Complex flat file stage datastage example programs

#Complex flat file stage datastage example programs update
#Complex flat file stage datastage example programs full

File SetВ stage allows users to read data from or write data to a fileset.Datasets are operating system files, each of which has a control file (.ds extension by default) and one or more data files (unreadable by other applications) Data SetВ stage allows users to read data from or write data to a dataset.Sequential fileВ is used to read data from or write data to one or more flat (sequential) files.ExpandВ extracts a previously compressed data set back into raw binary data.CompressВ вЂ“ packs a data set using a GZIP utility (or compress command on LINUX/UNIX).Provides a similar concept to the switch statement in most programming languages. SwitchВ stage assigns each input row to an output link based on the value of a selector field.Surrogate Key GeneratorВ generates surrogate key for a column and manages the key source.Pivoting data results in obtaining a dataset with fewer number of columns but more rows. It maps multiple columns in an input row to a single column in multiple output rows. Pivot EnterpriseВ is used for horizontal pivoting.GenericВ stage allows users to call an OSH operator from within DataStage stage with options as required.External FilterВ permits specifying an operating system command that acts as a filter on the processed data.DecodeВ decodes a data set previously encoded with the Encode Stage.EncodeВ encodes data with an encoding command, such as gzip.It can have two input links and one output link. CompareВ performs a column-by-column comparison of records in two presorted input data sets.Used to determine if there are differences between records.

ChecksumВ вЂ“ generates checksum from the specified columns in a row and adds it to the stream.DifferenceВ stage performs a record-by-record comparison of two input data sets and outputs a single data set whose records represent the difference between them.Change ApplyВ вЂ“ applies the change operations to a before data set to compute an after data set.Change CaptureВ вЂ“ captures before and after state of two input data sets and outputs a single data set whose records represent the changes made.TransformerВ stage handles extracted data, performs data validation, conversions and lookups.Slowly Changing DimensionВ automates the process of updating dimension tables, where the data changes in time.It removes all duplicate records according to a specification and writes to a single output Remove duplicatesВ stage needs a single sorted data set as input.Useful for renaming columns, non-default data type conversions and null handling ModifyВ stage alters the record schema of its input dataset.All inputs need to be sorted and unmatched secondary entries can be captured in multiple reject links.

#Complex flat file stage datastage example programs update

MergeВ combines one master input with multiple update inputs according to values of a key column(s).Records donвЂ™t need to be sorted and produces single output stream and a reject link.

Lookup stage can have 1 source and multiple lookup tables.

LookupВ combines two or more inputs according to values of a key column(s).

Can have 1 left and multiple right inputs (all need to be sorted) and produces single output stream (no reject link).

#Complex flat file stage datastage example programs full

Similar concept to relational DBMS SQL join (ability to perform inner, left, right and full outer joins).

JoinВ combines two or more inputs according to values of a key column(s).

FunnelВ combines multiple streams into one.

FilterВ filters out records that do not meet specified requirements.

FTPВ stage uses FTP protocol to transfer data to a remote machine.

CopyВ вЂ“ copies input data (a single stream) to one or more output data flows.

The data can be grouped using two methods: hash table or pre-sort.

AggregatorВ joins data vertically by grouping incoming data stream and calculating summaries (sum, count, min, max, variance, etc.) for each group.