monolith/db.py

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Python
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from math import ceil
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import manticoresearch
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import ujson
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from manticoresearch.rest import ApiException
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from numpy import array_split
from redis import StrictRedis
import util
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from schemas.mc_s import schema
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configuration = manticoresearch.Configuration(host="http://monolith-db-1:9308")
api_client = manticoresearch.ApiClient(configuration)
api_instance = manticoresearch.IndexApi(api_client)
log = util.get_logger("db")
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r = StrictRedis(unix_socket_path="/var/run/redis/redis.sock", db=0)
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def store_message(msg):
"""
Store a message into Manticore
:param msg: dict
"""
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print("DISCORD MSGLEN", len(msg["msg"]))
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# normalise fields
for key, value in list(msg.items()):
if value is None:
del msg[key]
if key in schema:
if isinstance(value, int):
if schema[key].startswith("string"):
msg[key] = str(value)
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body = [{"insert": {"index": "main", "doc": msg}}]
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body_post = ""
for item in body:
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body_post += ujson.dumps(item)
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body_post += "\n"
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# print(body_post)
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try:
# Bulk index operations
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api_instance.bulk(body_post, async_req=True)
# print(api_response)
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except ApiException as e:
print("Exception when calling IndexApi->bulk: %s\n" % e)
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def store_message_bulk(data):
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"""
Store a message into Manticore
:param msg: dict
"""
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print("BULK", len(data))
if not data:
return
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split_posts = array_split(data, ceil(len(data) / 10000))
for messages in split_posts:
print("PROCESSING SPLIT OF", len(messages), "MESSAGES")
total = []
for msg in messages:
# normalise fields
for key, value in list(msg.items()):
if value is None:
del msg[key]
if key in schema:
if isinstance(value, int):
if schema[key].startswith("string"):
msg[key] = str(value)
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body = {"insert": {"index": "main", "doc": msg}}
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total.append(body)
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body_post = ""
for item in total:
body_post += ujson.dumps(item)
body_post += "\n"
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# print(body_post)
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try:
# Bulk index operations
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api_instance.bulk(body_post, async_req=True)
# print(api_response)
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except ApiException as e:
print("Exception when calling IndexApi->bulk: %s\n" % e)
print("FINISHED PROCESSING SPLIT")
print("BULK FINISH")
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def update_schema():
pass
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def create_index(api_client):
util_instance = manticoresearch.UtilsApi(api_client)
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schema_types = ", ".join([f"{k} {v}" for k, v in schema.items()])
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create_query = f"create table if not exists main({schema_types}) engine='columnar'"
print("Schema types", create_query)
util_instance.sql(create_query)
create_index(api_client)
update_schema()