- Cluster-wide settings
- Non-runtime cluster-wide settings
- Collecting stats
- Shard limits
- Usage data collector
- Graceful stop
- Bulk operations
- Discovery
- Routing allocation
- Recovery
- Memory management
- Query circuit breaker
- Field data circuit breaker
- Request circuit breaker
- Accounting circuit breaker
- Stats circuit breakers
- Total circuit breaker
- Thread pools
- Metadata
Cluster-wide settings
All current applied cluster settings can be read by querying the sys.cluster.settings column. Most cluster settings can be changed at runtime. This is documented at each setting.
Table of contents
Non-runtime cluster-wide settings
Cluster wide settings which cannot be changed at runtime need to be specified in the configuration of each node in the cluster.
Caution
Cluster settings specified via node configurations are required to be exactly the same on every node in the cluster for proper operation of the cluster.
Collecting stats
stats.enabled
Default: true
Runtime: yes
A boolean indicating whether or not to collect statistical information about the cluster.
Caution
The collection of statistical information incurs a slight performance penalty, as details about every job and operation across the cluster will cause data to be inserted into the corresponding system tables.
stats.jobs_log_size
Default: 10000
Runtime: yes
The maximum number of job records kept to be kept in the sys.jobs_log table on each node.
A job record corresponds to a single SQL statement to be executed on the cluster. These records are used for performance analytics. A larger job log produces more comprehensive stats, but uses more RAM.
Older job records are deleted as newer records are added, once the limit is reached.
Setting this value to 0
disables collecting job information.
stats.jobs_log_expiration
Default: 0s
(disabled)
Runtime: yes
The job record expiry time in seconds.
Job records in the sys.jobs_log table are periodically cleared if they are older than the expiry time. This setting overrides stats.jobs_log_size.
If the value is set to 0
, time based log entry eviction is disabled.
Note
If both the stats.operations_log_size and stats.operations_log_expiration settings are disabled, jobs will not be recorded.
stats.jobs_log_filter
Default: true
(Include everything)
Runtime: yes
An :ref:expression <gloss-expression>` to determine if a job should be recorded into sys.jobs_log
. The expression must evaluate to a boolean. If it evaluates to true
the statement will show up in sys.jobs_log
until it’s evicted due to one of the other rules. (expiration or size limit reached).
The expression may reference all columns contained in sys.jobs_log
. A common use case is to include only jobs that took a certain amount of time to execute:
cr> SET GLOBAL "stats.jobs_log_filter" = 'ended - started > 100';
stats.jobs_log_persistent_filter
Default: false
(Include nothing)
Runtime: yes
An expression to determine if a job should also be recorded to the regular CrateDB
log. Entries that match this filter will be logged under the StatementLog
logger with the INFO
level.
This is similar to stats.jobs_log_filter
except that these entries are persisted to the log file. This should be used with caution and shouldn’t be set to an expression that matches many queries as the logging operation will block on IO and can therefore affect performance.
A common use case is to use this for slow query logging.
stats.operations_log_size
Default: 10000
Runtime: yes
The maximum number of operations records to be kept in the sys.operations_log table on each node.
A job consists of one or more individual operations. Operations records are used for performance analytics. A larger operations log produces more comprehensive stats, but uses more RAM.
Older operations records are deleted as newer records are added, once the limit is reached.
Setting this value to 0
disables collecting operations information.
stats.operations_log_expiration
Default: 0s
(disabled)
Runtime: yes
Entries of sys.operations_log are cleared by a periodically job when they are older than the specified expire time. This setting overrides stats.operations_log_size. If the value is set to 0
the time based log entry eviction is disabled.
Note
If both setttings stats.operations_log_size and stats.operations_log_expiration are disabled, no job information will be collected.
stats.service.interval
Default: 24h
Runtime: yes
Defines the refresh interval to refresh tables statistics used to produce optimal query execution plans.
This field expects a time value either as a bigint
or double precision
or alternatively as a string literal with a time suffix (ms
, s
, m
, h
, d
, w
).
If the value provided is 0
then the refresh is disabled.
