- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Full-cluster restart and rolling restart
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Value Count Aggregation
- Median Absolute Deviation Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite Aggregation
- Date histogram aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Parent Aggregation
- Range Aggregation
- Rare Terms Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Subtleties of bucketing range fields
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Cumulative Cardinality Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Normalizers
- Tokenizers
- Char Group Tokenizer
- Classic Tokenizer
- Edge n-gram tokenizer
- Keyword Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- N-gram tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Standard Tokenizer
- Thai Tokenizer
- UAX URL Email Tokenizer
- Whitespace Tokenizer
- Token Filters
- Apostrophe
- ASCII folding
- CJK bigram
- CJK width
- Classic
- Common grams
- Conditional
- Decimal digit
- Delimited payload
- Dictionary decompounder
- Edge n-gram
- Elision
- Fingerprint
- Flatten Graph Token Filter
- Hunspell Token Filter
- Hyphenation decompounder
- Keep types
- Keep words
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Length Token Filter
- Limit Token Count Token Filter
- Lowercase Token Filter
- MinHash Token Filter
- Multiplexer Token Filter
- N-gram
- Normalization Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Phonetic Token Filter
- Porter Stem Token Filter
- Predicate Token Filter Script
- Remove Duplicates Token Filter
- Reverse Token Filter
- Shingle Token Filter
- Snowball Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Stop Token Filter
- Synonym Token Filter
- Synonym Graph Token Filter
- Trim Token Filter
- Truncate Token Filter
- Unique Token Filter
- Uppercase Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph Token Filter
- Character Filters
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Bytes Processor
- Circle Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- HTML Strip Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Pipeline Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- Getting started with snapshot lifecycle management
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
- SQL Translate API
- SQL CLI
- SQL JDBC
- SQL ODBC
- SQL Client Applications
- SQL Language
- Functions and Operators
- Comparison Operators
- Logical Operators
- Math Operators
- Cast Operators
- LIKE and RLIKE Operators
- Aggregate Functions
- Grouping Functions
- Date/Time and Interval Functions and Operators
- Full-Text Search Functions
- Mathematical Functions
- String Functions
- Type Conversion Functions
- Geo Functions
- Conditional Functions And Expressions
- System Functions
- Reserved keywords
- SQL Limitations
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Secure a cluster
- Overview
- Configuring security
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enabling audit logging
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Testing
- Glossary of terms
- REST APIs
- API conventions
- cat APIs
- Cluster APIs
- Cross-cluster replication APIs
- Document APIs
- Explore API
- Index APIs
- Add index alias
- Analyze
- Clear cache
- Clone index
- Close index
- Create index
- Delete index
- Delete index alias
- Delete index template
- Flush
- Force merge
- Freeze index
- Get field mapping
- Get index
- Get index alias
- Get index settings
- Get index template
- Get mapping
- Index alias exists
- Index exists
- Index recovery
- Index segments
- Index shard stores
- Index stats
- Index template exists
- Open index
- Put index template
- Put mapping
- Refresh
- Rollover index
- Shrink index
- Split index
- Synced flush
- Type exists
- Unfreeze index
- Update index alias
- Update index settings
- Index lifecycle management API
- Ingest APIs
- Info API
- Licensing APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendar
- Create datafeeds
- Create filter
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
- Delete forecast
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Find file structure
- Flush jobs
- Forecast jobs
- Get buckets
- Get calendars
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- Get overall buckets
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Revert model snapshots
- Set upgrade mode
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filter
- Update jobs
- Update model snapshots
- Machine learning data frame analytics APIs
- Migration APIs
- Reload search analyzers
- Rollup APIs
- Search APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Create or update users
- Delegate PKI authentication
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
- Disable users
- Enable users
- Get API key information
- Get application privileges
- Get builtin privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect Prepare Authentication API
- OpenID Connect authenticate API
- OpenID Connect logout API
- SSL certificate
- Snapshot lifecycle management API
- Transform APIs
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Breaking changes in 7.4
editBreaking changes in 7.4
editThis section discusses the changes that you need to be aware of when migrating your application to Elasticsearch 7.4.
See also Release highlights and Release notes.
Plugins changes
editTokenizerFactory changes
editTokenizerFactory now has a name()
method that must be implemented. Most
plugin-provided TokenizerFactory implementations will extend AbstractTokenizerFactory
,
which now takes a name
parameter in its constructor.
Search Changes
editForbid empty doc values in vector functions
editIf a document doesn’t have a value for a vector field (dense_vector or sparse_vector) on which a vector function is executed, an error will be thrown.
Use float instead of double for query vectors
editPreviously, vector functions like cosineSimilarity
represented the query
vector as an list of doubles. Now vector functions use floats, which matches
how the stored document vectors are represented.
Snapshot and Restore changes
editThe S3 repository plugin uses the DNS style access pattern by default
editStarting in version 7.4 the repository-s3
plugin does not use the
now-deprecated path-style access pattern by default. In versions 7.0, 7.1, 7.2
and 7.3 the repository-s3
plugin always used the path-style access pattern.
