processors

package
v1.1.1 Latest Latest
Warning

This package is not in the latest version of its module.

 Go to latest Published: Mar 3, 2016 License: MIT Imports: 19 Imported by: 0

Documentation

Overview

Package processors contains built-in DataProcessor implementations that are generic and potentially useful across any ETL project.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

This section is empty.

Types

type BigQueryConfig 

type BigQueryConfig struct {
	JsonPemPath string
	ProjectID   string
	DatasetID   string
}

BigQueryConfig is used when init'ing new BigQueryReader instances.

type BigQueryReader 

type BigQueryReader struct {
	PageSize         int    // defaults to 5000
	AggregateResults bool   // determines whether to send data as soon as available or to aggregate and send all query results, defaults to false
	UnflattenResults bool   // defaults to false
	TmpTableName     string // Used when UnflattenResults is true. default to "_ratchet_tmp"
	ConcurrencyLevel int    // See ConcurrentDataProcessor
	// contains filtered or unexported fields
}

BigQueryReader is used to query data from Google's BigQuery, and it behaves similarly to SQLReader. See SQLReader docs for explanation on static vs dynamic querying.

Note: If your data set contains nested/repeated fields you will likely want to get results back "unflattened." By default BigQuery returns results in a flattened format, which duplicates rows for each repeated value. This can be annoying to deal with, so BigQueryReader provides a "UnflattenResults" flag that will handle querying in such a way to get back unflattened results. This involves using a temporary table setting and a couple of other special query settings - read the BigQuery docs related to flatten and repeated fields for more info.

func NewBigQueryReader 

func NewBigQueryReader(config *BigQueryConfig, query string) *BigQueryReader

NewBigQueryReader returns an instance of a BigQueryExtractor ready to run a static query.

func NewDynamicBigQueryReader 

func NewDynamicBigQueryReader(config *BigQueryConfig, sqlGenerator func(data.JSON) (string, error)) *BigQueryReader

NewDynamicBigQueryReader returns an instance of a BigQueryExtractor ready to run a dynamic query based on the sqlGenerator function.

func (*BigQueryReader) Concurrency 

func (r *BigQueryReader) Concurrency() int

See ConcurrentDataProcessor

func (*BigQueryReader) Finish 

func (r *BigQueryReader) Finish(outputChan chan data.JSON, killChan chan error)

func (*BigQueryReader) ForEachQueryData 

func (r *BigQueryReader) ForEachQueryData(d data.JSON, killChan chan error, forEach func(d data.JSON))

ForEachQueryData handles generating the SQL (in case of dynamic mode), running the query and retrieving the data in data.JSON format, and then passing the results back witih the function call to forEach.

func (*BigQueryReader) ProcessData 

func (r *BigQueryReader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*BigQueryReader) String 

func (r *BigQueryReader) String() string

type BigQueryWriter 

type BigQueryWriter struct {
	ConcurrencyLevel int // See ConcurrentDataProcessor
	// contains filtered or unexported fields
}

func NewBigQueryWriter 

func NewBigQueryWriter(config *BigQueryConfig, tableName string) *BigQueryWriter

func NewBigQueryWriterForNewTable 

func NewBigQueryWriterForNewTable(config *BigQueryConfig, tableName string, fields map[string]string) *BigQueryWriter

func (*BigQueryWriter) Concurrency 

func (w *BigQueryWriter) Concurrency() int

See ConcurrentDataProcessor

func (*BigQueryWriter) Finish 

func (w *BigQueryWriter) Finish(outputChan chan data.JSON, killChan chan error)

func (*BigQueryWriter) ProcessData 

func (w *BigQueryWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*BigQueryWriter) String 

func (w *BigQueryWriter) String() string

func (*BigQueryWriter) WriteBatch 

func (w *BigQueryWriter) WriteBatch(queuedRows []map[string]interface{}) (err error)

type CSVTransformer 

type CSVTransformer struct {
	WriteHeader bool
	// contains filtered or unexported fields
}

CSVTransformer converts data.JSON objects into a CSV string object and sends it on to the next stage. In use-cases where you simply want to write to a CSV file, use CSVWriter instead.