Caution
Using a very small value can cause a high load on the cluster.
Shard limits
cluster.max_shards_per_node
Default: 1000
Runtime: yes
The maximum amount of shards per node.
Any operations that would result in the creation of additional shard copies that would exceed this limit are rejected.
For example. If you have 999 shards in the current cluster and you try to create a new table, the create table operation will fail.
Similarly, if a write operation would lead to the creation of a new partition, the statement will fail.
Each shard on a node requires some memory and increases the size of the cluster state. Having too many shards per node will impact the clusters stability and it is therefore discouraged to raise the limit above 1000.
Usage data collector
The settings of the Usage Data Collector are read-only and cannot be set during runtime. Please refer to Usage Data Collector to get further information about its usage.
udc.enabled
Default: true
Runtime: no
true
: Enables the Usage Data Collector.
false
: Disables the Usage Data Collector.
udc.initial_delay
Default: 10m
Runtime: no
The delay for first ping after start-up.
This field expects a time value either as a bigint
or double precision
or alternatively as a string literal with a time suffix (ms
, s
, m
, h
, d
, w
).
udc.interval
Default:
24h
Runtime:
no
The interval a UDC ping is sent.
This field expects a time value either as a
bigint
ordouble precision
or alternatively as a string literal with a time suffix (ms
,s
,m
,h
,d
,w
).
udc.url
Default: https://udc.crate.io
Runtime: no
The URL the ping is sent to.
Graceful stop
By default, when the CrateDB process stops it simply shuts down, possibly making some shards unavailable which leads to a red cluster state and lets some queries fail that required the now unavailable shards. In order to safely shutdown a CrateDB node, the graceful stop procedure can be used.
The following cluster settings can be used to change the shutdown behaviour of nodes of the cluster:
cluster.graceful_stop.min_availability
Default: primaries
Runtime: yes
Allowed values: none | primaries | full
none
: No minimum data availability is required. The node may shut down even if records are missing after shutdown.
primaries
: At least all primary shards need to be available after the node has shut down. Replicas may be missing.
full
: All records and all replicas need to be available after the node has shut down. Data availability is full.
Note
This option is ignored if there is only 1 node in a cluster!
cluster.graceful_stop.timeout
Default: 2h
Runtime: yes
Defines the maximum waiting time in milliseconds for the reallocation process to finish. The force
setting will define the behaviour when the shutdown process runs into this timeout.
The timeout expects a time value either as a bigint
or double precision
or alternatively as a string literal with a time suffix (ms
, s
, m
, h
, d
, w
).
cluster.graceful_stop.force
Default: false
Runtime: yes
Defines whether graceful stop
should force stopping of the node if it runs into the timeout which is specified with the cluster.graceful_stop.timeout setting.
Bulk operations
SQL DML Statements involving a huge amount of rows like COPY FROM, INSERT or UPDATE can take an enormous amount of time and resources. The following settings change the behaviour of those queries.
bulk.request_timeout
Default: 1m
Runtime: yes
Defines the timeout of internal shard-based requests involved in the execution of SQL DML Statements over a huge amount of rows.
Discovery
Data sharding and work splitting are at the core of CrateDB. This is how we manage to execute very fast queries over incredibly large datasets. In order for multiple CrateDB nodes to work together a cluster needs to be formed. The process of finding other nodes with which to form a cluster is called discovery. Discovery runs when a CrateDB node starts and when a node is not able to reach the master node and continues until a master node is found or a new master node is elected.
discovery.seed_hosts
Default: 127.0.0.1
Runtime: no
In order to form a cluster with CrateDB instances running on other nodes a list of seed master-eligible nodes needs to be provided. This setting should normally contain the addresses of all the master-eligible nodes in the cluster. In order to seed the discovery process the nodes listed here must be live and contactable. This setting contains either an array of hosts or a comma-delimited string. By default a node will bind to the available loopback and scan for local ports between 4300
and 4400
to try to connect to other nodes running on the same server. This default behaviour provides local auto clustering without any configuration. Each value should be in the form of host:port or host (where port defaults to the setting transport.tcp.port
).
