org.apache.pig.piggybank.storage.avro

Class AvroStorage

java.lang.Object

org.apache.pig.LoadFunc

org.apache.pig.FileInputLoadFunc

org.apache.pig.piggybank.storage.avro.AvroStorage

All Implemented Interfaces:

LoadMetadata, OrderedLoadFunc, StoreFuncInterface

public class AvroStorage
extends FileInputLoadFunc
implements StoreFuncInterface, LoadMetadata

AvroStorage is used to load/store Avro data
Document can be found here

Constructor Summary

Constructors

Constructor and Description
AvroStorage() Empty constructor.
AvroStorage(java.lang.String[] parts) Constructor of quoted string list

Method Summary

Methods

Modifier and Type	Method and Description
void	checkSchema(ResourceSchema s) Append newly specified schema
void	cleanupOnFailure(java.lang.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(java.lang.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.
protected org.apache.avro.Schema	getAvroSchema(org.apache.hadoop.fs.Path path, org.apache.hadoop.fs.FileSystem fs) Get avro schema of input path.
protected org.apache.avro.Schema	getAvroSchema(java.util.Set<org.apache.hadoop.fs.Path> paths, org.apache.hadoop.conf.Configuration conf) Get avro schema of first input file that matches the location pattern.
org.apache.hadoop.mapreduce.InputFormat	getInputFormat() This will be called during planning on the front end.
protected org.apache.avro.Schema	getMergedSchema(java.util.Set<org.apache.hadoop.fs.Path> basePaths, org.apache.hadoop.conf.Configuration conf) Merge multiple input avro schemas into one.
Tuple	getNext() Retrieves the next tuple to be processed.
org.apache.hadoop.mapreduce.OutputFormat	getOutputFormat() Return the OutputFormat associated with StoreFuncInterface.
java.lang.String[]	getPartitionKeys(java.lang.String location, org.apache.hadoop.mapreduce.Job job) Find what columns are partition keys for this input.
protected org.apache.avro.Schema	getSchema(org.apache.hadoop.fs.Path path, org.apache.hadoop.fs.FileSystem fs) This method is called by getAvroSchema(java.util.Set<org.apache.hadoop.fs.Path>, org.apache.hadoop.conf.Configuration).
ResourceSchema	getSchema(java.lang.String location, org.apache.hadoop.mapreduce.Job job) Get avro schema from "location" and return the converted PigSchema.
protected org.apache.avro.Schema	getSchemaFromFile(org.apache.hadoop.fs.Path path, org.apache.hadoop.fs.FileSystem fs) This method is called to return the schema of an avro schema file.
ResourceStatistics	getStatistics(java.lang.String location, org.apache.hadoop.mapreduce.Job job) Get statistics about the data to be loaded.
protected void	init(java.util.Map<java.lang.String,java.lang.Object> inputs) Initialize output avro schema using input property map
protected java.util.Map<java.lang.String,java.lang.Object>	parseJsonString(java.lang.String jsonString) build a property map from a json object
protected java.util.Map<java.lang.String,java.lang.Object>	parseStringList(java.lang.String[] parts) build a property map from a string list
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.
java.lang.String	relToAbsPathForStoreLocation(java.lang.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.
protected void	setInputAvroSchema(java.util.Set<org.apache.hadoop.fs.Path> paths, org.apache.hadoop.conf.Configuration conf) Set input avro schema.
void	setLocation(java.lang.String location, org.apache.hadoop.mapreduce.Job job) Set input location and obtain input schema.
void	setPartitionFilter(Expression partitionFilter) Set the filter for partitioning.
void	setStoreFuncUDFContextSignature(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 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(java.lang.String location, org.apache.hadoop.mapreduce.Job job) Communicate to the storer the location where the data needs to be stored.
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.

Methods inherited from class org.apache.pig.FileInputLoadFunc

getSplitComparable

Methods inherited from class org.apache.pig.LoadFunc

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

Methods inherited from class java.lang.Object

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

Constructor Detail

AvroStorage

public AvroStorage()

Empty constructor. Output schema is derived from pig schema.

