org.apache.pig.impl.io
Class InterStorage

java.lang.Object
  extended by org.apache.pig.LoadFunc
      extended by org.apache.pig.FileInputLoadFunc
          extended by org.apache.pig.impl.io.InterStorage
All Implemented Interfaces:
LoadMetadata, OrderedLoadFunc, StoreFuncInterface

@InterfaceAudience.Private
public class InterStorage
extends FileInputLoadFunc
implements StoreFuncInterface, LoadMetadata

LOAD FUNCTION FOR PIG INTERNAL USE ONLY! This load function is used for storing intermediate data between MR jobs of a pig query. The serialization format of this load function can change in newer versions of pig, so this should NOT be used to store any persistent data.


Nested Class Summary
static class InterStorage.InterInputFormat
           
static class InterStorage.InterOutputFormat
           
 
Constructor Summary
InterStorage()
          Simple binary nested reader format
 
Method Summary
 void checkSchema(ResourceSchema s)
          Set the schema for data to be stored.
 void cleanupOnFailure(String location, org.apache.hadoop.mapreduce.Job job)
          This method will be called by Pig if the job which contains this store fails.
 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.
 org.apache.hadoop.mapreduce.OutputFormat getOutputFormat()
          Return the OutputFormat associated with StoreFuncInterface.
 String[] getPartitionKeys(String location, org.apache.hadoop.mapreduce.Job job)
          Find what columns are partition keys for this input.
 ResourceSchema getSchema(String location, org.apache.hadoop.mapreduce.Job job)
          Get a schema for the data to be loaded.
 ResourceStatistics getStatistics(String location, org.apache.hadoop.mapreduce.Job job)
          Get statistics about the data to be loaded.
 int hashCode()
           
 void prepareToRead(org.apache.hadoop.mapreduce.RecordReader reader, PigSplit split)
          Initializes LoadFunc for reading data.
 void prepareToWrite(org.apache.hadoop.mapreduce.RecordWriter writer)
          Initialize StoreFuncInterface to write data.
 void putNext(Tuple t)
          Write a tuple to the data store.
 String relToAbsPathForStoreLocation(String location, org.apache.hadoop.fs.Path curDir)
          This method is called by the Pig runtime in the front end to convert the output location to an absolute path if the location is relative.
 void setLocation(String location, org.apache.hadoop.mapreduce.Job job)
          Communicate to the loader the location of the object(s) being loaded.
 void setPartitionFilter(Expression plan)
          Set the filter for partitioning.
 void setStoreFuncUDFContextSignature(String signature)
          This method will be called by Pig both in the front end and back end to pass a unique signature to the StoreFuncInterface which it can use to store information in the UDFContext which it needs to store between various method invocations in the front end and back end.
 void setStoreLocation(String location, org.apache.hadoop.mapreduce.Job job)
          Communicate to the storer the location where the data needs to be stored.
 
Methods inherited from class org.apache.pig.FileInputLoadFunc
getSplitComparable
 
Methods inherited from class org.apache.pig.LoadFunc
getAbsolutePath, getLoadCaster, getPathStrings, join, relativeToAbsolutePath, setUDFContextSignature
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

InterStorage

public InterStorage()
Simple binary nested reader format

Method Detail

getNext

public Tuple getNext()
              throws IOException
Description copied from class: LoadFunc
Retrieves the next tuple to be processed. Implementations should NOT reuse tuple objects (or inner member objects) they return across calls and should return a different tuple object in each call.

Specified by:
getNext in class LoadFunc
Returns:
the next tuple to be processed or null if there are no more tuples to be processed.
Throws:
IOException - if there is an exception while retrieving the next tuple

putNext

public void putNext(Tuple t)
             throws IOException
Description copied from interface: StoreFuncInterface
Write a tuple to the data store.

Specified by:
putNext in interface StoreFuncInterface
Parameters:
t - the tuple to store.
Throws:
IOException - if an exception occurs during the write

getInputFormat

public org.apache.hadoop.mapreduce.InputFormat getInputFormat()
Description copied from class: LoadFunc
This will be called during planning on the front end. This is the instance of InputFormat (rather than the class name) because the load function may need to instantiate the InputFormat in order to control how it is constructed.