CSVTransformer is for more complex use-cases where you need to generate CSV data and perhaps send it to multiple output stages.

func NewCSVTransformer 

func NewCSVTransformer() *CSVTransformer

NewCSVTransformer returns a new CSVTransformer wrapping the given io.Writer object

func (*CSVTransformer) Finish 

func (w *CSVTransformer) Finish(outputChan chan data.JSON, killChan chan error)

func (*CSVTransformer) ProcessData 

func (w *CSVTransformer) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*CSVTransformer) String 

func (w *CSVTransformer) String() string

type CSVWriter 

type CSVWriter struct {
	Writer      *util.CSVWriter
	WriteHeader bool

	Header []string
	// contains filtered or unexported fields
}

CSVWriter is handles converting data.JSON objects into CSV format, and writing them to the given io.Writer. The Data must be a valid JSON object or a slice of valid JSON objects. If you already have Data formatted as a CSV string you can use an IoWriter instead.

func NewCSVWriter 

func NewCSVWriter(w io.Writer) *CSVWriter

NewCSVWriter returns a new CSVWriter wrapping the given io.Writer object

func (*CSVWriter) Finish 

func (w *CSVWriter) Finish(outputChan chan data.JSON, killChan chan error)

func (*CSVWriter) ProcessData 

func (w *CSVWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*CSVWriter) String 

func (w *CSVWriter) String() string

type FileReader 

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

FileReader opens and reads the contents of the given filename.

func NewFileReader 

func NewFileReader(filename string) *FileReader

NewFileReader returns a new FileReader that will read the entire contents of the given file path and send it at once. For buffered or line-by-line reading try using IoReader.

func (*FileReader) Finish 

func (r *FileReader) Finish(outputChan chan data.JSON, killChan chan error)

func (*FileReader) ProcessData 

func (r *FileReader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*FileReader) String 

func (r *FileReader) String() string

type FuncTransformer 

type FuncTransformer struct {
	Name             string // can be set for more useful log output
	ConcurrencyLevel int    // See ConcurrentDataProcessor
	// contains filtered or unexported fields
}

FuncTransformer executes the given function on each data payload, sending the resuling data to the next stage.

While FuncTransformer is useful for simple data transformation, more complicated tasks justify building a custom implementation of DataProcessor.

func NewFuncTransformer 

func NewFuncTransformer(transform func(d data.JSON) data.JSON) *FuncTransformer

func (*FuncTransformer) Concurrency 

func (t *FuncTransformer) Concurrency() int

See ConcurrentSee ConcurrentDataProcessor

func (*FuncTransformer) Finish 

func (t *FuncTransformer) Finish(outputChan chan data.JSON, killChan chan error)

func (*FuncTransformer) ProcessData 

func (t *FuncTransformer) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*FuncTransformer) String 

func (t *FuncTransformer) String() string

type HTTPRequest 

type HTTPRequest struct {
	Request *http.Request
	Client  *http.Client
}

HTTPRequest executes an HTTP request and passes along the response body. It is simply wrapping an http.Request and http.Client object. See the net/http docs for more info: https://golang.org/pkg/net/http

func NewHTTPRequest 

func NewHTTPRequest(method, url string, body io.Reader) (*HTTPRequest, error)

NewHTTPRequest creates a new HTTPRequest and is essentially wrapping net/http's NewRequest function. See https://golang.org/pkg/net/http/#NewRequest

func (*HTTPRequest) Finish 

func (r *HTTPRequest) Finish(outputChan chan data.JSON, killChan chan error)

func (*HTTPRequest) ProcessData 

func (r *HTTPRequest) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*HTTPRequest) String 

func (r *HTTPRequest) String() string

type IoReader 

type IoReader struct {
	Reader     io.Reader
	LineByLine bool // defaults to true
	BufferSize int
	Gzipped    bool
}

