Odd shard distribution in Elasticsearch 1.4.2 #9023
Comments
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Hi @vichargrave What other settings do you have? |
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Hi Clinton. I've enclosed the 3 config files I'm using. Note that I observed the cluster.routing.allocation.balance.shard: 1.0f However, the problem persists after applying these settings. On Mon, Dec 22, 2014 at 5:10 AM, Clinton Gormley notifications@github.com
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Hi @vichargrave I assume that you attached them to a reply email? They don't show up on github. While you're about it, please can you also provide: thanks |
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Sorry about that. OK here are the contents of my 3 configuration files and the results of the commands you requested: ==== /etc/elasticsearch/elasticsearch.yml
######################### Elasticsearch Configuration #########################
# This file contains an overview of various configuration settings,
# targeted at operations staff. Application developers should
# consult the guide at .
#
# The installation procedure is covered at
# .
#
# 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
#
################################### 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: twitter_filter
#################################### 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: "r5-9-37"
# 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 and
# 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 and
#
# 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 () 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: /data/0,/data/1
#
# 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: /path/to/logs
# Path to where plugins are installed:
#
# path.plugins: /path/to/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: 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
# .
# 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: 3
# 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: 15s
# For more information, see
#
# 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:
#
# Note these are not the real IP addresses just placeholders
discovery.zen.ping.unicast.hosts: ["10.0.0.1","10.0.0.2","10.0.0.3","10.0.0.4"]
# 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
#
#
# See
# 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.ParNew.warn: 1000ms
#monitor.jvm.gc.ParNew.info: 700ms
#monitor.jvm.gc.ParNew.debug: 400ms
#monitor.jvm.gc.ConcurrentMarkSweep.warn: 10s
#monitor.jvm.gc.ConcurrentMarkSweep.info: 5s
#monitor.jvm.gc.ConcurrentMarkSweep.debug: 2s
############################ Lhotsky optimizations ##########################
## Threadpool Settings ##
# Search pool
threadpool.search.type: fixed
threadpool.search.size: 20
threadpool.search.queue_size: 100
# Bulk pool
threadpool.bulk.type: fixed
threadpool.bulk.size: 60
threadpool.bulk.queue_size: 300
# Index pool
threadpool.index.type: fixed
threadpool.index.size: 20
threadpool.index.queue_size: 100
## Index Settings ##
# Indices settings
indices.memory.min_shard_index_buffer_size: 12mb
indices.memory.min_index_buffer_size: 96mb
# Cache Sizes
indices.fielddata.cache.size: 15%
indices.cache.filter.size: 15%
# Indexing Settings for Writes
index.refresh_interval: 30s
index.translog.flush_threshold_ops: 50000
############################ Other optimizations ##########################
## See: http://www.elasticsearch.org/blog/performance-considerations-elasticsearch-indexing/
# Thread settings
index.merge.scheduler.max_thread_count: 1
# Indices settings
indices.memory.index_buffer_size: 15%
# Indexing Settings for Writes
index.translog.flush_threshold_size: 1gb
## See: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/cluster-update-settings.html
# Cluster balancing #
cluster.routing.allocation.balance.shard: 1.0f
cluster.routing.allocation.balance.primary: 0.50f
==== /etc/sysconfig/elasticsearch
# Directory where the Elasticsearch binary distribution resides
ES_HOME=/usr/share/elasticsearch
# Heap Size (defaults to 256m min, 1g max)
ES_HEAP_SIZE=16g
# Heap new generation
#ES_HEAP_NEWSIZE=
# max direct memory
#ES_DIRECT_SIZE=
# Additional Java OPTS
#ES_JAVA_OPTS=
# Maximum number of open files
MAX_OPEN_FILES=131072
# Maximum amount of locked memory
#MAX_LOCKED_MEMORY=
# Maximum number of VMA (Virtual Memory Areas) a process can own
MAX_MAP_COUNT=262144
# Elasticsearch log directory
LOG_DIR=/var/log/elasticsearch
# Elasticsearch data directory
DATA_DIR=/var/lib/elasticsearch
# Elasticsearch work directory
WORK_DIR=/tmp/elasticsearch
# Elasticsearch conf directory
CONF_DIR=/etc/elasticsearch
# Elasticsearch configuration file (elasticsearch.yml)
CONF_FILE=/etc/elasticsearch/elasticsearch.yml
# User to run as, change this to a specific elasticsearch user if possible
# Also make sure, this user can write into the log directories in case you change them
# This setting only works for the init script, but has to be configured separately for systemd startup
ES_USER=elasticsearch
# Configure restart on package upgrade (true, every other setting will lead to not restarting)
#RESTART_ON_UPGRADE=true
==== /etc/security/limits.conf
# /etc/security/limits.conf
#
#Each line describes a limit for a user in the form:
#
#
#
#Where:
