radeon 9200

AMD releases open-source driver support for the radeon series video UVD video decoding unit. Because the open-source drive support of UVD hardware decoding units may involve digital rights management (DRM) in other systems, the progress has been so slow that most people think it is impossible. During this period, amd released an xvba interface that allows access to UVD hardware decoding units using a catalyst closed-source driver. However, this xvba i

How to buy the most cost-effective products within budget? Aside from the need to consider performance, noise, drive and software experience, the sudden launch of new products by Nvidia and AMD makes recommendations more difficult. Best Getting Started video card: AMD Radeon RX 460 If you want to find an entry-level game card, the AMD Radeon RX 460 (110 USD, about 730 RMB) is a good choice. A

+ or faster memory-1GB of memory video card-GeForce 5 and ATI 9800 w/128 MB v memory Windows XP, Wi N2k or Windows Vista Recommended configuration: Processor-2.0GHz Core 2 duo/amd 3500+ or faster memory-1.5GB or higher video card-256MB Geforce 7800+ or Radeon x1900+ Linux Minimum configuration: Processor-2.2GHz Pentium 4/AMD 2400+ or faster memory-1GB of memory video card-128MB fully OpenGL 2.0/GLSL 1.20 compliant E or

Environment Support (JAVA) yum -y install java-1.8*java --version2. Download and decompress logstash Logstash-5.0.1.tar.gztar-zxvf logstash-5.0.1.tar.gzcd logstash-5.0.1mkdir conf # create conf folder to store configuration file cd conf3. Configuration File Configure the test file (combined with the elasticsearch cluster created earlier) [root@logstash1 conf]# cat test.conf input { stdin { } } output { elasticsearch { hosts =>["172.16.81.133:

elasticsearch create a separate user to run Elasticsearch.F.3 Create Elasticsearch user group and Elasticsearch user, the command is as follows:Groupadd ElasticsearchUseradd elasticsearch (user name)-G Elasticsearch (group name)-p elasticsearch (password)F.4 Change the Elasticsearch folder and the owning user of the internal file and the group as Elasticsearch, after the modification is complete:Chown-r Elasticsearch:elasticsearch Elasticsearch　　　　　　F.5 switch to the Elasticsearch user, execute

1. IntroductionElk is a real-time log analysis platform that provides real-time log analysis for development and operations personnel, facilitating better understanding of system status and code issues. 2, elk in the E (elasticsearch):(2.1) Install the dependency package first, the official document describes the use of java1.8Yum-y Install JAVA-1.8.0-OPENJDKInstall Elasticsearch:Tar zvxf elasticsearch-1.7.0.tar.gzMV Elasticsearch-1.7.0/usr/local/elasticsearchVim/usr/local/elasticsearch/configCP

filebeat /Etc/filebeat. yml Filebeat configuration: Filebeat: Prospectors: - Paths: -"/Var/log/*. log" Fields: Type: syslog Output: Elasticsearch: Enabled: true Hosts: ["http: // localhost: 5043"] Start filebeat [Root @ backup01 filebeat] # curl-XPUT 'http: // 192.168.0.58: 9200/_ template/filebeat? Pretty '-d @/etc/filebeat. template. json { "Acknowledged": true } Topbeat Https://www.elastic.co/guide/en/beats/topbeat/current/topbeat-gettin

same network segment), which makes up the cluster. Modify Elasticsearch.yml, find Node.name, remove the previous #, modify it to node.name:node1 (take it yourself), but the name of each node must be different. Copy the elasticsearch-1.4.4.noarch.rpm to a different node and perform the 1~4 step. Other configuration, you can go into the Elasticsearch-1.4.4/bin directory to modify the elasticsearch.in.sh (mainly the JVM parameters), ELASTICSEARCH.YML also have many other parameters (cl

decompression and installation. ElasticsearchDecompress: [[emailprotected] software]$ tar -zxvf elasticsearch-2.1.1.zip -C ../app/ Install the head plug-in: [[emailprotected] app]$ cd elasticsearch/[[emailprotected] elasticsearch]$ ./bin/plugin install mobz/elasticsearch-head Check whether the installation is successful: [[Email protected] elasticsearch] $ CD plugins/[[email protected] plugins] $ lshead [[email protected] plugins] $ # No problem if you see the head Next, let's start simple conf

