hive big data

1. Start the HIVESERVER2 server, the listening port is 10000, the boot name order: Hive--service Hiveserver2 ;//put it in the background to run, to determine whether the success of the flag is: JPS, whether there is a runjar process, or Netstat-anop |grep 10000 see if Port 10000 is connected, if you can connect, then you can use Beeline through $>hive service hiveserver2 This command to connect in2. Connect

common data import methods of hiveHere we will introduce four types:(1) import data from the local file system to the hive table;(2) import data from HDFS to hive tables;(3) query the corresponding data from other tables and impo

hdfs://10.2.6.102/user/hive/warehouse/tmp.db/test_virtual_columns/t2.txt 7 0 2. Table: Nginx InputFormat: Org.apache.hadoop.hive.ql.io.RCFileInputFormat Query: Select hostname, Input__file__name,block__offset__inside__file,row__offset__inside__block From Nginx where dt= ' 2013-09-01 ' limit 10; Result: 10.1.2.162 hdfs://10.2.6.102/share/data/log/nginx_rcfile/2013-09-01/000000_0 537155468 0

1. BackgroundWith the advent of the big data era, people are discovering more and more data. But how do you store and analyze Big data ?Stand-alone PC storage and analysis data has many bottlenecks, including storage capacity, rea

Hive handles JSON data in a way that has two directions in general.1, the JSON as a string into the Hive table, and then by using the UDF function to resolve the data that has been imported into hive, such as using the lateral VIEW json_tuple method, get the required column

Org.apache.hadoop.mapred.YarnChild.main (Yarnchild.java:158)caused By:java.lang.RuntimeException:Can ' t parse input data: ' 2,hello,456,0 'At User_info_copy.__loadfromfields (User_info_copy.java:335) at User_info_copy.parse (User_info_copy.java:268) at Org.apache.sqoop.mapreduce.TextExportMapper.map (Textexportmapper.java: the) ... Tenmorecaused by:java.lang.NumberFormatException:For input string: "2,hello,456,0"At java.lang.NumberFormatException

You can import data to hive tables in multiple ways.1. Import from an external tableYou can create an external table on hive, specify the hdfs path when creating the table, copy the data to the specified hdfs path, and insert the data into the external table at the same time

Big Data Network Design essentialsFor big data, Gartner is defined as the need for new processing models for greater decision-making, insight into discovery and process optimization capabilities, high growth rates, and diverse information assets.Wikipedia is defined as a collection of

simple application to understand the rules of user movement, which is home address and workplace detection.We used a common method to complete home address and workplace detection. We asked 102 users who participated in our user studies to mark their home addresses and workplaces and to compare our calculations with their markings.We found that after recovering the missing data, the accuracy of home address detection increased by 88%, and the accurac

Hive processes count distinct to produce data skewProblem description The problematic data is skewed to the category, but it cannot be joined on the Map side, and special keys are excluded for processing. set hive.groupby.skewindata=true;insert overwrite table ad_overall_day partition(part_time='99', part_date='2015-11-99') select account_id, nvl(client_id,-1), n

In the following chapters, we will focus on how to use big data for an enterprise. I have roughly summarized three aspects, congratulations, your company is enjoying the benefits and value of big data. Before getting started, we must first make it clear that the enterprise management should have a clear idea and the

Little and big refer to the size of the memory address, and end refers to the end of the data.Little-endian refers to the low memory address where the end of the stored data (that is, low bytes) Big-endian refers to the memory address high place at the end of the data (that is, high-byte) example: 0x1234 to be stored i

systems that may have existed for decades with systems that were only implemented a few months ago? This is still before big data and Hadoop. By adding unstructured, Data, NoSQL, and Hadoop to a combination, you will soon get a huge data integration project. The simplest way to describe a

Big Data series Topics1. There are also questions about the large amount of data processingSuch as billions of integers,1G of memory, find the MedianAnother online search similar blog " 10 massive data processing and 10 methods big summary "http://www.cnblogs.com/cobbli

I've been asked this question a lot lately, so just write a summary.There are 2 basic scenarios for importing hive data into HBase:1. hbase builds a table, and then an external table is built in hive, so that when data is written in Hive, HBase also updates2. MapReduce reads

Truncate of big data tables, column deletion, shrink recovery High Level 1. truncate operations on Big Data Tables 1. truncate related tables. truncate first deletes the space records occupied by the table in the data dictionary. 2. Release all

　　"Big Data Training" Do you still have poetry and distance in your life? July late in the world the longest Zhangjiajie glass bridge is about to open, it is said that the high-level phobia Oh! Referring to this, we have gathered the world's "high-risk" sites for everyone to take a look at this group of data.Los Angeles High-altitude transparent slide in the federal Bank building outside the building of the

For the students in the Linux development, Shell is a basic skill to say.For the students of the operation and maintenance. The shell can also be said to be a necessary skill for the shell. For the release Team, software configuration management students. The shell also plays a very critical role in the data. In particular, the development of distributed systems in full swing, very many open source projects are carried out in full swing (as if not dis

Tags: DSL java style order man LAN 2.7 CLI policyObjectiveThis article is primarily a summary of the pits that were encountered when importing data from MySQL to hive with Sqoop. Environment: System: Centos 6.5 hadoop:apache,2.7.3 mysql:5.1.73 jdk:1.8 sqoop:1.4.7 Hadoop runs in pseudo-distributed mode. One, the import command usedI mainly refer to an article to test, Sqoop:im

, which is P and Q, are also needed. GEOMF with geo-constrained performance is better than WMF. This means that geographic modeling can improve the performance of matrix decomposition, which has been verified in experiments.Summarize Geo-modeling using two-dimensional kernel density estimation. Use weighted matrix decomposition to make recommendations based on location-access data, where location access