org.apache.pig.piggybank.storage
Class AllLoader

java.lang.Object
  extended by org.apache.pig.LoadFunc
      extended by org.apache.pig.FileInputLoadFunc
          extended by org.apache.pig.piggybank.storage.AllLoader
All Implemented Interfaces:
LoadMetadata, LoadPushDown, OrderedLoadFunc, StoreMetadata

public class AllLoader
extends FileInputLoadFunc
implements LoadMetadata, StoreMetadata, LoadPushDown

The AllLoader provides the ability to point pig at a folder that contains files in multiple formats e.g. PlainText, Gz, Bz, Lzo, HiveRC etc and have the LoadFunc(s) automatically selected based on the file extension.
How this works:
The file extensions are mapped in the pig.properties via the property file.extension.loaders.

file.extension.loaders format

The file.extension.loaders property associate pig loaders with file extensions, if a file does not have an extension the AllLoader will look at the first three bytes of a file and try to guess its format bassed on:


The loader associated with that extension will then be used.

Path partitioning The AllLoader supports hive style path partitioning e.g. /log/type1/daydate=2010-11-01
"daydate" will be considered a partition key and filters can be written against this.
Note that the filter should go into the AllLoader contructor e.g.
a = LOAD 'input' using AllLoader('daydate<\"2010-11-01\"')
Path tags AllLoader supports configuring different loaders for the same extension based on there file path.
E.g.
We have the paths /log/type1, /log/type2
For each of these directories we'd like to use different loaders.
So we use setup our loaders:
file.extension.loaders:gz:type1:MyType1Loader, gz:type2:MyType2Loader

Sequence files Sequence files also support using the Path tags for loader selection but has an extra configuration option that relates to the Key Class used to write the Sequence file.
E.g. for HiveRC this value is: org.apache.hadoop.hive.ql.io.RCFile so we can setup our sequence file formatting:
file.extension.loaders:seq::org.apache.hadoop.hive.ql.io.RCFile: MyHiveRCLoader, seq::DefaultSequenceFileLoader

Schema The JsoneMetadata schema loader is supported and the schema will be loaded using this loader.
In case this fails, the schema can be loaded using the default schema provided.


Nested Class Summary
static class AllLoader.AllLoaderInputFormat
          InputFormat that encapsulates the correct input format based on the file type.
static class AllLoader.AllReader
          This is where the logic is for selecting the correct Loader.
 
Nested classes/interfaces inherited from interface org.apache.pig.LoadPushDown
LoadPushDown.OperatorSet, LoadPushDown.RequiredField, LoadPushDown.RequiredFieldList, LoadPushDown.RequiredFieldResponse
 
Constructor Summary
AllLoader()
           
AllLoader(String partitionFilter)
           
 
Method Summary
 List<LoadPushDown.OperatorSet> getFeatures()
          Determine the operators that can be pushed to the loader.
 AllLoader.AllLoaderInputFormat getInputFormat()
          This will be called during planning on the front end.
 LoadCaster getLoadCaster()
          This will be called on the front end during planning and not on the back end during execution.
 Tuple getNext()
          Retrieves the next tuple to be processed.
 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.
 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(String location, org.apache.hadoop.mapreduce.Job job)
          Communicate to the loader the location of the object(s) being loaded.
 void setPartitionFilter(Expression partitionFilter)
          Set the filter for partitioning.
 void setUDFContextSignature(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.
 void storeSchema(ResourceSchema schema, String location, org.apache.hadoop.mapreduce.Job job)
          Store schema of the data being written
 void storeStatistics(ResourceStatistics stats, String location, org.apache.hadoop.mapreduce.Job job)
          Store statistics about the data being written.
 
Methods inherited from class org.apache.pig.FileInputLoadFunc
getSplitComparable
 
Methods inherited from class org.apache.pig.LoadFunc
getAbsolutePath, getPathStrings, join, relativeToAbsolutePath, warn
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

AllLoader

public AllLoader()

AllLoader

public AllLoader(String partitionFilter)
Method Detail

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.

getLoadCaster

public LoadCaster getLoadCaster()
                         throws IOException
Description copied from class: LoadFunc
This will be called on the front end during planning and not on 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

getInputFormat

public AllLoader.AllLoaderInputFormat getInputFormat()
                                              throws 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:
IOException - if there is an exception during InputFormat construction

prepareToRead

public void prepareToRead(org.apache.hadoop.mapreduce.RecordReader reader,
                          PigSplit split)
                   throws 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:
IOException - if there is an exception during initialization

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

getFeatures

public List<LoadPushDown.OperatorSet> getFeatures()
Description copied from interface: LoadPushDown
Determine the operators that can be pushed to the loader. Note that by indicating a loader can accept a certain operator (such as selection) the loader is not promising that it can handle all selections. When it is passed the actual operators to push down it will still have a chance to reject them.

Specified by:
getFeatures in interface LoadPushDown
Returns:
list of all features that the loader can support

pushProjection

public LoadPushDown.RequiredFieldResponse pushProjection(LoadPushDown.RequiredFieldList requiredFieldList)
                                                  throws FrontendException
Description copied from interface: LoadPushDown
Indicate to the loader fields that will be needed. This can be useful for loaders that access data that is stored in a columnar format where indicating columns to be accessed a head of time will save scans. This method will not be invoked by the Pig runtime if all fields are required. So implementations should assume that if this method is not invoked, then all fields from the input are required. If the loader function cannot make use of this information, it is free to ignore it by returning an appropriate Response

Specified by:
pushProjection in interface LoadPushDown
Parameters:
requiredFieldList - RequiredFieldList indicating which columns will be needed. This structure is read only. User cannot make change to it inside pushProjection.
Returns:
Indicates which fields will be returned
Throws:
FrontendException

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

storeStatistics

public void storeStatistics(ResourceStatistics stats,
                            String location,
                            org.apache.hadoop.mapreduce.Job job)
                     throws IOException
Description copied from interface: StoreMetadata
Store statistics about the data being written.

Specified by:
storeStatistics in interface StoreMetadata
Parameters:
stats - statistics to be recorded
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.
Throws:
IOException

storeSchema

public void storeSchema(ResourceSchema schema,
                        String location,
                        org.apache.hadoop.mapreduce.Job job)
                 throws IOException
Description copied from interface: StoreMetadata
Store schema of the data being written

Specified by:
storeSchema in interface StoreMetadata
Parameters:
schema - Schema to be recorded
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.
Throws:
IOException

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

setUDFContextSignature

public void setUDFContextSignature(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

setPartitionFilter

public void setPartitionFilter(Expression partitionFilter)
                        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:
partitionFilter - that describes filter for partitioning
Throws:
IOException - if the filter is not compatible with the storage mechanism or contains non-partition fields.


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