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Displaying posts with tag: benchmark (reset)

How-to and Performance Impact of SSL-Encrypted Replication Traffic in Galera Cluster for MySQL
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August 7, 2014 By Severalnines

 

Deploying Galera Clusters across WAN environments might lead to concerns around data privacy and security - especially as more organisations are having to comply with national and international regulations. You would not want hackers eavesdropping or intercepting replication traffic. Encrypted replication hides what is sent between the Galera nodes, and makes sure each node is only communicating to the ones it trusts. But how expensive is encryption?

 

In this blog, we will show you how to encrypt the replication traffic between your Galera nodes. We will also look into the performance impact of this

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MySQL 5.6 Performance on POWER8
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The following sentence is brought to you by IBM Legal: The postings on this site are my own and don’t necessarily represent IBM’s positions, strategies or opinions.

My previous post covered the work needed to get MySQL 5.6.17 running reliably on modern POWER systems. The patch to MySQL 5.6.17 that’s needed is available here.

For those who don’t know, POWER8 is the latest Power Architecture processors from IBM (my employer). These chips will be available in systems from IBM in June 2014 (i.e. Real Soon Now(TM)). There’s

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Interview with John Partridge, President & CEO of Tokutek, Inc.
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“As the database gets used, shards can grow at an uneven rate and one shard might carry a majority of the load. MongoDB corrects this by balancing shards, but because of MongoDB’s lack of concurrency this operation can stall the database unacceptably.”–John Partridge.

I have interviewed John Partridge, President & CEO of Tokutek, Inc.

RVZ

Q1. Tokutek recently announced to have eliminated performance issues of MongoDB sharding. What was the problem?

John Partridge: The problem occurs after a shard is created. As the database gets used, shards can grow at an uneven rate and one shard might carry a majority of the load. MongoDB corrects this by balancing

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When it’s faster to use SQL in MySQL NDB Cluster over memcache API
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Memcache access for MySQL Cluster (or NDBCluster) provides faster access to the data because it avoids the SQL parsing overhead for simple lookups – which is a great feature. But what happens if I try to get multiple records via memcache API (multi-GET) and via SQL (SELECT with IN())? I’ve encountered this a few times now, so I decided to blog about it. I did a very simple benchmark with the following script:

#!/bin/bash
mysql_server="192.168.56.75"
mc_server="192.168.56.75"
mysql_cmd="mysql -h${mysql_server} --silent --silent"
mysql_schema="percona"
mysql_table="memcache_t"
mc_port=11211
mc_prefix="mt:"
function populate_data () {
  nrec=$1
  $mysql_cmd -e "delete from ${mysql_table};" $mysql_schema > /dev/null 2>&1
  for rec in `seq 1 $nrec`
  do
    $mysql_cmd -e "insert into ${mysql_table} values ($rec,
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TokuDB vs Percona XtraDB using Tokutek’s MariaDB distribution
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Following are benchmark results comparing Tokutek TokuDB and Percona XtraDB at scale factor 10 on the Star Schema benchmark. I’m posting this on the Shard-Query blog because I am going to compare the performance of Shard-Query on the benchmark on these two engines. First, however, I think it is important to see how they perform in isolation without concurrency.

Because I am going to be testing Shard-Query, I have chosen to partition the “fact” table (lineorder) by month. I’ve attached the full DDL at the end of the post as well as the queries again for reference.

I want to note a few things about the results:
First and foremost, TokuDB was configured to use quicklz compression (the default) and InnoDB compression was not used. No tuning of TokuDB was performed, which means it will use up to 50% of memory by

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Sysbench OLTP: MySQL-5.6 vs. MariaDB-10.0
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Oracle has now launched MySQL-5.6.10-GA, so it is time to come up with some new benchmark results. The test candidates in this benchmark run are

  • MySQL-5.5.29
  • MySQL-5.6.10
  • MariaDB-5.5.28a
  • MariaDB-10.0.1

The 5.5 versions are in because I wanted to check for any regressions. In the past we have often seen performance regressions in newer versions which were caused by new features.

This time the benchmark was run on a different box. The main difference is that this box does not have SSD but a high performance RAID-5 with 512M of battery-backed cache. Besides that the machine has 16 cores out of which 12 were used for mysqld and the other 4 for sysbench.

The benchmark uses sysbench-0.5 OLTP with 8 tables and 10G worth of data. InnoDB buffer pool was 16G, InnoDB log group capacity 4G (the maximum for MySQL-5.5). The

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How slow can SSD be or why is testing a new server performance important?
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Recently we have helped our customer to migrate their entire application stack from one data center to another. Before we were brought on-board, customer had already placed an order for a new set of servers with the new hosting provider. All of them were suppose to be high-end systems – many CPU cores, plenty of RAM and RAID array build on top of SSD drives. As the new machines started being available to us, we began setting up the new environment. At some point it turned out that the new machines were actually slower compared to the several year old systems and their load was much higher under comparable traffic.

We examined several of the new servers and each time the conclusion was that the problems were related poor I/O performance. In the benchmarks a RAID 10 array

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MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1
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0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE

Summary

The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 (http://mysql.com/products/cluster/) to deliver over 8x higher

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Performance Testing of MySQL Cluster: The flexAsynch Benchmark
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0 0 1 509 2903 Homework 24 6 3406 14.0 Normal 0 false false false EN-US JA X-NONE

Following the release of MySQL Cluster 7.2 (http://mysql.com/products/cluster/), the Engineering has been busy publishing a range of new performance benchmarks

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Benchmarking MySQL Replication with Multi-Threaded Slaves
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0 0 1 1145 6530 Homework 54 15 7660 14.0 Normal 0 false false false EN-US JA X-NONE

The objective of this benchmark is to measure the performance improvement achieved when enabling the Multi-Threaded Slave

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Showing entries 1 to 10 of 91 Next 10 Older Entries

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