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remove unnecessary config

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medcl 2011-12-21 12:06:37 +08:00
parent a5d1cf7aa7
commit b0163f1def
1 changed files with 1 additions and 419 deletions
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config/elasticsearch.yml
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# Cluster Settings
cluster:
name: elasticsearch_medcl
thrift:
port: 9500
protocol: 'binary'
frame: '10mb'
# Path Settings
#path:
# conf: /path/to/conf
# data: /path/to/data
# work: /path/to/work
# logs: /path/to/logs
# Gateway Settings
#gateway:
# recover_after_nodes: 1
# recover_after_time: 5m
# expected_nodes: 2
# Force all memory to be locked, forcing JVM to never swap
# (make sure to set MIN and MAX mem to the same value)
#bootstrap:
# mlockall: true
# Unicast Discovery (disable multicast)
#discovery:
# zen:
# ping.multicast.enabled: false
# ping.unicast.hosts: ["host1", "host2"]
index:
analysis:
analyzer:
ik:
alias: [news_analyzer_ik,ik_analyzer]
type: org.elasticsearch.index.analysis.IkAnalyzerProvider
mmseg:
alias: [news_analyzer, mmseg_analyzer]
type: org.elasticsearch.index.analysis.MMsegAnalyzerProvider
my_analyzer:
alias: [my_analyzer1]
type: custom
filter: [standard, lowercase, stop, word_delimiter]
tokenizer: standard
my_analyzer2:
alias: [my_analyzer3]
type: custom
filter: [lowercase, stop, word_delimiter]
tokenizer: whitespace
my_analyzer4:
type: custom
filter: [standard, lowercase, stop, word_delimiter]
tokenizer: myTokenizer1
filter: [myTokenFilter1, myTokenFilter2]
char_filter: [my_html]
default:
type: custom
filter: [lowercase]
tokenizer: keyword
tokenizer:
myTokenizer1:
type: whitespace
max_token_length: 900
filter:
myTokenFilter1:
type: stop
#stopwords: [xxx, stop2, stop3, stop4]
myTokenFilter2:
type: length
min: 0
max: 2000
char_filter:
my_html:
type: html_strip
#escaped_tags: [xxx, yyy] #if not explicit set will remove all tags
read_ahead: 1024
#index.analysis.analyzer.default.type : "ik"
=======
##################### 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/reference/setup/installation.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}
# See <http://elasticsearch.org/guide/reference/setup/configuration.html>
# for information on supported formats and syntax for the configuration file.
################################### 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
#################################### 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
#################################### 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/reference/index-modules/> and
# <http://elasticsearch.org/guide/reference/api/admin-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: /path/to/data
#
# Can optionally include more than one location, causing data to be striped across
# the locations (à 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: /path/to/logs
# Path to where plugins are installed:
#
# path.plugins: /path/to/plugins
################################### 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: 192.168.0.1
# 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/reference/modules/gateway>.
# 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).
# 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, begin recovery process immediately:
#
# 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 unlimited):
#
# indices.recovery.max_size_per_sec: 0
# 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. Set this option to a higher value (2-4)
# for large clusters:
#
# 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
# See <http://elasticsearch.org/guide/reference/modules/discovery/zen.html>
# for more information.
# 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", "host3[portX-portY]"]
# 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.
#
# See <http://elasticsearch.org/guide/reference/modules/discovery/ec2.html>
# for more information.
#
# See <http://elasticsearch.org/tutorials/2011/08/22/elasticsearch-on-ec2.html>
# for a step-by-step tutorial.
################################## Slow Log ##################################
# Shard level query and fetch threshold logging.
#index.search.slowlog.level: TRACE
#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
>>>>>>> 1a26ba796803bd57a312f7dcf49e965dea4b746d
index.analysis.analyzer.default.type : "ik"