bigdata

问题 I am using spark-submit --class main.Main --master local[2] /user/sampledata/parser-0.0.1-SNAPSHOT.jar to run a java-spark code, is it possible to run this code using war file instead of jar,since i am looking to deploy it on tomcat i tried by war file but it gives class not found exception 来源： https://stackoverflow.com/questions/40734240/how-to-deploy-war-file-in-spark-submit-command-spark

问题 I would like my map and reduce tasks to run in parallel. However, despite trying every trick in the bag, they are still running sequentially. I read from How to set the precise max number of concurrently running tasks per node in Hadoop 2.4.0 on Elastic MapReduce, that using the following formula, one can set the number of tasks running in parallel. min (yarn.nodemanager.resource.memory-mb / mapreduce.[map|reduce].memory.mb, yarn.nodemanager.resource.cpu-vcores / mapreduce.[map|reduce].cpu

问题 I have a very large and also sparse matrix (531K x 315K), the number of total cells is ~167 Billion. The non-zero values are only 1s. Total number of non-zero values are around 45K. Is there an efficient NMF package to solve my problem? I know there are couple of packages for that and they are working well only for small size of data matrix. Any idea helps. Thanks in advance. 回答1: scikit-learn will handle this easily ! Code: from time import perf_counter as pc import numpy as np import scipy

问题 I have a very large and also sparse matrix (531K x 315K), the number of total cells is ~167 Billion. The non-zero values are only 1s. Total number of non-zero values are around 45K. Is there an efficient NMF package to solve my problem? I know there are couple of packages for that and they are working well only for small size of data matrix. Any idea helps. Thanks in advance. 回答1: scikit-learn will handle this easily ! Code: from time import perf_counter as pc import numpy as np import scipy

问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

问题 I'm new to Spark & Scala and I got exception after calling saveAsTextFile(). Hope someone can help... Here is my input.txt: Hello World, I'm a programmer Hello World, I'm a programmer This is the info after running "spark-shell" on CMD: C:\Users\Nhan Tran>spark-shell Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). Spark context Web UI available at http://DLap:4040 Spark context available as 'sc' (master = local[

问题 Suppose I have 2 tables as shown below. Now, if I want to achieve result which sql will give using, insert into B where id not in(select id from A) which will insert 3 George in Table B. How to implement this in hive? Table A id name 1 Rahul 2 Keshav 3 George Table B id name 1 Rahul 2 Keshav 4 Yogesh 回答1: NOT IN in the WHERE clause with uncorrelated subqueries is supported since Hive 0.13 which was released more than 3 years ago, on 21 April, 2014. select * from A where id not in (select id

问题 Suppose I have 2 tables as shown below. Now, if I want to achieve result which sql will give using, insert into B where id not in(select id from A) which will insert 3 George in Table B. How to implement this in hive? Table A id name 1 Rahul 2 Keshav 3 George Table B id name 1 Rahul 2 Keshav 4 Yogesh 回答1: NOT IN in the WHERE clause with uncorrelated subqueries is supported since Hive 0.13 which was released more than 3 years ago, on 21 April, 2014. select * from A where id not in (select id

问题 I have a dataset of 22 GB. I would like to process it on my laptop. Of course I can't load it in memory. I use a lot sklearn but for much smaller datasets. In this situations the classical approach should be something like. Read only part of the data -> Partial train your estimator -> delete the data -> read other part of the data -> continue to train your estimator. I have seen that some sklearn algorithm have the partial fit method that should allow us to train the estimator with various