public class PartitionDocumentally extends Object
A global index is partitioned documentally by providing a
that specifies a destination local index for each document, and a local document pointer. The global index
is scanned, and the postings are partitioned among the local indices using the provided strategy. For instance,
ContiguousDocumentalStrategy divides an index into blocks of contiguous documents.
Since each local index contains a (proper) subset of the original set of documents, it contains in general a (proper)
subset of the terms in the global index. Thus, the local term numbers and the global term numbers will not in general coincide.
As a result, when a set of local indices is accessed transparently as a single index
a call to
Index.documents(long) will throw an
because there is no way to map the global term numbers to local term numbers.
On the other hand, a call to
Index.documents(CharSequence) will be passed each local index to
build a global iterator. To speed up this phase for not-so-frequent terms, when partitioning an index you can require
the construction of Bloom filters that will be used to try to avoid
inquiring indices that do not contain a term. The precision of the filters is settable.
The property file will use a
DocumentalMergedCluster unless you provide
ContiguousDocumentalStrategy, in which case a
DocumentalConcatenatedCluster will be used instead. Note that there might
be other cases in which the latter is adapt, in which case you can edit manually the property file.
Important: this class just partitions the index. No auxiliary files (most notably, term maps
or prefix maps) will be generated. Please refer to a
StringMap implementation (e.g.,
Warning: variable quanta are not supported by this class, as it is impossible to predict accurately
the number of bits used for positions when partitioning documentally. If you want to use variable quanta, use a
simple interleaved index without skips as an intermediate step, and pass it through
Partitioning the file containing document sizes is a tricky issue. For the time being this class
implements a very simple policy: if
DocumentalPartitioningStrategy.numberOfDocuments(int) returns the number of
documents of the global index, the size file for a local index is generated by replacing all sizes of documents not
belonging to the index with a zero. Otherwise, the file is generated by appending in order the sizes of the documents
belonging to the index. This simple strategy works well with contiguous splitting and with splittings that do not
change the document numbers (e.g., the inverse operation of a
Merge). However, more complex splittings might give rise
to inconsistent size files.
PartitionLexically—the same comments apply.
|Modifier and Type||Field and Description|
The default buffer size for all involved indices.
|Constructor and Description|
public static final int DEFAULT_BUFFER_SIZE
public PartitionDocumentally(String inputBasename, String outputBasename, DocumentalPartitioningStrategy strategy, String strategyFilename, int BloomFilterPrecision, int bufferSize, Map<CompressionFlags.Component,CompressionFlags.Coding> writerFlags, Combine.IndexType indexType, boolean skips, int quantum, int height, int skipBufferOrCacheSize, long logInterval) throws org.apache.commons.configuration.ConfigurationException, IOException, ClassNotFoundException, SecurityException, InstantiationException, IllegalAccessException, URISyntaxException, InvocationTargetException, NoSuchMethodException
public static void main(String arg) throws org.apache.commons.configuration.ConfigurationException, IOException, URISyntaxException, ClassNotFoundException, Exception