- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
在我的同一台机器上,我首先运行
$ elasticsearch -f
[2014-02-06 10:27:59,066][INFO ][node ] [Gabe Jones] version[0.90.11], pid[1767], build[11da1ba/2014-02-03T15:27:39Z]
[2014-02-06 10:27:59,066][INFO ][node ] [Gabe Jones] initializing ...
[2014-02-06 10:27:59,085][INFO ][plugins ] [Gabe Jones] loaded [river-twitter], sites [head]
[2014-02-06 10:28:02,239][INFO ][node ] [Gabe Jones] initialized
[2014-02-06 10:28:02,240][INFO ][node ] [Gabe Jones] starting ...
[2014-02-06 10:28:02,387][INFO ][transport ] [Gabe Jones] bound_address {inet[/127.0.0.1:9300]}, publish_address {inet[/127.0.0.1:9300]}
[2014-02-06 10:28:05,427][INFO ][cluster.service ] [Gabe Jones] new_master [Gabe Jones][jJMZNLZNTeuV5d0EjM8mew][inet[/127.0.0.1:9300]], reason: zen-disco-join (elected_as_master)
[2014-02-06 10:28:05,457][INFO ][discovery ] [Gabe Jones] elasticsearch_harith/jJMZNLZNTeuV5d0EjM8mew
[2014-02-06 10:28:05,477][INFO ][http ] [Gabe Jones] bound_address {inet[/127.0.0.1:9200]}, publish_address {inet[/127.0.0.1:9200]}
[2014-02-06 10:28:05,478][INFO ][node ] [Gabe Jones] started
[2014-02-06 10:28:05,504][INFO ][gateway ] [Gabe Jones] recovered [0] indices into cluster_state
然后为了测试节点的自动发现是否发生,我在同一台机器,不同的终端上运行同样的东西,看看
$ elasticsearch -f
[2014-02-06 10:31:57,349][INFO ][node ] [Marlene Alraune] version[0.90.11], pid[1821], build[11da1ba/2014-02-03T15:27:39Z]
[2014-02-06 10:31:57,350][INFO ][node ] [Marlene Alraune] initializing ...
[2014-02-06 10:31:57,368][INFO ][plugins ] [Marlene Alraune] loaded [river-twitter], sites [head]
[2014-02-06 10:32:00,359][INFO ][node ] [Marlene Alraune] initialized
[2014-02-06 10:32:00,360][INFO ][node ] [Marlene Alraune] starting ...
[2014-02-06 10:32:00,533][INFO ][transport ] [Marlene Alraune] bound_address {inet[/127.0.0.1:9301]}, publish_address {inet[/127.0.0.1:9301]}
[2014-02-06 10:32:03,578][INFO ][cluster.service ] [Marlene Alraune] new_master [Marlene Alraune][wXvTaK_6TGKqGa56Z2XUxw][inet[/127.0.0.1:9301]], reason: zen-disco-join (elected_as_master)
[2014-02-06 10:32:03,613][INFO ][discovery ] [Marlene Alraune] elasticsearch_harith/wXvTaK_6TGKqGa56Z2XUxw
[2014-02-06 10:32:03,639][INFO ][http ] [Marlene Alraune] bound_address {inet[/127.0.0.1:9201]}, publish_address {inet[/127.0.0.1:9201]}
[2014-02-06 10:32:03,640][INFO ][node ] [Marlene Alraune] started
[2014-02-06 10:32:03,665][INFO ][gateway ] [Marlene Alraune] recovered [0] indices into cluster_state
更新
配置
##################### ElasticSearch Configuration Example #####################
# This file contains an overview of various configuration settings,
# targeted at operations staff. Application developers should
# consult the guide at <http://elasticsearch.org/guide>.
#
# The installation procedure is covered at
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup.html>.
