def test_dawg():
from whoosh.support.dawg import DawgBuilder
with TempStorage() as st:
df = st.create_file("test.dawg")
dw = DawgBuilder(field_root=True)
dw.insert(["test"] + list("special"))
dw.insert(["test"] + list("specials"))
dw.write(df)
assert_equal(list(dawg.flatten(dw.root.edge("test"))), ["special", "specials"])
def test_dawg():
from whoosh.support.dawg import DawgBuilder
with TempStorage() as st:
df = st.create_file("test.dawg")
dw = DawgBuilder(field_root=True)
dw.insert(["test"] + list("special"))
dw.insert(["test"] + list("specials"))
dw.write(df)
assert_equal(list(dawg.flatten(dw.root.edge("test"))),
["special", "specials"])
def add_spelling(ix, fieldnames, commit=True):
"""Adds spelling files to an existing index that was created without
them, and modifies the schema so the given fields have the ``spelling``
attribute. Only works on filedb indexes.
>>> ix = index.open_dir("testindex")
>>> add_spelling(ix, ["content", "tags"])
:param ix: a :class:`whoosh.filedb.fileindex.FileIndex` object.
:param fieldnames: a list of field names to create word graphs for.
:param force: if True, overwrites existing word graph files. This is only
useful for debugging.
"""
from whoosh.filedb.filereading import SegmentReader
writer = ix.writer()
storage = writer.storage
schema = writer.schema
segments = writer.segments
for segment in segments:
filename = segment.dawg_filename
r = SegmentReader(storage, schema, segment)
f = storage.create_file(filename)
dawg = DawgBuilder(field_root=True)
for fieldname in fieldnames:
ft = (fieldname, )
for word in r.lexicon(fieldname):
dawg.insert(ft + tuple(word))
dawg.write(f)
for fieldname in fieldnames:
schema[fieldname].spelling = True
if commit:
writer.commit(merge=False)
def add_spelling(ix, fieldnames, commit=True):
"""Adds spelling files to an existing index that was created without
them, and modifies the schema so the given fields have the ``spelling``
attribute. Only works on filedb indexes.
>>> ix = index.open_dir("testindex")
>>> add_spelling(ix, ["content", "tags"])
:param ix: a :class:`whoosh.filedb.fileindex.FileIndex` object.
:param fieldnames: a list of field names to create word graphs for.
:param force: if True, overwrites existing word graph files. This is only
useful for debugging.
"""
from whoosh.filedb.filereading import SegmentReader
writer = ix.writer()
storage = writer.storage
schema = writer.schema
segments = writer.segments
for segment in segments:
filename = segment.dawg_filename
r = SegmentReader(storage, schema, segment)
f = storage.create_file(filename)
dawg = DawgBuilder(field_root=True)
for fieldname in fieldnames:
ft = (fieldname,)
for word in r.lexicon(fieldname):
dawg.insert(ft + tuple(word))
dawg.write(f)
for fieldname in fieldnames:
schema[fieldname].spelling = True
if commit:
writer.commit(merge=False)
class SegmentWriter(IndexWriter):
def __init__(self,
ix,
poolclass=None,
procs=0,
blocklimit=128,
timeout=0.0,
delay=0.1,
name=None,
_lk=True,
**poolargs):
self.writelock = None
if _lk:
self.writelock = ix.lock("WRITELOCK")
if not try_for(
self.writelock.acquire, timeout=timeout, delay=delay):
raise LockError
info = ix._read_toc()
self.schema = info.schema
self.segments = info.segments
self.storage = storage = ix.storage
self.indexname = ix.indexname
self.is_closed = False
self.blocklimit = blocklimit
self.segment_number = info.segment_counter + 1
self.generation = info.generation + 1
self._doc_offsets = []
base = 0
for s in self.segments:
self._doc_offsets.append(base)
base += s.doc_count_all()
self.name = name or Segment.basename(self.indexname,
self.segment_number)
self.docnum = 0
self.fieldlength_totals = defaultdict(int)
self._added = False
self._unique_cache = {}
