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main.py
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import os
import pickle
from bisect import bisect_left
class MemTable:
def __init__(self):
self.table = {}
def put(self, key, value):
self.table[key] = value
def get(self, key):
if key in self.table:
return self.table.get(key)
else:
return "KEY NOT FOUND" # Value of dlted key can be None, so need this
def delete(self, key):
self.table[key] = None
def flush(self):
sorted_items = sorted(self.table.items())
self.table.clear()
return sorted_items
class SSTable:
def __init__(self, file_path):
self.file_path = file_path
def write(self, data):
with open(self.file_path, 'wb') as f:
pickle.dump(data, f)
def read(self):
with open(self.file_path, 'rb') as f:
return pickle.load(f)
def range_query(self, st, end):
data = self.read()
st_idx = bisect_left(data, (st,))
end_idx = bisect_left(data, (end,))
return data[st_idx: end_idx]
class LSMTree:
def __init__(self, memtable_threshold=10, data_dir = 'data'):
self.memtable = MemTable()
self.memtable_threshold = memtable_threshold
self.data_dir = data_dir
self.sstables = []
# counter for compacted files - can't give old overwriting names 'cause of dlt
self.counter = 0
if not os.path.exists(self.data_dir):
os.makedirs(self.data_dir)
def put(self, key, value):
self.memtable.put(key, value)
if len(self.memtable.table) >= self.memtable_threshold:
self._flush_memtable()
def get(self, key):
value = self.memtable.get(key)
if value != "KEY NOT FOUND":
return value
for sstable in reversed(self.sstables):
data = sstable.read()
for k, v in data:
if k == key:
return v if v is not None else None
return None
def delete(self, key):
self.memtable.delete(key)
def range_query(self, st, end):
sstable_data = []
for sstable in self.sstables:
sstable_data.extend(sstable.range_query(st, end))
# merging the sstables data
merged_data = {}
for key, value in sstable_data:
if value is None:
del merged_data[key]
continue
merged_data[key] = value
# Overwrite with latest memtable data
for key, value in self.memtable.table.items():
if st <= key <= end:
if value is None:
del merged_data[key]
continue
merged_data[key] = value
return sorted(merged_data.items())
def _flush_memtable(self):
flushed_data = self.memtable.flush()
self._create_sstable(flushed_data)
# perform compaction if sstables > 2
if len(self.sstables) > 2:
self._compaction()
def _create_sstable(self, data):
file_path = os.path.join(self.data_dir, f'sstable_{len(self.sstables)}.sst')
sstable = SSTable(file_path)
sstable.write(data)
self.sstables.append(sstable)
def _compaction(self):
print("\nCompaction started......Merging all SSTables")
all_data = []
for sstable in self.sstables:
all_data.extend(sstable.read())
merged_data = {}
for key, value in all_data:
if value is None:
del merged_data[key]
continue
merged_data[key] = value
sorted_merged_data = sorted(merged_data.items())
compact_file_path = os.path.join(self.data_dir, f'sstable_compacted_{self.counter}.sst')
compact_sstable = SSTable(compact_file_path)
compact_sstable.write(sorted_merged_data)
self.counter += 1
# Remove old SSTables and keep the compacted one
for sstable in self.sstables:
os.remove(sstable.file_path)
self.sstables = [compact_sstable]
if __name__ == "__main__":
lsm_tree = LSMTree(memtable_threshold=3)
# put values
lsm_tree.put("chips", "lays, kurkure")
lsm_tree.put("animals", "monkey, cow, tiger")
lsm_tree.put("banana", "yellow yellow fruit")
lsm_tree.put("clothes", "pant suit")
lsm_tree.put("furniture", "chair table")
lsm_tree.put("trees", "green leafy tall beings")
# get values
print("KEY: clothes, VALUE:", lsm_tree.get("clothes"))
print("KEY: banana, VALUE:",lsm_tree.get("banana"))
# update values
lsm_tree.put("clothes", "skirt, shorts")
# delete values
lsm_tree.delete("banana")
print("KEY: clothes, VALUE:",lsm_tree.get("clothes"))
print("KEY: banana, VALUE:",lsm_tree.get("banana"))
lsm_tree.delete("clothes")
# put values
lsm_tree.put("zebra", "black and white animal")
lsm_tree.put("chocolate", "sweet cocoa")
lsm_tree.put("apple", "red fruit, which is sometimes green")
lsm_tree.put("jackets", "cold protection")
lsm_tree.put("guitars", "music to ears")
# updates values
lsm_tree.put("animals", "four legs creatures")
lsm_tree.put("furniture", "TV cabinets")
print("\nRANGE QUERY:\n", lsm_tree.range_query("animals", "zebra"))
print("\nRANGE QUERY:\n", lsm_tree.range_query("chocolate", "zebra"))