flow

package
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 Go to latest Published: May 5, 2021 License: Apache-2.0 Imports: 20 Imported by: 0

Documentation

Overview

Package flow contains data structure for computation. Mostly Dataset operations such as Map/Reduce/Join/Sort etc.

Index

Constants

This section is empty.

Variables

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var (
	Local *localDriver
)

Functions

This section is empty.

Types

type DasetsetHint 

type DasetsetHint func(d *Dataset)

func PartitionSize 

func PartitionSize(n int64) DasetsetHint

PartitionSize hints the partition size in MB. This is usually used when sorting is needed.

func TotalSize 

func TotalSize(n int64) DasetsetHint

TotalSize hints the total size in MB for all the partitions. This is usually used when sorting is needed.

type DasetsetMetadata 

type DasetsetMetadata struct {
	TotalSize int64
	OnDisk    ModeIO
}

type DasetsetShardMetadata 

type DasetsetShardMetadata struct {
	TotalSize int64
	Timestamp time.Time
	URI       string
	Status    DatasetShardStatus
	Error     error
}

type Dataset 

type Dataset struct {
	Flow            *Flow
	Id              int
	Shards          []*DatasetShard
	Step            *Step
	ReadingSteps    []*Step
	IsPartitionedBy []int
	IsLocalSorted   []instruction.OrderBy
	Meta            *DasetsetMetadata
	RunLocked
}

func (*Dataset) Broadcast 

func (d *Dataset) Broadcast(name string, shardCount int) *Dataset

Broadcast replicates itself to all shards.

func (*Dataset) CoGroup 

func (d *Dataset) CoGroup(name string, other *Dataset, sortOption *SortOption) *Dataset

CoGroup joins two datasets by the key, Each result row becomes this format: 

(key, []left_rows, []right_rows)

func (*Dataset) CoGroupPartitionedSorted 

func (this *Dataset) CoGroupPartitionedSorted(name string, that *Dataset, indexes []int) (ret *Dataset)

CoGroupPartitionedSorted joins 2 datasets that are sharded by the same key and already locally sorted within each shard.

func (*Dataset) Distinct 

func (d *Dataset) Distinct(name string, sortOption *SortOption) *Dataset

Distinct sort on specific fields and pick the unique ones. Required Memory: about same size as each partition. example usage: Distinct(Field(1,2)) means distinct on field 1 and 2. TODO: optimize for low cardinality case.

func (*Dataset) Do 

func (d *Dataset) Do(fn func(*Dataset) *Dataset) *Dataset

Do accepts a function to transform a dataset into a new dataset. This allows custom complicated pre-built logic.

func (*Dataset) DoJoin 

func (d *Dataset) DoJoin(name string, other *Dataset, leftOuter, rightOuter bool, sortOption *SortOption) *Dataset

func (*Dataset) Fprintf 

func (d *Dataset) Fprintf(writer io.Writer, format string) *Dataset

Fprintf formats using the format for each row and writes to writer.

func (*Dataset) Fprintlnf 

func (d *Dataset) Fprintlnf(writer io.Writer, format string) *Dataset

Fprintlnf add "\n" at the end of each format

func (*Dataset) GetIsOnDiskIO 

func (d *Dataset) GetIsOnDiskIO() bool

GetIsOnDiskIO returns true if the dataset is persisted to disk in distributed mode.

func (*Dataset) GetPartitionSize 

func (d *Dataset) GetPartitionSize() int64

GetPartitionSize returns the size in MB for each partition of the dataset. This is based on the hinted total size divided by the number of partitions.

func (*Dataset) GetShards 

func (d *Dataset) GetShards() []*DatasetShard

func (*Dataset) GetTotalSize 

func (d *Dataset) GetTotalSize() int64

GetTotalSize returns the total size in MB for the dataset. This is based on the given hint.

func (*Dataset) GroupBy 

func (d *Dataset) GroupBy(name string, sortOption *SortOption) *Dataset

GroupBy e.g. GroupBy("", Field(1,2,3)) group data by field 1,2,3

func (*Dataset) HashJoin 

func (bigger *Dataset) HashJoin(name string, smaller *Dataset, sortOption *SortOption) *Dataset

HashJoin joins two datasets by putting the smaller dataset in memory on all executors and streams through the bigger dataset.

func (*Dataset) Hint 

func (d *Dataset) Hint(options ...DasetsetHint) *Dataset

Hint adds options for previous dataset.

func (*Dataset) Join 

func (d *Dataset) Join(name string, other *Dataset, sortOption *SortOption) *Dataset

Join joins two datasets by the key.

