def openList(termId, getCache=False):
if getCache:
if is_cached(termId):
data = get_cache_data(termId)
# Reset the index information.
data["current_chunk_index"] = 0
data["current_posting_index"] = 0
return data
lexicon_node_obj = lexicon_list[termId]
# Open to read the inverted list file.
list_file = open(pwd + "inverted_index_new/" + str(lexicon_node_obj.did), "rb")
# Seek to the start offset of the inverted list information for this term.
list_file.seek(int(lexicon_node_obj.start))
list_data_str = list_file.read(int(lexicon_node_obj.length))
list_posting = {
"current_chunk_index": 0,
"current_posting_index": 0,
"current_freq": 0,
"meta_data": [],
# The inverted list file name.
"did": lexicon_node_obj.did
}
# print "lexicon_node_obj.start:" + str(lexicon_node_obj.start)
# print "lexicon_node_obj.len:" + str(lexicon_node_obj.length)
# Decode the meta data information.
list_data = decode7bit(list_data_str[:int(lexicon_node_obj.meta_length)])
list_file.close()
# print "len(list_data):---" + str(len(list_data))
for i in range(0, len(list_data), 2):
if i != 0:
# Decode the document id information.
list_data[i] += list_data[i - 2]
list_posting["meta_data"].append({
# The last document id of this chunk.
"did": list_data[i],
"chunk_size": list_data[i + 1]
})
if True:
# if getCache:
# Store the string of chunks data into memory.
list_posting["chunks_str"] = list_data_str[int(lexicon_node_obj.meta_length):]
else:
size = 0
chunks_str = list_data_str[int(lexicon_node_obj.meta_length):]
for i in range(0, len(list_data), 2):
chunk_content = decode7bit(chunks_str[size:size + list_data[i + 1]])
chunk_postings = []
for j in range(0, len(chunk_content), 2):
if j != 0:
chunk_content[j] += chunk_content[j - 2]
elif i != 0:
chunk_content[j] += list_data[i - 2]
chunk_postings.append({
"did": chunk_content[j],
"freq": chunk_content[j + 1]
})
list_posting[i / 2] = chunk_postings
size += list_data[i + 1]
return list_posting
def nextGEQ(list_posting, k_docID):
current_chunk_index = int(list_posting["current_chunk_index"])
meta_data = list_posting["meta_data"]
current_posting_index = int(list_posting["current_posting_index"])
meta_data_length = len(meta_data)
while current_chunk_index < meta_data_length:
# The last document id of current chunk.
did = meta_data[current_chunk_index]["did"]
if did >= k_docID:
break
current_chunk_index += 1
current_posting_index = 0
if current_chunk_index >= meta_data_length:
return max_doc_id
if current_chunk_index in list_posting:
for j in range(current_posting_index,
len(list_posting[current_chunk_index])):
next_did = list_posting[current_chunk_index][j]["did"]
if next_did >= k_docID:
list_posting["current_posting_index"] = j
list_posting["current_freq"] = list_posting[
current_chunk_index][j]["freq"]
return next_did
else:
size = 0
for meta_index in range(current_chunk_index):
# Calculate the offset of the chunk.
size += int(list_posting["meta_data"][meta_index]["chunk_size"])
# Decode the chunk content.
chunk_content = decode7bit(
list_posting["chunks_str"]
[size:meta_data[current_chunk_index]["chunk_size"]])
chunk_postings = []
next_did = -1
for i in range(0, len(chunk_content), 2):
if i != 0:
# Decode the document id.
chunk_content[i] += chunk_content[i - 2]
elif current_chunk_index != 0:
chunk_content[i] += meta_data[current_chunk_index - 1]["did"]
chunk_postings.append({
"did": chunk_content[i],
"freq": chunk_content[i + 1]
})
if chunk_content[i] >= k_docID and next_did == -1:
list_posting["current_posting_index"] = i / 2
list_posting["current_freq"] = chunk_content[i + 1]
next_did = chunk_content[i]
list_posting[current_chunk_index] = chunk_postings
if next_did != -1:
list_posting["current_chunk_index"] = current_chunk_index
return next_did
return max_doc_id
def nextGEQ(list_posting, k_docID):
current_chunk_index = int(list_posting["current_chunk_index"])
meta_data = list_posting["meta_data"]
current_posting_index = int(list_posting["current_posting_index"])
meta_data_length = len(meta_data)
while current_chunk_index < meta_data_length:
