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103 lines
2.8 KiB
Python
103 lines
2.8 KiB
Python
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
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from redis import StrictRedis
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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")
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api_client = manticoresearch.ApiClient(configuration)
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api_instance = manticoresearch.IndexApi(api_client)
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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):
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"""
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Store a message into Manticore
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:param msg: dict
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"""
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# normalise fields
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for key, value in list(msg.items()):
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if value is None:
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del msg[key]
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if key in schema:
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if isinstance(value, int):
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if schema[key].startswith("string"):
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msg[key] = str(value)
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body = [{"insert": {"index": "main", "doc": msg}}]
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body_post = ""
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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:
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# Bulk index operations
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api_response = api_instance.bulk(body_post) # , async_req=True
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# print(api_response)
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except ApiException as e:
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print("Exception when calling IndexApi->bulk: %s\n" % e)
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def store_message_bulk(data):
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"""
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Store a message into Manticore
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:param msg: dict
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"""
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if not data:
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return
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# 10000: maximum inserts we can submit to
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# Manticore as of Sept 2022
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split_posts = array_split(data, ceil(len(data) / 10000))
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for messages in split_posts:
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total = []
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for msg in messages:
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# normalise fields
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for key, value in list(msg.items()):
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if value is None:
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del msg[key]
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if key in schema:
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if isinstance(value, int):
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if schema[key].startswith("string"):
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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 = ""
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for item in total:
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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:
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# Bulk index operations
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api_response = api_instance.bulk(body_post) # , async_req=True
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# print(api_response)
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except ApiException as e:
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print("Exception when calling IndexApi->bulk: %s\n" % e)
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def update_schema():
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pass
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def create_index(api_client):
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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'"
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print("Schema types", create_query)
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util_instance.sql(create_query)
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create_index(api_client)
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update_schema()
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