Specified by:
getInputFormat in class LoadFunc
Returns:
the InputFormat associated with this loader.

hashCode

public int hashCode()
Overrides:
hashCode in class Object

prepareToRead

public void prepareToRead(org.apache.hadoop.mapreduce.RecordReader reader,
                          PigSplit split)
Description copied from class: LoadFunc
Initializes LoadFunc for reading data. This will be called during execution before any calls to getNext. The RecordReader needs to be passed here because it has been instantiated for a particular InputSplit.

Specified by:
prepareToRead in class LoadFunc
Parameters:
reader - RecordReader to be used by this instance of the LoadFunc
split - The input PigSplit to process

setLocation

public void setLocation(String location,
                        org.apache.hadoop.mapreduce.Job job)
                 throws IOException
Description copied from class: LoadFunc
Communicate to the loader the location of the object(s) being loaded. The location string passed to the LoadFunc here is the return value of 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 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.

Specified by:
setLocation in class LoadFunc
Parameters:
location - Location as returned by LoadFunc.relativeToAbsolutePath(String, Path)
job - the Job object store or retrieve earlier stored information from the UDFContext
Throws:
IOException - if the location is not valid.

getOutputFormat

public org.apache.hadoop.mapreduce.OutputFormat getOutputFormat()
Description copied from interface: StoreFuncInterface
Return the OutputFormat associated with StoreFuncInterface. This will be called on the front end during planning and on the backend during execution.

Specified by:
getOutputFormat in interface StoreFuncInterface
Returns:
the OutputFormat associated with StoreFuncInterface

prepareToWrite

public void prepareToWrite(org.apache.hadoop.mapreduce.RecordWriter writer)
Description copied from interface: StoreFuncInterface
Initialize StoreFuncInterface to write data. This will be called during execution before the call to putNext.

Specified by:
prepareToWrite in interface StoreFuncInterface
Parameters:
writer - RecordWriter to use.

setStoreLocation

public void setStoreLocation(String location,
                             org.apache.hadoop.mapreduce.Job job)
                      throws IOException
Description copied from interface: StoreFuncInterface
Communicate to the storer the location where the data needs to be stored. The location string passed to the StoreFuncInterface here is the return value of StoreFuncInterface.relToAbsPathForStoreLocation(String, Path) 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. StoreFuncInterface.checkSchema(ResourceSchema) will be called before any call to StoreFuncInterface.setStoreLocation(String, Job).

Specified by:
setStoreLocation in interface StoreFuncInterface
Parameters:
location - Location returned by StoreFuncInterface.relToAbsPathForStoreLocation(String, Path)
job - The Job object
Throws:
IOException - if the location is not valid.

checkSchema

public void checkSchema(ResourceSchema s)
                 throws IOException
Description copied from interface: StoreFuncInterface
Set the schema for data to be stored. This will be called on the front end during planning if the store is associated with a schema. A Store function should implement this function to check that a given schema is acceptable to it. For example, it can check that the correct partition keys are included; a storage function to be written directly to an OutputFormat can make sure the schema will translate in a well defined way.

Specified by:
checkSchema in interface StoreFuncInterface
Parameters:
s - to be checked
Throws:
IOException - if this schema is not acceptable. It should include a detailed error message indicating what is wrong with the schema.

relToAbsPathForStoreLocation

public String relToAbsPathForStoreLocation(String location,
                                           org.apache.hadoop.fs.Path curDir)
                                    throws IOException
Description copied from interface: StoreFuncInterface
This method is called by the Pig runtime in the front end to convert the output location to an absolute path if the location is relative. The StoreFuncInterface implementation is free to choose how it converts a relative location to an absolute location since this may depend on what the location string represent (hdfs path or some other data source). The static method LoadFunc.getAbsolutePath(java.lang.String, org.apache.hadoop.fs.Path) provides a default implementation for hdfs and hadoop local file system and it can be used to implement this method.

Specified by:
relToAbsPathForStoreLocation in interface StoreFuncInterface
Parameters:
location - location as provided in the "store" statement of the script
curDir - the current working direction based on any "cd" statements in the script before the "store" statement. If there are no "cd" statements in the script, this would be the home directory -
/user/ 
Returns:
the absolute location based on the arguments passed
Throws:
IOException - if the conversion is not possible

getPartitionKeys

public String[] getPartitionKeys(String location,
                                 org.apache.hadoop.mapreduce.Job job)
                          throws IOException
Description copied from interface: LoadMetadata
Find what columns are partition keys for this input.

