# -*- coding: utf-8 -*-
from pyflink.datastream import StreamExecutionEnvironment
from pyflink.datastream.functions import RuntimeContext, FlatMapFunction, MapFunction
import json
import re
import logging
import sys
from pyflink.datastream.state import ValueStateDescriptor, MapStateDescriptor,ListStateDescriptor
from pyflink.datastream.connectors.kafka import FlinkKafkaConsumer, TypeInformation
from pyflink.common.typeinfo import Types
from pyflink.datastream.connectors.elasticsearch import Elasticsearch7SinkBuilder, ElasticsearchEmitter, FlushBackoffType
from pyflink.datastream.connectors import DeliveryGuarantee
from pyflink.common.serialization import SimpleStringSchema
from datetime import datetime
logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(asctime)s-%(levelname)s-%(message)s")
logger = logging.getLogger(__name__)
# 创建 StreamExecutionEnvironment 对象
env = StreamExecutionEnvironment.get_execution_environment()
env.set_parallelism(1)
env.add_jars("file:///root/pyflink/flink-sql-connector-kafka_2.11-1.14.4.jar")
TEST_KAFKA_SERVERS = "1.1.146.13:9092,1.1.146.14:9092,1.1.146.16:9092"
TEST_KAFKA_TOPIC = "clpf-gaps-topic"
TEST_GROUP_ID = "clpf_gaps_group"
def get_kafka_customer_properties(kafka_servers: str, group_id: str):
properties = { "bootstrap.servers": kafka_servers, "fetch.max.bytes": "67108864", "key.deserializer": "org.apache.kafka.common. serialization.StringDeserializer", "value.deserializer": "org.apache.kafka.common.serialization.StringDeserializer", "enable.auto.commit": "false", # Close kafka automatic submission, bool type cannot be passed here Error "group.id": group_id, } return properties
properties = get_kafka_customer_properties(TEST_KAFKA_SERVERS, TEST_GROUP_ID)
class LogEvent:
# id means global pipeline
id = None
# source ip
source = None
#process name
fileTag= None
#file name
fileName = None
#scene code
serviceCode = None
#system name
appName= None
#time stamp
timestamp = None
#offset volume
offset = None
def __init__(self, id,source, fileTag,fileName, serviceCode,appName,timestamp,offset,message,index_name):
self.id=id
self.source = source
self.fileTag = fileTag
self.fileName = fileName
self.serviceCode = serviceCode
self.appName = appName
self.timestamp= timestamp
self.offset = offset
self.message = message
self.index_name = index_name
def to_dict(self):
return {
"id": str(self.id),
"source": str(self.source),
"fileTag": str(self.fileTag),
"fileName":str(self.fileName),
"serviceCode":str(self.serviceCode),
"appName":str(self.appName),
"timestamp":self.timestamp,
"offset":str(self.offset),
"message":self.message,
"index_name": self.index_name
}
def get_source(self):
return self.source
class MyMapFunction(FlatMapFunction):
def open(self, runtime_context: RuntimeContext):
self.process_id_to_bus_seq = runtime_context.get_map_state(MapStateDescriptor('process_id_map_bus_seq', Types.STRING(), Types.STRING()))
self.gapslist=runtime_context.get_list_state(ListStateDescriptor('process_list', Types.LIST(Types.STRING())))
def flat_map(self, raw_message):
id = ''
source =''
fileTag =''
fileName =''
serviceCode =''
appName =''
timestamp =''
process_id = ''
offset =''
message =''
unique_key =''
try:
raw_message = raw_message.replace("\n", "")
#print(raw_message)
out=json.loads(raw_message)
message = out['message']
source = out['source']
fileTag = out['file_tag']
serviceCode='00000'
appName=out['app_name']
timestamp=str(out.get('time_nano'))
offset=out.get('offset')
fileName=out.get('file_name')
# pattern = r".*? Receive data.*?\d{26 }"
# matchObj = re.match(pattern, message)
except:
#logger.info('111111111111111111111111111')
return
if 'Start grading log' in message:
self.process_id_to_bus_seq.clear()
self.gapslist.clear()
# to record Add to cache
self.gapslist.add(message)
return
print('111111111111111111111')
self.has_start='0'
for x in self.gapslist.get():
if '开始分级日志' in x:
self.has_start='1'
break;
print('222222222222222222222222')
#<BUSS_SEQ_NO>20601020230621010072249201</BUSS_SEQ_NO>
if "</BUSS_SEQ_NO>" in message:
#print('1111111111111111111111111111')
pat = re.compile(r"\<BUSS_SEQ_NO\>(\d+)\<\/BUSS_SEQ_NO\>")
bus_seq = pat.search(message).group(1)
self.process_id_to_bus_seq.put('id', bus_seq)
id=bus_seq
for output_message in self.gapslist.get():
print(output_message)
date_str = datetime.now().strftime("%Y%m%d")
index_name = 'flink-log-clpf-gaps-' + str(date_str)
try:
log_event = LogEvent(id, source, fileTag, fileName, serviceCode, appName, timestamp, offset,output_message, index_name)
yield log_event.to_dict()
except:
return
self.gapslist.clear()
self.has_start='0'
log_event = LogEvent(id, source, fileTag, fileName, serviceCode, appName, timestamp, offset,message, index_name)
yield log_event.to_dict()
return
if self.has_start == '1':
self.gapslist.add(message)
return
id= self.process_id_to_bus_seq.get('id')
if not id:
id ='0'
try:
log_event = LogEvent(id, source, fileTag, fileName, serviceCode, appName, timestamp, offset, message, index_name)
yield log_event.to_dict()
except:
return
data_stream = env.add_source(
FlinkKafkaConsumer(topics=TEST_KAFKA_TOPIC,
properties=properties,
deserialization_schema=SimpleStringSchema()) \
.set_commit_offsets_on_checkpoints(True) \
.set_start_from_latest()
).name(f"消费{TEST_KAFKA_TOPIC}主题数据")
env.add_jars("file:///root/pyflink/flink-sql-connector-elasticsearch7-3.0.1-1.16.jar")
# .set_hosts(['1.1.101.32:9200','1.1.101.33:9200','1.1.101.38:9200']) \
es_sink = Elasticsearch7SinkBuilder() \
.set_bulk_flush_backoff_strategy(FlushBackoffType.EXPONENTIAL, 5, 1000) \
.set_emitter(ElasticsearchEmitter.dynamic_index('index_name')) \
.set_hosts(['1.1.101.32:9200','1.1.101.33:9200','1.1.101.38:9200']) \
.set_delivery_guarantee(DeliveryGuarantee.AT_LEAST_ONCE) \
.set_bulk_flush_interval(1000) \
.set_connection_request_timeout(30000) \
.set_connection_timeout(31000) \
.set_socket_timeout(32000) \
.build()
def get_line_key(line):
message = ''
try:
message = line.replace("\n", "")
source = json.loads(message)['source']
except:
source = '999999'
return source
#data_stream.key_by(get_line_key).flat_map(MyMapFunction(),output_type=Types.MAP(Types.STRING(), Types.STRING())).sink_to(es_sink).set_parallelism(3)
#data_stream.key_by(get_line_key).flat_map(MyMapFunction(),output_type=Types.MAP(Types.STRING(), Types.STRING())).print()
data_stream.key_by(get_line_key).flat_map(MyMapFunction()).print()
# Execute the task
env.execute('flink_elink_midsys')