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  • Wide dependence and narrow dependence of spark

    Wide dependence and narrow dependence of spark

    1 RDD dependencies and fault tolerant 1.1 RDD dependencies RDD can be divided into two types: narrow dependency (Narrow Dependencies) and wide dependency (Wide Dependencies), which is called Shuffle De in source code

    Shulou · 2022-06-03 07:25
  • Apache Calcite official documentation Chinese version-Advanced-1. Adaptor

    Apache Calcite official documentation Chinese version-Advanced-1. Adaptor

    The second part is advanced (Advanced) 1. Adapter (Adapters) 1.1 Schema adapters    A schema adapter allows Calcite to read specific types of data into a ta

    Shulou · 2022-06-03 07:25
  • Cultural media enterprise information Web management system, flexibly customized with movable type

    Cultural media enterprise information Web management system, flexibly customized with movable type

    A cultural media company, committed to the professional planning and support of all kinds of large-scale cultural media activities, the company's business includes: overall packaging of business scenes, marketing information planning and release, billboard customization, print advertising design and so on. Due to the lack of unity in the design, production and logistics management of advertising shelves and flat billboards in the industry

    Shulou · 2022-06-03 07:24
  • One: Greenplum5.10.2 production environment installation configuration (system initialization, installation preparation)

    One: Greenplum5.10.2 production environment installation configuration (system initialization, installation preparation)

    Centos7.5 installation and configuration Greenplum5.10.2 (production environment) service introduction: Greenplum MasterMaster only stores system metadata, and all business data is distributed on Segments. As the whole database system

    Shulou · 2022-06-03 07:24
  • JVM tuning experience (not necessarily accurate)

    JVM tuning experience (not necessarily accurate)

    1. Overall idea: it is normal for Young GC to occur frequently, but the frequency of Full GC should not be too high as much as possible to reduce its single execution time. The monitoring command used: jps-m-l lists the process status information running in JVM (

    Shulou · 2022-06-03 07:24
  • Ali Dubbo crazy update, what does Spring Cloud have to do with it?

    Ali Dubbo crazy update, what does Spring Cloud have to do with it?

    Recently, a major event happened in the open source community when Dubbo, the most widely used open source service framework for Java developers in the country, quietly restarted maintenance and released four maintenance versions in three months in a row. Last time I was writing to give up Dubbo, I chose the most popular Spring

    Shulou · 2022-06-03 07:24
  • Spark accumulator experiment

    Spark accumulator experiment

    The following code uses Pyspark + IPython to count the number of blank lines in the log: read the log and create RDD:myrdd = sc.textFile( "access.log" & # 41; do not use the accumulator: In [6

    Shulou · 2022-06-03 07:24
  • Fiddler get and post data

    Fiddler get and post data

    Get and post data can be used jmeter or python, but Fiddler can also be implemented Oh, very simple. Open Fiddler and go to the Composer-Parsed method to select get or post, among other things.

    Shulou · 2022-06-03 07:24
  • XX Reading platform-performance Analysis and investigation

    XX Reading platform-performance Analysis and investigation

    Background introduction: because "XX Reading platform" is a public welfare project, volunteers participate in product design, development and testing, and the organizational structure of the project is loose, so there is no benchmark for performance analysis and investigation of such products, so we can only work according to the common performance analysis strategies, aiming at the characteristics of the project products.

    Shulou · 2022-06-03 07:24
  • Love is new, AISHU interprets a new journey

    Love is new, AISHU interprets a new journey

    Aishu company is new. At the end of 2019, Aishu launched a new brand image: AISHU at the Multimodal data Intelligence Summit with the theme of "data Intelligence". The new brand image is naturally associated with artificial intelligence (AI) and data (SHU). He Hongfu, president of Aisu, said: "Aisu is adding."