# Create a temporary segment to use its .*_filename attributes
segment = Segment(self.name, self.generation, 0, None, None, None)
# Spelling
self.wordsets = {}
self.dawg = None
if any(field.spelling for field in self.schema):
self.dawgfile = storage.create_file(segment.dawg_filename)
self.dawg = DawgBuilder(field_root=True)
# Terms index
tf = storage.create_file(segment.termsindex_filename)
ti = TermIndexWriter(tf)
# Term postings file
pf = storage.create_file(segment.termposts_filename)
pw = FilePostingWriter(pf, blocklimit=blocklimit)
# Terms writer
self.termswriter = TermsWriter(self.schema, ti, pw, self.dawg)
if self.schema.has_vectored_fields():
# Vector index
vf = storage.create_file(segment.vectorindex_filename)
self.vectorindex = TermVectorWriter(vf)
# Vector posting file
vpf = storage.create_file(segment.vectorposts_filename)
self.vpostwriter = FilePostingWriter(vpf, stringids=True)
else:
self.vectorindex = None
self.vpostwriter = None
# Stored fields file
sf = storage.create_file(segment.storedfields_filename)
self.storedfields = StoredFieldWriter(sf, self.schema.stored_names())
# Field lengths file
self.lengthfile = storage.create_file(segment.fieldlengths_filename)
# Create the pool
if poolclass is None:
if procs > 1:
from whoosh.filedb.multiproc import MultiPool
poolclass = MultiPool
else:
poolclass = TempfilePool
self.pool = poolclass(self.schema, procs=procs, **poolargs)
def _check_state(self):
if self.is_closed:
raise IndexingError("This writer is closed")
def add_field(self, fieldname, fieldspec, **kwargs):
self._check_state()
if self._added:
raise Exception("Can't modify schema after adding data to writer")
super(SegmentWriter, self).add_field(fieldname, fieldspec, **kwargs)
def remove_field(self, fieldname):
self._check_state()
if self._added:
raise Exception("Can't modify schema after adding data to writer")
super(SegmentWriter, self).remove_field(fieldname)
def _document_segment(self, docnum):
#Returns the index.Segment object containing the given document
#number.
offsets = self._doc_offsets
if len(offsets) == 1:
return 0
return bisect_right(offsets, docnum) - 1
def _segment_and_docnum(self, docnum):
#Returns an (index.Segment, segment_docnum) pair for the segment
#containing the given document number.
segmentnum = self._document_segment(docnum)
offset = self._doc_offsets[segmentnum]
segment = self.segments[segmentnum]
return segment, docnum - offset
def has_deletions(self):
"""
:returns: True if this index has documents that are marked deleted but
haven't been optimized out of the index yet.
"""
return any(s.has_deletions() for s in self.segments)
def delete_document(self, docnum, delete=True):
self._check_state()
if docnum >= sum(seg.doccount for seg in self.segments):
raise IndexingError("No document ID %r in this index" % docnum)
segment, segdocnum = self._segment_and_docnum(docnum)
segment.delete_document(segdocnum, delete=delete)
def deleted_count(self):
"""
:returns: the total number of deleted documents in the index.
"""
return sum(s.deleted_count() for s in self.segments)
def is_deleted(self, docnum):
segment, segdocnum = self._segment_and_docnum(docnum)
return segment.is_deleted(segdocnum)
def reader(self, reuse=None):
self._check_state()
from whoosh.filedb.fileindex import FileIndex
return FileIndex._reader(self.storage,
self.schema,
self.segments,
self.generation,
reuse=reuse)
def add_reader(self, reader):
self._check_state()
startdoc = self.docnum
has_deletions = reader.has_deletions()
if has_deletions:
docmap = {}
fieldnames = set(self.schema.names())
# Add stored documents, vectors, and field lengths
for docnum in reader.all_doc_ids():
if (not has_deletions) or (not reader.is_deleted(docnum)):
d = dict(item
for item in iteritems(reader.stored_fields(docnum))
if item[0] in fieldnames)
