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[Hive] The hive pits we've stepped on over the years.

1. Missing MySQL driver package 1.1 Problem Description caused by:org.datanucleus.store.rdbms.connectionpool.DatastoreDriverNotFoundException:The specified datastore Driver ("Com.mysql.jdbc.Driver") was wasn't found in the CLASSPATH. Please check your CLASSPATH specification, and the name of the driver. At Org.datanucleus.store.rdbms.connectionpool.AbstractConnectionPoolFactory.loadDriver ( abstractconnectionpoolfactory.java:58) at Org.datanucleus.store.rdbms.connectionpool.BoneCPConnectionP

Hive Consolidation HBase: Reading/Writing tables in HBase through hive

Written in front one: In this paper, hive and hbase are integrated so that hive can read the data in HBase, so that the two most commonly used frameworks in the Hadoop ecosystem are combined to complement each other. Written in front two: Use software description To contract all software storage directory: /home/yujianxin First, hive integrated hbase pr

Hive simple instructions for use, hive simple instructions for use

Hive simple instructions for use, hive simple instructions for use I usage: Hive: Start hive The command must end with a semicolon and tell hive to execute the command immediately, case insensitive. Show tables; View tables Desc tablename; view the columns in the tabl

Hive lock (translated from hive wiki)

Use Cases of hive concurrency Model Concurrency support (http://issues.apache.org/jira/browse/HIVE-1293) is a must for databases and Their Use Cases are well understood. At least, we should try to support concurrent reading and writing. It is useful to add several locks that are currently locked. There is no direct requirement to add an API to explicitly obtain the lock. Therefore, all locks are obtained i

Hive Learning Path (vi) data type and storage format for hive SQL

default database table is stored in the/user/hive/warehouse directory.(1) TextfileTextfile is the default format and is stored as a row store. Data is not compressed, disk overhead is large, data parsing cost is large.(2) SequencefileSequencefile is a binary file support provided by the Hadoop API, which is easy to use, can be segmented, and compressible. Sequencefile supports three types of compression options: NONE, RECORD, BLOCK. The record compre

Hive creates hive table partitions using HDFS directory data

Describe:Hive Table Pms.cross_sale_path is established with the date as the partition, the HDFs directory/user/pms/workspace/ouyangyewei/testusertrack/job1output/ The data on the Crosssale, written on the $yesterday partition of the tableTable structure:HIVE-E "Set Mapred.job.queue.name=pms;drop table if exists pms.cross_sale_path;create external table Pms.cross_sale_ Path (track_id string,track_time string,session_id string,gu_id string,end_user_id string,page_category_id bigint, algorithm_id i

Read the table structures of all tables in hive, and create tables and indexes in the new hive database.

Read the table structure in hive. This article contains the table class, the field class is used to encapsulate the table structure, and it will be OK after a rough look. (Change the code format) 1. Table class Public class table { Private string tablename; Private list Public table (){ } Public table (string tablename, list This. tablename = tablename; This. Field = field; } Public String gettablename (){ Return tablename; } Public void setta

Hive replaces default Derby's hive-site.xml configuration with MySQL as meta data

Tags: Word exist Derby configuration driver data pre XML color / /server110:3306/hive?createdatabaseifnotexist=true Hive replaces default Derby's hive-site.xml configuration with MySQL as metadata

Hive Use summary __ optimization

Hive The main features of each version Introduction to Key new Feature of Hive versions The website downloads the introduction of the page Hive Foundationcommand-line interface The user interface provided by hive includes: CLI, Client, WebUI several ways, we usually mainly use CLI, the future cluster upgrade may have

File formats for hive-4-hive

Hive file Format1, TextfileDefault file formatData does not compress, disk overhead, data parsing overhead, can be combined with gzip, BZIP2 use (System Auto-detection, automatic decompression when executing queries)Data is not segmented by hive, so data cannot be manipulated in parallelTo create a command:2, Sequencefileis a binary file support provided by the Hadoop APIEasy to use, divisible, compressible

Hive optimization------Control the number of maps and reduce in hive tasks

Transfer from http://superlxw1234.iteye.com/blog/1582880First, control the number of maps in the hive task:1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files, the file size of input, the size of the file block set by the cluster (currently 128M, can be set dfs.block.size in hive; command to see, this parameter can no

Hive creates/deletes/truncates a table (translated from hive wiki)

Here list common operations, more refer to https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-Create%2FDrop%2FTruncateTable Simple Table Creation Create Table table_name (ID int, dtdontquery string, name string) Create a partitioned table Create Table table_name (ID int, dtdontquery string, name string) partitioned by (date string) A table can have one or more partitions. Each partition exists in a

Hive in Layman's

Hive in layman 's1. What is Hive1) What is hive?Here is an introduction to the Hive wiki:Hive is a data warehouse infrastructure built on top of Hadoop. IT provides tools to enable easy data ETL, a mechanism to put structures on the data, and the capability to querying and a Nalysis of large data sets stored in Hadoop files.

Hive optimization------Control the number of maps and reduce in hive tasks

first, control the number of maps in the Hive task:1. Typically, the job produces one or more map tasks through the directory of input.The main determinants are: The total number of input files, the file size of input, the size of the file block set by the cluster (currently 128M, can be set dfs.block.size in hive; command to see, this parameter can not be customized modification);2. For example:A) Assuming

Hive Command Line interface

Hive Command Line interface The command-line interface, the CLI, is the most common way to interact with hive. Using the CLI, users can create tables, check patterns, query tables, and so on. CLI Options The following command shows a list of options provided by the CLI: [Hadoop@localhost hive]$ hive--help--service CLI

Hive Learning Pathway (18) shell operations for Hive

One, hive command line 1, hive support some of the commands Command Description quit Use quit or exit to leave the interactive shell. Set Key=value Use the To set value of particular configuration variable. One thing to note here's if you misspell the variable name, the CLI won't show an error. Set This would print a list of configuration variables that is overridden by user or

Hive 6, Hive DML (Data manipulation Language)

DML mainly operates on the data in the Hive table, but because of the characteristics of Hadoop, the performance of a single modification and deletion is very low, so it does not support the level operation;Mainly describes the most common methods of BULK INSERT data:1. Loading data from a fileSyntax: LOAD [LOCAL] ' filepath ' [OVERWRITE] into TABLE [PARTITION (Partcol1=val1, partcol2=val2 ...) ]Cases:Load ' /opt/data.txt ' into Table table1; --If t

Hive (iv): C # accesses hive through ODBC

Label:After the configuration of the Hive ODBC driver is successful, it becomes easier to access it through C #, which is divided into query and update operations, directly attached to the test code. The target platform for C # Engineering compilation needs to be noted in this process Read-Write access code example: Public classhiveodbcclient {/// /// /// Public Statichiveodbcclient Current {Get{return Newhiveodbcclie

Hive-based Log Data Statistics

Conversion from http://blog.csdn.net/suine/article/details/5653137 1. Hive Introduction Hive is an open-source hadoop-based data warehouse tool used to store and process massive structured data. It stores massive data in the hadoop file system instead of the database, but provides a data storage and processing mechanism for database-like databases, and uses hql (SQL-like) the language automatically manages

Hive--hive supported file formats and compression algorithms (1.2.1) __hive

Overview As long as the correct file types and compression types (such as Textfile+gzip, sequencefile+snappy, etc.) are configured, hive can read and parse data as expected and provide SQL functionality. The structure of the sequencefile itself has been designed to compress content. So for the Sequencefile file compression, not the Sequencefile file, and then the file compression. Instead, the Content field is compressed when the Sequencefile file is

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