Note
IPv6 hosts must be bracketed.
cluster.initial_master_nodes
Default: not set
Runtime: no
Contains a list of node names, full-qualified hostnames or IP addresses of the master-eligible nodes which will vote in the very first election of a cluster that’s bootstrapping for the first time. By default this is not set, meaning it expects this node to join an already formed cluster. In development mode, with no discovery settings configured, this step is performed by the nodes themselves, but this auto-bootstrapping is designed to aim development and is not safe for production. In production you must explicitly list the names or IP addresses of the master-eligible nodes whose votes should be counted in the very first election.
discovery.type
Default: zen
Runtime: no
Allowed values: zen | single-node
Specifies whether CrateDB should form a multiple-node cluster. By default, CrateDB discovers other nodes when forming a cluster and allows other nodes to join the cluster later. If discovery.type
is set to single-node
, CrateDB forms a single-node cluster and the node won’t join any other clusters. This can be useful for testing. It is not recommend to use this for production setups. The single-node
mode also skips bootstrap checks.
Caution
If a node is started without any initial_master_nodes or a discovery_type set to single-node
(e.g., the default configuration), it will never join a cluster even if the configuration is subsequently changed.
It is possible to force the node to forget its current cluster state by using the crate-node CLI tool. However, be aware that this may result in data loss.
Unicast host discovery
As described above, CrateDB has built-in support for statically specifying a list of addresses that will act as the seed nodes in the discovery process using the discovery.seed_hosts setting.
CrateDB also has support for several different mechanisms of seed nodes discovery. Currently there are three other discovery types: via DNS, via EC2 API and via Microsoft Azure mechanisms.
When a node starts up with one of these discovery types enabled, it performs a lookup using the settings for the specified mechanism listed below. The hosts and ports retrieved from the mechanism will be used to generate a list of unicast hosts for node discovery.
The same lookup is also performed by all nodes in a cluster whenever the master is re-elected (see Cluster Meta Data).
discovery.seed_providers
Default: not set
Runtime: no
Allowed values: srv
, ec2
, azure
See also: Discovery.
Discovery via DNS
Crate has built-in support for discovery via DNS. To enable DNS discovery the discovery.seed_providers
setting needs to be set to srv
.
The order of the unicast hosts is defined by the priority, weight and name of each host defined in the SRV record. For example:
_crate._srv.example.com. 3600 IN SRV 2 20 4300 crate1.example.com.
_crate._srv.example.com. 3600 IN SRV 1 10 4300 crate2.example.com.
_crate._srv.example.com. 3600 IN SRV 2 10 4300 crate3.example.com.
would result in a list of discovery nodes ordered like:
crate2.example.com:4300, crate3.example.com:4300, crate1.example.com:4300
discovery.srv.query
Runtime: no
The DNS query that is used to look up SRV records, usually in the format _service._protocol.fqdn
If not set, the service discovery will not be able to look up any SRV records.
discovery.srv.resolver
Runtime: no
The hostname or IP of the DNS server used to resolve DNS records. If this is not set, or the specified hostname/IP is not resolvable, the default (system) resolver is used.
Optionally a custom port can be specified using the format hostname:port
.
Discovery on Amazon EC2
CrateDB has built-in support for discovery via the EC2 API. To enable EC2 discovery the discovery.seed_providers
settings needs to be set to ec2
.
discovery.ec2.access_key
Runtime: no
The access key ID to identify the API calls.
discovery.ec2.secret_key
Runtime: no
The secret key to identify the API calls.
Following settings control the discovery:
discovery.ec2.groups
Runtime: no
A list of security groups; either by ID or name. Only instances with the given group will be used for unicast host discovery.
discovery.ec2.any_group
Default: true
Runtime: no
Defines whether all (false
) or just any (true
) security group must be present for the instance to be used for discovery.
discovery.ec2.host_type
Default: private_ip
Runtime: no
Allowed values: private_ip
, public_ip
, private_dns
, public_dns
Defines via which host type to communicate with other instances.
discovery.ec2.availability_zones
Runtime: no
A list of availability zones. Only instances within the given availability zone will be used for unicast host discovery.
discovery.ec2.tag.<name>
Runtime: no
EC2 instances for discovery can also be filtered by tags using the discovery.ec2.tag.
prefix plus the tag name.