# can be:
# - an user name
# - a group name, with @group syntax
# - the wildcard *, for default entry
# - the wildcard %, can be also used with %group syntax,
# for maxlogin limit
#
# can have the two values:
# - "soft" for enforcing the soft limits
# - "hard" for enforcing hard limits
#
# can be one of the following:
# - core - limits the core file size (KB)
# - data - max data size (KB)
# - fsize - maximum filesize (KB)
# - memlock - max locked-in-memory address space (KB)
# - nofile - max number of open files
# - rss - max resident set size (KB)
# - stack - max stack size (KB)
# - cpu - max CPU time (MIN)
# - nproc - max number of processes
# - as - address space limit (KB)
# - maxlogins - max number of logins for this user
# - maxsyslogins - max number of logins on the system
# - priority - the priority to run user process with
# - locks - max number of file locks the user can hold
# - sigpending - max number of pending signals
# - msgqueue - max memory used by POSIX message queues (bytes)
# - nice - max nice priority allowed to raise to values: [-20, 19]
# - rtprio - max realtime priority
#
#
#
#* soft core 0
#* hard rss 10000
#@student hard nproc 20
#@faculty soft nproc 20
#@faculty hard nproc 50
#ftp hard nproc 0
#@student - maxlogins 4
# Ensure ElasticSearch can open files and lock memory!
elasticsearch soft nofile 131072
elasticsearch hard nofile 131072
elasticsearch - memlock unlimited
==== curl localhost:9200/_cluster/settings
{
"persistent" : {
"cluster" : {
"routing" : {
"allocation" : {
"enable" : "all",
"balance" : {
"primary" : "0.50f",
"shard" : "1.0f"
}
}
}
}
},
"transient" : {
"cluster" : {
"routing" : {
"allocation" : {
"enable" : "all"
}
}
}
}
}
==== curl localhost:9200/_settings
{
"tweets-2014-12-13:20" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "UYsabdN4T865kErAdx1AJg",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-13:01" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "XmbQJ9acTvade6S_8qUwDA",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-05:20" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "xP38TU1_SiGKxs86uUaiqw",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-08:03" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "JJcHeHVfSL-JIRC7cstKnQ",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-01:20" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "qyZiPYIFRbiu3CffO-0uzA",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-05:12" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "bIwh5NEPToGFIMPFR1Vnug",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-12:01" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "x0-PqYayRButRuoY28t_8Q",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-10:22" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "IbPsjCm2SSeZ4c4GvuZ9Pg",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-15:09" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "Hbw7FrzITKCzqYj6Nvq-9g",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-16:07" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "-gHV9htqStOQSi4Sz8LvtA",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-18:13" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "L0NCAj_nQAWyHtVBJIqCbw",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-02:22" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "IKay9tNNTGuSa_6N4Bqu_g",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-15:21" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "qp0MvPMKTrikwSjJJA--uQ",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-04:12" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "njWl7thuRlC4lyME-hES2A",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-02:12" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "jrLaWTD1S7OJ7Y2MWNtNjA",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-16:23" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "9Xabn995RVqfiiAItxBR1Q",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-11:22" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "PdR6LW1DSg2lOypj_q05_Q",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-07:11" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "t4lYWrKRRI6NsRiIyAkmag",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-13:00" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "znjWieCZQpCqFH-B5EWsdQ",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-02:15" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "2uuhVBKnQI6fep2fPIlM9Q",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-01:08" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "MYhfJiCAQGmQD8UY9_EvQA",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-04:14" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "srpRd9DkRJq7ountfue2bw",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-07:02" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "1xDyyYbJQUWbLCFyOiSeaQ",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-01:13" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "p1Z543ULRfySf2xHBiuqRg",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-01:00" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "PCt35UWXRhuWYej-wR80HQ",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-06:02" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
"number_of_shards" : "5",
"uuid" : "htTlSifaSkCr2-5deD_m3A",
