greenplum jobs

Zhou Jincho, worked for listening to the cloud, maintaining the uptime of MySQL and Greenplum, and investigating database technology solutions for listening to cloud business scenarios.Listen to Cloud Week goldOn September 24, Greenplum will be able to participate in an offline event in Beijing, where he is entitled to share in the practice of real-time analysis of cloud big data. On this occasion, he share

Greenplum (gpdb) Open source! ~ The Greenplum database (gpdb) is a non-shared, massively parallel processing database designed to handle large-scale data analysis tasks, including data warehousing, business Intelligence (OLAP), and data mining. GPDB is designed for massive data analysis, using the most advanced cost-based query optimizer, is currently one of the most advanced open source database, the PB

Log Analysis of ETL background system data is currently underway. You can view the tasks that have been running for a long time, find the jobs that have consumed a long time, and optimize the logic and database layers. this article focuses only on Database optimization (including SQL statement adjustment and greenplum table DK adjustment ). view a job that takes about 30 minutes, find the corresponding sour

Greenplum (GPDB) is open source !~ Greenplum database (GPDB) is a non-shared large-scale parallel processing database. It is mainly used to process large-scale data analysis tasks, including data warehouses, business intelligence (OLAP), and data mining. GPDB is designed for mass data analysis. It uses the most advanced cost-based query optimizer and is one of the most advanced open source databases, quick

flex gcc gcc-c++ krb5-devel libcurl-devel l Ibevent-devel libkadm5 libyaml-devel libxml2-devel perl-extutils-embed python-devel Python-paramiko Python-pip Python-psutil python-setuptools readline-devel xerces-c-devel zlib-devel pip install lockfile Conan Yum Install OpenSSL-devel 3.2 Creating the installation directorymkdir/opt/greenplum -Rgpadmin:gpadmin/opt/ greenplum-R gpadmin:gpadmin/usr/local/ yil

Any system upgrade has a quantitative change to a qualitative transition: when the version is small, it is usually very simple, the version is a big difference, is a nightmare. But when the version is small, we tend to be complacent. This article actually records from GP4.2.7.2 to 4.3.5.0 upgrade process, from the version number see little difference, but the GP version of the name, the second change is already a big upgrade. Another thing to note is that the upgrade of the GP database size is n

Installing the Performance Monitor Data collection agentThe Gpadmin user performs the following steps "only on Master node".Using the Gpperfmon_install command,Greenplum The command is already included when the installation is complete. After installation, a database named Gpperfmon is established and the Gpmon user is used by default. The password for the system user Gpmon the command line.[Email protected] ~]$ gpperfmon_install--enable--password gpm

May 4-May 24, intermittent tossing and greenplum for three weeks, finally came to an end: the expansion, found that the expansion of capacity, had to upgrade; upgrade, found a bunch of errors, had to pause the repair database; fixed, continue to upgrade; Finally completed the expansion. This process is written in 8 blog post to the implementation process and problem solving are recorded, here to summarize the whole process. Originally had to write, bu

Planning: 1 Msater, 2 segmentsEnvironment: Ubuntu 16.04Greenplum Version: ' Postgres (greenplum Database) 5.3.0 build 2155c5a-oss1. Installationsudo add-apt-repository ppa:greenplum/dbsudo apt-get updatesudo apt-get install Greenplum-db-oss2. Configure/etc/hostsEdit the/etc/hosts file and make sure this it includes the host names and all interface address names for every machine p Articipating in your

familiar with the Greenplum database of friends should know that the base of the GP is using PostgreSQL database to implement the MPP architecture, and for the transaction control this piece, is also the use of PostgreSQL Multi-version control MVCC, to achieve the read and write separation, Obviously, the performance of database queries per second is improved.at the read commit transaction isolation level, the query request only reads data changes for

The system is not active recently and has not been upgraded. Therefore, you can optimize the entire ETL system on a stable basis. Top 10 cost time jobs are listed on a daily basis for analysis. The top1 costtime job uses the window functions first_value and last_value. The result SQL uses first_value, the window functions are sorted twice. Use the explain Section Code It can be found that the two sort consumption is about 1.7 times that of one sort,

Tags: mit query too database str parameter PCH View TestOriginal link Absrtact: Not accumulate Kuibu not even thousands of miles, want to become a qualified database administrator, first of all should have solid basic knowledge and problem processing ability. This article refers to the pivotal official FAQ to explain some common issues that are often encountered when using and managing Deepgreen Greenplum.Do not accumulate Kuibu not even thousands of miles, to become a qualified database admini

clear (delete) database objects before recreating database objects-C,--create creating the target database-E,--exit-on-error error exits, default to continue-I,--index= name restores the index of the specified name-j,--jobs=num can perform multiple tasks in parallel to restore work-L,--use-list= file name sort output from this file using the specified table of contents-N,--schema=name only restores objects in this mode-O,--no-owner ignores the owner

GreenPlum database fault recovery test This article describes gpdb master fault and recovery testing and segment fault recovery testing. Environment Introduction:Gpdb version: Binary version 5.5.0OS: CentOS linux 7.0Master segment: 192.168.1.225/24 hostname: mfsmasterStadnby segemnt: 192.168.1.227/24 hostname: server227Segment Node 1: 192.168.1.227/24 hostname: server227Segment Node 2: 192.168.1.17/24 hostname: server17Segment Node 3: 192.168.1.11/24

Example1-SingleGreenplumfileserver (gpfdist) tables (|) asthecolumndelimiter. CREATEE Example 1-Single Greenplum file server (gpfdist) instance on multiple NIC machine Creates a readable external table named ext_expenses using the gpfdist protocol. the files are formatted with a pipe (|) as the column delimiter. CREATE E Example 1-Single Greenplum file server (gpfdist) instance on multiple NIC machineCre