spring:
|
application:
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name: train_recommend
|
datasource:
|
# 是否显示dao中打印的SQL语句
|
show-sql: true
|
username: root
|
# password: Bjjmy_63661766
|
password: Bjjmy_2020
|
# driver-class-name: sunje.goldilocks.jdbc.GoldilocksDriver
|
url: jdbc:mysql://124.70.39.177:3306/train_recommend?useUnicode=true&characterEncoding=UTF-8&useSSL=false
|
type: com.walker.jdbc.ds.DefaultDataSource
|
hikari:
|
minimum-idle: 5
|
idle-timeout: 5000
|
pool-name: databasePool_walker
|
connection-timeout: 10000
|
connection-test-query: select 1
|
# username: root
|
# password: SearunMaster@2019
|
# driver-class-name: com.mysql.cj.jdbc.Driver
|
# url: jdbc:mysql://193.193.193.236:3306/cpmsxc?serverTimezone=Asia/Shanghai&zeroDateTimeBehavior=convertToNull&autoReconnect=true&useSSL=false&failOverReadOnly=false
|
|
# username: GQCG
|
# password: GQCG
|
# driver-class-name: oracle.jdbc.OracleDriver
|
# url: jdbc:oracle:thin:@61.163.210.202:6021/orcl
|
server:
|
port: 8082
|
servlet:
|
context-path: /
|
session:
|
timeout: 30m
|
|
logging:
|
level:
|
root: info
|
org:
|
springframework: error
|
com:
|
walker: info
|
# file: # logging.file.path 和 logging.file.name，只会有一个生效，配了path不要配name，配了name不要配path，只配path时name默认为spring.log，想路径和文件名同时生效可配置logging.file.name=d:/logs/mylog.log
|
# name: ${spring.application.name}.log #日志文件名
|
# path: logs #日志存储路径
|
# max-history: 30 #保留多少天的日志
|
# max-size: 10MB
|
# pattern:
|
# rolling-file-name: ${LOG_FILE}.%d{yyyy-MM-dd}.%i.gz
|
logback:
|
rollingpolicy:
|
file-name-pattern: ${LOG_FILE}.%d{yyyy-MM-dd}.%i.gz
|
max-history: 1
|
max-file-size: 2
|
|
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
# 平台配置支持功能
|
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
|
iplatform:
|
|
# 平台缓存，是否启用redis缓存，默认使用基于内存缓存.
|
# 注意：如果开启redis缓存，业务工程必须依赖(walker-support-redis)
|
cache:
|
redis-enabled: false
|
|
# 相似度分析模块使用
|
similarity:
|
# 是否启用相似度模块，如果禁用则要确保注入时支持为空
|
enabled: true
|
milvus-host: 172.16.60.65
|
milvus-port: 19530
|
word-file: d:/dev_tools/ai/w2v_sogou_dim300_vocab.txt
|
embedding-file: d:/dev_tools/ai/w2v_sogou_dim300.npy
|
|
# 调度器模块，是否启用
|
scheduler:
|
enabled: true
|
|
# 数据采集模块
|
gather:
|
enabled: true
|