"version" : {
"created" : "1030299"
}
}
}
},
"tweets-2014-12-12:20" : {
"settings" : {
"index" : {
"number_of_replicas" : "1",
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Hi @vichargrave OK, so we're not talking about a single index here. It's one index in the midst of many others, all of which have to be taken into account. Primaries and replicas are essentially identical, they do the same work (with the exception of updates, see #8369), so it doesn't matter if all the primaries are on a single node or not. The first thing I'd say is: change the allocation settings back to their defaults and don't touch them unless you are seeing an actual problem. Then, if you ARE seeing a problem, choose one setting only and adjust it by small amounts (eg 0.05) until you see something happen, ie when it crosses the threshold. The risk that you run with changes these allocations settings is that you end up shuffling shards around your cluster for no good reason, causing a lot of extra I/O. Btw, looking at your settings, I'd recommend deleting this: It is better handled by the Also, your threadpool settings are crazy, unless you actually have 60 processors that you can devote to bulk indexing. The default is one bulk thread per processor. More than that and you're just causing a lot of context switching. |
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OK thanks for suggestions. I can see what you are saying with regard to On Tue, Dec 23, 2014 at 4:38 AM, Clinton Gormley notifications@github.com
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@vichargrave Actually, in 1.4 there were a number of commits around the disk allocation decider, which includes automatically rerouting shards when your disks start to fill up. See #8206, #8659, #8382, #8270, #8803 So (in theory at least) this should be better in 1.4.2 than before. Disk space is just one of the many factors taken into account. Presumably it wasn't the most important factor at the time you created the index, which is why you ended up with the current layout. We prefer not to move shards unless really necessary otherwise we generate masses of I/O for no good purpose. Unfortunately, understanding the decisions made by the allocator is really quite hard. While you can turn on debug logging, it produces way too much info to be useful in production (which reflects the complexity of the decision making process). |
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It sounds like this ticket can be closed? |
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It appears that these settings get primaries and replicas distributed across all 4 nodes: cluster.routing.allocation.balance.shard: 1.0f Still I think the default shard distribution behavior for 1.4.2 is weird and that I have to make these adjustments even weirder. Yes we can close this issue, but it will be raised by other users. Thanks again for your help. It is always appreciated. |
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Since this issue hasn't been closed yet, I'll continue. I have changed the shard distribution settings to this: cluster.routing.allocation.balance.shard: 1.5f And yet the shard distribution still looks like the following (note - the bright green squares are primary shards and the dim green squares are replica shards):
Notice all the primary shards on the second node and no shards of any kind on the first node even though I have increased these settings. Now I have a 4 node Elasticsearch 1.4.2 cluster where 25% of the disk space is unavailable to store data. This situation has to be a bug of some sort OR I have to increase the balancing settings to values much larger than I have tried so far. |
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I think this should be logged as a bug. This is not a desirable behavior and it tempts me to roll back to 1.3.2. |
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why are you setting |
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I'm trying to get the shards evenly distributed between the nodes in my cluster as they were in version 1.3.2. I tried a rolling upgrade from 1.3.2 to 1.4.2, which is when this issues appeared. Now, as I stated before I have a node with no data on it do 25% of my cluster's disk capacity is unused. That can't be right if that is what Elasticsearch is doing, so yes it is a bug as far s I'm concerned. Please review the previous posts which tell the entire story. |
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I did read the post and the story, there are still some things I don't understand. Bare with me and help me to understand:
I'd start with restoring defaults for these values: and calling |
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FYI I just fixed the wrong default in my last comment from: |
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No I have hundreds of indices. Look at the previous settings out put I I'll set the fields you indicate back to their defaults. I'm not sure what On Fri, Jan 2, 2015 at 1:09 PM, Simon Willnauer notifications@github.com
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ok so if you have that many indices I can totally see how this can happen with the settings. Did you have any of these settings changed before this issue happened?
