Examples of using Flink in English and their translations into Chinese
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Flink implements its own memory management inside the JVM.
Apache Flink is an Apache project for Big Data processing.
ApacheFlink是一个用于大数据处理的Apache项目。A group of twelve or more cows is called a flink.
头或更多的牛被称为Flink。Flink will most likely throw an exception similar to the following.
Flink很可能抛出类似如下的异常：.This allows you to support Spark and Flink as well.
同时，它也可以支持Spark和Flink。On the elementary level is Flink composed of streams and transformations.
在基础层面，Flink程序由流和转换组成。At a basic level, Flink programs consist of streams and transformations.
在基础层面，Flink程序由流和转换组成。Savepoints enable updates to a Flink program or a Flink cluster without losing the application's state.
保存点可以在不丢失应用程序状态的情况下对Flink程序或Flink群集进行更新。In retrospect, this fits with my overall impressions of Apache Flink and the Apache Flink community.
回想起来，这符合我对ApacheFlink和ApacheFlink社区的总体印象。Apache Flink 1.7.0 is the first version to fully support Scala 2.12.
ApacheFlink1．7．0是第一个完全支持Scala2．12的版本。We see more and more companies using Flink to build their data-processing platform.
我们看到越来越多的公司，在使用Flink构建他们的数据处理平台。Apache Flink includes a lightweight fault tolerance mechanism based on distributed checkpoints.
ApacheFlink具有一种基于分布式检查点的轻量级容错机制。This means that Flink computes results as though the failure never occurred.
这意味着Flink的计算结果就好像从未发生过故障一样。Flink's API has followed a similar set of goals and development path.
Flink的API也有类似的目标和发展路线。In the sample Flink application that we will discuss today, we have.
在我们今天要讨论的Flink应用程序示例中，我们有：.It features keynotes, talks from Flink users in industry and academia, and hands-on training sessions on Apache Flink.
它包含主题演讲Flink用户在工业和学术界的讲座以及关于ApacheFlink的实践培训课程。Use a full fledged stream-processing framework such as Spark Steaming, Flink, Storm.
使用发展成熟的流处理框架，例如SparkSteaming、Flink或者Storm。Flink is a data processing system and an alternative to Hadoop's MapReduce component.
Flink是一个数据处理系统，是HadoopMapReduce组件的替代品。Next is Apache Flink, a tool that analyzes streaming data, at 289%.
增长第二快的是ApacheFlink，这是一种分析流数据的工具，增长了289%。Flink applications are fault-tolerant in the event of machine failure and support exactly-once semantics.
Flink应用程序在发生机器故障时具有容错能力，并且支持exactly-once语义。
