cassandra db performance

-cassandra-a The following result is displayed: YCSB Client 0.1Command line: -db com.yahoo.ycsb.db.CassandraClient10 -P workloads/workloada -p hosts=localhost -p columnfamily=data -load[OVERALL], RunTime(ms), 2287.0[OVERALL], Throughput(ops/sec), 437.25404459991256[INSERT], Operations, 1000[INSERT], AverageLatency(us), 1670.687[INSERT], MinLatency(us), 476[INSERT], MaxLatency(us), 280228[INSERT], 95thPerce

This article is composed of ImportNew This article is translated from apmblog.compuware.com by ImportNew-Tang youhua. To reprint this article, please refer to the reprinting requirements at the end of the article. In recent weeks, my colleagues and I attended the Hadoop and Cassandra Summit Forum in the San Francisco Bay Area. It is a pleasure to have such intensive discussions with many experienced big data experts. Thanks This article is translat

To analyze the performance of inserting massive data into the Cassandra Cluster or Oracle, that is, the insertion rate, we sampled the inserted data using a Java program, and finally plotted the sample results with Jfreechart. For the sake of fairness, we did the following: 1. All the loop variables are placed outside the loop 2. For Cassandra, the Replication

#=49758 blocks=1 obj#=139505 tim=2087740489121WAIT #3: nam= ' db file sequential read ' ela= 18210 file#=85 block#=260618 blocks=1 obj#=139505 tim=2087740507502WAIT #3: nam= ' sql*net more data from client ' ela= driver id=675562835 #bytes =1 p3=0 obj#=139505 tim=2087740508284WAIT #3: nam= ' db file sequential read ' ela= 16073 file#=203 block#=65574 Blocks=1 obj#=139501 tim=2087740524783 fully owned, throu

access, and one point, is the index of the cluster factor, when this value is very high (perhaps a lot of friends notice that Sometimes a SQL logical reading is much larger than the whole table, that's all, even if the data you access is small, it's possible to go through a full table scan, and the cluster factor problem is almost inevitable in the case of many different fields, so, to really master the optimization, We must know and understand the basic knowledge and concepts involved in the d

consumption are optimized, the total number of physical reads and logical reads is reduced. After the customer feedback is optimized, the performance is improved, but there are still performance problems during business peak hours in some workdays. We compared the performance data of poor service peak periods (that is, the problem period) with the normal service

By repeatedly executing the INSERT command into the database, compare the performance of accessing SQL Server by ADO. Net ole db provider, ADO. Net SQL provider and ADO. Net ODBC provider. { Function onclick () { Function onclick () { This. style. display = 'none'; document. getelementbyid ('Code _ closed_text_163726 '). style. display = 'none'; document. getelementbyid ('Code _ open_image_163726 '). style

See the 2016 version of the Laravel series Getting Started tutorial (a) Here is a passage: Eloquent is the Laravel ORM, the most powerful place in the Laravel system, not one of them. The original Laravel author in the development of the first version of the time spent a full one-third to get out eloquent. Of course, "to practice this work, must first self-palace", eloquent is also the slowest place in Laravel, so far cannot solve. (Routing, auto-loading, configuration dispersion, view-ra

XTRADB sysbench Performance TestInstall sysbench, the latest version is 0.5Yum Install Sysbench-yInitializing the test tableSysbench--test=/usr/share/doc/sysbench/tests/db/oltp.lua--oltp-table-size=1000000--mysql-table-engine=innodb-- Mysql-user=sysbench--mysql-password=sysbench--mysql-port=3306--mysql-host=10.0.37.123--mysql-db=test PrepareParameter description:

Dynamic Performance View The structure of the memory used to access the instance is constantly changingstatus information. In Oracle DB, you also maintain a dynamic dataset of database instance operations and performance. These dynamic performance is consideredThe diagram is based on a virtual table built on the i