IoReader wraps an io.Reader and reads it.

func NewIoReader 

func NewIoReader(reader io.Reader) *IoReader

NewIoReader returns a new IoReader wrapping the given io.Reader object.

func (*IoReader) Finish 

func (r *IoReader) Finish(outputChan chan data.JSON, killChan chan error)

func (*IoReader) ForEachData 

func (r *IoReader) ForEachData(killChan chan error, foo func(d data.JSON))

func (*IoReader) ProcessData 

func (r *IoReader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*IoReader) String 

func (r *IoReader) String() string

type IoReaderWriter 

type IoReaderWriter struct {
	IoReader
	IoWriter
}

IoReaderWriter performs both the job of a IoReader and IoWriter. It will read data from the given io.Reader, write the resulting data to the given io.Writer, and (if the write was successful) send the data to the next stage of processing.

IoReaderWriter is composed of both a IoReader and IoWriter, so it supports all of the same properties and usage options.

func NewIoReaderWriter 

func NewIoReaderWriter(reader io.Reader, writer io.Writer) *IoReaderWriter

NewIoReaderWriter returns a new IoReaderWriter wrapping the given io.Reader object

func (*IoReaderWriter) Finish 

func (r *IoReaderWriter) Finish(outputChan chan data.JSON, killChan chan error)

func (*IoReaderWriter) ProcessData 

func (r *IoReaderWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*IoReaderWriter) String 

func (r *IoReaderWriter) String() string

type IoWriter 

type IoWriter struct {
	Writer     io.Writer
	AddNewline bool
}

IoWriter wraps any io.Writer object. It can be used to write data out to a File, os.Stdout, or any other task that can be supported via io.Writer.

func NewIoWriter 

func NewIoWriter(writer io.Writer) *IoWriter

NewIoWriter returns a new IoWriter wrapping the given io.Writer object

func (*IoWriter) Finish 

func (w *IoWriter) Finish(outputChan chan data.JSON, killChan chan error)

func (*IoWriter) ProcessData 

func (w *IoWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*IoWriter) String 

func (w *IoWriter) String() string

type Passthrough 

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

Passthrough simply passes the data on to the next stage.

func NewPassthrough 

func NewPassthrough() *Passthrough

func (*Passthrough) Finish 

func (r *Passthrough) Finish(outputChan chan data.JSON, killChan chan error)

func (*Passthrough) ProcessData 

func (r *Passthrough) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*Passthrough) String 

func (r *Passthrough) String() string

type RegexpMatcher 

type RegexpMatcher struct {

	// Set to true to log each match attempt (logger must be in debug mode).
	DebugLog bool
	// contains filtered or unexported fields
}

RegexpMatcher checks if incoming data matches the given Regexp, and sends it on to the next stage only if it matches. It is using regexp.Match under the covers: https://golang.org/pkg/regexp/#Match

func NewRegexpMatcher 

func NewRegexpMatcher(pattern string) *RegexpMatcher

NewRegexpMatcher returns a new RegexpMatcher initialized with the given pattern to match.

func (*RegexpMatcher) Finish 

func (r *RegexpMatcher) Finish(outputChan chan data.JSON, killChan chan error)

func (*RegexpMatcher) ProcessData 

func (r *RegexpMatcher) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*RegexpMatcher) String 

func (r *RegexpMatcher) String() string

type S3Reader 

type S3Reader struct {
	IoReader // embeds IoReader

	DeleteObjects bool
	// contains filtered or unexported fields
}

S3Reader handles retrieving objects from S3. Use NewS3ObjectReader to read a single object, or NewS3PrefixReader to read all objects matching the same prefix in your bucket. S3Reader embeds an IoReeader, so it will support the same configuration options as IoReader.

