# Task Management API
## Current Tasks Information(当前任务信息)
**task management API** 可以获取关于集群中一个或多个节点正在执行中的任务的信息。
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`curl -XGET ``'localhost:9200/_tasks ?pretty'``①`
`curl -XGET ``'localhost:9200/_tasks?nodes=nodeId1,nodeId2 &pretty'``②`
`curl -XGET ``'localhost:9200/_tasks?nodes=nodeId1,nodeId2&actions=cluster:* &pretty'``③`
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编号
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描述
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| --- | --- |
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[![](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/images/icons/callouts/1.png)](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/tasks.html#CO135-1)
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Retrieves all tasks currently running on all nodes in the cluster.
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[![](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/images/icons/callouts/2.png)](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/tasks.html#CO135-2)
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Retrieves all tasks running on nodes `nodeId1` and `nodeId2`. See [the section called “Node specification](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/cluster.html#cluster-nodes "Node specificationedit")[edit](https://github.com/elastic/elasticsearch/edit/5.0/docs/reference/cluster.asciidoc "Edit this page on GitHub")” for more info about how to select individual nodes.
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[![](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/images/icons/callouts/3.png)](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/tasks.html#CO135-3)
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Retrieves all cluster-related tasks running on nodes `nodeId1` and `nodeId2`.
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返回结果看起来如下 :
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`{`
`"nodes"` `: {`
`"oTUltX4IQMOUUVeiohTt8A"` `: {`
`"name"` `: ``"H5dfFeA"``,`
`"transport_address"` `: ``"127.0.0.1:9300"``,`
`"host"` `: ``"127.0.0.1"``,`
`"ip"` `: ``"127.0.0.1:9300"``,`
`"tasks"` `: {`
`"oTUltX4IQMOUUVeiohTt8A:124"` `: {`
`"node"` `: ``"oTUltX4IQMOUUVeiohTt8A"``,`
`"id"` `: 124,`
`"type"` `: ``"direct"``,`
`"action"` `: ``"cluster:monitor/tasks/lists[n]"``,`
`"start_time_in_millis"` `: 1458585884904,`
`"running_time_in_nanos"` `: 47402,`
`"cancellable"` `: ``false``,`
`"parent_task_id"` `: ``"oTUltX4IQMOUUVeiohTt8A:123"`
`},`
`"oTUltX4IQMOUUVeiohTt8A:123"` `: {`
`"node"` `: ``"oTUltX4IQMOUUVeiohTt8A"``,`
`"id"` `: 123,`
`"type"` `: ``"transport"``,`
`"action"` `: ``"cluster:monitor/tasks/lists"``,`
`"start_time_in_millis"` `: 1458585884904,`
`"running_time_in_nanos"` `: 236042,`
`"cancellable"` `: ``false`
`}`
`}`
`}`
`}`
`}`
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也可以获取指定任务的信息 :
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`curl -XGET ``'localhost:9200/_tasks/task_id:1 ?pretty'`
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[![](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/images/icons/callouts/1.png)](https://www.elastic.co/guide/en/elasticsearch/reference/5.0/tasks.html#CO136-1)
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This will return a 404 if the task isn’t found.
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或者获取任务所有子任务的信息 :
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`curl -XGET ``'localhost:9200/_tasks?parent_task_id=parentTaskId:1 &pretty'`
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如果父任务不存在也不会返回 404 错误。
该任务 **API** 也可用于等待一个指定的任务完成。在 **id** 为**oTUltX4IQMOUUVeiohTt8A** 的任务完成之前,下面的调用将锁住 **10** 秒。
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`curl -XGET ``'localhost:9200/_tasks/oTUltX4IQMOUUVeiohTt8A:12345?wait_for_completion=true&timeout=10s&pretty'`
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你可以等待所有任务中的某个动作类型直到完成。这个命令将等待所有的**reindex** 任务直到完成 :
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`curl -XGET ``'localhost:9200/_tasks?actions=*reindex&wait_for_completion=true&timeout=10s&pretty'`
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可以使用 **_cat** 列出任务命令列表,它接受与标准的 **list task** 命令相同的参数。
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`curl -XGET ``'localhost:9200/_cat/tasks?pretty'`
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## Task Cancellation(任务取消)
如果一个长期运行的任务支持取消,可以通过下列的命令来取消它 :
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`curl -XPOST ``'localhost:9200/_tasks/task_id:1/_cancel?pretty'`
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该任务取消命令支持和 **list tasks** 命令相同的任务选择参数,所以多个任务可以在同时取消。例如,下面的命令将取消所有运行在 **nodeId1** 和 **nodeId2** 上的**reindex** 任务。
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`curl -XPOST ``'localhost:9200/_tasks/_cancel?nodes=nodeId1,nodeId2&actions=*reindex&pretty'`
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## Task Grouping(任务组)
通过使用 **task API** 命令使用 **group_by** 参数可以通过 **nodes**(默认)或者父任务来分组以返回任务列表。下面的命令将改变分组为父任务 :
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`curl -XGET ``'localhost:9200/_tasks?group_by=parents&pretty'`
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- 入门
- 基本概念
- 安装
- 探索你的集群
- 集群健康
- 列出所有索引库
- 创建一个索引库
- 索引文档创建与查询