#
# ElasticSearch comes with reasonable defaults for most settings,
# so you can try it out without bothering with configuration.
#
# Most of the time, these defaults are just fine for running a production
# cluster. If you're fine-tuning your cluster, or wondering about the
# effect of certain configuration option, please _do ask_ on the
# mailing list or IRC channel [http://elasticsearch.org/community].
# Any element in the configuration can be replaced with environment variables
# by placing them in ${...} notation. For example:
#
# node.rack: ${RACK_ENV_VAR}
# For information on supported formats and syntax for the config file, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/setup-configuration.html>
################################### Cluster ###################################
# Cluster name identifies your cluster for auto-discovery. If you're running
# multiple clusters on the same network, make sure you're using unique names.
#
cluster.name: elasticsearch_harith
#################################### Node #####################################
# Node names are generated dynamically on startup, so you're relieved
# from configuring them manually. You can tie this node to a specific name:
#
# node.name: "Franz Kafka"
# Every node can be configured to allow or deny being eligible as the master,
# and to allow or deny to store the data.
#
# Allow this node to be eligible as a master node (enabled by default):
#
# node.master: true
#
# Allow this node to store data (enabled by default):
#
# node.data: true
# You can exploit these settings to design advanced cluster topologies.
#
# 1. You want this node to never become a master node, only to hold data.
# This will be the "workhorse" of your cluster.
#
# node.master: false
# node.data: true
#
# 2. You want this node to only serve as a master: to not store any data and
# to have free resources. This will be the "coordinator" of your cluster.
#
# node.master: true
# node.data: false
#
# 3. You want this node to be 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/_cluster/nodes] or GUI tools
# such as <http://github.com/lukas-vlcek/bigdesk> and
# <http://mobz.github.com/elasticsearch-head> to inspect the cluster state.
# A node can have generic attributes associated with it, which can later be used
# for customized shard allocation filtering, or allocation awareness. An attribute
# is a simple key value pair, similar to node.key: value, here is an example:
#
# node.rack: rack314
# By default, multiple nodes are allowed to start from the same installation location
# to disable it, set the following:
# node.max_local_storage_nodes: 1
#################################### Index ####################################
# You can set a number of options (such as shard/replica options, mapping
# or analyzer definitions, translog settings, ...) for indices globally,
# in this file.
#
# Note, that it makes more sense to configure index settings specifically for
# a certain index, either when creating it or by using the index templates API.
#
# See <http://elasticsearch.org/guide/en/elasticsearch/reference/current/index-modules.html> and
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/indices-create-index.html>
# for more information.
# Set the number of shards (splits) of an index (5 by default):
#
# index.number_of_shards: 5
# Set the number of replicas (additional copies) of an index (1 by default):
#
# index.number_of_replicas: 1
# Note, that for development on a local machine, with small indices, it usually
# makes sense to "disable" the distributed features:
#
# index.number_of_shards: 1
# index.number_of_replicas: 0
# These settings directly affect the performance of index and search operations
# in your cluster. Assuming you have enough machines to hold shards and
# replicas, the rule of thumb is:
#
# 1. Having more *shards* enhances the _indexing_ performance and allows to
# _distribute_ a big index across machines.