func (*Dataset) JoinByKey 

func (d *Dataset) JoinByKey(name string, other *Dataset) *Dataset

func (*Dataset) JoinPartitionedSorted 

func (this *Dataset) JoinPartitionedSorted(name string, that *Dataset, sortOption *SortOption,
	isLeftOuterJoin, isRightOuterJoin bool) *Dataset

JoinPartitionedSorted Join multiple datasets that are sharded by the same key, and locally sorted within the shard

func (*Dataset) LeftOuterJoin 

func (d *Dataset) LeftOuterJoin(name string, other *Dataset, sortOption *SortOption) *Dataset

func (*Dataset) LeftOuterJoinByKey 

func (d *Dataset) LeftOuterJoinByKey(name string, other *Dataset) *Dataset

func (*Dataset) LocalDistinct 

func (d *Dataset) LocalDistinct(name string, sortOption *SortOption) *Dataset

func (*Dataset) LocalGroupBy 

func (d *Dataset) LocalGroupBy(name string, sortOption *SortOption) *Dataset

func (*Dataset) LocalHashAndJoinWith 

func (this *Dataset) LocalHashAndJoinWith(name string, that *Dataset, sortOption *SortOption) *Dataset

func (*Dataset) LocalLimit 

func (d *Dataset) LocalLimit(name string, n int, offset int) *Dataset

LocalLimit take the local first n rows and skip all other rows.

func (*Dataset) LocalReduceBy 

func (d *Dataset) LocalReduceBy(name string, reducerId gio.ReducerId, sortOption *SortOption) *Dataset

func (*Dataset) LocalSort 

func (d *Dataset) LocalSort(name string, sortOption *SortOption) *Dataset

func (*Dataset) LocalTop 

func (d *Dataset) LocalTop(name string, n int, sortOption *SortOption) *Dataset

func (*Dataset) Map 

func (d *Dataset) Map(name string, mapperId gio.MapperId) *Dataset

Mapper runs the mapper registered to the mapperId. This is used to execute pure Go code.

func (*Dataset) MergeSortedTo 

func (d *Dataset) MergeSortedTo(name string, partitionCount int) (ret *Dataset)

func (*Dataset) MergeTo 

func (d *Dataset) MergeTo(name string, partitionCount int) (ret *Dataset)

func (*Dataset) OnDisk 

func (d *Dataset) OnDisk(fn func(*Dataset) *Dataset) *Dataset

OnDisk ensure the intermediate dataset are persisted to disk. This allows executors to run not in parallel if executors are limited.

func (*Dataset) Output 

func (d *Dataset) Output(f func(io.Reader) error) *Dataset

Output concurrently collects outputs from previous step to the driver.

func (*Dataset) OutputRow 

func (d *Dataset) OutputRow(f func(*util.Row) error) *Dataset

func (*Dataset) Partition 

func (d *Dataset) Partition(name string, shard int, sortOption *SortOption) *Dataset

hash data or by data key, return a new dataset This is divided into 2 steps: 1. Each record is sharded to a local shard 2. The destination shard will collect its child shards and merge into one

func (*Dataset) PartitionByKey 

func (d *Dataset) PartitionByKey(name string, shard int) *Dataset

func (*Dataset) Pipe 

func (d *Dataset) Pipe(name, code string) *Dataset

Pipe runs the code as an external program, which processes the tab-separated input from the program's stdin, and outout to stdout also in tab-separated lines.

func (*Dataset) PipeAsArgs 

func (d *Dataset) PipeAsArgs(name, code string) *Dataset

PipeAsArgs takes each row of input, bind to variables in parameter code. The variables are specified via $1, $2, etc. The code is run as the command for an external program for each row of input.

Watch for performance impact since it starts one Os process for each line of input.

func (*Dataset) Printf 

func (d *Dataset) Printf(format string) *Dataset

Printf prints to os.Stdout in the specified format

func (*Dataset) Printlnf 

func (d *Dataset) Printlnf(format string) *Dataset

Printlnf prints to os.Stdout in the specified format, adding an "\n" at the end of each format

func (*Dataset) Reduce 

func (d *Dataset) Reduce(name string, reducerId gio.ReducerId) (ret *Dataset)

Reduce runs the reducer registered to the reducerId, combining all rows into one row

func (*Dataset) ReduceBy 

func (d *Dataset) ReduceBy(name string, reducerId gio.ReducerId, keyFields *SortOption) (ret *Dataset)

func (*Dataset) ReduceByKey 

func (d *Dataset) ReduceByKey(name string, reducerId gio.ReducerId) (ret *Dataset)

