jupyter spark

Introduction to spark Core conceptsA spark application initiates various concurrent operations on the cluster by the drive program, and a drive program typically contains multiple executor nodes, and the drive program accesses the SAPRK through a Saprkcontext object. The Rdd (Elastic distributed DataSet)----A distributed collection of elements, and the RDD supports two operations: conversion operations, act

1. Code Writingif (args.length! = 3) {println ("Usage is org.test.WordCount Return}Val sc = new Sparkcontext (args (0), "WordCount",System.getenv ("Spark_home"), Seq (System.getenv ("Spark_test_jar")))Val textfile = Sc.textfile (args (1))Val result = Textfile.flatmap (line = Line.split ("\\s+")). Map (Word (Word, 1)). Reducebykey (_ + _)Result.saveastextfile (args (2))2. Export jar package, here I named Wordcount.jar3. OperationBin/spark-submit--maste

:31)At Com.esotericsoftware.kryo.Kryo.readObject (kryo.java:711)At Com.esotericsoftware.kryo.serializers.ObjectField.read (objectfield.java:125)... More16/05/24 09:42:53 ERROR sparksqldriver:failed in [selectDt.d_year, item.i_brand_id brand_id, Item.i_brand Brand, SUM (ss_ext_sales_price) Sum_aggFrom Date_dim DT, Store_sales, itemwhere Dt.d_date_sk = Store_sales.ss_sold_date_skand Store_sales.ss_item_sk = Item.i_item_skand item.i_manufact_id = 436and dt.d_moy=12GROUP BY Dt.d_year, Item.i_brand,

Contents of this issue:1 Spark streaming Alternative online experiment2 instantly understand the nature of spark streamingQ: Why cut into spark source version from spark streaming? Spark did not start with spark streamin

Below is a look at the use of Union:Use the collect operation to see the results of the execution:Then look at the use of Groupbykey:Execution Result:The join operation is the process of a Cartesian product operation, as shown in the following example:To perform a join operation on RDD3 and RDD4:Use collect to view execution results:It can be seen that the join operation is exactly a Cartesian product operation;The reduce itself, which is an action-type operation in an RDD operation, causes the

Copy an objectThe content of the copied "input" folder is as follows:The content of the "conf" file under the hadoop installation directory is the same.Now, run the wordcount program in the pseudo-distributed mode we just built:After the operation is complete, let's check the output result:Some statistical results are as follows:At this time, we will go to the hadoop Web console and find that we have submitted and successfully run the task:After hadoop completes the task, you can disable the had

SOURCE Link: Spark streaming: The upstart of large-scale streaming data processingSummary: Spark Streaming is the upstart of large-scale streaming data processing, which decomposes streaming calculations into a series of short batch jobs. This paper expounds the architecture and programming model of spark streaming, and analyzes its core technology with practice,

This time we start Spark-shell by specifying the Executor-memory parameter:The boot was successful.On the command line we have specified that the memory of executor on each machine Spark-shell run take up is 1g in size, and after successful launch see Web page:To read files from HDFs:The Mappedrdd returned in the command line, using todebugstring, can view its lineage relationship:You can see that Mappedrdd

1-Questions raised 2-Linear regression 3-Theoretical derivation 4-python/spark implementation1 #-*-coding:utf-8-*-2 fromPysparkImportSparkcontext3 4 5theta =[0, 0]6Alpha = 0.0017 8sc = Sparkcontext ('Local')9 Ten deffunc_theta_x (x): One returnSUM ([i * j forI, JinchZip (theta, X)]) A - defCost (x): -thx =func_theta_x (x) the returnThx-x[-1] - - defPartial_theta (x): -DIF =Cost (x) + return[DIF * I forIinchX[:-1]] - +

The output from the WordCount in a previous article shows that the results are unsorted and how do you sort the output of spark?The result of Reducebykey is Key,value position permutation (number, character), then the number is sorted, and then the key,value position is replaced by the sorted result, and finally the result is stored in HDFsWe can find out that we have successfully sorted out the results!Spark