# We have to append a dictionary for every document, even if
# it's empty.
self.storedfields.append(d)
if has_deletions:
docmap[docnum] = self.docnum
for fieldname in reader.schema.scorable_names():
length = reader.doc_field_length(docnum, fieldname)
if length and fieldname in fieldnames:
self.pool.add_field_length(self.docnum, fieldname,
length)
for fieldname in reader.schema.vector_names():
if (fieldname in fieldnames
and reader.has_vector(docnum, fieldname)):
vpostreader = reader.vector(docnum, fieldname)
self._add_vector_reader(self.docnum, fieldname,
vpostreader)
self.docnum += 1
# Add dawg contents to word sets for fields that require separate
# handling
for fieldname in self.schema.separate_spelling_names():
if reader.has_word_graph(fieldname):
graph = reader.word_graph(fieldname)
self.add_spell_words(fieldname, flatten(graph))
# Add postings
for fieldname, text in reader.all_terms():
if fieldname in fieldnames:
postreader = reader.postings(fieldname, text)
while postreader.is_active():
docnum = postreader.id()
valuestring = postreader.value()
if has_deletions:
newdoc = docmap[docnum]
else:
newdoc = startdoc + docnum
self.pool.add_posting(fieldname, text, newdoc,
postreader.weight(), valuestring)
postreader.next()
self._added = True
def add_document(self, **fields):
self._check_state()
schema = self.schema
docboost = self._doc_boost(fields)
# Sort the keys
fieldnames = sorted(
[name for name in fields.keys() if not name.startswith("_")])
# Check if the caller gave us a bogus field
for name in fieldnames:
if name not in schema:
raise UnknownFieldError("No field named %r in %s" %
(name, schema))
storedvalues = {}
docnum = self.docnum
for fieldname in fieldnames:
value = fields.get(fieldname)
if value is None:
continue
field = schema[fieldname]
if field.indexed:
fieldboost = self._field_boost(fields, fieldname, docboost)
self.pool.add_content(docnum, fieldname, field, value,
fieldboost)
if field.separate_spelling():
# This field requires spelling words to be added in a separate
# step, instead of as part of indexing
self.add_spell_words(fieldname, field.spellable_words(value))
vformat = field.vector
if vformat:
wvs = vformat.word_values(value, field.analyzer, mode="index")
vlist = sorted((w, weight, valuestring)
for w, _, weight, valuestring in wvs)
self._add_vector(docnum, fieldname, vlist)
if field.stored:
# Caller can override the stored value by including a key
# _stored_<fieldname>
storedvalue = value
storedname = "_stored_" + fieldname
if storedname in fields:
storedvalue = fields[storedname]
storedvalues[fieldname] = storedvalue
self._added = True
self.storedfields.append(storedvalues)
self.docnum += 1
def add_spell_words(self, fieldname, words):
# Get or make a set for the words in this field
if fieldname not in self.wordsets:
self.wordsets[fieldname] = set()
wordset = self.wordsets[fieldname]
# If the in-memory set is getting big, replace it with an
# on-disk set
if has_sqlite and isinstance(wordset, set) and len(wordset) > 4096:
diskset = DiskSet(wordset)
self.wordsets[fieldname] = wordset = diskset
for word in words:
wordset.add(word)
self._added = True
def _add_wordsets(self):
dawg = self.dawg
for fieldname in self.wordsets:
ws = self.wordsets[fieldname]
