org.apache.pig.builtin

Class BinStorage

java.lang.Object

org.apache.pig.LoadFunc

org.apache.pig.FileInputLoadFunc

org.apache.pig.builtin.BinStorage

All Implemented Interfaces:

LoadMetadata, OrderedLoadFunc, StoreFuncInterface

public class BinStorage
extends FileInputLoadFunc
implements StoreFuncInterface, LoadMetadata

Load and store data in a binary format. This class is used by Pig to move data between MapReduce jobs. Use of this function for storing user data is supported.

Field Summary

Fields

Modifier and Type	Field and Description
protected long	end

Constructor Summary

Constructors

Constructor and Description
BinStorage()
BinStorage(String casterString)

Method Summary

Modifier and Type	Method and Description
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.
void	cleanupOnSuccess(String location, org.apache.hadoop.mapreduce.Job job) This method will be called by Pig if the job which contains this store is successful, and some cleanup of intermediate resources is required.
org.apache.hadoop.mapreduce.InputFormat	getInputFormat() This will be called during planning on the front end.
LoadCaster	getLoadCaster() This will be called on both the front end and the back end during execution.
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.
byte[]	toBytes(Boolean b)
byte[]	toBytes(DataBag bag)
byte[]	toBytes(org.joda.time.DateTime dt)
byte[]	toBytes(Double d)
byte[]	toBytes(Float f)
byte[]	toBytes(Integer i)
byte[]	toBytes(Long l)
byte[]	toBytes(Map<String,Object> m)
byte[]	toBytes(String s)
byte[]	toBytes(Tuple t)

Methods inherited from class org.apache.pig.FileInputLoadFunc

getSplitComparable

Methods inherited from class org.apache.pig.LoadFunc

getAbsolutePath, getCacheFiles, getPathStrings, getShipFiles, join, relativeToAbsolutePath, setUDFContextSignature, warn

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Field Detail

end

protected long end

Constructor Detail

BinStorage

public BinStorage()

BinStorage

public BinStorage(String casterString)

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

toBytes

public byte[] toBytes(DataBag bag)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(String s)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Double d)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Float f)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Integer i)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Long l)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Boolean b)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(org.joda.time.DateTime dt)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Map<String,Object> m)
               throws IOException

Throws:

IOException

toBytes

public byte[] toBytes(Tuple t)
               throws IOException

Throws:

IOException

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

getLoadCaster

public LoadCaster getLoadCaster()
                         throws IOException

Description copied from class: LoadFunc

This will be called on both the front end and the back end during execution.

Overrides:

getLoadCaster in class LoadFunc

Returns:

the LoadCaster associated with this loader. Returning null indicates that casts from byte array are not supported for this loader. construction

Throws:

IOException - if there is an exception during LoadCaster

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 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.

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 JobContextImpl.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 JobContextImpl.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. If the implementing class also extends LoadFunc, then LoadFunc.setLocation(String, org.apache.hadoop.mapreduce.Job) is guaranteed to be called before this method.

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 JobContextImpl.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 JobContextImpl.getConfiguration() and not to set/query any runtime job information.

Throws:

IOException

cleanupOnSuccess

public void cleanupOnSuccess(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 is successful, and some cleanup of intermediate resources is required. Implementations can clean up output locations in this method to ensure that no incorrect/incomplete results are left in the output location

Specified by:

cleanupOnSuccess 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 JobContextImpl.getConfiguration() and not to set/query any runtime job information.

Throws:

IOException