    Shulou · 2022-06-03 07:24
  • Consideration for others in Tableau-- also on maintaining 100 under the action of filter

    Consideration for others in Tableau-- also on maintaining 100 under the action of filter

    Tableau is a software that is very easy to learn and use. After two or three hours of introductory tutorials, you can make a report that looks good and has a great sense of achievement. However, when you learn a certain level or engage in data visualization for a period of time, you will find that your Tableau level meets

    Shulou · 2022-06-03 07:24
  • Who can unify streaming computing by interpreting the 13 open source frameworks of 2018 Groupe?

    Who can unify streaming computing by interpreting the 13 open source frameworks of 2018 Groupe?

    2018 is coming to an end, and I am nearing the end of 018. I have planned a series of technical inventory articles at the end of the year, hoping to give readers a clear picture of the development and changes in important areas of technology in the past year. This paper is an inventory of real-time streaming computing at the end of 2018.

    Shulou · 2022-06-03 07:24
  • The thought and philosophy of Software Design

    The thought and philosophy of Software Design

    Here are some principles and ideas related to software design extracted from more classic books, which can not only help you to design software and write code, but also as the author of the preface to Mike Gancarz's "Linux/Unix Design ideas"

    Shulou · 2022-06-03 07:24
  • Getting started with Hadoop

    Getting started with Hadoop

    Introduction to MapReduce&HDFS I. introduction to Hadoop: structured data: tables, relational databases / / semi-structured data with strict constraints: html,json,yaml, metadata / / constrained, lack of strict constraints unstructured data: no reservation

    Shulou · 2022-06-03 07:24
  • Third, the analysis of spark--spark scheduling principle.

    Third, the analysis of spark--spark scheduling principle.

    [TOC] I. the execution process of wordcount program import org.apache.spark.rdd.RDDimport org.apache.spark. {SparkConf, SparkConte

    Shulou · 2022-06-03 07:24
  • Control values do not refresh synchronously when executing scripts in TestComplete

    Control values do not refresh synchronously when executing scripts in TestComplete

    Today, I wrote an automatic script for program installation. When debugging, I found that the values of some controls were not automatically refreshed. In view of this problem, after careful analysis and consultation, we found that TestComplete will not automatically refresh the changed values in the control, which requires us to control the refresh ourselves. 1. Fixed

    Shulou · 2022-06-03 07:24
  • Real-time synchronization of rsync+inotify files

    Real-time synchronization of rsync+inotify files

    Required software download address: http://pan.baidu.com/s/1ikubGhttp://pan.baidu.com/s/1d0C1L this experiment is to achieve one-way synchronization, non-two-way synchronization experimental environment: two virtual machines, I have two

    Shulou · 2022-06-03 07:24
  • Struts2.1.6+Spring2.0+Hibernate3.1 Integration graphic tutorial (ssh223)

    Struts2.1.6+Spring2.0+Hibernate3.1 Integration graphic tutorial (ssh223)

    I searched a lot of ssh323 configuration articles on the Internet, but some development environments are different and versions are also different. The following is a ssh323 development configuration tutorial I did for reference (because it was written a long time ago, so the environment is a little old, it is useful to get friends to OK according to the actual situation)

    Shulou · 2022-06-03 07:24
  • Read and write data of 8.spark core

    Read and write data of 8.spark core

       spark supports multiple data sources, which are generally divided into two parts: the file system and the database. File system    file system mainly includes local file system, Amazon S3, HDFS and so on. Files stored in the    file system can be stored in a variety of formats. Supported by spark

    Shulou · 2022-06-03 07:24
  • Big data Environment Building-hadoop 2.x distributed deployment-Cluster configuration

    Big data Environment Building-hadoop 2.x distributed deployment-Cluster configuration

    1. Download hadoop and extract 2. Assign role chown-R hadoop:hadoop hadoop group name to hadoop file: role name file name 3, ls-l to check whether the role assignment is successful or not. 4. Create ha.

    Shulou · 2022-06-03 07:24