Buckets

序 本文主要研究一下jvm的StringTable及SymbolTable StringTable及SymbolTable JDK的变动 在java7的时候将字符串常量池移到java heap，字符串常量池被限制在整个应用的堆内存中，在运行时调用String.intern()增加字符串常量不会使永久代OOM了。使用-XX:StringTableSize可以设置StringTableSize，默认是65536 java8的时候去除PermGen，将其中的方法区移到non-heap中的Metaspace，因而SymbolTable也跟随Metaspace移到了non-heap中 SymbolTable symbolic references in Runtime Constant Pool 一个完整的类加载过程必须经历加载( Loading )、连接( Linking )、初始化( Initialization )这三个步骤 其中类加载阶段就是由类加载器负责根据一个类的全限定名来读取此类的二进制字节流到JVM内部，然后将其转换为一个与目标类型对应的java.lang.Class对象实例；连接阶段要做的是将加载到JVM中的二进制字节流的类数据信息合并到JVM的运行时状态中，经由验证( Verification )、准备( Preparation )、解析( Resolution

How can I write an Elasticsearch terms aggregation that splits the buckets by the entire term rather than individual tokens? For example, I would like to aggregate by state, but the following returns new, york, jersey and california as individual buckets, not New York and New Jersey and California as the buckets as expected: curl -XPOST "http://localhost:9200/my_index/_search" -d' { "aggs" : { "states" : { "terms" : { "field" : "states", "size": 10 } } } }' My use case is like the one described here https://www.elastic.co/guide/en/elasticsearch/guide/current/aggregations-and-analysis.html with

Ruby newb here. I was given access creds to data on the amazon cloud. Im beginning to think the access keys are off but I could be wrong. Someone help! I have the aws folder as a plugin >> Version => "0.6.3" >> AWS::S3::Base.establish_connection!(:access_key_id =>'*******', :secret_access_key => '*****') => #<AWS::S3::Connection:0x007fd0539bb4c0 @options={:server=>"s3.amazonaws.com", :port=>80, :access_key_id=>"****", :secret_access_key=>"****"}, @access_key_id="****", @secret_access_key="****", @http=#<Net::HTTP s3.amazonaws.com:80 open=false>> >> AWS::S3::Service.buckets => AWS::S3:

How do you create a new Bin/Bucket Variable using pd.qut in python? This might seem elementary to experienced users but I was not super clear on this and it was surprisingly unintuitive to search for on stack overflow/google. Some thorough searching yielded this ( Assignment of qcut as new column ) but it didn't quite answer my question because it didn't take the last step and put everything into bins (i.e. 1,2,...). In Pandas 0.15.0 or newer, pd.qcut will return a Series, not a Categorical if the input is a Series (as it is, in your case) or if labels=False . If you set labels=False , then

I've been interacting with Amazon S3 through S3Fox and I can't seem to delete my buckets. I select a bucket, hit delete, confirm the delete in a popup, and... nothing happens. Is there another tool that I should use? It is finally possible to delete all the files in one go using the new Lifecycle (expiration) rules feature. You can even do it from the AWS console. Simply right click on the bucket name in AWS console, select "Properties" and then in the row of tabs at the bottom of the page select "lifecycle" and "add rule". Create a lifecycle rule with the "Prefix" field set blank (blank means

序 本文主要研究一下HystrixPropertiesStrategy HystrixPropertiesStrategy hystrix-core-1.5.12-sources.jar!/com/netflix/hystrix/strategy/properties/HystrixPropertiesStrategy.java /** * Abstract class with default implementations of factory methods for properties used by various components of Hystrix. * <p> * See {@link HystrixPlugins} or the Hystrix GitHub Wiki for information on configuring plugins: <a * href="https://github.com/Netflix/Hystrix/wiki/Plugins">https://github.com/Netflix/Hystrix/wiki/Plugins</a>. */ public abstract class HystrixPropertiesStrategy { /** * Construct an implementation of {@link

Paperclip doc about url options: You can choose to have the bucket's name placed domain-style (bucket.s3.amazonaws.com) or path-style (s3.amazonaws.com/bucket). How would look like the setup to actually have bucket's name placed domain-style? I can't force paperclip to generate urls like bucket.s3.amazonaws.com instead of s3.amazonaws.com/bucket. Just set it like this: Paperclip::Attachment.default_options[:url] = ':s3_domain_url' Or like this: Paperclip::Attachment.default_options.merge!( :url => ':s3_domain_url' ) Add :url and :path to the Paperclip default options in your application.rb or

序 本文主要研究一下如何使用bucket4j-spring-boot-starter进行限流 maven <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-cache</artifactId> </dependency> <dependency> <groupId>com.github.ben-manes.caffeine</groupId> <artifactId>caffeine</artifactId> </dependency> <dependency> <groupId>javax.cache</groupId> <artifactId>cache-api<