# The last document id of current chunk.
did = meta_data[current_chunk_index]["did"]
if did >= k_docID:
break
current_chunk_index += 1
current_posting_index = 0
if current_chunk_index >= meta_data_length:
return max_doc_id
if current_chunk_index in list_posting:
for j in range(current_posting_index, len(list_posting[current_chunk_index])):
next_did = list_posting[current_chunk_index][j]["did"]
if next_did >= k_docID:
list_posting["current_posting_index"] = j
list_posting["current_freq"] = list_posting[current_chunk_index][j]["freq"]
return next_did
else:
size = 0
for meta_index in range(current_chunk_index):
# Calculate the offset of the chunk.
size += int(list_posting["meta_data"][meta_index]["chunk_size"])
# Decode the chunk content.
chunk_content = decode7bit(
list_posting["chunks_str"][size:meta_data[current_chunk_index]["chunk_size"]])
chunk_postings = []
next_did = -1
for i in range(0, len(chunk_content), 2):
if i != 0:
# Decode the document id.
chunk_content[i] += chunk_content[i - 2]
elif current_chunk_index != 0:
chunk_content[i] += meta_data[current_chunk_index - 1]["did"]
chunk_postings.append({
"did": chunk_content[i],
"freq": chunk_content[i + 1]
})
if chunk_content[i] >= k_docID and next_did == -1:
list_posting["current_posting_index"] = i / 2
list_posting["current_freq"] = chunk_content[i + 1]
next_did = chunk_content[i]
list_posting[current_chunk_index] = chunk_postings
if next_did != -1:
list_posting["current_chunk_index"] = current_chunk_index
return next_did
return max_doc_id
def openList(termId, getCache=False):
if getCache:
if is_cached(termId):
data = get_cache_data(termId)
# Reset the index information.
data["current_chunk_index"] = 0
data["current_posting_index"] = 0
return data
lexicon_node_obj = lexicon_list[termId]
# Open to read the inverted list file.
list_file = open(pwd + "inverted_index_new/" + str(lexicon_node_obj.did),
"rb")
# Seek to the start offset of the inverted list information for this term.
list_file.seek(int(lexicon_node_obj.start))
list_data_str = list_file.read(int(lexicon_node_obj.length))
list_posting = {
"current_chunk_index": 0,
"current_posting_index": 0,
"current_freq": 0,
"meta_data": [],
# The inverted list file name.
"did": lexicon_node_obj.did
}
# print "lexicon_node_obj.start:" + str(lexicon_node_obj.start)
# print "lexicon_node_obj.len:" + str(lexicon_node_obj.length)
# Decode the meta data information.
list_data = decode7bit(list_data_str[:int(lexicon_node_obj.meta_length)])
list_file.close()
# print "len(list_data):---" + str(len(list_data))
for i in range(0, len(list_data), 2):
if i != 0:
# Decode the document id information.
list_data[i] += list_data[i - 2]
list_posting["meta_data"].append({
# The last document id of this chunk.
"did": list_data[i],
"chunk_size": list_data[i + 1]
})
if True:
# if getCache:
# Store the string of chunks data into memory.
list_posting["chunks_str"] = list_data_str[int(lexicon_node_obj.
meta_length):]
else:
size = 0
chunks_str = list_data_str[int(lexicon_node_obj.meta_length):]
for i in range(0, len(list_data), 2):
chunk_content = decode7bit(chunks_str[size:size +
list_data[i + 1]])
chunk_postings = []
for j in range(0, len(chunk_content), 2):
if j != 0:
chunk_content[j] += chunk_content[j - 2]
elif i != 0:
chunk_content[j] += list_data[i - 2]
chunk_postings.append({
"did": chunk_content[j],
"freq": chunk_content[j + 1]
})
list_posting[i / 2] = chunk_postings
size += list_data[i + 1]
return list_posting