func NewS3ObjectReader 

func NewS3ObjectReader(awsID, awsSecret, awsRegion, bucket, object string) *S3Reader

NewS3ObjectReader reads a single object from the given S3 bucket

func NewS3PrefixReader 

func NewS3PrefixReader(awsID, awsSecret, awsRegion, bucket, prefix string) *S3Reader

NewS3PrefixReader reads a all objects from the given S3 bucket that match a prefix. See http://docs.aws.amazon.com/AmazonS3/latest/dev/ListingKeysHierarchy.html S3 Delimiter will be "/"

func (*S3Reader) Finish 

func (r *S3Reader) Finish(outputChan chan data.JSON, killChan chan error)

func (*S3Reader) ProcessData 

func (r *S3Reader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*S3Reader) String 

func (r *S3Reader) String() string

type SCP 

type SCP struct {
	Port        string
	Object      string
	Destination string
}

SCP executes the scp command, sending the given file to the given destination.

func NewSCP 

func NewSCP(obj string, destination string) *SCP

func (*SCP) Finish 

func (s *SCP) Finish(outputChan chan data.JSON, killChan chan error)

func (*SCP) ProcessData 

func (s *SCP) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*SCP) Run 

func (s *SCP) Run(killChan chan error)

type SQLExecutor 

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

func NewDynamicSQLExecutor 

func NewDynamicSQLExecutor(dbConn *sql.DB, sqlGenerator func(data.JSON) (string, error)) *SQLExecutor

NewDynamicSQLExecutor returns a new SQLExecutor operating in dynamic mode.

func NewSQLExecutor 

func NewSQLExecutor(dbConn *sql.DB, sql string) *SQLExecutor

NewSQLExecutor returns a new SQLExecutor

func (*SQLExecutor) Finish 

func (s *SQLExecutor) Finish(outputChan chan data.JSON, killChan chan error)

Finish - see interface for documentation.

func (*SQLExecutor) ProcessData 

func (s *SQLExecutor) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*SQLExecutor) String 

func (s *SQLExecutor) String() string

type SQLReader 

type SQLReader struct {
	BatchSize         int
	StructDestination interface{}
	ConcurrencyLevel  int // See ConcurrentDataProcessor
	// contains filtered or unexported fields
}

SQLReader runs the given SQL and passes the resulting data to the next stage of processing.

It can operate in 2 modes: 1) Static - runs the given SQL query and ignores any received data. 2) Dynamic - generates a SQL query for each data payload it receives.

The dynamic SQL generation is implemented by passing in a "sqlGenerator" function to NewDynamicSQLReader. This allows you to write whatever code is needed to generate SQL based upon data flowing through the pipeline.

func NewDynamicSQLReader 

func NewDynamicSQLReader(dbConn *sql.DB, sqlGenerator func(data.JSON) (string, error)) *SQLReader

NewDynamicSQLReader returns a new SQLReader operating in dynamic mode.

func NewSQLReader 

func NewSQLReader(dbConn *sql.DB, sql string) *SQLReader

NewSQLReader returns a new SQLReader operating in static mode.

func (*SQLReader) Concurrency 

func (s *SQLReader) Concurrency() int

See ConcurrentDataProcessor

func (*SQLReader) Finish 

func (s *SQLReader) Finish(outputChan chan data.JSON, killChan chan error)

Finish - see interface for documentation.

func (*SQLReader) ForEachQueryData 

func (s *SQLReader) ForEachQueryData(d data.JSON, killChan chan error, forEach func(d data.JSON))

ForEachQueryData handles generating the SQL (in case of dynamic mode), running the query and retrieving the data in data.JSON format, and then passing the results back witih the function call to forEach.

func (*SQLReader) ProcessData 

func (s *SQLReader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

ProcessData - see interface for documentation.

func (*SQLReader) String 

func (s *SQLReader) String() string

type SQLReaderWriter 

type SQLReaderWriter struct {
	SQLReader
	SQLWriter
	ConcurrencyLevel int // See ConcurrentDataProcessor
}

SQLReaderWriter performs both the job of a SQLReader and SQLWriter. This means it will run a SQL query, write the resulting data into a SQL database, and (if the write was successful) send the queried data to the next stage of processing.