ReduceByKey runs the reducer registered to the reducerId, combining rows with the same key fields into one row

func (*Dataset) RightOuterJoin 

func (d *Dataset) RightOuterJoin(name string, other *Dataset, sortOption *SortOption) *Dataset

func (*Dataset) RightOuterJoinByKey 

func (d *Dataset) RightOuterJoinByKey(name string, other *Dataset) *Dataset

func (*Dataset) RoundRobin 

func (d *Dataset) RoundRobin(name string, n int) *Dataset

func (*Dataset) Run 

func (d *Dataset) Run(option ...FlowOption)

Run starts the whole flow. This is a convenient method, same as *Flow.Run()

func (*Dataset) RunContext 

func (d *Dataset) RunContext(ctx context.Context, option ...FlowOption)

Run starts the whole flow. This is a convenient method, same as *Flow.RunContext()

func (*Dataset) SaveFirstRowTo 

func (d *Dataset) SaveFirstRowTo(decodedObjects ...interface{}) *Dataset

SaveFirstRowTo saves the first row's values into the operands.

func (*Dataset) Select 

func (d *Dataset) Select(name string, sortOption *SortOption) *Dataset

Select selects multiple fields into the next dataset. The index starts from 1. The first one is the key

func (*Dataset) SelectKV 

func (d *Dataset) SelectKV(name string, keys, values *SortOption) *Dataset

Select selects multiple fields into the next dataset. The index starts from 1.

func (*Dataset) Sort 

func (d *Dataset) Sort(name string, sortOption *SortOption) *Dataset

Sort sort on specific fields, default to the first field. Required Memory: about same size as each partition. example usage: Sort(Field(1,2)) means sorting on field 1 and 2.

func (*Dataset) SortByKey 

func (d *Dataset) SortByKey(name string) *Dataset

func (*Dataset) Top 

func (d *Dataset) Top(name string, k int, sortOption *SortOption) *Dataset

Top streams through total n items, picking reverse ordered k items with O(n*log(k)) complexity. Required Memory: about same size as n items in memory

func (*Dataset) TreeMergeSortedTo 

func (d *Dataset) TreeMergeSortedTo(name string, partitionCount int, factor int) (ret *Dataset)

func (*Dataset) Union 

func (this *Dataset) Union(name string, others []*Dataset, isParallel bool) *Dataset

Union union multiple Datasets as one Dataset

type DatasetShard 

type DatasetShard struct {
	Id            int
	Dataset       *Dataset
	ReadingTasks  []*Task
	IncomingChan  *util.Piper
	OutgoingChans []*util.Piper
	Counter       int64
	ReadyTime     time.Time
	CloseTime     time.Time
	Meta          *DasetsetShardMetadata
}

func (*DatasetShard) Closed 

func (s *DatasetShard) Closed() bool

func (*DatasetShard) Name 

func (s *DatasetShard) Name() string

func (*DatasetShard) TimeTaken 

func (s *DatasetShard) TimeTaken() time.Duration

type DatasetShardStatus 

type DatasetShardStatus int
const (
	Untouched DatasetShardStatus = iota
	LocationAssigned
	InProgress
	InRetry
	Failed
	Successful
)

type Flow 

type Flow struct {
	Name     string
	Steps    []*Step
	Datasets []*Dataset
	HashCode uint32
}

func New 

func New(name string) (fc *Flow)

func (*Flow) AddAllToAllStep 

func (f *Flow) AddAllToAllStep(input *Dataset, output *Dataset) (step *Step)

func (*Flow) AddAllToOneStep 

func (f *Flow) AddAllToOneStep(input *Dataset, output *Dataset) (step *Step)

the task should run on the destination dataset shard

func (*Flow) AddLinkedNToOneStep 

func (f *Flow) AddLinkedNToOneStep(input *Dataset, m int, output *Dataset) (step *Step)

func (*Flow) AddOneToAllStep 

func (f *Flow) AddOneToAllStep(input *Dataset, output *Dataset) (step *Step)

the task should run on the source dataset shard input is nil for initial source dataset

func (*Flow) AddOneToEveryNStep 

func (f *Flow) AddOneToEveryNStep(input *Dataset, n int, output *Dataset) (step *Step)

func (*Flow) AddOneToOneStep 

func (f *Flow) AddOneToOneStep(input *Dataset, output *Dataset) (step *Step)

the tasks should run on the source dataset shard

func (*Flow) Bytes 

func (fc *Flow) Bytes(slice [][]byte) (ret *Dataset)

Bytes begins a flow with an [][]byte

func (*Flow) Channel 

func (fc *Flow) Channel(ch chan interface{}) (ret *Dataset)

Channel accepts a channel to feed into the flow.

func (*Flow) Hint 

func (d *Flow) Hint(options ...FlowHintOption)

Hint adds hints to the flow.