# 2. Having more *replicas* enhances the _search_ performance and improves the
# cluster _availability_.
#
# The "number_of_shards" is a one-time setting for an index.
#
# The "number_of_replicas" can be increased or decreased anytime,
# by using the Index Update Settings API.
#
# ElasticSearch takes care about load balancing, relocating, gathering the
# results from nodes, etc. Experiment with different settings to fine-tune
# your setup.
# Use the Index Status API (<http://localhost:9200/A/_status>) to inspect
# the index status.
#################################### Paths ####################################
# Path to directory containing configuration (this file and logging.yml):
#
# path.conf: /path/to/conf
# Path to directory where to store index data allocated for this node.
#
path.data: /usr/local/var/elasticsearch/
#
# Can optionally include more than one location, causing data to be striped across
# the locations (a la RAID 0) on a file level, favouring locations with most free
# space on creation. For example:
#
# path.data: /path/to/data1,/path/to/data2
# Path to temporary files:
#
# path.work: /path/to/work
# Path to log files:
#
path.logs: /usr/local/var/log/elasticsearch/
# Path to where plugins are installed:
#
path.plugins: /usr/local/var/lib/elasticsearch/plugins
#################################### Plugin ###################################
# If a plugin listed here is not installed for current node, the node will not start.
#
# plugin.mandatory: mapper-attachments,lang-groovy
################################### Memory ####################################
# ElasticSearch performs poorly when JVM starts swapping: you should ensure that
# it _never_ swaps.
#
# Set this property to true to lock the memory:
#
# bootstrap.mlockall: true
# Make sure that the ES_MIN_MEM and ES_MAX_MEM environment variables are set
# to the same value, and that the machine has enough memory to allocate
# for ElasticSearch, leaving enough memory for the operating system itself.
#
# You should also make sure that the ElasticSearch process is allowed to lock
# the memory, eg. by using `ulimit -l unlimited`.
############################## Network And HTTP ###############################
# ElasticSearch, by default, binds itself to the 0.0.0.0 address, and listens
# on port [9200-9300] for HTTP traffic and on port [9300-9400] for node-to-node
# communication. (the range means that if the port is busy, it will automatically
# try the next port).
# Set the bind address specifically (IPv4 or IPv6):
#
# network.bind_host: 192.168.0.1
# Set the address other nodes will use to communicate with this node. If not
# set, it is automatically derived. It must point to an actual IP address.
#
# network.publish_host: 192.168.0.1
# Set both 'bind_host' and 'publish_host':
#
network.host: 127.0.0.1
# Set a custom port for the node to node communication (9300 by default):
#
# transport.tcp.port: 9300
# Enable compression for all communication between nodes (disabled by default):
#
# transport.tcp.compress: true
# Set a custom port to listen for HTTP traffic:
#
# http.port: 9200
# Set a custom allowed content length:
#
# http.max_content_length: 100mb
# Disable HTTP completely:
#
# http.enabled: false
################################### Gateway ###################################
# The gateway allows for persisting the cluster state between full cluster
# restarts. Every change to the state (such as adding an index) will be stored
# in the gateway, and when the cluster starts up for the first time,
# it will read its state from the gateway.
# There are several types of gateway implementations. For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-gateway.html>.
