Tags: Oda ADO website connected head map targe PWD DigitalSqoop is a database used in Hadoop and relational databases (Oracle,mysql ... Open source tools for data transfer between The following is an example of MySQL, SQL Server, using Sqoop to import data from MySQL, SQL Server into Hadoop (HDFS, Hive) #导入命令及参数介绍 Comm
copies used for replication. After the file is uploaded, the number of backups is determined and DFS is modified. replication does not affect the previous files or the files with the specified number of backups. It only affects the files with the default number of backups.;
3)Replication is determined by the client by default.If the client is not set, it will be read from the configuration file;
hadoop fs setrep 3 test/test.txthadoop fs -ls test/test.txt
The copy coefficient of replicated te
1. Hive IntroductionHive 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 dat
A few days ago, I wrote the file name to HDFs. Aaa.txt, this would have been possible, uploading to HDFs is not a task problem, but the file with hive is associated with the problem, not when the import error, is imported when nothing is reported, the default has been successful, but HIV E, how can not find data, repea
kylin2.3 version enables JDBC data sources (you can generate hive tables directly from SQL, eliminating the hassle of manually conducting data to hive and building hive tables)DescriptionThe JDBC data source, which is essentially
‘org.apache.hadoop.hive.hbase.HBaseStorageHandler‘WITH SERDEPROPERTIES ("hbase.columns.mapping" = ":key,cf1:val")TBLPROPERTIES ("hbase.table.name" = "hbase_hive_table_kv");Key and: key correspond to value and Val. hbase_hive_table_kv indicates hbase table name hive_hbase_table_kv indicates hive table name.
Create a hive table and import data
CREATE TABLE kv (key
The ability of data manipulation is the key to large data analysis. Data operations mainly include: Change (Exchange), move (moving), sort (sorting), transform (transforming). Hive provides a variety of query statements, keywords, operations, and methods for data manipulatio
Label:First, what is Sqoop Sqoop is an open source tool that is used primarily in Hadoop (Hive) and traditional databases (MySQL, PostgreSQL ...) Data can be transferred from one relational database (such as MySQL, Oracle, Postgres, etc.) to the HDFs in Hadoop, or the data in HDFs
family
The entire Hadoop consists of the following subprojects:
Member name use
Hadoop Common A low-level module of the Hadoop system that provides various tools for Hadoop subprojects, such as configuration files and log operations.
Avro Avro is the RPC project hosted by Doug Cutting, a bit like Google's Protobuf and Facebook's thrift. Avro is used to do later RPC of Hadoop, make Hadoop RPC module communicate faster, data structure is more compact
:14.744 seconds
hive> INSERT to TABLE Testa PARTITION (create_time) Select ID, name, area, code From Testb where id = 2;
Oktime taken:19.852 secondshive> Select * from testa;ok2 zy2 sh 10021 fish1 SZ 2015-07-082 fish2 sh 2015-07-083 fish3 HZ 2015-07-084 fish4 QD 2015-07-085 fish5 SR 2015-07-081 zy1 SZ 2015-07-11time taken:0.032 seconds row (s)
Description
1, id=1 the line in Testb, import to Testa, partition for 2015-07-11
2, the id=2 row in the TES
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 pr
Hive has two data modification methods
Load from file to hive table
Hive does not perform any conversion when loading data to a table. The loading operation is a pure copy/move operation, which moves
Hadoop HDFS Load BalancingHadoop HDFS
Hadoop Distributed File System (HDFS) is designed as a Distributed File System suitable for running on common hardware. It has a lot in common with the existing distributed file system. HDFS is a highly fault-tolerant file system that pr
The premise of integrating hive is that the Apache Hadoop cluster can start normally.Hadoop version apach2.6.0 hive version: 1.2.11. Install MySQL and give permissions:1.1: Create hive user and password:Create user ' hive ' identified by ' 123456 '1.2: Create the database: creates the databases
on HDFsIn the process of importing data from the local file system into a hive table, the data is temporarily copied to a directory in HDFs (typically copied to the HDFs home directory where the user is being uploaded, such as/home/wyp/), and then the
HIVE_HOME =/home/hadoop/hive-0.8.1At this time, we can perform the test. We primarily use hive for interaction. Actually, we submit data from a relational database to hive and save it to HDFS for big data computing.
Sqoop mainly
CPU time spent:510 msec
Ok
1
2
3
4
Time taken:27.157 seconds
This approach is often used when there is some historical data on the HDFS, and we need to do some hive operations on that data. This way avoids the cost of copying data
2. Import from local
Launched:
Job 0: Map: 3 Reduce: 1 Cumulative CPU: 5.46 sec HDFS Read: 687141 HDFS Write: 5 SUCCESS
Total MapReduce CPU Time Spent: 5 secondds 460 msec
OK
6803
Time taken: 59.386 seconds, Fetched: 1 row (s)
Hive> select count (*) from service_tmp;
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the a
typye comment ...) location ' path ';(p ath as the path in HDFs, note that this path is the upper-level directory of the file, that is, specify the file to the upper-level directory, The data in the directory will be used as data for that table. And this method does not create the table directory under Hive/warehouse,
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