| Group-By Option |
For a MapReduce job, pass these arguments:
- GroupBy Column
- The name of the column using which the records are to be grouped.
- Number of Reducer Tasks
- The number of reducer tasks required to group the records.
For a Spark job, to create a Group-By option pass these arguments:
- GroupBy Column
- The name of the column using which the records are to be grouped.
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| Match Rule |
Defines as many parent and child rules as required, to create a
MatchRule object.For more information, see MatchRule.
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| Input File |
For text files:
- File Path
- The path of the input text file on the Hadoop platform.
- Record Separator
- The record separator used in the input file.
- Field Separator
- The separator used between any two consecutive fields of a record, in the input
file.
- Text Qualifier
- The character used to surround text values in a delimited file.
- Header Row Fields
- An array of the header fields of the input file.
- Skip First Row
- Flag to indicate if the first row must be skipped while reading the input file
records.
This must be true in case the first row is a header
row.
Attention: Invoke the appropriate constructor of
FilePath.
For ORC format files:
- ORC File Path
- The path of the input ORC format file on the Hadoop platform.
For Parquet format files:
- Parquet File Path
- The path of the input Parquet format file on the Hadoop platform.
Common parameters:
- Field Mappings
- A map of key value pairs, with the existing column names as the keys and the desired
output column names as the values.
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| Output File |
For text files:
- File Path
- The path of the output text file on the Hadoop platform.
- Field Separator
- The separator used between any two consecutive fields of a record, in the output
file.
Attention: Invoke the appropriate constructor of
FilePath.
For ORC format files:
- ORC File Path
- The path of the output ORC format file on the Hadoop platform.
For Parquet format files:
- Parquet File Path
- The path of the output Parquet format file on the Hadoop platform.
Common Parameters:
- Overwrite
- Flag to indicate if output file must overwrite any existing file of same name.
- Create Output Header
- Flag to indicate if header file is to be created on the Hadoop server or not.
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| Job Name |
The name of the job. |
| Job Configurations |
The Hadoop configurations for the job. For a MapReduce job, the instance must be of
type MRJobConfig. For a Spark
job, the instance must be of type SparkJobConfig.
|
| Return Unique Candidates |
Flag to indicate whether unique candidates must be returned as part of the
output. |
| Compress Output |
Flag to indicate if the output must be compressed. Set this to
true to compress the output.
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| Match Key Settings |
A combination of the columns and the algorithms to be applied to generate the match
key, required to perform the matching. Note: Specify only one match key.
Attention: Set the match key settings only if you wish to generate a match key before
performing the matching.
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