AvroStorage

public AvroStorage(java.lang.String[] parts)
            throws java.io.IOException,
                   org.json.simple.parser.ParseException

Constructor of quoted string list

Parameters:

parts - quoted string list

Throws:

java.io.IOException

org.json.simple.parser.ParseException

Method Detail

setLocation

public void setLocation(java.lang.String location,
               org.apache.hadoop.mapreduce.Job job)
                 throws java.io.IOException

Set input location and obtain input schema.

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:

java.io.IOException - if the location is not valid.

setUDFContextSignature

public void setUDFContextSignature(java.lang.String signature)

Description copied from class: LoadFunc

This method will be called by Pig both in the front end and back end to pass a unique signature to the 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

Overrides:

setUDFContextSignature in class LoadFunc

Parameters:

signature - a unique signature to identify this LoadFunc

setInputAvroSchema

protected void setInputAvroSchema(java.util.Set<org.apache.hadoop.fs.Path> paths,
                      org.apache.hadoop.conf.Configuration conf)
                           throws java.io.IOException

Set input avro schema. If the 'multiple_schemas' option is enabled, we merge multiple schemas and use that merged schema; otherwise, we simply use the schema from the first file in the paths set.

Parameters:

paths - set of input files

conf - configuration

Throws:

java.io.IOException

getAvroSchema

protected org.apache.avro.Schema getAvroSchema(java.util.Set<org.apache.hadoop.fs.Path> paths,
                                   org.apache.hadoop.conf.Configuration conf)
                                        throws java.io.IOException

Get avro schema of first input file that matches the location pattern.

Parameters:

paths - set of input files

conf - configuration

Returns:

avro schema

Throws:

java.io.IOException

getAvroSchema

protected org.apache.avro.Schema getAvroSchema(org.apache.hadoop.fs.Path path,
                                   org.apache.hadoop.fs.FileSystem fs)
                                        throws java.io.IOException

Get avro schema of input path. There are three cases: 1. if path is a file, then return its avro schema; 2. if path is a first-level directory (no sub-directories), then return the avro schema of one underlying file; 3. if path contains sub-directories, then recursively check whether all of them share the same schema and return it if so or throw an exception if not.

Parameters:

path - input path

fs - file system

Returns:

avro schema of data

Throws:

java.io.IOException - if underlying sub-directories do not share the same schema; or if input path is empty or does not exist

getMergedSchema

protected org.apache.avro.Schema getMergedSchema(java.util.Set<org.apache.hadoop.fs.Path> basePaths,
                                     org.apache.hadoop.conf.Configuration conf)
                                          throws java.io.IOException

Merge multiple input avro schemas into one. Note that we can't merge arbitrary schemas. Please see AvroStorageUtils.mergeSchema() for what's allowed and what's not allowed.

Parameters:

basePaths - set of input dir or files

conf - configuration

Returns:

avro schema

Throws:

java.io.IOException

getSchema

protected org.apache.avro.Schema getSchema(org.apache.hadoop.fs.Path path,
                               org.apache.hadoop.fs.FileSystem fs)
                                    throws java.io.IOException

This method is called by getAvroSchema(java.util.Set<org.apache.hadoop.fs.Path>, org.apache.hadoop.conf.Configuration). The default implementation returns the schema of an avro file; or the schema of the last file in a first-level directory (it does not contain sub-directories).

Parameters:

path - path of a file or first level directory

fs - file system

Returns:

avro schema

Throws:

java.io.IOException

getSchemaFromFile

protected org.apache.avro.Schema getSchemaFromFile(org.apache.hadoop.fs.Path path,
                                       org.apache.hadoop.fs.FileSystem fs)
                                            throws java.io.IOException

This method is called to return the schema of an avro schema file. This method is different than getSchema(org.apache.hadoop.fs.Path, org.apache.hadoop.fs.FileSystem), which returns the schema from a data file.

Parameters:

path - path of a file or first level directory

fs - file system

Returns:

avro schema

Throws:

java.io.IOException

getInputFormat

public org.apache.hadoop.mapreduce.InputFormat getInputFormat()
                                                       throws java.io.IOException

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.

