|
| 1 | +import collections |
| 2 | +from contextlib import contextmanager |
| 3 | +import json |
| 4 | +import logging |
| 5 | +import psycopg2 |
| 6 | +import psycopg2.pool |
| 7 | +import qr |
| 8 | +import redis |
| 9 | +import time |
| 10 | +import query_runner |
| 11 | +import worker |
| 12 | +from utils import gen_query_hash |
| 13 | + |
| 14 | + |
| 15 | +class QueryResult(collections.namedtuple('QueryData', 'id query data runtime retrieved_at query_hash')): |
| 16 | + def to_dict(self, parse_data=False): |
| 17 | + d = self._asdict() |
| 18 | + |
| 19 | + if parse_data and d['data']: |
| 20 | + d['data'] = json.loads(d['data']) |
| 21 | + |
| 22 | + return d |
| 23 | + |
| 24 | + |
| 25 | +class Manager(object): |
| 26 | + def __init__(self, redis_connection, db_connection_string, db_max_connections): |
| 27 | + self.redis_connection = redis_connection |
| 28 | + self.workers = [] |
| 29 | + self.db_connection_pool = psycopg2.pool.ThreadedConnectionPool(1, db_max_connections, |
| 30 | + db_connection_string) |
| 31 | + self.queue = qr.PriorityQueue("jobs") |
| 32 | + self.max_retries = 5 |
| 33 | + |
| 34 | + # TODO: Use our Django Models |
| 35 | + def get_query_result_by_id(self, query_result_id): |
| 36 | + with self.db_transaction() as cursor: |
| 37 | + sql = "SELECT id, query, data, runtime, retrieved_at, query_hash FROM query_results " \ |
| 38 | + "WHERE id=%s LIMIT 1" |
| 39 | + cursor.execute(sql, (query_result_id,)) |
| 40 | + query_result = cursor.fetchone() |
| 41 | + |
| 42 | + if query_result: |
| 43 | + query_result = QueryResult(*query_result) |
| 44 | + |
| 45 | + return query_result |
| 46 | + |
| 47 | + def get_query_result(self, query, ttl=0): |
| 48 | + query_hash = gen_query_hash(query) |
| 49 | + |
| 50 | + with self.db_transaction() as cursor: |
| 51 | + sql = "SELECT id, query, data, runtime, retrieved_at, query_hash FROM query_results " \ |
| 52 | + "WHERE query_hash=%s " \ |
| 53 | + "AND retrieved_at < now() at time zone 'utc' - interval '%s second'" \ |
| 54 | + "ORDER BY retrieved_at DESC LIMIT 1" |
| 55 | + cursor.execute(sql, (query_hash, psycopg2.extensions.AsIs(ttl))) |
| 56 | + query_result = cursor.fetchone() |
| 57 | + |
| 58 | + if query_result: |
| 59 | + query_result = QueryResult(*query_result) |
| 60 | + |
| 61 | + return query_result |
| 62 | + |
| 63 | + def add_job(self, query, priority): |
| 64 | + query_hash = gen_query_hash(query) |
| 65 | + logging.info("[Manager][%s] Inserting job with priority=%s", query_hash, priority) |
| 66 | + try_count = 0 |
| 67 | + job = None |
| 68 | + |
| 69 | + while try_count < self.max_retries: |
| 70 | + try_count += 1 |
| 71 | + |
| 72 | + pipe = self.redis_connection.pipeline() |
| 73 | + try: |
| 74 | + pipe.watch('query_hash_job:%s' % query_hash) |
| 75 | + job_id = pipe.get('query_hash_job:%s' % query_hash) |
| 76 | + if job_id: |
| 77 | + logging.info("[Manager][%s] Found existing job: %s", query_hash, job_id) |
| 78 | + job = worker.Job.load(self, job_id) |
| 79 | + else: |
| 80 | + job = worker.Job(self, query, priority) |
| 81 | + pipe.multi() |
| 82 | + job.save(pipe) |
| 83 | + logging.info("[Manager][%s] Created new job: %s", query_hash, job.id) |
| 84 | + self.queue.push(job.id, job.priority) |
| 85 | + break |
| 86 | + |
| 87 | + except redis.WatchError: |
| 88 | + continue |
| 89 | + |
| 90 | + if not job: |
| 91 | + logging.error("[Manager][%s] Failed adding job for query.", query_hash) |
