hive big data

This article describes some practical tips for using the Spark batch job to process Twitter data stored in hive. First we need to introduce some dependency packs, as follows:Name: = "sentiment" Version: = "1.0"Scalaversion: = "2.10.6"Assemblyjarname in assembly: = "Sentiment.jar"Librarydependencies + + "Org.apache.spark"% "spark-core_2.10"% "1.6.0"% "provided"Librarydependencies + + "Org.apache.spark"% "sp

null value to the new key.Turn the null key into a by Adding a random number to the string, the skewed data can be divided into different reduce to solve the data skew problem. 9. Different data type associations generate data skew, and the default hash operation assigns reduce by the ID of the int type, which causes

Hive [3] data type and file format,Hive supports most of the basic data types in relational databases, and also supports three Collection types. 3.1 Hive basic data types support multiple integer and floating-point

Error when writing data to a table by hive: Java.lang.IllegalArgumentException:java.net.URISyntaxException:Illegal character in Scheme name at index 0:file:/// Usr/software/hive-1.2.1/lib/hive-hbase-handler-1.2.1.jar Throughout the online postings, after trying to solve the problem: Edit

Hadoop, data processing is high latency, and maintenance costs are too high.Such requirements and systems are quite generic and typical. So we describe it as a normative model, as an abstract problem statement.A high-level presentation of our Production environment Overview:watermark/2/text/ahr0cdovl2jsb2cuy3nkbi5uzxqvawrvbnr3yw50b2jl/font/5a6l5l2t/fontsize/400/fill/i0jbqkfcma==/ Dissolve/70/gravity/center ">This is a typical

Tags: des style blog http color io os using ARDemandIn the recommended system scenario, if the underlying behavior data is too small, or too sparse, the recommended algorithm is likely to not reach the required number. For example, if you want to recommend 20 item for each item or user, but only 8 by calculation, the remaining 12 will need to be complete. Welcome reprint, please specify Source: http://blog.csdn.net/u010967382/article/details/39674047S

I. Issues to be aware of:1.hive does not support row-level additions and deletions2. Using overwrite will overwrite the original data of the table and into is appended.3.local copies a copy of the local file system and uploads it to the specified directory, without local only moving the data on the local file system to the specified directory.4. If the directory

barsRealTime Druid–a Real time OLAP data store. Operationalized Time series Analytics databases Pinot–linkedin OLAP data store very similar to Druid.Data AnalysisThe analysis tools range from declarative languages like SQL to procedural languages like Pig. Libraries on the other hand is supporting out of the box implementations of the most common data mining and

about the the selection of compression formats for Hadoop HDFS files, which we tested with a number of real track data, came to the following conclusion: 1. system's default compression encoding method Defaultcodec is better than GZIP compression coding in terms of compression performance or compression ratio . This is not consistent with some of the online views, many people on the internet think GZIP the compression ratio is higher, the esti

Hive provides two data import methods. 1. import from the table: Insert overwrite table test Select * from test2; 2 import from file: 2.1 import from a local file: Load data local inpath '/Hadoop/aa.txt' overwrite into table test11 2.2 import from hdfs Load data inpath '/hadoop/aa.txt' overwrite into table test

Mongodb Synchronizing data to Hive (ii)1. OverviewThe previous article mainly introduced the mongodb-based, through the direct connection MongoDB way data mapping to carry on the data query, but that way will have the influence on the online database, so today introduces the second way-bson-based, Even if you export th

Hive Data Typeunderlying data type:Tinyint,smallint,int,bigint,boolean,float,double,string,binary,timestamp,decimal,char,varchar,date.Complex data types:Includes Array,map,struct,union, which are composed of the underlying types.The Array:array type is made up of a series of elements of the same

[Author]: KwuSqoop export data from the relational library to Hive,sqoop supports the number of conditions in the query relational library to the Hive Data Warehouse, and the fields do not need to match the fields in the Hive table.Specific implementation of the script:#!/bi

Http://www.aboutyun.com/thread-7450-1-1.html There is a very large table: Trlog The table is about 2T.Trlog:CREATE TABLE Trlog(PLATFORM string,user_id int,Click_time String,Click_url string)Row format delimitedFields terminated by ' t '; Data:PLATFORM user_id Click_time Click_urlWEB 12332321 2013-03-21 13:48:31.324/home/WEB 12332321 2013-03-21 13:48:32.954/selectcat/er/WEB 12332321 2013-03-21 13:48:46.365/er/viewad/12.htmlWEB 12332321 2013-03-21 13:48:53.651/er/viewad/13.htmlWEB 12332321 2013-

Because a lot of data is on the hadoop platform, when migrating data from the hadoop platform to the hive directory, the default delimiter of hive is that for smooth migration, you need to create a table Because a lot of data is on the hadoop platform, when migrating

Hive creates a partition table based on the current day (""). hql is as follows: CREATE EXTERNAL TABLE IF NOT EXISTS product_sell(category_id BIGINT,province_id BIGINT,product_id BIGINT,price DOUBLE,sell_num BIGINT)PARTITIONED BY (ds string)ROW FORMAT DELIMITEDFIELDS TERMINATED BY '\t'LINES TERMINATED BY '\n'STORED AS TEXTFILE; Insert data based on the date as the partition. The shell script is as follows

Use the TOS to build the model and import the data from Oracle to the Local: After the build job, form a separate program that can run: Upload the generated zip file to the Hadoop cluster on the machine with the hive environment: [Email protected] work]$lsfile.ZipJobinfo.propertiesJoinLib[[email protected] work]$ CDJoin/[[Email protected]Join]$lsbigdatademo Items Join_0_1.jar join_run.bat join_run.SHsrc

A few days ago, DW user feedback, in a table (Rcfile table) with "Insert Overwrite table partition (XX) Select ..." When inserting data, duplicate files are generated. Looking at the job log, we found that map task 000005 had two task attempt, the second attempt was speculative execution, and the two attemp renamed the temp file as an official file in the task close function, Rather than through the two-phase commit protocol of the MapReduce framework

The built-in data types of hive can be divided into two main categories: (1), underlying data type, (2), and complex data types. Among them, the underlying data types are: Tinyint,smallint,int,bigint,boolean,float,double,string,binary,timestamp,decimal,char,varchar,date. The

Because a lot of data is on the Hadoop platform, when migrating data from the hadoop platform to the hive directory, the default delimiter of hive is \, In order to smooth migration, you must specify the data delimiter when creating a table. The syntax is as follows: Create