Throws:

java.io.IOException - if there is an exception during InputFormat construction

prepareToRead

public void prepareToRead(org.apache.hadoop.mapreduce.RecordReader reader,
                 PigSplit split)
                   throws java.io.IOException

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

Throws:

java.io.IOException - if there is an exception during initialization

getNext

public Tuple getNext()
              throws java.io.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:

java.io.IOException - if there is an exception while retrieving the next tuple

getSchema

public ResourceSchema getSchema(java.lang.String location,
                       org.apache.hadoop.mapreduce.Job job)
                         throws java.io.IOException

Get avro schema from "location" and return the converted PigSchema.

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:

java.io.IOException - if an exception occurs while determining the schema

getStatistics

public ResourceStatistics getStatistics(java.lang.String location,
                               org.apache.hadoop.mapreduce.Job job)
                                 throws java.io.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 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:

java.io.IOException - if an exception occurs while retrieving statistics

getPartitionKeys

public java.lang.String[] getPartitionKeys(java.lang.String location,
                                  org.apache.hadoop.mapreduce.Job job)
                                    throws java.io.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:

java.io.IOException - if an exception occurs while retrieving partition keys

setPartitionFilter

public void setPartitionFilter(Expression partitionFilter)
                        throws java.io.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:

partitionFilter - that describes filter for partitioning

Throws:

java.io.IOException - if the filter is not compatible with the storage mechanism or contains non-partition fields.

parseJsonString

protected java.util.Map<java.lang.String,java.lang.Object> parseJsonString(java.lang.String jsonString)
                                                                    throws org.json.simple.parser.ParseException

build a property map from a json object

Parameters:

jsonString - json object in string format

Returns:

a property map

Throws:

org.json.simple.parser.ParseException

parseStringList

protected java.util.Map<java.lang.String,java.lang.Object> parseStringList(java.lang.String[] parts)
                                                                    throws java.io.IOException

build a property map from a string list

Parameters:

parts - input string list

Returns:

a property map

Throws:

java.io.IOException

org.json.simple.parser.ParseException

init

protected void init(java.util.Map<java.lang.String,java.lang.Object> inputs)
             throws java.io.IOException

Initialize output avro schema using input property map

Throws:

java.io.IOException

relToAbsPathForStoreLocation

public java.lang.String relToAbsPathForStoreLocation(java.lang.String location,
                                            org.apache.hadoop.fs.Path curDir)
                                              throws java.io.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:

java.io.IOException - if the conversion is not possible

setStoreLocation

public void setStoreLocation(java.lang.String location,
                    org.apache.hadoop.mapreduce.Job job)
                      throws java.io.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:

java.io.IOException - if the location is not valid.

checkSchema

public void checkSchema(ResourceSchema s)
                 throws java.io.IOException

Append newly specified schema

Specified by:

checkSchema in interface StoreFuncInterface

Parameters:

s - to be checked

Throws:

java.io.IOException - if this schema is not acceptable. It should include a detailed error message indicating what is wrong with the schema.

getOutputFormat

public org.apache.hadoop.mapreduce.OutputFormat getOutputFormat()
                                                         throws java.io.IOException

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

Throws:

java.io.IOException - if an exception occurs while constructing the OutputFormat

prepareToWrite

public void prepareToWrite(org.apache.hadoop.mapreduce.RecordWriter writer)
                    throws java.io.IOException

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.

Throws:

java.io.IOException - if an exception occurs during initialization

setStoreFuncUDFContextSignature

public void setStoreFuncUDFContextSignature(java.lang.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(java.lang.String location,
                    org.apache.hadoop.mapreduce.Job job)
                      throws java.io.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:

java.io.IOException

cleanupOnSuccess

public void cleanupOnSuccess(java.lang.String location,
                    org.apache.hadoop.mapreduce.Job job)
                      throws java.io.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 JobContext.getConfiguration() and not to set/query any runtime job information.

Throws:

java.io.IOException

putNext

public void putNext(Tuple t)
             throws java.io.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:

java.io.IOException - if an exception occurs during the write