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- 修改你的数据
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- 批量处理
- 探索你的数据
- 搜索API
- 查询语言介绍
- 执行搜索
- 执行过滤
- 执行聚合
- 总结
- Elasticsearch设置
- 安装Elasticsearch
- .zip或.tar.gz文件的安装方式
- Install Elasticsearch with .zip on Windows
- Debian软件包安装方式
- RPM安装方式
- Install Elasticsearch with Windows MSI Installer
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- 配置Elasticsearch
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- 系统设置
- 在jvm.options中设置JVM堆大小
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- 邻接矩阵聚合
- Children Aggregation
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- Significant Terms Aggregation
- Filter Aggregation(过滤器聚合)
- Filters Aggregation
- Geo Distance Aggregation(地理距离聚合) 转至元数据结尾
- GeoHash grid Aggregation(GeoHash网格聚合)
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- Histogram Aggregation
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- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation(导数聚合)
- Max Bucket Aggregation
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- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation(扩展信息桶聚合)
- Percentiles Bucket Aggregation(百分数桶聚合)
- Moving Average Aggregation
- Cumulative Sum Aggregation(累积汇总聚合)
- Bucket Script Aggregation(桶脚本聚合)
- Bucket Selector Aggregation(桶选择器聚合)
- Serial Differencing Aggregation(串行差异聚合)
- Matrix Aggregations
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- Types Exists
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- cat aliases
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- Cluster APIs
- 集群健康
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- Cluster Update Settings
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- Query DSL
- 查询context与过滤context
- Match All Query
- 全文搜索
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- 短语匹配查询
- 短语前缀匹配查询
- 多字段查询
- 常用术语查询
- 查询语句查询
- 简单查询语句
- Term level queries
- Term Query
- Terms Query
- Range Query
- Exists Query
- Prefix Query
- Wildcard Query
- Regexp Query
- Fuzzy Query
- Type Query
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- 复合查询
- Constant Score 查询
- Bool 查询
- Dis Max 查询
- Function Score 查询
- Boosting 查询
- Joining queries
- Has Child Query
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- Nested Query(嵌套查询)
- Parent Id Query
- Geo queries
- GeoShape Query(地理形状查询)
- Geo Bounding Box Query(地理边框查询)
- Geo Distance Query(地理距离查询)
- Geo Polygon Query(地理多边形查询)
- Specialized queries
- More Like This Query
- Script Query
- Percolate Query
- Span queries
- Span Term 查询
- Span Multi Term 查询
- Span First 查询
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- Span Or 查询
- Span Not 查询
- Span Containing 查询
- Span Within 查询
- Span Field Masking 查询 转至元数据结尾
- Minimum Should Match
- Multi Term Query Rewrite
- Mapping
- Removal of mapping types
- Field datatypes
- Array
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- Token数
- 渗滤型
- join datatype
- Meta-Fields
- _all field
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- _source field
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- Mapping parameters
- analyzer(分析器)
- normalizer(归一化)
- boost(提升)
- Coerce(强制类型转换)
- copy_to(合并参数)
- doc_values(文档值)
- dynamic(动态设置)
- enabled(开启字段)
- eager_global_ordinals
- fielddata(字段数据)
- format (日期格式)
- ignore_above(忽略超越限制的字段)
- ignore_malformed(忽略格式不对的数据)
- index (索引)
- index_options(索引设置)
- fields(字段)
- Norms (标准信息)
- null_value(空值)
- position_increment_gap(短语位置间隙)
- properties (属性)
- search_analyzer (搜索分析器)
- similarity (匹配方法)
- store(存储)
- Term_vectors(词根信息)
- Dynamic Mapping
- Dynamic field mapping(动态字段映射)
- Dynamic templates(动态模板)
- default mapping(mapping中的_default_)
- Analysis
- Anatomy of an analyzer(分析器的分析)
- Testing analyzers(测试分析器)
- Analyzers(分析器)
- Configuring built-in analyzers(配置内置分析器)
- Standard Analyzer(标准分析器)
- Simple Analyzer(简单分析器)
- 空白分析器
- Stop Analyzer
- Keyword Analyzer
- 模式分析器
- 语言分析器
- 指纹分析器
- 自定义分析器
- Normalizers
- Tokenizers(分词器)
- Standard Tokenizer(标准分词器)
- Letter Tokenizer
- Lowercase Tokenizer (小写分词器)
- Whitespace Analyzer
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer(泰语分词器)
- NGram Tokenizer
- Edge NGram Tokenizer
- Keyword Analyzer
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Path Hierarchy Tokenizer(路径层次分词器)
- Token Filters(词元过滤器)
- Standard Token Filter
- ASCII Folding Token Filter
- Flatten Graph Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Synonym Graph Token Filter
- Compound Word Token Filters
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- CJK Width Token Filter
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Character Filters(字符过滤器)
- HTML Strip Character Filter
- Mapping Character Filter
- Pattern Replace Character Filter
- 模块
- Cluster
- 集群级路由和碎片分配
- 基于磁盘的分片分配
- 分片分配awareness
- 分片分配过滤
- Miscellaneous cluster settings
- Scripting
- Painless Scripting Language
- Lucene Expressions Language
- Advanced scripts using script engines
- Snapshot And Restore
- Thread Pool
- Index Modules(索引模块)
- 预处理节点
- Pipeline Definition
- Ingest APIs
- Put Pipeline API
- Get Pipeline API
- Delete Pipeline API
- Simulate Pipeline API
- Accessing Data in Pipelines
- Handling Failures in Pipelines
- Processors
- Monitoring Elasticsearch
- X-Pack APIs
- X-Pack Commands
- How To
- Testing(测试)
- Glossary of terms
- Release Notes
- X-Pack Release Notes