public class CSVLoader extends FileInputLoadFunc implements LoadPushDown
LoadPushDown.OperatorSet, LoadPushDown.RequiredField, LoadPushDown.RequiredFieldList, LoadPushDown.RequiredFieldResponse
Modifier and Type | Field and Description |
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protected org.apache.hadoop.mapreduce.RecordReader |
in |
protected static org.apache.commons.logging.Log |
LOG |
Constructor and Description |
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CSVLoader() |
Modifier and Type | Method and Description |
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java.util.List<LoadPushDown.OperatorSet> |
getFeatures()
Determine the operators that can be pushed to the loader.
|
org.apache.hadoop.mapreduce.InputFormat |
getInputFormat()
This will be called during planning on the front end.
|
Tuple |
getNext()
Retrieves the next tuple to be processed.
|
void |
prepareToRead(org.apache.hadoop.mapreduce.RecordReader reader,
PigSplit split)
Initializes LoadFunc for reading data.
|
LoadPushDown.RequiredFieldResponse |
pushProjection(LoadPushDown.RequiredFieldList requiredFieldList)
Indicate to the loader fields that will be needed.
|
void |
setLocation(java.lang.String location,
org.apache.hadoop.mapreduce.Job job)
Communicate to the loader the location of the object(s) being loaded.
|
void |
setUDFContextSignature(java.lang.String signature)
This method will be called by Pig both in the front end and back end to
pass a unique signature to the
LoadFunc . |
getSplitComparable
getAbsolutePath, getCacheFiles, getLoadCaster, getPathStrings, getShipFiles, join, relativeToAbsolutePath, warn
protected org.apache.hadoop.mapreduce.RecordReader in
protected static final org.apache.commons.logging.Log LOG
public Tuple getNext() throws java.io.IOException
LoadFunc
public void setLocation(java.lang.String location, org.apache.hadoop.mapreduce.Job job) throws java.io.IOException
LoadFunc
LoadFunc.relativeToAbsolutePath(String, Path)
. Implementations
should use this method to communicate the location (and any other information)
to its underlying InputFormat through the Job object.
This method will be called in the frontend and backend multiple times. Implementations
should bear in mind that this method is called multiple times and should
ensure there are no inconsistent side effects due to the multiple calls.setLocation
in class LoadFunc
location
- Location as returned by
LoadFunc.relativeToAbsolutePath(String, Path)
job
- the Job
object
store or retrieve earlier stored information from the UDFContext
java.io.IOException
- if the location is not valid.public org.apache.hadoop.mapreduce.InputFormat getInputFormat() throws java.io.IOException
LoadFunc
getInputFormat
in class LoadFunc
java.io.IOException
- if there is an exception during InputFormat
constructionpublic void prepareToRead(org.apache.hadoop.mapreduce.RecordReader reader, PigSplit split) throws java.io.IOException
LoadFunc
prepareToRead
in class LoadFunc
reader
- RecordReader
to be used by this instance of the LoadFuncsplit
- The input PigSplit
to processjava.io.IOException
- if there is an exception during initializationpublic LoadPushDown.RequiredFieldResponse pushProjection(LoadPushDown.RequiredFieldList requiredFieldList) throws FrontendException
LoadPushDown
pushProjection
in interface LoadPushDown
requiredFieldList
- RequiredFieldList indicating which columns will be needed.
This structure is read only. User cannot make change to it inside pushProjection.FrontendException
public void setUDFContextSignature(java.lang.String signature)
LoadFunc
LoadFunc
. The signature can be used
to store into the UDFContext
any information which the
LoadFunc
needs to store between various method invocations in the
front end and back end. A use case is to store LoadPushDown.RequiredFieldList
passed to it in LoadPushDown.pushProjection(RequiredFieldList)
for
use in the back end before returning tuples in LoadFunc.getNext()
.
This method will be call before other methods in LoadFunc
setUDFContextSignature
in class LoadFunc
signature
- a unique signature to identify this LoadFuncpublic java.util.List<LoadPushDown.OperatorSet> getFeatures()
LoadPushDown
getFeatures
in interface LoadPushDown
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