and fail if the cluster runs an unsupported Kubernetes version.

When managing charts in a Chart Repository, it is sometimes necessary todeprecate a chart. The optional deprecated field in Chart.yaml can be usedto mark a chart as deprecated. If the latest version of a chart in therepository is marked as deprecated, then the chart as a whole is considered tobe deprecated. The chart name can be later reused by publishing a newer versionthat is not marked as deprecated. The workflow for deprecating charts is:

The type field defines the type of chart. There are two types: applicationand library. Application is the default type and it is the standard chartwhich can be operated on fully. Thelibrary chart provides utilities or functions for thechart builder. A library chart differs from an application chart because it isnot installable and usually doesn't contain any resource objects.

Note: An application chart can be used as a library chart. This is enabledby setting the type to library. The chart will then be rendered as a librarychart where all utilities and functions can be leveraged. All resource objectsof the chart will not be rendered.

A LICENSE is a plain text file containing thelicense for the chart. Thechart can contain a license as it may have programming logic in the templatesand would therefore not be configuration only. There can also be separatelicense(s) for the application installed by the chart, if required.

The chart can also contain a short plain text templates/NOTES.txt file thatwill be printed out after installation, and when viewing the status of arelease. This file is evaluated as atemplate, and canbe used to display usage notes, next steps, or any other information relevant toa release of the chart. For example, instructions could be provided forconnecting to a database, or accessing a web UI. Since this file is printed toSTDOUT when running helm install or helm status, it is recommended to keepthe content brief and point to the README for greater detail.

In Helm, one chart may depend on any number of other charts. These dependenciescan be dynamically linked using the dependencies field in Chart.yaml orbrought in to the charts/ directory and managed manually.

When helm dependency update retrieves charts, it will store them as chartarchives in the charts/ directory. So for the example above, one would expectto see the following files in the charts directory:

Condition - The condition field holds one or more YAML paths (delimited bycommas). If this path exists in the top parent's values and resolves to aboolean value, the chart will be enabled or disabled based on that booleanvalue. Only the first valid path found in the list is evaluated and if no pathsexist then the condition has no effect.

In the above example all charts with the tag front-end would be disabled butsince the subchart1.enabled path evaluates to 'true' in the parent's values,the condition will override the front-end tag and subchart1 will be enabled.

Since subchart2 is tagged with back-end and that tag evaluates to true,subchart2 will be enabled. Also note that although subchart2 has a conditionspecified, there is no corresponding path and value in the parent's values sothat condition has no effect.

In some cases it is desirable to allow a child chart's values to propagate tothe parent chart and be shared as common defaults. An additional benefit ofusing the exports format is that it will enable future tooling to introspectuser-settable values.

The keys containing the values to be imported can be specified in the parentchart's dependencies in the field import-values using a YAML list. Each itemin the list is a key which is imported from the child chart's exports field.

To access values that are not contained in the exports key of the childchart's values, you will need to specify the source key of the values to beimported (child) and the destination path in the parent chart's values(parent).

Values files can declare values for the top-level chart, as well as for any ofthe charts that are included in that chart's charts/ directory. Or, to phraseit differently, a values file can supply values to the chart as well as to anyof its dependencies. For example, the demonstration WordPress chart above hasboth mysql and apache as dependencies. The values file could supply valuesto all of these components:

Charts at a higher level have access to all of the variables defined beneath. Sothe WordPress chart can access the MySQL password as .Values.mysql.password.But lower level charts cannot access things in parent charts, so MySQL will notbe able to access the title property. Nor, for that matter, can it accessapache.port.

Values are namespaced, but namespaces are pruned. So for the WordPress chart, itcan access the MySQL password field as .Values.mysql.password. But for theMySQL chart, the scope of the values has been reduced and the namespace prefixremoved, so it will see the password field simply as .Values.password.

If a subchart declares a global variable, that global will be passed downward(to the subchart's subcharts), but not upward to the parent chart. There is noway for a subchart to influence the values of the parent chart.

Sometimes, a chart maintainer might want to define a structure on their values.This can be done by defining a schema in the values.schema.json file. A schemais represented as aJSON Schema. It might looksomething like this: 006ab0faaa