Specified by:
getPartitionKeys in interface LoadMetadata
Parameters:
location - Location as returned by LoadFunc.relativeToAbsolutePath(String, org.apache.hadoop.fs.Path)
job - The Job object - this should be used only to obtain cluster properties through JobContext.getConfiguration() and not to set/query any runtime job information.
Returns:
array of field names of the partition keys. Implementations should return null to indicate that there are no partition keys
Throws:
IOException - if an exception occurs while retrieving partition keys

getSchema

public ResourceSchema getSchema(String location,
                                org.apache.hadoop.mapreduce.Job job)
                         throws IOException
Description copied from interface: LoadMetadata
Get a schema for the data to be loaded.

Specified by:
getSchema in interface LoadMetadata
Parameters:
location - Location as returned by LoadFunc.relativeToAbsolutePath(String, org.apache.hadoop.fs.Path)
job - The Job object - this should be used only to obtain cluster properties through JobContext.getConfiguration() and not to set/query any runtime job information.
Returns:
schema for the data to be loaded. This schema should represent all tuples of the returned data. If the schema is unknown or it is not possible to return a schema that represents all returned data, then null should be returned. The schema should not be affected by pushProjection, ie. getSchema should always return the original schema even after pushProjection
Throws:
IOException - if an exception occurs while determining the schema

getStatistics

public ResourceStatistics getStatistics(String location,
                                        org.apache.hadoop.mapreduce.Job job)
                                 throws IOException
Description copied from interface: LoadMetadata
Get statistics about the data to be loaded. If no statistics are available, then null should be returned.

Specified by:
getStatistics in interface LoadMetadata
Parameters:
location - Location as returned by LoadFunc.relativeToAbsolutePath(String, org.apache.hadoop.fs.Path)
job - The Job object - this should be used only to obtain cluster properties through JobContext.getConfiguration() and not to set/query any runtime job information.
Returns:
statistics about the data to be loaded. If no statistics are available, then null should be returned.
Throws:
IOException - if an exception occurs while retrieving statistics

setPartitionFilter

public void setPartitionFilter(Expression plan)
                        throws IOException
Description copied from interface: LoadMetadata
Set the filter for partitioning. It is assumed that this filter will only contain references to fields given as partition keys in getPartitionKeys. So if the implementation returns null in LoadMetadata.getPartitionKeys(String, Job), then this method is not called by Pig runtime. This method is also not called by the Pig runtime if there are no partition filter conditions.

Specified by:
setPartitionFilter in interface LoadMetadata
Parameters:
plan - that describes filter for partitioning
Throws:
IOException - if the filter is not compatible with the storage mechanism or contains non-partition fields.

setStoreFuncUDFContextSignature

public void setStoreFuncUDFContextSignature(String signature)
Description copied from interface: StoreFuncInterface
This method will be called by Pig both in the front end and back end to pass a unique signature to the StoreFuncInterface which it can use to store information in the UDFContext which it needs to store between various method invocations in the front end and back end. This is necessary because in a Pig Latin script with multiple stores, the different instances of store functions need to be able to find their (and only their) data in the UDFContext object.

Specified by:
setStoreFuncUDFContextSignature in interface StoreFuncInterface
Parameters:
signature - a unique signature to identify this StoreFuncInterface

cleanupOnFailure

public void cleanupOnFailure(String location,
                             org.apache.hadoop.mapreduce.Job job)
                      throws IOException
Description copied from interface: StoreFuncInterface
This method will be called by Pig if the job which contains this store fails. Implementations can clean up output locations in this method to ensure that no incorrect/incomplete results are left in the output location

Specified by:
cleanupOnFailure in interface StoreFuncInterface
Parameters:
location - Location returned by StoreFuncInterface.relToAbsPathForStoreLocation(String, Path)
job - The Job object - this should be used only to obtain cluster properties through JobContext.getConfiguration() and not to set/query any runtime job information.
Throws:
IOException


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