install pyspark

Recently learning Spark, I am mainly programming with the Pyspark API, The network of Chinese interpretation is not many, API official documents are not very easy to understand, I combined with their own understanding of the record, convenient for others reference, but also convenient to review it This is the introduction of Pyspark. Rdd.histogram Histogram (buckets) The input parameter buckets can be a nu

2 DataframesSimilar to Python's Dataframe, Pyspark also has dataframe, which is handled much faster than an unstructured rdd. Spark 2.0 replaced the SqlContext with Sparksession. Various Spark contexts, including:Hivecontext, SqlContext, StreamingContext, and SparkcontextAll are merged into Sparksession, which is used only as a portal to read data. 2.1 Creating DataframesPreparatory work: >>> Import Pyspark

dataframe container, Datafram is equivalent to a table, row format is often used;Others can go online to understand the following: Dataframe/rdd the difference between the contact, the current mlib are mostly written with Rdd;Here is an pyspark to write:# # #first TableFrom Pyspark.sql import Sqlcontext,rowCcdata=sc.textfile ("/home/srtest/spark/spark-1.3.1/examples/src/main/resources/cc.txt")Ccpart = Ccdata.map (Lambda le:le.split (",")) # #我的表是以逗号做

through the basic data processingThe main purpose of the next release is to build a model of the data prediction through these known relationships, train with training data, test with test data, and then modify the parameters to get the best model# # Fifth Major modified version# # # Date 20160901The serious problem this morning is that there is not enough memory, because I have cached the rdd of the computational process, especially the initial data, which is so large that it is not enough.The

Installing the Redis moduleand pack the Redis module Pip install Redis mkdir redis mv .../site-packages/redis redis import shutil dir_name = "Redis" output_filename = "./redis" shutil.make_archive (output_filename, ' zip ', dir_name) Redis.zip folder structure, must have Redis folder as root folder redis/ redis/lock.pyc redis/connection.py redis/exceptions.py redis/utils.pyc redis/_ Compat.pyc redis/_compat.py redis/connection.pyc redis/__init__.py

2016 in Tsinghua research----launch the python version of Spark Direct input Pyspark-"Help Pyspark--help---" Execute python instance spark-submit/usr/local/spark-1.5.2-bin-hadoop2.6/examples/src/main/ python/pi.py-"Data parallelization, creating a parallelized collection input Pyspark >>>data=[1,2,3,4,5] >>>disdata=sc.parallelize (data) > >>disdata.reduce (Lambda

Spark mllib is a library dedicated to processing machine learning tasks in Spark, but in the latest Spark 2.0, most machine learning-related tasks have been transferred to the Spark ML package. The difference is that Mllib is based on RDD source data, and ML is a more abstract concept based on dataframe that can create a range of machine learning tasks, from data cleaning to feature engineering to model training. Therefore, the future in the use of spark processing machine learning tasks, will b

Basic operations: Get the Spark version number (in Spark 2.0.0 for example) at run time: SPARKSN = SparkSession.builder.appName ("Pythonsql"). Getorcreate () Print sparksn.version Create and CONVERT formats: The dataframe of

Catalogue1. Connect Spark 2. Create Dataframe2.1. Create 2.2 from the variable. Create 2.3 from a variable. Read JSON 2.4. Read CSV 2.5. Read MySQL 2.6. Created from Pandas.dataframe 2.7. Reads 2.8 from the parquet stored in the column. Read 3 from

From pyspark.sql import sparksession spark= sparksession\ . Builder \. appName ("DataFrame") \ . Getorcreate () #1生成JSON数据 Stringjsonrdd = spark.sparkContext.parallelize ((' ' ' {' id ': ' 123 ',

First, local CSV file read: The easiest way: Import pandas as PD lines = pd.read_csv (file) lines_df = Sqlcontest.createdataframe (lines) Or use spark to read directly as Rdd and then in the conversion lines = sc.textfile (' file ')If your CSV

Reference Address: 1, http://spark.apache.org/docs/latest/ml-guide.html 2, https://github.com/apache/spark/tree/v2.2.0 3, http://spark.apache.org/docs/latest/ml-collaborative-filtering.html From pyspark.ml.evaluation import Regressionevaluator to

When viewing dataframe information, you can view the data in Dataframe by Collect (), show (), or take (), which contains the option to limit the number of rows returned. 1. View the number of rows You can use the count () method to view the number

After Ubuntu16.04 is installed in Cuda and CUDNN, install Tensorflow,tensorflow and OPENCV can download the corresponding installation package on the Internet and install it directly from Pip and Conda directly under the path where the installation package is located, as shown in:The prerequisite is to download a good installation package. After installing TensorFlow, you also need to add the system path in

How to install it with a Chinese cabbage USB flash drive: Install the Win7 system, and then install the Chinese cabbage win7 This article describes how to install WIN7 with a Chinese cabbage USB flash drive. The installation of WIN7 is slightly more difficult than that of the ghostversion WIN7 system. If you have to t

It is understood that many people have installed dual systems before, but since the birth of VMware, it has brought more convenience to people. 1. Install VMware Workstation Because it is in Windows, you can choose to download it from the official VMware website or from the websites such as huajun or Pacific. The installation process is similar to other software in windows. You can click Next to install

How to install Win10, how to install Win10 system via hard disk, and how to install win10 How to install the system in the Win10 file on the hard disk. For WIN8/8.1, double-click the SETUP file to directly decompress the package, but the system kernel must be correct. For example, a 32-bit WIN8.1-to-WIN10 32-bit syste

1. Install EclipseA. Download the Linux version of Eclipse, unzip it into your tool directory, unzip it into the directory to run the program, if the following error occurs, you need to install the Java Runtime Environment JREB. Before installing the JRE, try running java-version to see if Java is installed, if you do not have the following prompt, the main idea is that you do not have Java installed, the p

How to install Ubuntu, this self Baidu. Site Specific installation: http://www.ubuntu.comI installed the Ubuntu Server version and then the full English installation. So its source is automatically positioned to the United StatesHere's how to change the source, the first one is the operation. The second is a detailed explanation of the operation.1 //Inside the specific input command,//indicates the content of the comment, do not need tube2sudo su-Root

Preface : Need to install JDK, Python, Android SDKFirst step: Installation and configuration of JDKJDK:http://www.oracle.com/technetwork/java/javase/downloads/jdk-netbeans-jsp-142931.htmlConfiguring Environment variablesIn system variables → new system variableVariable name: java_homeVariable value (fill in the path of the JDK installation): C:\Program files\java\jdk1.8.0_161Re-create the system variableVariable name: CLASSPATHVariable value:.; %java_