Documentation ¶
Index ¶
- Variables
- func Context(ctx ...context.Context) context.Context
- func Fields() []arrow.Field
- func NewFileReader(r parquet.ReaderAtSeeker) *file.Reader
- func NewFileWriter(w io.Writer) *file.Writer
- func Select(names ...string) *arrow.Schema
- type ByteArray
- type Entry
- type Int64Array
- type MultiEntry
- type Reader
- type Request
Constants ¶
This section is empty.
Variables ¶
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var ErrBadJSON = errors.New("api: invalid json ")
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var Index = func() (m map[string]int) { m = make(map[string]int) for i := range all { m[all[i].Name] = i } return }()
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var IndexedColumns = func() (m map[int]string) { m = make(map[int]string) for _, n := range IndexedColumnsNames { m[Index[n]] = n } return }()
Maps column index to column name of all indexed columns
View Source
var IndexedColumnsNames = []string{
"browser",
"browser_version",
"city",
"country",
"entry_page",
"exit_page",
"host",
"name",
"os",
"os_version",
"path",
"referrer",
"referrer_source",
"region",
"screen",
"utm_campaign",
"utm_content",
"utm_medium",
"utm_source",
"utm_term",
}
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var ParquetSchema = parquetSchema()
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var Pool = memory.NewGoAllocator()
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var Schema = arrow.NewSchema(all, nil)
Functions ¶
func NewFileReader ¶ added in v0.0.19
func NewFileReader(r parquet.ReaderAtSeeker) *file.Reader
Types ¶
type ByteArray ¶ added in v0.0.19
type ByteArray struct {
// contains filtered or unexported fields
}
func NewByteArray ¶ added in v0.0.19
func NewByteArray() ByteArray
func (*ByteArray) Write ¶ added in v0.0.19
func (b *ByteArray) Write(g file.ColumnChunkWriter, r *roaring64.Bitmap, field v1.Block_Index_Column)
type Entry ¶
type Entry struct { Bounce int64 Session int64 Browser string BrowserVersion string City string Country string Domain string Duration time.Duration EntryPage string ExitPage string Host string ID uint64 Name string Os string OsVersion string Path string Referrer string ReferrerSource string Region string Screen string Timestamp int64 UtmCampaign string UtmContent string UtmMedium string UtmSource string UtmTerm string }
type Int64Array ¶ added in v0.0.19
type Int64Array struct {
// contains filtered or unexported fields
}
func NewInt64Array ¶ added in v0.0.19
func NewInt64Array() Int64Array
func (*Int64Array) Append ¶ added in v0.0.19
func (b *Int64Array) Append(v int64)
func (*Int64Array) First ¶ added in v0.0.19
func (b *Int64Array) First() int64
func (*Int64Array) Last ¶ added in v0.0.19
func (b *Int64Array) Last() int64
func (*Int64Array) Reset ¶ added in v0.0.19
func (b *Int64Array) Reset()
func (*Int64Array) Write ¶ added in v0.0.19
func (b *Int64Array) Write(g file.ColumnChunkWriter)
type MultiEntry ¶ added in v0.0.18
type MultiEntry struct { Bounce Int64Array Browser ByteArray BrowserVersion ByteArray City ByteArray Country ByteArray Duration Int64Array EntryPage ByteArray ExitPage ByteArray Host ByteArray ID Int64Array Name ByteArray Os ByteArray OsVersion ByteArray Path ByteArray Referrer ByteArray ReferrerSource ByteArray Region ByteArray Screen ByteArray Session Int64Array Timestamp Int64Array UtmCampaign ByteArray UtmContent ByteArray UtmMedium ByteArray UtmSource ByteArray UtmTerm ByteArray // contains filtered or unexported fields }
func NewMulti ¶ added in v0.0.18
func NewMulti() *MultiEntry
func (*MultiEntry) Append ¶ added in v0.0.18
func (m *MultiEntry) Append(e *Entry)
func (*MultiEntry) Release ¶ added in v0.0.18
func (m *MultiEntry) Release()
func (*MultiEntry) Reset ¶ added in v0.0.18
func (m *MultiEntry) Reset()
type Request ¶ added in v0.0.8
type Request struct { EventName string `json:"n"` URI string `json:"url"` Referrer string `json:"r"` Domain string `json:"d"` ScreenWidth int `json:"w"` HashMode bool `json:"h"` IP string `json:"ip,omitempty"` UserAgent string `json:"ua,omitempty"` // contains filtered or unexported fields }
Request is sent by the vince script embedded in client websites
func NewRequest ¶ added in v0.0.8
func NewRequest() *Request
func (*Request) Parse ¶ added in v0.0.8
Parse opportunistic parses request body to r object. This is crucial method any gains here translates to smooth events ingestion pipeline.
A hard size limitation of 32kb is imposed. This is arbitrary value, any change to it must be be supported with statistics.
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