README
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fuse_go
The Go (Golang) client library for the DeclareData Fuse server.
Important Note: This library is in experimental status. It may be missing features and is expected to change in breaking ways at any time. This message will be removed when this library's status changes.
Documentation
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Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type Column ¶
type Column interface {
// Name returns the current name of this column
Name() string
// contains filtered or unexported methods
}
type DataFrame ¶
type DataFrame struct {
// contains filtered or unexported fields
}
func DataFrameFromCSV ¶
func (*DataFrame) Builder ¶
func (d *DataFrame) Builder() DataFrameBuilder
func (*DataFrame) Col ¶
func (d *DataFrame) Col(colName string) *ExistingCol
type DataFrameBuilder ¶
type DataFrameBuilder struct {
// contains filtered or unexported fields
}
DataFrameBuilder is an error-safe construct to connect a series of DataFrame transformations together. Create one of these from an existing DataFrame by calling its Builder() method.
func (DataFrameBuilder) Collect ¶
func (d DataFrameBuilder) Collect(ctx context.Context) ([]*Row, error)
Collect is a convenience function for roughly the following:
df, err := d.Execute(ctx)
if err != nil {
return nil, fmt.Errorf("collecting: %w", err)
}
return df.Collect(ctx)
func (DataFrameBuilder) Execute ¶
func (d DataFrameBuilder) Execute(ctx context.Context) (*DataFrame, error)
Execute executes all transforms in d and returns the resulting DataFrame. If any transform fails, execution is immediately halted and the error is returned.
func (DataFrameBuilder) Select ¶
func (d DataFrameBuilder) Select(cols ...Column) DataFrameBuilder
Select appends a call to df.Select(ctx, cols) to the end of the set of transforms.
type ExistingCol ¶
type ExistingCol struct {
// contains filtered or unexported fields
}
ExistingCol is a Column implementation that simply references a column that already exists in a DataFrame.
Call either the Col or DataFrame.Col functions to create one of these.
func Col ¶
func Col(name string) *ExistingCol
func (*ExistingCol) Name ¶
func (e *ExistingCol) Name() string
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