# The default gateway type is the "local" gateway (recommended):
#
# gateway.type: local
# Settings below control how and when to start the initial recovery process on
# a full cluster restart (to reuse as much local data as possible when using shared
# gateway).
# Allow recovery process after N nodes in a cluster are up:
#
# gateway.recover_after_nodes: 1
# Set the timeout to initiate the recovery process, once the N nodes
# from previous setting are up (accepts time value):
#
# gateway.recover_after_time: 5m
# Set how many nodes are expected in this cluster. Once these N nodes
# are up (and recover_after_nodes is met), begin recovery process immediately
# (without waiting for recover_after_time to expire):
#
#
# gateway.expected_nodes: 2
############################# Recovery Throttling #############################
# These settings allow to control the process of shards allocation between
# nodes during initial recovery, replica allocation, rebalancing,
# or when adding and removing nodes.
# Set the number of concurrent recoveries happening on a node:
#
# 1. During the initial recovery
#
# cluster.routing.allocation.node_initial_primaries_recoveries: 4
#
# 2. During adding/removing nodes, rebalancing, etc
#
# cluster.routing.allocation.node_concurrent_recoveries: 2
# Set to throttle throughput when recovering (eg. 100mb, by default 20mb):
#
# indices.recovery.max_bytes_per_sec: 20mb
# Set to limit the number of open concurrent streams when
# recovering a shard from a peer:
#
# indices.recovery.concurrent_streams: 5
################################## Discovery ##################################
# Discovery infrastructure ensures nodes can be found within a cluster
# and master node is elected. Multicast discovery is the default.
# Set to ensure a node sees N other master eligible nodes to be considered
# operational within the cluster. Its recommended to set it to a higher value
# than 1 when running more than 2 nodes in the cluster.
#
# discovery.zen.minimum_master_nodes: 1
# Set the time to wait for ping responses from other nodes when discovering.
# Set this option to a higher value on a slow or congested network
# to minimize discovery failures:
#
# discovery.zen.ping.timeout: 3s
# For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-zen.html>
# Unicast discovery allows to explicitly control which nodes will be used
# to discover the cluster. It can be used when multicast is not present,
# or to restrict the cluster communication-wise.
#
# 1. Disable multicast discovery (enabled by default):
#
# discovery.zen.ping.multicast.enabled: false
#
# 2. Configure an initial list of master nodes in the cluster
# to perform discovery when new nodes (master or data) are started:
#
# discovery.zen.ping.unicast.hosts: ["host1", "host2:port"]
# EC2 discovery allows to use AWS EC2 API in order to perform discovery.
#
# You have to install the cloud-aws plugin for enabling the EC2 discovery.
#
# For more information, see
# <http://elasticsearch.org/guide/en/elasticsearch/reference/current/modules-discovery-ec2.html>
#
# See <http://elasticsearch.org/tutorials/elasticsearch-on-ec2/>
# for a step-by-step tutorial.
################################## Slow Log ##################################
# Shard level query and fetch threshold logging.
#index.search.slowlog.threshold.query.warn: 10s
