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How do you handle a large volume of data in DataStage?

JobAdvise Editors by JobAdvise Editors
August 8, 2022
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Partitioning should be set in such a way so as to have balanced data flow i.e. nearly equal partitioning of data should occur and data skew should be minimized. Memory: In DataStage Jobs where high volume of data is processed, virtual memory settings for the job should be optimized.

Beside this, What is RCP in DataStage?

Runtime column propagation (RCP) allows InfoSphere® DataStage® to be flexible about the columns you define in a job. If RCP is enabled for a project, you can just define the columns you are interested in using in a job, but ask InfoSphere DataStage to propagate the other columns through the various stages.

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Considering this, How do you handle rejects in DataStage?

What is sequential file in DataStage?

The Sequential File stage is a file stage that allows you to read data from or write data one or more flat files. The stage can have a single input link or a single output link, and a single rejects link.

Keeping this in consideration, What is schema file in DataStage? The schema file is a plain text file, this appendix describes its format. A partial schema has the same format. Note: If you are using a schema file on an NLS system, the schema file needs to be in UTF-8 format. It is, however, easy to convert text files between two different maps with a InfoSphere® DataStage® job.

What is sort stage in Datastage?

The Sort stage is a processing stage that is used to perform more complex sort operations than can be provided for on the Input page Partitioning tab of parallel job stage editors. You can also use the Sort stage to insert a more explicit simple sort operation where you want to make your job easier to understand.

Which stage does not allow reject link in Datastage?

D. Explanation: Reject links are not supported by any connectivity source stage. This includes the Px Sybase, Px ODBC, PxDB2Z, Px Classic Federation stages,Px DB2and Px Oracle stages.

What is lookup Datastage?

The Lookup stage is a processing stage that is used to perform lookup operations on a data set read into memory from any other Parallel job stage that can output data.

What is DataStage ETL tool?

IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition.

How do you handle null values in sequential file in DataStage?

Open Sequential File—> Go to Format—>click on Field Defaults—>bottom right side you will find AVAILABLE Properties to ADD, Under that select, “NULL FIELD VALUE” and give the value as ” 0″ [zero]. You’ll get the Null records in your output sequential file. they are handled first.

What are the components of DataStage?

Three components comprise the DataStage server:

  • Repository. The Repository stores all the information required for building and running an ETL job.
  • DataStage Server. The DataStage Server runs jobs that extract, transform, and load data into the warehouse.
  • DataStage Package Installer.

How many description annotations can be used in a parallel job on DataStage server?

Description Annotation shows the contents of a job description field. One description annotation is allowed in a datastage job.

What is dataset in DataStage?

The Data Set stage allows you to store data being operated on in a persistent form, which can then be used by other InfoSphere® DataStage® jobs. Data sets are operating system files, each referred to by a control file, which by convention has the suffix .

What is stable and unique Sort in Datastage?

Stable sort (this is the default and specifies that previously sorted data sets are preserved). Unique sort (discards records if multiple records have identical sorting key values).

How do you remove duplicates using the Sort stage in Datastage?

You can use sort stage to sort the data using sort key for the column you want to remove duplicate ,in sort stage keep the Key_change property as true,it will generate a column having two values 1 and 0.1 is for unique and 0 for duplicate then take the transformer stage and click on constraints property in that chose …

What is cluster key change column in Datastage?

Create cluster key change column

The clusterKeyChange column is set to 1 for the first record in each group where groups are defined by using a Sort Key Mode of Don’t Sort (Previously Sorted) or Don’t Sort (Previously Grouped). Subsequent records in the group have the clusterKeyChange column set to 0.

When would you use transformer’s reject link?

Reject links output rows that have not been written on any other output links from the Transformer stage because they have failed or constraints or because a write failure has occurred. To define a constraint or specify an otherwise link, do one of the following: Select an output link and click the constraints button.

How do you capture rejected records in transformer stage in Datastage?

To capture rejected duplicates use a Transformer. Partition and sort on your primary key. In a transformer keep the primary key stored in a Stage Variable. Compare incoming primary key to the stored primary key Stage Variable.

Which stage allows you to specify several reject links?

Unlike Join stages and Lookup stages, the Merge stage allows you to specify several reject links. You can route update link rows that fail to match a master row down a reject link that is specific for that link. You must have the same number of reject links as you have update links.

What are the two types of lookups in DataStage?

There are two types of Lookups in Datastage i.e. Normal lkp and Sparse lkp. In Normal lkp, the data is saved in the memory first and then the lookup is performed. In Sparse lkp, the data is directly saved in the database.

What are the two types of lookups?

There are two forms of Lookup: Vector and Array. The vector form of the LOOKUP function will search one row or one column of data for a specified value and then get the data from the same position in another row or column.

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