: 9200discovery.zen.ping.unicast.hosts: ["10.0.0.101:9300"]discovery.zen.minimum_master_nodes: 1[[emailprotected] config]# 3.3 modify the configuration file/etc/security/limits. conf and/etc/sysctl. conf as follows: # echo -e "* soft nofile 65536\n* hard nofile 131072\n* soft nproc 2048\n* hard nproc 4096\n" >>/etc/security/limits.conf# echo "vm.max_map_count=655360" >>/etc/sysctl.conf# sysctl -p 3.4 create data and log directories and grant them to Elk users: # mkdir /opt/elk/{es_data,es_logs}

write and view of mappingFirst create an index:-XPOST "http://127.0.0.1:9200/productindex"{"acknowledged":true} Now only one index is created, and the mapping is not set to look at the contents of the index mapping:-XGET "http://127.0.0.1:9200/productindex/_mapping?pretty" { "productindex" : { "mappings" : { } }}You can see that mapping is empty, we have created only one index, and no mapping configur

configuration file:vim /usr/local/elasticsearch/config/elasticsearch.yml#这里指定的是集群名称，需要修改为对应的，开启了自发现功能后，ES会按照此集群名称进行集群发现cluster.name: my-applicationnode.name: node-1#目录需要手动创建path.data: /opt/elk/datapath.logs: /opt/elk/logs#ES监听地址任意IP都可访问network.host: 0.0.0.0http.port: 9200#若是集群，可在里面引号中添加，逗号隔开discovery.zen.ping.unicast.hosts: [“192.168.3.205”]# enable cors，保证_site类的插件可以访问es http.cors.enabled: true #手动添加http.cors.allow-origin: “*”

recently, Blizzard Entertainment Company's newly listed game "watch Pioneer" by many players love, did not start to play the player also began to understand their own home computer can play, so many new players began to ask "watch pioneer Computer Configuration to how to play", "watch pioneer Computer Configuration requirements High" and so on, The following is the official given the watch pioneer Computer Configuration requirements, please control the home computer to meet the needs of the.

noise will become larger. As with most GeForce GTX 600 graphics, this 3GB onboard clock is set to 1502MHz, but it has a 384-bit bus similar to GTX Titan, rather than the 256-bit memory bus used on GeForce GTX 680 and GTX 670, so , GTX 780 has a higher bandwidth. Dimensions, noise and heat dissipation: GeForce GTX 780 (26.7 cm) is smaller than GTX Titan (27.7 cm), but it inherits Titan's excellent cooling system and high quality polishing design. When idling, the thermal control s

Brief introduction:Elk consists of three open source tools, Elasticsearch, Logstash and Kiabana:Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interface, multi-data source, automatic search load, etc.Logstash is a fully open source tool that collects, filters, and stores your logs for later use (for example, search).Kibana is also an open source and free tool that Kib

"coordinator" of your cluster.##node. master:true#node. Data:false## 3. You want this node to being neither master nor data node, but# to act as a ' search load balancer ' (fetching data from nodes,# aggregating results, etc.)##node. Master:false#node. Data:false# Use the Cluster health API [Http://localhost:9200/_cluster/health], the# Node Info API [http://localhost:9200/_nodes] or GUI tools# such as # #

Cluster.name:data-cluster node.name: "data-es-05" #node. Data:false # indexing Cache config index.number_of_ Shards:5 index.number_of_replicas:1 Index.cache.field.type:soft index.cache.field.expire:10m Index.cache.query.ena Ble:true indices.cache.query.size:2% indices.fielddata.cache.size:35% indices.fielddata.cache.expire:10m Index.sea Rch.slowlog.level:INFO #indices. RECOVERY.MAX_SIZE_PER_SEC:1GB Index.merge.scheduler.max_thread_count:2 # only for Spinning media. # Refresh config index.r

After elk ran up, my heart almost collapsed, 16G memory 16 core CPU also often error.First, Logstash and Elasticsearch simultaneously errorLogstash a large number of error, it may be es occupy too much heap, not optimized ES caused byRetrying failed action with response code:503 {: Level=>:warn}Too many attempts at sending event. dropping:2016-06-16t05:44:54.464z%{host}%{message} {: Level=>:error}Elasticsearch a large number of errors occurredToo many open filesThe value is too small. "Max_file_

= ["192.168.10.196:9200"]index = "logstash-nginx-access-%{+yyyy. MM.DD} "#codec = "JSON"Template_overwrite = True}}if [type] = = "Nginx-error" {Elasticsearch {hosts = ["192.168.10.196:9200"]index = "logstash-nginx-error-%{+yyyy. MM.DD} "codec = "JSON"Template_overwrite = True}}}Logstash-java-02.confInput {Redis {Host = "192.168.10.196"Port = 6379Password = "123.com"db = "1"data_type = "List"Key = "Java-acc

/etc/fstabYou can also add configurations to the configuration file so that the bootstrap.mlockall: true JVM can lock the memory and avoid being swapped to physical storage media.File descriptorI don't know that, either, or a file handle? Anyway is file descriptor, this is mainly because lucene to open a lot of files, Elasticsearch to start a lot of sockets, in Linux system these are processed by files, Linux will limit the number of files opened per process, you can sysctl -w vm.max_map_count=2