@ConfigurationProperties(prefix="spring.datasource.druid") 3、问题还是没解决,猜测应该是type没有正确配置。在网上查找资料,找到答案,使用type()方法进行配置 @Bean(name ="frameworkDruidDS")@ConfigurationProperties(prefix="spring.datasource.druid")public DataSourcedataSource(){return DataSourceBuilder.create(...
com.alibaba.druid.pool.DruidDataSource 使用druid数据源 No supported DataSource type found 去掉 <!-- druid连接池 <scope>runtime</scope> -->
代码语言:javascript 复制 ...Caused by:java.lang.IllegalStateException:No supported DataSource type found... 报错信息提示已经很明显了,dataSource的Type项有错,只需要分别在foo和bar的数据源配置类中添加下配置即可: 代码语言:javascript 复制 dataSourceProperties.setType(com.alibaba.druid.pool.DruidDataSourc...
privateDataSourceLookupdataSourceLookup=newJndiDataSourceLookup(); //已初始化的数据源集合 使用数据源链接时 会从这里面取。根据 determineCurrentLookupKey 返回的key @Nullable privateMap<Object, DataSource> resolvedDataSources; //已初始化的默认数据源 @Nullable privateDataSource resolvedDefaultDataSource; /...
Added type verification for INSERT and REPLACE to validate that strings and string arrays aren't mixed#15920 Concurrent replacenow allows pending Peon segments to be upgraded using the Supervisor#15995 Changed thetargetDataSourceattribute to return a string containing the name of the datasource. This...
{"queryType":"topN","dataSource":{"type":"table","name":"wikipedia"},"dimension":"page","metric":{"type":"numeric","metric":"a0"},"threshold":10,"intervals":{"type":"intervals","intervals":["-146136543-09-08T08:23:32.096Z/146140482-04-24T15:36:27.903Z"]},"granularity":"all...
datasource: username: root password: 123456 #?serverTimezone=UTC解决时区的报错 url: jdbc:mysql://localhost:3306/springboot?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8 driver-class-name: com.mysql.cj.jdbc.Driver 1. 2. 3. ...
public void dataSource(QueryType query) { setDimension(DruidMetrics.DATASOURCE, DataSourceUtil.getMetricName(query.getDataSource())); } 代码示例来源:origin: io.druid/druid-processing private static int countRequiredMergeBufferNum(Query query, int foundNum) { // Note: A broker requires merge buf...
Add an EXTERN table function and an "external" DataSource type that represents external data. The "external" DataSource would be used by the SQL layer to represent ingestion sources, and would be used to help generate ingestion tasks, but it would not understood by the native query execution...
query.dataSource = name req = Net::HTTP::Post.new(uri.path, { 'Content-Type' => 'application/json' }) req.body = query.to_json response = Net::HTTP.new(uri.host, uri.port).start do |http| http.read_timeout = 60_000 # ms http.request(req) end if response.code != '200'...