func (*Flow) Ints 

func (fc *Flow) Ints(numbers []int) (ret *Dataset)

Ints begins a flow with an []int

func (*Flow) Listen 

func (fc *Flow) Listen(network, address string) (ret *Dataset)

Listen receives textual inputs via a socket. Multiple parameters are separated via tab.

func (*Flow) MergeDatasets1ShardTo1Step 

func (f *Flow) MergeDatasets1ShardTo1Step(inputs []*Dataset, output *Dataset) (step *Step)

All dataset should have the same number of shards.

func (*Flow) NewNextDataset 

func (fc *Flow) NewNextDataset(shardSize int) (ret *Dataset)

func (*Flow) NewStep 

func (fc *Flow) NewStep() (step *Step)

func (*Flow) OnInterrupt 

func (fc *Flow) OnInterrupt()

func (*Flow) Read 

func (fc *Flow) Read(s Sourcer) (ret *Dataset)

Read accepts a function to read data into the flow, creating a new dataset. This allows custom complicated pre-built logic for new data sources.

func (*Flow) Run 

func (fc *Flow) Run(options ...FlowOption)

func (*Flow) RunContext 

func (fc *Flow) RunContext(ctx context.Context, options ...FlowOption)

func (*Flow) Slices 

func (fc *Flow) Slices(slices [][]interface{}) (ret *Dataset)

Slices begins a flow with an [][]interface{}

func (*Flow) Source 

func (fc *Flow) Source(name string, f func(io.Writer, *pb.InstructionStat) error) (ret *Dataset)

Source produces data feeding into the flow. Function f writes to this writer. The written bytes should be MsgPack encoded []byte. Use util.EncodeRow(...) to encode the data before sending to this channel

func (*Flow) Strings 

func (fc *Flow) Strings(lines []string) (ret *Dataset)

Strings begins a flow with an []string

type FlowConfig 

type FlowConfig struct {
	OnDisk bool
}

type FlowHintOption 

type FlowHintOption func(c *FlowConfig)

type FlowOption 

type FlowOption interface {
	GetFlowRunner() FlowRunner
}

type FlowRunner 

type FlowRunner interface {
	RunFlowContext(context.Context, *Flow)
}

type ModeIO 

type ModeIO int
const (
	ModeInMemory ModeIO = iota
	ModeOnDisk
)

type NetworkType 

type NetworkType int
const (
	OneShardToOneShard NetworkType = iota
	OneShardToAllShard
	AllShardToOneShard
	OneShardToEveryNShard
	LinkedNShardToOneShard
	MergeTwoShardToOneShard
	AllShardTOAllShard
)

type RunLocked 

type RunLocked struct {
	sync.Mutex
	StartTime time.Time
}

type SortOption 

type SortOption struct {
	// contains filtered or unexported fields
}

func Field 

func Field(indexes ...int) *SortOption

func OrderBy 

func OrderBy(index int, ascending bool) *SortOption

func (*SortOption) By 

func (o *SortOption) By(index int, ascending bool) *SortOption

OrderBy chains a list of sorting order by

func (*SortOption) Indexes 

func (o *SortOption) Indexes() []int

return a list of indexes

func (*SortOption) String 

func (o *SortOption) String() string

type Sourcer 

type Sourcer interface {
	Generate(*Flow) *Dataset
}

type Step 

type Step struct {
	Id             int
	Flow           *Flow
	InputDatasets  []*Dataset
	OutputDataset  *Dataset
	Function       func([]io.Reader, []io.Writer, *pb.InstructionStat) error
	Instruction    instruction.Instruction
	Tasks          []*Task
	Name           string
	Description    string
	NetworkType    NetworkType
	IsOnDriverSide bool
	IsPipe         bool
	IsGoCode       bool
	Script         script.Script
	Command        *script.Command // used in Pipe()
	Meta           *StepMetadata
	Params         map[string]interface{}
	RunLocked
}

func (*Step) GetScriptCommand 

func (step *Step) GetScriptCommand() *script.Command

func (*Step) NewTask 

func (step *Step) NewTask() (task *Task)

func (*Step) RunFunction 

func (step *Step) RunFunction(task *Task) error

func (*Step) SetInstruction 

func (step *Step) SetInstruction(prefix string, ins instruction.Instruction)

type StepMetadata 

type StepMetadata struct {
	IsRestartable bool
	IsIdempotent  bool
}

type Task 

type Task struct {
	Id           int
	Step         *Step
	InputShards  []*DatasetShard
	InputChans   []*util.Piper // task specific input chans. InputShard may have multiple reading tasks
	OutputShards []*DatasetShard
	Stat         *pb.InstructionStat
}

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