E.g. to filter instances that have the environment
tags with the value dev
your setting will look like: discovery.ec2.tag.environment: dev
.
discovery.ec2.endpoint
Runtime: no
If you have your own compatible implementation of the EC2 API service you can set the endpoint that should be used.
Discovery on Microsoft Azure
CrateDB has built-in support for discovery via the Azure Virtual Machine API. To enable Azure discovery set the discovery.seed_providers
setting to azure
.
cloud.azure.management.resourcegroup.name
Runtime: no
The name of the resource group the CrateDB cluster is running on.
All nodes need to be started within the same resource group.
cloud.azure.management.subscription.id
Runtime: no
The subscription ID of your Azure account.
You can find the ID on the Azure Portal.
cloud.azure.management.tenant.id
Runtime: no
The tenant ID of the Active Directory application.
cloud.azure.management.app.id
Runtime: no
The application ID of the Active Directory application.
cloud.azure.management.app.secret
Runtime: no
The password of the Active Directory application.
discovery.azure.method
Default: vnet
Runtime: no
Allowed values: vnet | subnet
Defines the scope of the discovery. vnet
will discover all VMs within the same virtual network (default), subnet
will discover all VMs within the same subnet of the CrateDB instance.
Routing allocation
cluster.routing.allocation.enable
Default: all
Runtime: yes
Allowed values: all | none | primaries | new_primaries
all
allows all shard allocations, the cluster can allocate all kinds of shards.
none
allows no shard allocations at all. No shard will be moved or created.
primaries
only primaries can be moved or created. This includes existing primary shards.
new_primaries
allows allocations for new primary shards only. This means that for example a newly added node will not allocate any replicas. However it is still possible to allocate new primary shards for new indices. Whenever you want to perform a zero downtime upgrade of your cluster you need to set this value before gracefully stopping the first node and reset it to all
after starting the last updated node.
Note
This allocation setting has no effect on the recovery of primary shards! Even when cluster.routing.allocation.enable
is set to none
, nodes will recover their unassigned local primary shards immediatelly after restart.
cluster.routing.rebalance.enable
Default: all
Runtime: yes
Allowed values: all | none | primaries | replicas
Enables or disables rebalancing for different types of shards:
all
allows shard rebalancing for all types of shards.none
disables shard rebalancing for any types.primaries
allows shard rebalancing only for primary shards.replicas
allows shard rebalancing only for replica shards.
cluster.routing.allocation.allow_rebalance
Default: indices_all_active
Runtime: yes
Allowed values: always | indices_primary_active | indices_all_active
Defines when rebalancing will happen based on the total state of all the indices shards in the cluster.
Defaults to indices_all_active
to reduce chatter during initial recovery.
cluster.routing.allocation.cluster_concurrent_rebalance
Default: 2
Runtime: yes
Defines how many concurrent rebalancing tasks are allowed across all nodes.
cluster.routing.allocation.node_initial_primaries_recoveries
Default: 4
Runtime: yes
Defines how many concurrent primary shard recoveries are allowed on a node.
Since primary recoveries use data that is already on disk (as opposed to inter-node recoveries), recovery should be fast and so this setting can be higher than node_concurrent_recoveries.
cluster.routing.allocation.node_concurrent_recoveries
Default: 2
Runtime: yes
Defines how many concurrent recoveries are allowed on a node.
Awareness
Cluster allocation awareness allows to configure shard allocation across generic attributes associated with nodes.
cluster.routing.allocation.awareness.attributes
Runtime: no
You may define custom node attributes which can then be used to do awareness based on the allocation of a shard and its replicas.
For example, let’s say we want to use an attribute named rack_id
. We start two nodes with node.attr.rack_id
set to rack_one
. Then we create a single table with five shards and one replica. The table will be fully deployed on the current nodes (five shards and one replica each, making a total of 10 shards).
