learn hive hadoop

Tags: style io color ar using SP data on ArtA colleague summarizes the hive SQL optimizations Hive is a tool that generates a string resolution that conforms to SQL syntax to generate mapreduce that can be executed on Hadoop. Using hive to design SQL as many of the features of distributed computing as possible differs

background:Data from e-commerce website user behavior data. Analyze processing for portal access logs. Technical solution: Use hadoop+hive offline processing log, generate PV and UV results, statistical analysis of user behavior log format "06/jul/2015:00:01:04 +0800" "GET" "http%3a//jf.10086.cn/m/" "http/1.1" "$" "http://jf.10086.cn/m/subject/ 100000000000009_0.html "" mozilla/5.0 (Linux; U Android 4.4.2;

(like Hadoop streaming). Similarly-streaming can used on the reduce side (please see the Hive Tutorial or examples)2. Partition-based Queries• The General SELECT query scans the entire table and uses the partitioned by clause to build the table, and the query can take advantage of the features of the partition pruning (input pruning)Hive The current implementati

Environment System: Ubuntu 15.04 32bit Hadoop version: hadoop-2.5.2.tar.gz JDK version: jdk-8u-45-linux-i586.tar.gz Hive Version: apache-hive-0.14.0-bin.tar.gz MySQL version: Open-mysql STEP 1: Installing the JDK1. Configure the installation JDK, unzip the JDK,TAR-ZXVF jdk-8u-45-linux-i586.tar.gz/usr/lib/j

Data storage (bucket table) bucket table for hive A bucket table is a hash of the data, which is then stored in a different file. For example, to create three buckets, the principle of creating a bucket is to create a bucket according to the name of the middle school student in the left table. In this way, the left side of the data in the bucket can be used to hash the student name, the same hash value of the column stored in the same bu

I. Purpose It mainly tests the relationship between the rate of distributed computing in the hadoop cluster and the data size and the number of computing nodes. II. Environment Hardware: inspur nf5220. System: centos 6.1 The master node allocates 4 CPU and 13 Gb memory on the master machine centos. The remaining three slave nodes are on the KVM virtual machine of the master machine, and the system is centos6.1. Hardware configuration: Memory 1 GB, 4

Bin/hive prompts "XXX illegal hadoop version: Unknown (expected a. B. * Format)" similar to this problem, View code public static String getMajorVersion() { String vers = VersionInfo.getVersion(); String[] parts = vers.split("\\."); if (parts.length String vers = versioninfo. getversion (); no value is obtained here. View "Import org. Apache. hadoop. u

The local hadoop function is added in hive0.7, that is, it is executed locally when the data volume is small, without the distributed mapred.In this way, the execution speed of small tasks will be greatly improved. What kind of tasks will adopt local hadoop? It is controlled by a hive parameter.Hive.exe C. mode. Local. Auto. inputbytes. Max If the processed d

I. Job input and output optimizationUse Muti-insert, union All, the union all of the different tables equals multiple inputs, union all of the same table, quite map outputExample　　Second, data tailoring2.1. Column ClippingWhen hive reads the data, it can query only the columns that are needed, ignoring the other columns. You can even use an expression that is being expressed.See. Http://www.cnblogs.com/bjlhx/p/6946202.html2.2. Partition clippingReduce

0 Basic Learning Hadoop to get started work line guide beginner: Hive and MapReduce: http://www.aboutyun.com/thread-7567-1-1.htmlMapReduce Learning Catalog SummaryMApreduce Learning Guide and Troubleshooting summary : http://www.aboutyun.com/thread-7091-1-1.htmlWhat is map/reduce:http://www.aboutyun.com/thread-5541-1-1.htmlMapreduce whole working mechanism diagram: http://www.aboutyun.com/thread-5641-1-1.h

, you can only see a simple section of SQL, almost no specific tasks to perform.At this point you can open a application, click TrackingURL: ApplicationmasterGo to the MapReduce Job job_1409xxxx,job pageClick Configuration on the leftHere are all the parameters for this job, enter string in the search box in the upper-right corner,Where key is the value of hive.query.string the complete hive SQL language.I haven't seen the

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] partition_spec [location ' Location1 '] partition_spec [location ' Location2 '] ...Partition_spec:: PARTITION (Partition_col = partition_col_value, Partition_col = Partiton_col_value, ...)Delete partition: ALTER TABLE table_name DROP partition_spec, Partition_spec,...Iv. changing table file format and organizationALTER TABLE table_name SET fileformat File_formatALTER TABLE table_name CLUSTERED by (userid) SORTED by (viewtime) to num_buckets bucketsThis command modifies the physical storage pro

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Hadoop is a platform for storing massive amounts of data on distributed server clusters and running distributed analytics applications, with the core components of HDFS and MapReduce. HDFS is a distributed file system that can read distributed storage of data systems;MapReduce is a computational framework that distributes computing tasks based on Task Scheduler by splitting computing tasks. Hadoop is an ess

(set mapred.reduce.tasks=The data of the output is then merged and sorted so that all results can be obtained.Note: You can use the limit clause to significantly reduce the amount of data. With limit N, the number of data records transferred to the reduce side (stand-alone) is reduced to n (number of maps). Otherwise, the data is too large to be able to produce results.3. Distribute byDivides the data into different output reduce/file according to the specified field.Insert overwrite local dire