So far, we've seen how to place information into a template. But that information is placed into the template unmodified. Sometimes we want to transform the supplied data in a way that makes it more useable to us.
Let's start with a best practice: When injecting strings from the `.Values` object into the template, we ought to quote these strings. We can do that by calling the `quote` function in the template directive:
Template functions follow the syntax `functionName arg1 arg2...`. In the snippet above, `quote .Values.favorite.drink` calls the `quote` function and passes it a single argument.
Helm has over 60 available functions. Some of them are defined by the [Go template language](https://godoc.org/text/template) itself. Most of the others are part of the [Sprig template library](https://godoc.org/github.com/Masterminds/sprig). We'll see many of them as we progress through the examples.
> While we talk about the "Helm template language" as if it is Helm-specific, it is actually a combination of the Go template language, some extra functions, and a variety of wrappers to expose certain objects to the templates. Many resources on Go templates may be helpful as you learn about templating.
## Pipelines
One of the powerful features of the template language is its concept of _pipelines_. Drawing on a concept from UNIX, pipelines are a tool for chaining together a series of template commands to compactly express a series of transformations. In other words, pipelines are an efficient way of getting several things done in sequence. Let's rewrite the above example using a pipeline.
In this example, instead of calling `quote ARGUMENT`, we inverted the order. We "sent" the argument to the function using a pipeline (`|`): `.Values.favorite.drink | quote`. Using pipelines, we can chain several functions together:
> Inverting the order is a common practice in templates. You will see `.val | quote` more often than `quote .val`. Either practice is fine.
When evaluated, that template will produce this:
```yaml
# Source: mychart/templates/configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: trendsetting-p-configmap
data:
myvalue: "Hello World"
drink: "coffee"
food: "PIZZA"
```
Note that our original `pizza` has now been transformed to `"PIZZA"`.
When pipelining arguments like this, the result of the first evaluation (`.Values.favorite.drink`) is sent as the _last argument to the function_. We can modify the drink example above to illustrate with a function that takes two arguments: `repeat COUNT STRING`:
The `repeat` function will echo the given string the given number of times, so we will get this for output:
```yaml
# Source: mychart/templates/configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: melting-porcup-configmap
data:
myvalue: "Hello World"
drink: "coffeecoffeecoffeecoffeecoffee"
food: "PIZZA"
```
## Using the `default` function
One function frequently used in templates is the `default` function: `default DEFAULT_VALUE GIVEN_VALUE`. This function allows you to specify a default value inside of the template, in case the value is omitted. Let's use it to modify the drink example above:
In an actual chart, all static default values should live in the values.yaml, and should not be repeated using the `default` command (otherwise they would be redundant). However, the `default` command is perfect for computed values, which can not be declared inside values.yaml. For example:
Template functions and pipelines are a powerful way to transform information and then insert it into your YAML. But sometimes it's necessary to add some template logic that is a little more sophisticated than just inserting a string. In the next section we will look at the control structures provided by the template language.
## Operators are functions
For templates, the operators (`eq`, `ne`, `lt`, `gt`, `and`, `or` and so on) are all implemented as functions. In pipelines, operations can be grouped with parentheses (`(`, and `)`).
Now we can turn from functions and pipelines to flow control with conditions, loops, and scope modifiers.