#index.search.slowlog.threshold.query.info: 5s
#index.search.slowlog.threshold.query.debug: 2s
#index.search.slowlog.threshold.query.trace: 500ms
#index.search.slowlog.threshold.fetch.warn: 1s
#index.search.slowlog.threshold.fetch.info: 800ms
#index.search.slowlog.threshold.fetch.debug: 500ms
#index.search.slowlog.threshold.fetch.trace: 200ms
#index.indexing.slowlog.threshold.index.warn: 10s
#index.indexing.slowlog.threshold.index.info: 5s
#index.indexing.slowlog.threshold.index.debug: 2s
#index.indexing.slowlog.threshold.index.trace: 500ms
################################## GC Logging ################################
#monitor.jvm.gc.young.warn: 1000ms
#monitor.jvm.gc.young.info: 700ms
#monitor.jvm.gc.young.debug: 400ms
#monitor.jvm.gc.old.warn: 10s
#monitor.jvm.gc.old.info: 5s
#monitor.jvm.gc.old.debug: 2s
最佳答案
您需要调整您的配置文件。以下是节点 A 和节点 B 的示例设置
一些基本规则:
cluster.name: mycluster
node.name: "nodeA"
node.master: true
node.data: true
discovery.zen.ping.multicast.enabled: false
discovery.zen.ping.unicast.hosts: ["nodeA.example.com"]
cluster.name: mycluster
node.name: "nodeB"
node.master: false
node.data: true
discovery.zen.ping.multicast.enabled: false
discovery.zen.ping.unicast.hosts: ["nodeA.example.com"]
关于macos - elasticsearch:自动节点发现没有发生,遗漏了什么?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/21611254/
在跨平台应用程序中,我正在使用一个配置文件,允许用户根据需要覆盖各种默认值。 我的问题是...在哪里放置/查找此配置文件,尤其是关于 MacOS X(我从未使用过且无法访问)?我知道 MacOS X
由于Xcode的代码签名和存档非常耗时,枯燥且有问题,因此我一直通过自己的脚本使用命令行工具xcodebuild,codesign等对我的开发人员ID签名的macOS应用进行代码签名,存档和交付。公证
我正在寻找一种在 MacOs 应用程序中以编程方式逐帧绘制动画的方法(不是关键帧属性动画)。我尝试使用drawLayer:inContext:委托(delegate)方法绘制到CALayers,调用s
就目前情况而言,这个问题不太适合我们的问答形式。我们希望答案得到事实、引用资料或专业知识的支持,但这个问题可能会引发辩论、争论、民意调查或扩展讨论。如果您觉得这个问题可以改进并可能重新开放,visit
我在83%的安装openCV中遇到问题...我的python是2.7.3。我已经适应了xcode。我使用了这个tuturial。 我的Cmake: cmake -D CMAKE_BUILD_TYPE=
我需要弄清楚 Mac 的日志键的键码(ctrl、shift 等)或者需要知道如何跟踪这个日志按键事件... 基本上我正在将 mac key 代码转换为等效的 Windows key 代码......我
关闭。这个问题不满足Stack Overflow guidelines .它目前不接受答案。 想改善这个问题吗?更新问题,使其成为 on-topic对于堆栈溢出。 2年前关闭。 Improve thi
我想将一个 Rust 程序从我的 x86 Mac 交叉编译成一个可以在 Silicon Mac 上运行的二进制文件,但我无法弄清楚链接。 我有: 运行 macOS 10.15.7 Catalina 的
在 macOS ventura 中,我无法复制我的终端应用程序。 我想这样做,因为我有一个 M1 处理器,我想要一个使用 Rosetta2 打开的处理器和一个本地打开的处理器。 有什么办法解决这个问题
当您可以访问实际硬件时,在 Mac 上以安全模式启动是很容易的。您只需在启动时按住 shift 键即可。 在虚拟机中运行 macOS (OSX) 时如何启动到安全模式? 最佳答案 Schmitty 在
这个问题在这里已经有了答案: How to get Conda and Virtualenv to work on mac OS Catalina? (8 个答案) 关闭 3 年前。 我在 macO
我有一个关于 macOS 应用程序图标的问题。我以前看过很多动画图标,但从来没有真正密切关注正在发生的事情/他们是如何做的。我只是想知道是否有任何方法可以创建在停靠栏中动画的动画应用程序图标。 例如:
每当我在 vim 中输入终端命令(例如,!echo hello)时,我会立即被踢出去查看该终端命令的结果,然后提示我使用 按 ENTER 或键入命令继续。这有点刺耳。我想留在 vim 中,并在底部打印
当使用文本编辑应用程序时,选择一种字体(例如“Menlo”)来呈现字形,当所选字体不包含特殊字形(例如“𠹷”,它是一个简单的中文字形,“Menlo"不包含它), 应用程序会选择一种字体来呈现它, 在
已经有几个关于如何在 Mac 上启用虚拟化的问题(例如 How to enable support of CPU virtualization on Macbook Pro?)。经常报告 sysctl
这只是出于好奇。 Exposé 有两个功能,其中一个是重新排列桌面上的窗口,一个是显示所有打开的窗口,这样用户可以看到隐藏在其他窗口下面的窗口,另一个功能是将所有窗口移到两侧,让用户与桌面交互。 我只
我使用的是 MacOS X,我对应用程序包类型的东西还很陌生。我正在编写一个程序来打开一个窗口并注册鼠标输入——而不是一个命令行工具。当我将我的代码(用 C 编写,如果这很重要)编译成一个可执行文件(
我正在制作一个必须支持 macOS 的 Flutter 插件。但是,当我想创建一个插件并在示例应用程序中运行该插件时(即使我还没有编辑过 Flutter 生成的代码),Xcode 会抛出以下错误。 无
关闭。这个问题不满足Stack Overflow guidelines .它目前不接受答案。 想改善这个问题吗?更新问题,使其成为 on-topic对于堆栈溢出。 7年前关闭。 Improve thi
我想在终端(MacOs)中像屏幕一样显示当前目录面包屑: 我该怎么做? 现在它只是一个文本...... 谢谢 最佳答案 首选项 -> 窗口 -> 检查工作目录或文档下的“路径”。 路径将作为窗口标题的
我是一名优秀的程序员,十分优秀!