Now, if we start two more nodes with node.attr.rack_id
set to rack_two
, CrateDB will relocate shards to even out the number of shards across the nodes. However, a shard and its replica will not be allocated to nodes sharing the same rack_id
value.
The awareness.attributes
setting supports using several values.
cluster.routing.allocation.awareness.force.*.values
Runtime: no
Attributes on which shard allocation will be forced. Here, *
is a placeholder for the awareness attribute, which can be configured using the cluster.routing.allocation.awareness.attributes setting.
For example, let’s say we configured forced shard allocation for an awareness attribute named zone
with values
set to zone1, zone2
. Start two nodes with node.attr.zone
set to zone1
. Then, create a table with five shards and one replica. The table will be created, but only five shards will be allocated (with no replicas). The replicas will only be allocated when when we start one or more nodes with node.attr.zone
set to zone2
.
See also
For a more in-depth example that uses custom node attributes, check out the multi-zone setup how-to guide.
Balanced shards
CrateDB will attempt to balance a cluster using the weights described in this subsection. The cluster is considered balanced when no further allowed action can bring the respective properties of each node closer together.
Note
Balancing may be restricted by other settings (e.g., forced awareness, allocation filtering, and disk-based allocation).
cluster.routing.allocation.balance.shard
Default: 0.45f
Runtime: yes
Defines the weight factor for shards allocated on a node (float). Raising this raises the tendency to equalize the number of shards across all nodes in the cluster.
cluster.routing.allocation.balance.index
Default: 0.55f
Runtime: yes
Defines a factor to the number of shards per index allocated on a specific node (float). Increasing this value raises the tendency to equalize the number of shards per index across all nodes in the cluster.
cluster.routing.allocation.balance.threshold
Default: 1.0f
Runtime: yes
Minimal optimization value of operations that should be performed (non negative float). Increasing this value will cause the cluster to be less aggressive about optimising the shard balance.
Cluster-wide allocation filtering
Control which shards are allocated to which nodes.
Filter definitions are retroactively enforced. If a filter prevents matching shards from being newly allocated to a node, existing matching shards will also be moved away.
E.g., this could be used to only allocate shards on nodes with specific IP addresses.
cluster.routing.allocation.include.*
Runtime: yes
Only allocate shards on nodes where one of the specified values matches the attribute.
For example:
cluster.routing.allocation.include.zone: "zone1,zone2"`
cluster.routing.allocation.exclude.*
Runtime: yes
Only allocate shards on nodes where none of the specified values matches the attribute.
For example:
cluster.routing.allocation.exclude.zone: "zone1"
cluster.routing.allocation.require.*
Runtime: yes
Used to specify a number of rules, which all MUST match for a node in order to allocate a shard on it. This is in contrast to include which will include a node if ANY rule matches.
Disk-based shard allocation
cluster.routing.allocation.disk.threshold_enabled
Default: true
Runtime: yes
Prevent shard allocation on nodes depending of the disk usage.
cluster.routing.allocation.disk.watermark.low
Default: 85%
Runtime: yes
Defines the lower disk threshold limit for shard allocations. New shards will not be allocated on nodes with disk usage greater than this value. It can also be set to an absolute bytes value (like e.g. 500mb
) to prevent the cluster from allocating new shards on node with less free disk space than this value.
cluster.routing.allocation.disk.watermark.high
Default: 90%
Runtime: yes
Defines the higher disk threshold limit for shard allocations. The cluster will attempt to relocate existing shards to another node if the disk usage on a node rises above this value. It can also be set to an absolute bytes value (like e.g. 500mb
) to relocate shards from nodes with less free disk space than this value.
cluster.routing.allocation.disk.watermark.flood_stage
Default: 95%
Runtime: yes
Defines the threshold on which CrateDB enforces a read-only block on every index that has at least one shard allocated on a node with at least one disk exceeding the flood stage.