ft = (fieldname, )
words = sorted(ws) if isinstance(ws, set) else iter(ws)
for text in words:
dawg.insert(ft + tuple(text))
if isinstance(ws, DiskSet):
ws.destroy()
def _add_vector(self, docnum, fieldname, vlist):
vpostwriter = self.vpostwriter
offset = vpostwriter.start(self.schema[fieldname].vector)
for text, weight, valuestring in vlist:
#assert isinstance(text, text_type), "%r is not unicode" % text
vpostwriter.write(text, weight, valuestring, 0)
vpostwriter.finish(inlinelimit=0)
self.vectorindex.add((docnum, fieldname), offset)
def _add_vector_reader(self, docnum, fieldname, vreader):
vpostwriter = self.vpostwriter
offset = vpostwriter.start(self.schema[fieldname].vector)
while vreader.is_active():
# text, weight, valuestring, fieldlen
vpostwriter.write(vreader.id(), vreader.weight(), vreader.value(),
0)
vreader.next()
vpostwriter.finish(inlinelimit=0)
self.vectorindex.add((docnum, fieldname), offset)
def _close_all(self):
self.is_closed = True
self.termswriter.close()
self.storedfields.close()
if not self.lengthfile.is_closed:
self.lengthfile.close()
if self.vectorindex:
self.vectorindex.close()
if self.vpostwriter:
self.vpostwriter.close()
def _getsegment(self):
return Segment(self.name, self.generation, self.docnum,
self.pool.fieldlength_totals(),
self.pool.fieldlength_mins(),
self.pool.fieldlength_maxes())
def commit(self, mergetype=None, optimize=False, merge=True):
"""Finishes writing and saves all additions and changes to disk.
There are four possible ways to use this method::
# Merge small segments but leave large segments, trying to
# balance fast commits with fast searching:
writer.commit()
# Merge all segments into a single segment:
writer.commit(optimize=True)
# Don't merge any existing segments:
writer.commit(merge=False)
# Use a custom merge function
writer.commit(mergetype=my_merge_function)
:param mergetype: a custom merge function taking a Writer object and
segment list as arguments, and returning a new segment list. If you
supply a ``mergetype`` function, the values of the ``optimize`` and
``merge`` arguments are ignored.
:param optimize: if True, all existing segments are merged with the
documents you've added to this writer (and the value of the
``merge`` argument is ignored).
:param merge: if False, do not merge small segments.
"""
self._check_state()
try:
if mergetype:
pass
elif optimize:
mergetype = OPTIMIZE
elif not merge:
mergetype = NO_MERGE
else:
mergetype = MERGE_SMALL
# Call the merge policy function. The policy may choose to merge
# other segments into this writer's pool
new_segments = mergetype(self, self.segments)
if self._added:
# Create a Segment object for the segment created by this
# writer
thissegment = self._getsegment()
# Tell the pool we're finished adding information, it should
# add its accumulated data to the lengths, terms index, and
# posting files.
self.pool.finish(self.termswriter, self.docnum,
self.lengthfile)
# Write out spelling files
if self.dawg:
# Insert any wordsets we've accumulated into the word graph
self._add_wordsets()
# Write out the word graph
self.dawg.write(self.dawgfile)
# Add new segment to the list of remaining segments returned by
# the merge policy function
new_segments.append(thissegment)
else:
self.pool.cleanup()
