greenplum

Label:Brief introduction:Greenplum is a database repository based on the MPP architecture developed by PostgreSQL database, which is suitable for OLAP systems, and supports the storage and processing of 50PB (1PB=1000TB)-level massive data.Background:One business today is the need to synchronize the underlying data in an Oracle database to the Greenplum Data Warehouse for data analysis and processing.Scale:Produce around 60G of data per day, and the l

Tags: Big Data greenplum expansionAny distributed system will have to face the matter of expansion, or the significance of the distribution system is greatly discounted, this article on the GP to expand the preparation process, in fact, the implementation of the expansion is a very simple process, the main thing to do is to prepare.Preparing to create a host information fileCreate 6 host information files with GP Administrator OS user gpadmin:

Tags: sch limit cat CLI Service Type box external table batchWe want to export data from MySQL to Greenplum, follow these steps to1: Export tables from MySQL to external filesTaking Schema_name.table_name as an exampleSelectproduct_id, Number, name, English_name, Purchase_name, System_name, Bar_code, Category_one, Category_two, Category_three, parent_id, Parent_number, brand_id, supplier_id, Price, Ad_word, Give_integral, Shelf_life, FROM_ Unixtime (s

I/O, or you can configure compression at the field level. Application Scenarios: Do not need to update and delete the table When accessing a table, it is basically a full table scan and does not need to be indexed You cannot frequently add fields to a table or modify field types Grouping extensionsThe group by extension of the Greenplum database can perform some common calculations and is more efficient than an application or st

Greenplum db configuration 1. adjust the kernel Parameter kernel. sysrq = 1fs. file-max = 101365kernel. shmmax = 5001000000kernel. shmall = 4000000000kernel. msgmni = 2048kernel. sem = 250 512000 100 2048kernel. shmmni = 4096net. core. netdev_max_backlog = javasnet. core. rmem_default = 1048576net. core. rmem_max = 1048576net. core. wmem_default = 262144net. core. wmem_max = 262144net. ipv4.conf. all. arp_filter = 1net. ipv4.ip _ local_port_range = 10

Greenplum Common commands gpstate Command Parameter Function gpstate-B => display brief State gpstate-c => display master image gping gpstart-D => specify data directory (default value: $ master_data_directory) gpstate-E => display the segment gpstate-F with image status issues => display the backup host details gpstate-I => display the griplum database version gpstate-M => display the image instance Synchronization status gpstate-P => display use por

Greenplum experiment to dynamically add nodes 1. I initialized a greenplum cluster on the hadoop4-hadoop6. 2. All primary and mirror are started. I connect to the master and insert records in the two tables: Aligputf8 = # insert into pg_catalog.pg_filespace_entry values (3052,15, '/home/gpadmin1/cxf/gpdata/gpdb_p1/gp6 '); Insert 0 1 Aligputf8 = # insert into pg_catalog.pg_filespace_entry values (3052,16, '/

Create a table. Without primarykey or uniquekey, GreenPlum uses the first column as the distribution key zwcdb # createtabletab01 (idint, namevarchar (20) by default. NOTICE: partition -- Partition Create a table. Without primary key or unique key, GreenPlum uses the first column as the distribution key zwcdb = # create table tab01 (id int, name varchar (20); NOTICE: Table doesnt have distributed by clause

Greenplum metadata errors can also affect the data backup process, and the workaround for this error is described in this article when a backup of a data structure using PG_DUMP results in a backup failure due to a lack of distribution policy.PhenomenonWhen you use the Pg_dump command to back up the data structure of the entire Greenplum database:-f /data/dailybak/dw-nodata-$(date+%Y%m%d%H%M%-v-F-p5432 -h-

modification takes effect:Blockdev -- getra/dev/xvdb more/sys/block/xvdb/queue/schedulercluster_run_all_nodes "hostname; service iptables status" 4. install mkdir-p/data/softon the Master to upload greenplum-db-4.3.4.2-build-1-rhel5-x86_64.zip to the Masterunzip greenplum-db-4.3.4.2-build-1-RHEL5-x86_64.zip/bin/bash greenplum-db-4.3.4.2-build-1-RHEL5-x86_64.bin5