Note
Read-only blocks are not automatically removed from the indices if the disk space is freed and the threshold is undershot. To remove the block, execute ALTER TABLE ... SET ("blocks.read_only_allow_delete" = FALSE)
for affected tables (see blocks.read_only_allow_delete).
cluster.routing.allocation.disk.watermark
settings may be defined as percentages or bytes values. However, it is not possible to mix the value types.
By default, the cluster will retrieve information about the disk usage of the nodes every 30 seconds. This can also be changed by setting the cluster.info.update.interval setting.
Note
The watermark settings are also used for the Routing allocation disk watermark low and Routing allocation disk watermark high node check.
Setting cluster.routing.allocation.disk.threshold_enabled
to false will disable the allocation decider, but the node checks will still be active and warn users about running low on disk space.
cluster.routing.allocation.total_shards_per_node
Default: -1
Runtime: yes
Limits the number of shards that can be allocated per node. A value of -1
means unlimited.
Setting this to 1000
, for example, will prevent CrateDB from assigning more than 1000 shards per node. A node with 1000 shards would be excluded from allocation decisions and CrateDB would attempt to allocate shards to other nodes, or leave shards unassigned if no suitable node can be found.
Recovery
indices.recovery.max_bytes_per_sec
Default: 40mb
Runtime: yes
Specifies the maximum number of bytes that can be transferred during shard recovery per seconds. Limiting can be disabled by setting it to 0
. This setting allows to control the network usage of the recovery process. Higher values may result in higher network utilization, but also faster recovery process.
indices.recovery.retry_delay_state_sync
Default: 500ms
Runtime: yes
Defines the time to wait after an issue caused by cluster state syncing before retrying to recover.
indices.recovery.retry_delay_network
Default: 5s
Runtime: yes
Defines the time to wait after an issue caused by the network before retrying to recover.
indices.recovery.internal_action_timeout
Default: 15m
Runtime: yes
Defines the timeout for internal requests made as part of the recovery.
indices.recovery.internal_action_long_timeout
Default: 30m
Runtime: yes
Defines the timeout for internal requests made as part of the recovery that are expected to take a long time. Defaults to twice internal_action_timeout.
indices.recovery.recovery_activity_timeout
Default: 30m
Runtime: yes
Recoveries that don’t show any activity for more then this interval will fail. Defaults to internal_action_long_timeout.
indices.recovery.max_concurrent_file_chunks
Default: 2
Runtime: yes
Controls the number of file chunk requests that can be sent in parallel per recovery. As multiple recoveries are already running in parallel, controlled by cluster.routing.allocation.node_concurrent_recoveries, increasing this expert-level setting might only help in situations where peer recovery of a single shard is not reaching the total inbound and outbound peer recovery traffic as configured by indices.recovery.max_bytes_per_sec, but is CPU-bound instead, typically when using transport-level security or compression.
Memory management
memory.allocation.type
Default: on-heap
Runtime: yes
Supported values are on-heap
and off-heap
. This influences if memory is preferably allocated in the heap space or in the off-heap/direct memory region.
Setting this to off-heap
doesn’t imply that the heap won’t be used anymore. Most allocations will still happen in the heap space but some operations will be allowed to utilize off heap buffers.
Warning
Using off-heap
is considered experimental.
Query circuit breaker
The Query circuit breaker will keep track of the used memory during the execution of a query. If a query consumes too much memory or if the cluster is already near its memory limit it will terminate the query to ensure the cluster keeps working.
indices.breaker.query.limit
Default: 60%
Runtime: yes
Specifies the limit for the query breaker. Provided values can either be absolute values (interpreted as a number of bytes), byte sizes (eg. 1mb) or percentage of the heap size (eg. 12%). A value of -1
disables breaking the circuit while still accounting memory usage.
indices.breaker.query.overhead
Default: 1.00
Runtime: no
Caution
This setting is deprecated and has no effect.