# Close all files, write a new TOC with the new segment list, and
# release the lock.
self._close_all()
from whoosh.filedb.fileindex import _write_toc, _clean_files
_write_toc(self.storage, self.schema, self.indexname,
self.generation, self.segment_number, new_segments)
# Delete leftover files
_clean_files(self.storage, self.indexname, self.generation,
new_segments)
finally:
if self.writelock:
self.writelock.release()
def cancel(self):
self._check_state()
try:
self.pool.cancel()
self._close_all()
finally:
if self.writelock:
self.writelock.release()
class SegmentWriter(IndexWriter):
def __init__(self, ix, poolclass=None, procs=0, blocklimit=128,
timeout=0.0, delay=0.1, name=None, _lk=True, **poolargs):
self.writelock = None
if _lk:
self.writelock = ix.lock("WRITELOCK")
if not try_for(self.writelock.acquire, timeout=timeout,
delay=delay):
raise LockError
info = ix._read_toc()
self.schema = info.schema
self.segments = info.segments
self.storage = storage = ix.storage
self.indexname = ix.indexname
self.is_closed = False
self.blocklimit = blocklimit
self.segment_number = info.segment_counter + 1
self.generation = info.generation + 1
self._doc_offsets = []
base = 0
for s in self.segments:
self._doc_offsets.append(base)
base += s.doc_count_all()
self.name = name or Segment.basename(self.indexname,
self.segment_number)
self.docnum = 0
self.fieldlength_totals = defaultdict(int)
self._added = False
self._unique_cache = {}
# Create a temporary segment to use its .*_filename attributes
segment = Segment(self.name, self.generation, 0, None, None, None)
# Spelling
self.wordsets = {}
self.dawg = None
if any(field.spelling for field in self.schema):
self.dawgfile = storage.create_file(segment.dawg_filename)
self.dawg = DawgBuilder(field_root=True)
# Terms index
tf = storage.create_file(segment.termsindex_filename)
ti = TermIndexWriter(tf)
# Term postings file
pf = storage.create_file(segment.termposts_filename)
pw = FilePostingWriter(pf, blocklimit=blocklimit)
# Terms writer
self.termswriter = TermsWriter(self.schema, ti, pw, self.dawg)
if self.schema.has_vectored_fields():
# Vector index
vf = storage.create_file(segment.vectorindex_filename)
self.vectorindex = TermVectorWriter(vf)
# Vector posting file
vpf = storage.create_file(segment.vectorposts_filename)
self.vpostwriter = FilePostingWriter(vpf, stringids=True)
else:
self.vectorindex = None
self.vpostwriter = None
# Stored fields file
sf = storage.create_file(segment.storedfields_filename)
self.storedfields = StoredFieldWriter(sf, self.schema.stored_names())
# Field lengths file
self.lengthfile = storage.create_file(segment.fieldlengths_filename)
# Create the pool
if poolclass is None:
if procs > 1:
from whoosh.filedb.multiproc import MultiPool
poolclass = MultiPool
else:
poolclass = TempfilePool
self.pool = poolclass(self.schema, procs=procs, **poolargs)
def _check_state(self):
if self.is_closed:
raise IndexingError("This writer is closed")
def add_field(self, fieldname, fieldspec, **kwargs):
self._check_state()
if self._added:
raise Exception("Can't modify schema after adding data to writer")
super(SegmentWriter, self).add_field(fieldname, fieldspec, **kwargs)
def remove_field(self, fieldname):
self._check_state()
if self._added:
raise Exception("Can't modify schema after adding data to writer")
super(SegmentWriter, self).remove_field(fieldname)
def _document_segment(self, docnum):
#Returns the index.Segment object containing the given document
#number.
offsets = self._doc_offsets
if len(offsets) == 1:
return 0
return bisect_right(offsets, docnum) - 1
def _segment_and_docnum(self, docnum):
#Returns an (index.Segment, segment_docnum) pair for the segment
#containing the given document number.
segmentnum = self._document_segment(docnum)
offset = self._doc_offsets[segmentnum]
segment = self.segments[segmentnum]
return segment, docnum - offset
def has_deletions(self):
"""
:returns: True if this index has documents that are marked deleted but
haven't been optimized out of the index yet.
"""
return any(s.has_deletions() for s in self.segments)
def delete_document(self, docnum, delete=True):
self._check_state()
if docnum >= sum(seg.doccount for seg in self.segments):
raise IndexingError("No document ID %r in this index" % docnum)
segment, segdocnum = self._segment_and_docnum(docnum)
segment.delete_document(segdocnum, delete=delete)
def deleted_count(self):
"""
:returns: the total number of deleted documents in the index.