Os:centos 7.4gp:gpdb-5.7.0 Three machinesNode1 as Master hostNode2, Node3 for segment host Psql Login Node1 Master $ psql-d peiybdb peiybdb=# Select Current_database (); Current_database ------------------ peiybdb (1 row) CREATE TABLE tmp_t0 ( C1 varchar), C2 varchar (+), c3 varchar (+) ); NOTICE: Table doesn ' t has ' distributed by ' clause--Using column named ' C1 ' as the Greenplum Database data Distribu tion key for this table. HINT: The '

The JDBC is the driver used to access a database with Java. Greenplum has a full working JDBC implementation. In that short article we'll have a. # # Download and install It is possible to download the JDBC for Greenplum directly from the Greenplum Community Edition site (http://www.greenplum . com/community/downloads/database-ce/). Look for the * "Connectivi

In Greenplum, it is difficult to obtain the field names after execution of any SQL statement. For example, when writing a common tool, use the copy command In Greenplum, it is difficult to obtain the field names after execution of any SQL statement. For example, when writing a common tool, use the copy command In Greenplum, it is difficult to obtain the field

Greenplum + Hadoop learning notes-11-distributed database storage and query processing, hadoop-11- 3. 1. Distributed Storage Greenplum is a distributed database system. Therefore, all its business data is physically stored in the database of all Segment instances in the cluster. In the Greenplum database, all tables are distributed, therefore, each table is slic

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 source table, and perform the following analysis:

Failed to connect Greenplum with the report tool, there is no error in the report schema. The Search_path should be set up after judgment. 1) Connection Greenplum C:\windows\system32>psql-h 1.2.345.678-p 5432-d tpc_1-u gpuser 2) View Search_path tpc_1# show Search_path; 3) Modify Search_path tpc_1=# ALTER DATABASE tpc_1 set Search_path to "$user", Public, "My_schema"; 4) Exit tpc_1=# \q 5) Connecti

Recent database Schema tuning, a part of the business from MySQL migrated to Greenplum up, originally MySQL with Unix_timestamp and from_unixtime two functions can achieve standard Time and Unix time of mutual conversion, Turning over the Greenplun document, no similar functions were found, so we used Python to customize these two functions, and implemented two business-related functions on the basis of these two functions, which are recorded here.1,

Greenplum Query partition table information itself is not particularly friendly, need to do table association and do the corresponding processing, in order to facilitate later maintenance, here to create two views for the DBA to directly query, very convenient.1. Create a view of the list partition table createorreplaceviewv_gp_list_partition_metaasselect Pp.parrelid::regclasstable_name,pr1.parchildrelid::regclasschild_tbl_name,pr1.parnameas partition

Before you perform a greenplum installation, you need to configure the relevant system parameters, otherwise you will be prone to unexpected errors.1. Modifying system ParametersEdit/etc/sysctl.conf, the following is the minimum configuration Kernel.shmmax =500000000kernel.shmmni =4096kernel.shmall =4000000000kernel.sem =2505120001002048KERNEL.SYSRQ =1kernel.core_uses_pid =1KERNEL.MSGMNB =65536kernel.msgmax =65536kernel.msgmni =2048net.ipv4.tcp_syncoo

suboptimal execution plans, resulting in degraded performance. Because of this, we have developed specifications for MySQL, such as the size of the table not more than how big, as far as possible to write a simple query, through the primary key to access the data, do not write more than 2 tables of interrelated SQL and so on. MySQL is more suitable for simple OLTP applications with business logic. For PostgreSQL, regardless of the business logic is simple or complex, OLTP or OLAP load, Postgr