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JobConf
, assuming the value
is Base64 encoded, and can be decoded back to Java
object.
name
in
the expecting_type
.
name
in the
expecting_type
.
name
.
name
.
name
.
Dataset
based on a result generated by previous
Mobius job, so that the user can continue to refine the Dataset
name
.
name
.
Class
reference by the given
fullClassName
.
Tuple
.
AbstractDatasetBuilder.dataset
, if it's null,
then AbstractDatasetBuilder.newDataset(String)
will be called
and assign AbstractDatasetBuilder.dataset
to the return object.
Dataset
this column belongs to.
name
.
name
.
idx
th
column in this tuple.
name
.
name
.
name
.
name
.
InputFormat
of this dataset.
DatasetBuildersFactory
.
name
.
name
.
name
.
name
.
name
.
ID.MAP_KEY
to access a column
named ID
, which is a map, and then use
MAP_KEY
as the key to get the value.
AbstractMobiusMapper
of this dataset.
Column.getOutputName()
.
ComputedColumns
.
Dataset
that is required in computing
the result of this function.
inputRow
,
the schema of the returned Tuple
shall be the same as
Projectable.getOutputSchema()
.
Unique
,
only output single row per group.
Tuple
which contains one single column with the
name of Column.getOutputName()
and its value is from the column
named Column.getInputColumnName()
in the inputRow
.
Tuple
which is computed and emitted
in ComputedColumns.consume(Tuple)
, each tuple has the same schema
as the one specified in the constructor.
Dataset
.
name
.
name
.
name
.
name
.
name
.
name
.
name
.
name
.
obj
in byte
format, one of the
supported type in Tuple.
URI
so that Mobius can use the URI to locate the
corresponding Dataset
.
GroupFunction
which takes the inputs
to compute some result.
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