Field data circuit breaker
These settings are deprecated and will be removed in CrateDB 5.0. They don’t have any effect anymore.
indices.breaker.fielddata.limit
Default: 60%
Runtime: yes
indices.breaker.fielddata.overhead
Default: 1.03
Runtime: yes
Request circuit breaker
The request circuit breaker allows an estimation of required heap memory per request. If a single request exceeds the specified amount of memory, an exception is raised.
indices.breaker.request.limit
Default: 60%
Runtime: yes
Specifies the JVM heap limit for the request circuit breaker.
indices.breaker.request.overhead
Default: 1.0
Runtime: yes
Caution
This setting is deprecated and has no effect.
Accounting circuit breaker
Tracks things that are held in memory independent of queries. For example the memory used by Lucene for segments.
indices.breaker.accounting.limit
Default: 100%
Runtime: yes
Specifies the JVM heap limit for the accounting circuit breaker
indices.breaker.accounting.overhead
Default: 1.0
Runtime: yes
Caution
This setting is deprecated and has no effect.
Stats circuit breakers
Settings that control the behaviour of the stats circuit breaker. There are two breakers in place, one for the jobs log and one for the operations log. For each of them, the breaker limit can be set.
stats.breaker.log.jobs.limit
Default: 5%
Runtime: yes
The maximum memory that can be used from CRATE_HEAP_SIZE for the sys.jobs_log table on each node.
When this memory limit is reached, the job log circuit breaker logs an error message and clears the sys.jobs_log table completely.
stats.breaker.log.operations.limit
Default: 5%
Runtime: yes
The maximum memory that can be used from CRATE_HEAP_SIZE for the sys.operations_log table on each node.
When this memory limit is reached, the operations log circuit breaker logs an error message and clears the sys.operations_log table completely.
Total circuit breaker
indices.breaker.total.limit
Default: 95%
Runtime: yes
The maximum memory that can be used by all aforementioned circuit breakers together.
Even if an individual circuit breaker doesn’t hit its individual limit, queries might still get aborted if several circuit breakers together would hit the memory limit configured in indices.breaker.total.limit
.
Thread pools
Every node holds several thread pools to improve how threads are managed within a node. There are several pools, but the important ones include:
write
: For index, update and delete operations, defaults to fixedsearch
: For count/search operations, defaults to fixedget
: For queries onsys.shards
andsys.nodes
, defaults to fixed.refresh
: For refresh operations, defaults to cache
thread_pool.<name>.type
Runtime: no
Allowed values: fixed | scaling
fixed
holds a fixed size of threads to handle the requests. It also has a queue for pending requests if no threads are available.
scaling
ensures that a thread pool holds a dynamic number of threads that are proportional to the workload.
Settings for fixed thread pools
If the type of a thread pool is set to fixed
there are a few optional settings.
thread_pool.<name>.size
Runtime: no
Number of threads. The default size of the different thread pools depend on the number of available CPU cores.
thread_pool.<name>.queue_size
Default write: 200
Default search: 1000
Default get: 100
Runtime: no
Size of the queue for pending requests. A value of -1
sets it to unbounded.
Metadata
cluster.info.update.interval
Default: 30s
Runtime: yes
Defines how often the cluster collect metadata information (e.g. disk usages etc.) if no concrete event is triggered.
Metadata gateway
The following settings can be used to configure the behavior of the metadata gateway.
gateway.expected_nodes
Default: -1
Runtime: no
The setting gateway.expected_nodes
defines the number of nodes that should be waited for until the cluster state is recovered immediately. The value of the setting should be equal to the number of nodes in the cluster, because you only want the cluster state to be recovered after all nodes are started.
gateway.recover_after_time
Default: 0ms
Runtime: no
The gateway.recover_after_time
setting defines the time to wait before starting the recovery once the number of nodes defined in gateway.recover_after_nodes
are started. The setting is relevant if gateway.recover_after_nodes
is less than gateway.expected_nodes
.
gateway.recover_after_nodes
Default: -1
Runtime: no
The gateway.recover_after_nodes
setting defines the number of nodes that need to be started before the cluster state recovery will start. Ideally the value of the setting should be equal to the number of nodes in the cluster, because you only want the cluster state to be recovered once all nodes are started. However, the value must be bigger than the half of the expected number of nodes in the cluster.