Documentation ¶
Overview ¶
Package processors contains built-in DataProcessor implementations that are generic and potentially useful across any ETL project.
Index ¶
- type BigQueryConfig
- type BigQueryReader
- func (r *BigQueryReader) Concurrency() int
- func (r *BigQueryReader) Finish(outputChan chan data.JSON, killChan chan error)
- func (r *BigQueryReader) ForEachQueryData(d data.JSON, killChan chan error, forEach func(d data.JSON))
- func (r *BigQueryReader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)
- func (r *BigQueryReader) String() string
- type BigQueryWriter
- func (w *BigQueryWriter) Concurrency() int
- func (w *BigQueryWriter) Finish(outputChan chan data.JSON, killChan chan error)
- func (w *BigQueryWriter) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)
- func (w *BigQueryWriter) String() string
- func (w *BigQueryWriter) WriteBatch(queuedRows []map[string]interface{}) (err error)
- type CSVTransformer
- type CSVWriter
- type FileReader
- type FtpWriter
- type FuncTransformer
- type HTTPRequest
- type IoReader
- type IoReaderWriter
- type IoWriter
- type Passthrough
- type RegexpMatcher
- type S3Reader
- type SCP
- type SQLExecutor
- type SQLReader
- func (s *SQLReader) Concurrency() int
- func (s *SQLReader) Finish(outputChan chan data.JSON, killChan chan error)
- func (s *SQLReader) ForEachQueryData(d data.JSON, killChan chan error, forEach func(d data.JSON))
- func (s *SQLReader) ProcessData(d data.JSON, outputChan chan data.JSON, killChan chan error)
- func (s *SQLReader) String() string
- type SQLReaderWriter
- type SQLWriter
- type SQLWriterData
- type SftpWriter
Constants ¶
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Variables ¶
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Functions ¶
This section is empty.
Types ¶
type BigQueryConfig ¶
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 (*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 (*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 (*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 ¶
NewCSVWriter returns a new CSVWriter wrapping the given io.Writer object
func (*CSVWriter) ProcessData ¶
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 (*FileReader) String ¶
func (r *FileReader) String() string
type FtpWriter ¶ added in v1.5.0
type FtpWriter struct {
// contains filtered or unexported fields
}
FtpWriter type represents an ftp writter processer
func NewFtpWriter ¶ added in v1.5.0
NewFtpWriter instantiates new instance of an ftp writer
func (*FtpWriter) Finish ¶ added in v1.5.0
Finish closes open references to the remote file and server
func (*FtpWriter) ProcessData ¶ added in v1.5.0
ProcessData writes data as is directly to the output file
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 (*FuncTransformer) String ¶
func (t *FuncTransformer) String() string
type HTTPRequest ¶
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 (*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 ¶
NewIoReader returns a new IoReader wrapping the given io.Reader object.
func (*IoReader) ForEachData ¶
func (*IoReader) ProcessData ¶
type IoReaderWriter ¶
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 (*IoReaderWriter) String ¶
func (r *IoReaderWriter) String() string
type IoWriter ¶
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 ¶
NewIoWriter returns a new IoWriter wrapping the given io.Writer object
func (*IoWriter) ProcessData ¶
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 (*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 (*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 ¶
NewS3ObjectReader reads a single object from the given S3 bucket
func NewS3PrefixReader ¶
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) ProcessData ¶
type SCP ¶
SCP executes the scp command, sending the given file to the given destination.
func (*SCP) ProcessData ¶
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 (*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 ¶
NewDynamicSQLReader returns a new SQLReader operating in dynamic mode.
func NewSQLReader ¶
NewSQLReader returns a new SQLReader operating in static mode.
func (*SQLReader) ForEachQueryData ¶
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 ¶
ProcessData - see interface for documentation.
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 (*SQLReaderWriter) String ¶
func (s *SQLReaderWriter) String() string
type SQLWriter ¶
type SQLWriter struct { TableName string OnDupKeyUpdate bool OnDupKeyFields []string 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 ¶
NewSQLWriter returns a new SQLWriter
func (*SQLWriter) ProcessData ¶
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 ¶
ProcessData writes data as is directly to the output file
func (*SftpWriter) String ¶
func (f *SftpWriter) String() string
Source Files ¶
- big_query_reader.go
- big_query_writer.go
- csv_transformer.go
- csv_writer.go
- doc.go
- file_reader.go
- ftp_writer.go
- func_transformer.go
- http_request.go
- io_reader.go
- io_reader_writer.go
- io_writer.go
- passthrough.go
- regexp_matcher.go
- s3_reader.go
- scp.go
- sftp_writer.go
- sql_executor.go
- sql_reader.go
- sql_reader_writer.go
- sql_writer.go