SQLReaderWriter is composed of both a SQLReader and SQLWriter, so it supports all of the same properties and usage options (such as static versus dynamic SQL querying).

func NewDynamicSQLReaderWriter 

func NewDynamicSQLReaderWriter(readConn *sql.DB, writeConn *sql.DB, sqlGenerator func(data.JSON) (string, error), writeTable string) *SQLReaderWriter

NewDynamicSQLReaderWriter returns a new SQLReaderWriter ready for dynamic querying.

func NewSQLReaderWriter 

func NewSQLReaderWriter(readConn *sql.DB, writeConn *sql.DB, readQuery, writeTable string) *SQLReaderWriter

NewSQLReaderWriter returns a new SQLReaderWriter ready for static querying.

func (*SQLReaderWriter) Concurrency 

func (s *SQLReaderWriter) Concurrency() int

See ConcurrentDataProcessor

func (*SQLReaderWriter) Finish 

func (s *SQLReaderWriter) Finish(outputChan chan data.JSON, killChan chan error)

func (*SQLReaderWriter) ProcessData 

func (s *SQLReaderWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*SQLReaderWriter) String 

func (s *SQLReaderWriter) String() string

type SQLWriter 

type SQLWriter struct {
	TableName        string
	OnDupKeyUpdate   bool
	ConcurrencyLevel int // See ConcurrentDataProcessor
	BatchSize        int
	// contains filtered or unexported fields
}

SQLWriter handles INSERTing data.JSON into a specified SQL table. If an error occurs while building or executing the INSERT, the error will be sent to the killChan.

Note that the data.JSON must be a valid JSON object or a slice of valid objects, where the keys are column names and the the values are the SQL values to be inserted into those columns.

For use-cases where a SQLWriter instance needs to write to multiple tables you can pass in SQLWriterData.

func NewSQLWriter 

func NewSQLWriter(db *sql.DB, tableName string) *SQLWriter

NewSQLWriter returns a new SQLWriter

func (*SQLWriter) Concurrency 

func (s *SQLWriter) Concurrency() int

See ConcurrentDataProcessor

func (*SQLWriter) Finish 

func (s *SQLWriter) Finish(outputChan chan data.JSON, killChan chan error)

func (*SQLWriter) ProcessData 

func (s *SQLWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

func (*SQLWriter) String 

func (s *SQLWriter) String() string

type SQLWriterData 

type SQLWriterData struct {
	TableName  string      `json:"table_name"`
	InsertData interface{} `json:"insert_data"`
}

SQLWriterData is a custom data structure you can send into a SQLWriter stage if you need to specify TableName on a per-data payload basis. No extra configuration is needed to use SQLWriterData, each data payload received is first checked for this structure before processing.

type SftpWriter 

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

SftpWriter is an inline writer to remote sftp server

func NewSftpWriter 

func NewSftpWriter(server, username, password, path string) *SftpWriter

NewSftpWriter instantiates a new sftp writer, a connection to the remote server is delayed until data is recv'd by the writer

func (*SftpWriter) Finish 

func (w *SftpWriter) Finish(outputChan chan data.JSON, killChan chan error)

Finish closes open references to the remote file and server

func (*SftpWriter) ProcessData 

func (w *SftpWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)

ProcessData writes data as is directly to the output file

func (*SftpWriter) String 

func (f *SftpWriter) String() string

Source Files

View all Source files

Jump to

Keyboard shortcuts

? : This menu
/ : Search site
f or F : Jump to
y or Y : Canonical URL
go.dev uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more.