I am referring to we do a rebalance run so you changes should kick in after that call. The pure update call won't trigger a reroute. |
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No I did not change any of the default settings. That came later when I Many thanks. On Fri, Jan 2, 2015 at 1:42 PM, Simon Willnauer notifications@github.com
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I am curious, would it be possible to get an output of the CAT API for shards: |
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So I need to do this on each node, correct? On Fri, Jan 2, 2015 at 2:12 PM, Simon Willnauer notifications@github.com
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no, any node will do. |
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This a really long file. Can I send it to you directly via email? |
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sure |
In some situations the shard balanceing weight delta becomes negative. Yet, a negative delta is always treated as `well balanced` which is wrong. I wasn't able to reproduce the issue in any way other than useing the real world data from issue #9023. This commit adds a fix for absolute deltas as well as a base test class that allows to build tests or simulations from the cat API output. Closes #9023
In some situations the shard balanceing weight delta becomes negative. Yet, a negative delta is always treated as `well balanced` which is wrong. I wasn't able to reproduce the issue in any way other than useing the real world data from issue #9023. This commit adds a fix for absolute deltas as well as a base test class that allows to build tests or simulations from the cat API output. Closes #9023
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@vichargrave I pushed the fix to 1.4 and 1.3 as well. Do you have a chance to test this? Note, if you are are upgrading to a snapshot build you might not be able to revert back to 1.4.2! Please consider this, I don't know what purpose your cluster has or if you are running in production. I can totally understand if you say if you wanna simualte it I have a tests checked in :) |
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OK , so by I might not be able to revert back to 1.4.2, what does that On Tue, Jan 6, 2015 at 1:40 PM, Simon Willnauer notifications@github.com
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oh ok so for |
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I checked out the code from github, but I don't see a 1.4.3-SNAPSHOT. On Wed, Jan 7, 2015 at 1:31 PM, Simon Willnauer notifications@github.com
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OK I decided to go ahead an build the 1.4.3-SNAPSHOT. So I just
In step 2, shouldn't the "transient" be changed to "persistent" because Please advise. On Thu, Jan 8, 2015 at 10:58 AM, Vic Hargrave vichargrave@gmail.com wrote:
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sorry for the long delay I would not replace the jar file. I'd download a real package from
since you are doing a rolling restart (cluster is always up) you can use transient. Note: you will see balancing going on once the master is upgraded and your cluster has allocated all shards that where there before ie. all indices are active. |
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any updates on this? @vichargrave |
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Not quite yet. I'll be pulling the trigger in a couple of days. On Thu, Jan 29, 2015 at 9:41 AM, Simon Willnauer notifications@github.com
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Hi Simon. Something weird happened. I have not yet tried the ES 1.4.3 snapshot you So I'm not sure what to do now. I'm disinclined to apply the patched build Let me know your thoughts when you get a chance. -- vic On Thu, Jan 29, 2015 at 9:41 AM, Simon Willnauer notifications@github.com
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OK it looks like 1.4.2 is still not putting shards one of my 4 nodes. -- vic On Fri, Jan 30, 2015 at 6:53 PM, Vic Hargrave vichargrave@gmail.com wrote:
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Hello, It appears that after a node restart/recovery most of the primary shards are located on the same node and the other node has most of the replicas respectively. Therefore, when creating a new index with 0 replicas, it puts all shards (which are obviously primary) on the same node, the one with more replicas, causing the cluster not to use the other node for the loading process. Tried fixing it by setting the below setting but that didn't work:
Since cluster.routing.allocation.balance.primary was deprecated since 1.3.8, I can't think of anyway to rebalance the primary shards. Any thought? |
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Just wanted to follow p to let you kmow that I upgraded to 1.4.3. After On Mon, Feb 2, 2015 at 9:50 PM, Vic Hargrave vichargrave@gmail.com wrote:
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Should this be fixed in 1.4.3? I assume so from the issue tag, but we're on the 1.4.3 release and also experiencing this. I've added the following config to our yaml to ensure we're correct on the nodes. Then hit this endpoint Does this need to be run on the master node or will any node suffice? I have 87 indexes in our cluster, each one has 6 shards, and 1 replica. We have 6 nodes in our cluster. When I perform the rebalance, I'm still getting some nodes that have 4 primary shards. This is causing very uneven load, and some of our applications are suffering significant performance degradation as a result. Note that we applied the setting and restarted after disabling allocation, then re-enabling. |
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Hi Todd. I reported this as a bug to Elasticsearch when I first upgraded to 1.4.2 Good news is, when you upgrade to 1.4.3 it will automatically reroute your -- vic On Tue, Feb 17, 2015 at 5:03 PM, Todd Nine notifications@github.com wrote:
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Hey @vichargrave Thanks for the response. I'm able to rebalance shards manually via move, but running the rebalance command has no effect. I have 12 shards as a test in a 6 node environment. With everything balanced evenly, I would expect 2 primaries per node. Instead, I have 4 primaries in 1 node, and 3 in 2 others, causing some strange load profiles. Is there another setting that could possibly be blocking shard-reallocation? I receive no errors in the logs, and the HTTP call returns successfully. @s1monw Is there something I can look at to gather more information? |
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You won't necessarily get 2 primaries per node. You'll get a mixture of On Tue, Feb 17, 2015 at 5:59 PM, Todd Nine notifications@github.com wrote:
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Thanks @vichargrave. It appears we don't have the same issue, I'll move this to the mailing list. |
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@tnine this is a common misunderstanding that the primaries are balanced across the cluster. The primary has to do the same amount of work as any other shard but it's the first one doing it. Balancing based on this is not necessary. we used it as a tie-breaker but removed the primary factor due to this misunderstanding. Are you using upsert / update api by any chance? |
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I found that the node that is the primary for all shards for my index is using more CPU, has slower search response times and uses more memory. I would benefit from having primaries balanced. |
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@s1monw Correct, however, what happens when there are 0 replicas? This case, the primary shard is the only shard doing work. If there are no replicas, I would expect the primary shards to be evenly distributed across the cluster per index. Otherwise, nodes with more than 1 primary shard are going to receive increased traffic when there are no replicas to replicate data to. We're seeing this in production now. |
In some situations the shard balanceing weight delta becomes negative. Yet, a negative delta is always treated as `well balanced` which is wrong. I wasn't able to reproduce the issue in any way other than useing the real world data from issue elastic#9023. This commit adds a fix for absolute deltas as well as a base test class that allows to build tests or simulations from the cat API output. Closes elastic#9023
In some situations the shard balanceing weight delta becomes negative. Yet, a negative delta is always treated as `well balanced` which is wrong. I wasn't able to reproduce the issue in any way other than useing the real world data from issue elastic#9023. This commit adds a fix for absolute deltas as well as a base test class that allows to build tests or simulations from the cat API output. Closes elastic#9023
PhaedrusTheGreek
assigned PhaedrusTheGreek and s1monw and unassigned s1monw and PhaedrusTheGreek
I'm using a 4 node Elasticsearch cluster to ingest tweets from one of the public Twitter streams. After upgrading my from 1.3.2 to 1.4.2 I'm noticing an odd behavior with respect to how shards are distributed across the nodes. Whereas with 1.3.2 the 5 primary shards and 1 replica set of shards were evenly distributed across all 4 nodes, now I'm seeing this behavior:
I'm using default values for these settings:
cluster.routing.allocation.balance.shard
cluster.routing.allocation.balance.index
cluster.routing.allocation.balance.primary
cluster.routing.allocation.balance.threshold
However I've set cluster.routing.allocation.balance.shard to 0.6f and cluster.routing.allocation.balance.primary to 0.06f in the hope that these settings will coerce Elasticsearch to distribute the shards more evenly.
Is this issue a bug?
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