| 92 | + |
| 93 | + return job |
| 94 | + |
| 95 | + def refresh_queries(self): |
| 96 | + sql = """SELECT queries.query, queries.ttl, retrieved_at |
| 97 | + FROM (SELECT query, min(ttl) as ttl FROM queries WHERE ttl > 0 GROUP by query) queries |
| 98 | + JOIN (SELECT query, max(retrieved_at) as retrieved_at |
| 99 | + FROM query_results |
| 100 | + GROUP BY query) query_results on query_results.query=queries.query |
| 101 | + WHERE queries.ttl > 0 |
| 102 | + AND query_results.retrieved_at + ttl * interval '1 second' < now() at time zone 'utc';""" |
| 103 | + |
| 104 | + queries = self.run_query(sql) |
| 105 | + for query, ttl, retrieved_at in queries: |
| 106 | + self.add_job(query, worker.Job.LOW_PRIORITY) |
| 107 | + |
| 108 | + def store_query_result(self, query, data, run_time, retrieved_at): |
| 109 | + query_result_id = None |
| 110 | + query_hash = gen_query_hash(query) |
| 111 | + sql = "INSERT INTO query_results (query_hash, query, data, runtime, retrieved_at) " \ |
| 112 | + "VALUES (%s, %s, %s, %s, %s) RETURNING id" |
| 113 | + with self.db_transaction() as cursor: |
| 114 | + cursor.execute(sql, (query_hash, query, data, run_time, retrieved_at)) |
| 115 | + if cursor.rowcount == 1: |
| 116 | + query_result_id = cursor.fetchone()[0] |
| 117 | + logging.info("[Manager][%s] Inserted query data; id=%s", query_hash, query_result_id) |
| 118 | + |
| 119 | + sql = "UPDATE queries SET latest_query_data_id=%s WHERE query_hash=%s" |
| 120 | + cursor.execute(sql, (query_result_id, query_hash)) |
| 121 | + |
| 122 | + logging.info("[Manager][%s] Updated %s queries.", query_hash, cursor.rowcount) |
| 123 | + else: |
| 124 | + logging.error("[Manager][%s] Failed inserting query data.", query_hash) |
| 125 | + return query_result_id |
| 126 | + |
| 127 | + def run_query(self, *args): |
| 128 | + sql = args[0] |
| 129 | + logging.debug("running query: %s %s", sql, args[1:]) |
| 130 | + |
| 131 | + with self.db_transaction() as cursor: |
| 132 | + cursor.execute(sql, args[1:]) |
| 133 | + if cursor.description: |
| 134 | + data = list(cursor) |
| 135 | + else: |
| 136 | + data = cursor.rowcount |
| 137 | + |
| 138 | + return data |
| 139 | + |
| 140 | + def start_workers(self, workers_count, connection_string, max_connections): |
| 141 | + if self.workers: |
| 142 | + return self.workers |
| 143 | + |
| 144 | + # TODO: who closes the connection pool? |
| 145 | + pg_connection_pool = psycopg2.pool.ThreadedConnectionPool(1, max_connections, connection_string) |
| 146 | + runner = query_runner.redshift(pg_connection_pool) |
| 147 | + |
| 148 | + self.workers = [worker.Worker(self, runner) for i in range(workers_count)] |
| 149 | + for w in self.workers: |
| 150 | + w.start() |
| 151 | + |
| 152 | + return self.workers |
| 153 | + |
| 154 | + def stop_workers(self): |
| 155 | + for w in self.workers: |
| 156 | + w.continue_working = False |
| 157 | + w.join() |
| 158 | + |
| 159 | + @contextmanager |
| 160 | + def db_transaction(self): |
| 161 | + connection = self.db_connection_pool.getconn() |
| 162 | + cursor = connection.cursor() |
| 163 | + try: |
| 164 | + yield cursor |
| 165 | + except: |
| 166 | + connection.rollback() |
| 167 | + raise |
| 168 | + else: |
| 169 | + connection.commit() |
| 170 | + finally: |
| 171 | + self.db_connection_pool.putconn(connection) |
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