"""
return sum(s.deleted_count() for s in self.segments)
def is_deleted(self, docnum):
segment, segdocnum = self._segment_and_docnum(docnum)
return segment.is_deleted(segdocnum)
def reader(self, reuse=None):
self._check_state()
from whoosh.filedb.fileindex import FileIndex
return FileIndex._reader(self.storage, self.schema, self.segments,
self.generation, reuse=reuse)
def add_reader(self, reader):
self._check_state()
startdoc = self.docnum
has_deletions = reader.has_deletions()
if has_deletions:
docmap = {}
fieldnames = set(self.schema.names())
# Add stored documents, vectors, and field lengths
for docnum in reader.all_doc_ids():
if (not has_deletions) or (not reader.is_deleted(docnum)):
d = dict(item for item
in iteritems(reader.stored_fields(docnum))
if item[0] in fieldnames)
# We have to append a dictionary for every document, even if
# it's empty.
self.storedfields.append(d)
if has_deletions:
docmap[docnum] = self.docnum
for fieldname in reader.schema.scorable_names():
length = reader.doc_field_length(docnum, fieldname)
if length and fieldname in fieldnames:
self.pool.add_field_length(self.docnum, fieldname,
length)
for fieldname in reader.schema.vector_names():
if (fieldname in fieldnames
and reader.has_vector(docnum, fieldname)):
vpostreader = reader.vector(docnum, fieldname)
self._add_vector_reader(self.docnum, fieldname,
vpostreader)
self.docnum += 1
# Add dawg contents to word sets for fields that require separate
# handling
for fieldname in self.schema.separate_spelling_names():
if reader.has_word_graph(fieldname):
graph = reader.word_graph(fieldname)
self.add_spell_words(fieldname, flatten(graph))
# Add postings
for fieldname, text in reader.all_terms():
if fieldname in fieldnames:
postreader = reader.postings(fieldname, text)
while postreader.is_active():
docnum = postreader.id()
valuestring = postreader.value()
if has_deletions:
newdoc = docmap[docnum]
else:
newdoc = startdoc + docnum
self.pool.add_posting(fieldname, text, newdoc,
postreader.weight(), valuestring)
postreader.next()
self._added = True
def add_document(self, **fields):
self._check_state()
schema = self.schema
docboost = self._doc_boost(fields)
# Sort the keys
fieldnames = sorted([name for name in fields.keys()
if not name.startswith("_")])
# Check if the caller gave us a bogus field
for name in fieldnames:
if name not in schema:
raise UnknownFieldError("No field named %r in %s"
% (name, schema))
storedvalues = {}
docnum = self.docnum
for fieldname in fieldnames:
value = fields.get(fieldname)
if value is None:
continue
field = schema[fieldname]
if field.indexed:
fieldboost = self._field_boost(fields, fieldname, docboost)
self.pool.add_content(docnum, fieldname, field, value,
fieldboost)
if field.separate_spelling():
# This field requires spelling words to be added in a separate
# step, instead of as part of indexing
self.add_spell_words(fieldname, field.spellable_words(value))
vformat = field.vector
if vformat:
wvs = vformat.word_values(value, field.analyzer, mode="index")
vlist = sorted((w, weight, valuestring)
for w, _, weight, valuestring in wvs)
self._add_vector(docnum, fieldname, vlist)
if field.stored:
# Caller can override the stored value by including a key
# _stored_<fieldname>
storedvalue = value
storedname = "_stored_" + fieldname
if storedname in fields:
storedvalue = fields[storedname]
storedvalues[fieldname] = storedvalue
self._added = True
self.storedfields.append(storedvalues)
self.docnum += 1
def add_spell_words(self, fieldname, words):
# Get or make a set for the words in this field
if fieldname not in self.wordsets:
self.wordsets[fieldname] = set()
wordset = self.wordsets[fieldname]
# If the in-memory set is getting big, replace it with an
# on-disk set
if has_sqlite and isinstance(wordset, set) and len(wordset) > 4096:
diskset = DiskSet(wordset)
self.wordsets[fieldname] = wordset = diskset
for word in words:
wordset.add(word)
self._added = True