This is a breaking change for deployments that only support path-style access
but which are recognized as supporting DNS-style access by the AWS SDK. If your
deployment only supports path-style access and is affected by this change then
you must configure the S3 client setting path_style_access
to true
. This
breaking change was made necessary by
AWS’s
announcement that the path-style access pattern is deprecated and will be
unsupported on buckets created after September 30th 2020.
HTTP changes
editChanges to Encoding Plus Signs in URLs
editStarting in version 7.4, a +
in a URL will be encoded as %2B
by all REST API functionality. Prior versions handled a +
as a single space.
If your application requires handling +
as a single space you can return to the old behaviour by setting the system property
es.rest.url_plus_as_space
to true
. Note that this behaviour is deprecated and setting this system property to true
will cease
to be supported in version 8.
Cluster changes
editRerouting after starting a shard runs at lower priority
editAfter starting each shard the elected master node must perform a reroute to
search for other shards that could be allocated. In particular, when creating
an index it is this task that allocates the replicas once the primaries have
started. In versions prior to 7.4 this task runs at priority URGENT
, but
starting in version 7.4 its priority is reduced to NORMAL
. In a
well-configured cluster this reduces the amount of work the master must do, but
means that a cluster with a master that is overloaded with other tasks at
HIGH
or URGENT
priority may take longer to allocate all replicas.
Additionally, before 7.4 the GET
_cluster_health?wait_for_no_initializing_shards
and GET
_cluster/health?wait_for_no_relocating_shards
APIs would return only once all
pending reroutes have completed too, but starting in version 7.4 if you want to
wait for the rerouting process to completely finish you should add the
wait_for_events=languid
query parameter when calling these APIs.
Allocation changes
editAuto-release of read-only-allow-delete block
editIf a node exceeds the flood-stage disk watermark then Elasticsearch adds the
index.blocks.read_only_allow_delete
block to all of its indices to prevent
further writes, as a last-resort attempt to prevent the node completely
exhausting its disk space. In earlier versions this block would remain in place
until manually removed, causing confusion for users who currently have ample
disk space and who are not aware that they nearly ran out at some point in the
past. From 7.4 onwards the block is automatically removed when the node drops
below the high watermark again, with the expectation that the high watermark is
some distance below the flood-stage watermark and therefore the disk space
problem is truly resolved. Since this block may be automatically removed, you
can no longer rely on adding this block manually to prevent writes to an index.
You should use the index.blocks.read_only
block instead. This behaviour can
be disabled by setting the system property
es.disk.auto_release_flood_stage_block
to false
.
Settings changes
editAuthentication realm name uniqueness is enforced
editAuthentication realm name uniqueness is now enforced. If you configure more than one realm of any type with the same name, the node fails to start.
pidfile
setting is being replaced by node.pidfile
editTo ensure that all settings are in a proper namespace, the pidfile
setting is
deprecated, and will be removed in version 8.0.0. Instead, use node.pidfile
.
processors
setting is being replaced by node.processors
editTo ensure that all settings are in a proper namespace, the processors
setting
is deprecated, and will be removed in version 8.0.0. Instead, use
node.processors
.
Transform changes
editStats response format changes
editThe response format of the Get transform statistics is very different to previous versions:
-
task_state
andindexer_state
are combined into a singlestate
field that replaces the oldstate
object. -
Within the
checkpointing
object,current
is renamed tolast
andin_progress
tonext
. -
The
checkpoint
number is now nested underlast
andnext
. -
checkpoint_progress
is now reported in an object nested in thenext
checkpoint object. (If there is nonext
checkpoint then no checkpoint is in progress and by definition thelast
checkpoint is 100% complete.)
For an example of the new format see Examples.
Data frame analytics changes
editChanges to progress reporting
editThe single integer progress_percent
field at the top level of the
data frame analytics job stats is replaced by a progress
field that is an array
of objects. Each object contains the phase
name and progress_percent
of one
phase of the analytics. For example:
{ "id" : "my_job", "state" : "analyzing", "progress" : [ { "phase" : "reindexing", "progress_percent" : 100 }, { "phase" : "loading_data", "progress_percent" : 100 }, { "phase" : "analyzing", "progress_percent" : 47 }, { "phase" : "writing_results", "progress_percent" : 0 } ] }
On this page
- Plugins changes
- TokenizerFactory changes
- Search Changes
- Forbid empty doc values in vector functions
- Use float instead of double for query vectors
- Snapshot and Restore changes
- The S3 repository plugin uses the DNS style access pattern by default
- HTTP changes
- Changes to Encoding Plus Signs in URLs
- Cluster changes
- Rerouting after starting a shard runs at lower priority
- Allocation changes
- Auto-release of read-only-allow-delete block
- Settings changes
- Authentication realm name uniqueness is enforced
pidfile
setting is being replaced bynode.pidfile
processors
setting is being replaced bynode.processors
- Transform changes
- Stats response format changes
- Data frame analytics changes
- Changes to progress reporting