myid hive

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

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

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

# HTTP://ARCHIVE.APACHE.ORG/DIST/HIVE/HIVE-2.1.1/# ================================================================== Installing HiveTAR-ZXVF apache-hive-2.1.1-bin.tar.gz-c/usr/localmv/usr/local/apache-hive-2.1.1-bin/usr/local/hive-2.1.1rm–r ~/ APACHE-

[Spark] [Hive] [Python] [SQL] A small example of Spark reading a hive table$ cat Customers.txt1Alius2Bsbca3Carlsmx$ hiveHive>> CREATE TABLE IF not EXISTS customers (> cust_id String,> Name string,> Country String>)> ROW FORMAT delimited fields TERMINATED by ' \ t ';hive> Load Data local inpath '/home/training/customers.txt ' into table customers;

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

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

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

Compared with many tutorials, Hive has introduced concepts first. I like to install them first, and then use examples to introduce concepts. Install Hive first. Check whether the corresponding yum source has been installed. If the yum source blog. csdn. netnsrainbowarticledetails42429339hive is not installed according to the yum source file written in this tutorial Compared with many tutorials,

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.