def _add_wordsets(self):
dawg = self.dawg
for fieldname in self.wordsets:
ws = self.wordsets[fieldname]
ft = (fieldname,)
words = sorted(ws) if isinstance(ws, set) else iter(ws)
for text in words:
dawg.insert(ft + tuple(text))
if isinstance(ws, DiskSet):
ws.destroy()
def _add_vector(self, docnum, fieldname, vlist):
vpostwriter = self.vpostwriter
offset = vpostwriter.start(self.schema[fieldname].vector)
for text, weight, valuestring in vlist:
#assert isinstance(text, text_type), "%r is not unicode" % text
vpostwriter.write(text, weight, valuestring, 0)
vpostwriter.finish(inlinelimit=0)
self.vectorindex.add((docnum, fieldname), offset)
def _add_vector_reader(self, docnum, fieldname, vreader):
vpostwriter = self.vpostwriter
offset = vpostwriter.start(self.schema[fieldname].vector)
while vreader.is_active():
# text, weight, valuestring, fieldlen
vpostwriter.write(vreader.id(), vreader.weight(), vreader.value(),
0)
vreader.next()
vpostwriter.finish(inlinelimit=0)
self.vectorindex.add((docnum, fieldname), offset)
def _close_all(self):
self.is_closed = True
self.termswriter.close()
self.storedfields.close()
if not self.lengthfile.is_closed:
self.lengthfile.close()
if self.vectorindex:
self.vectorindex.close()
if self.vpostwriter:
self.vpostwriter.close()
def _getsegment(self):
return Segment(self.name, self.generation, self.docnum,
self.pool.fieldlength_totals(),
self.pool.fieldlength_mins(),
self.pool.fieldlength_maxes())
def commit(self, mergetype=None, optimize=False, merge=True):
"""Finishes writing and saves all additions and changes to disk.
There are four possible ways to use this method::
# Merge small segments but leave large segments, trying to
# balance fast commits with fast searching:
writer.commit()
# Merge all segments into a single segment:
writer.commit(optimize=True)
# Don't merge any existing segments:
writer.commit(merge=False)
# Use a custom merge function
writer.commit(mergetype=my_merge_function)
:param mergetype: a custom merge function taking a Writer object and
segment list as arguments, and returning a new segment list. If you
supply a ``mergetype`` function, the values of the ``optimize`` and
``merge`` arguments are ignored.
:param optimize: if True, all existing segments are merged with the
documents you've added to this writer (and the value of the
``merge`` argument is ignored).
:param merge: if False, do not merge small segments.
"""
self._check_state()
try:
if mergetype:
pass
elif optimize:
mergetype = OPTIMIZE
elif not merge:
mergetype = NO_MERGE
else:
mergetype = MERGE_SMALL
# Call the merge policy function. The policy may choose to merge
# other segments into this writer's pool
new_segments = mergetype(self, self.segments)
if self._added:
# Create a Segment object for the segment created by this
# writer
thissegment = self._getsegment()
# Tell the pool we're finished adding information, it should
# add its accumulated data to the lengths, terms index, and
# posting files.
self.pool.finish(self.termswriter, self.docnum,
self.lengthfile)
# Write out spelling files
if self.dawg:
# Insert any wordsets we've accumulated into the word graph
self._add_wordsets()
# Write out the word graph
self.dawg.write(self.dawgfile)
# Add new segment to the list of remaining segments returned by
# the merge policy function
new_segments.append(thissegment)
else:
self.pool.cleanup()
# Close all files, write a new TOC with the new segment list, and
# release the lock.
self._close_all()
from whoosh.filedb.fileindex import _write_toc, _clean_files
_write_toc(self.storage, self.schema, self.indexname,
self.generation, self.segment_number, new_segments)
# Delete leftover files
_clean_files(self.storage, self.indexname, self.generation,
new_segments)
finally:
if self.writelock:
self.writelock.release()
def cancel(self):
self._check_state()
try:
self.pool.cancel()
self._close_all()
finally:
if self.writelock:
self.writelock.release()