Snapi Language

Snapi is new data manipulation language with a rich built-in library and ready-to-use connectors to the most common data sources.

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📄️ What is Snapi?

Snapi is new data manipulation language designed to deliver data quickly. It includes a rich built-in library and ready-to-use connectors to the most common data sources. It is designed to be easy to get started but powerful enough to handle the most complex data manipulation use cases.

🗃️ Snapi by Example

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📄️ Frequently-Asked Questions

Where does Snapi run?

📄️ Data types

Snapi supports the following data types.

📄️ Comments

Comments can be written using //. For instance:

📄️ Identifiers

Identifiers are case sensitive. Therefore, the following is allowed:

📄️ Constants

Numbers

📄️ Program declarations

Program declarations are declarations that are defined at the program level.

📄️ Let declarations and functions

Let declarations bind identifiers to values or functions.

📄️ Records

Records are a structure holding multiple named inner types. For example:

📄️ Collections and Lists

Collections and lists are both structures that hold sequences of items of the same type.

📄️ Type alias

A type alias is an alias to an existing type. This provides for a more concise definition.

📄️ Operators

The following are the set of built-in unary, binary and conditional operators

📄️ Null handling

All expressions can have a null value.

📄️ Error handling

All expressions with the exception of collections can evaluate as an error value.

📄️ Type conversion

Types can be converted to more precise types automatically when no precision loss occurs. This is called upcasting.

📄️ Libraries

Libraries are a mechanism to reuse and share Snapi code. Snapi includes a large set of Built-in libraries but as a developer you can also create your own libraries of Snapi code.

📄️ Inference

Snapi is a type-safe language, which means that the type of every expression must be well-defined and checked prior to execution. Type-safe languages are safer and more efficient than dynamic languages but usually do so at the cost of flexibility.

📄️ Evaluation model

Declarations in Snapi must be defined in order, i.e. if a declaration f uses a declaration g, then the declaration g must be defined earlier in the program.

📄️ Temporal templates

The functions Timestamp.Parse, Date.Parse and Time.Parse will parse the corresponding type from a string using a template.

📄️ Regular expression patterns

Regular Expression, or regex in short, is a sequence of characters that specifies a search pattern in text.

📄️ Locations with Wildcards

The locations that include paths may include wildcards through use of a special syntax in the URL.

📄️ Field Projection in Collections

If a collection or list contains records, it is possible to extract one of the fields of the inner records directly on the parent list.

🗃️ Built-in Libraries

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