wutiangan commented on a change in pull request #3867:
URL: https://github.com/apache/incubator-doris/pull/3867#discussion_r440105076



##########
File path: docs/en/extending-doris/doris-on-es.md
##########
@@ -26,62 +26,314 @@ under the License.
 
 # Doris On ES
 
-Doris-On-ES combines Doris's distributed query planning capability with ES 
(Elastic search)'s full-text search capability to provide a more complete OLAP 
scenario solution:
+Doris-On-ES not only take advantage of Doris's distributed query planning 
capability but also ES (Elastic search)'s full-text search capability, provide 
a more complete OLAP scenario solution:
 
 1. Multi-index Distributed Join Query in ES
 2. Joint Query of Tables in Doris and ES, More Complex Full-Text Retrieval and 
Filtering
-3. Aggregated queries for fields of ES keyword type: suitable for frequent 
changes in index, tens of millions or more of single fragmented documents, and 
the cardinality of the field is very large
 
 This document mainly introduces the realization principle and usage of this 
function.
 
-## Noun Interpretation
+## Glossary
+
+### Noun in Doris
 
 * FE: Frontend, the front-end node of Doris. Responsible for metadata 
management and request access.
 * BE: Backend, Doris's back-end node. Responsible for query execution and data 
storage.
-* Elastic search (ES): The most popular open source distributed search engine.
+
+### Noun in ES
+
 * DataNode: The data storage and computing node of ES.
 * MasterNode: The Master node of ES, which manages metadata, nodes, data 
distribution, etc.
 * scroll: The built-in data set cursor feature of ES for streaming scanning 
and filtering of data.
+* _source: contains the original JSON document body that was passed at index 
time
+* doc_values: store the same values as the _source but in a column-oriented 
fashion
+* keyword: string datatype in ES, but the content not analyzed by analyzer
+* text: string datatype in ES, the content analyzed by analyzer
 
 
-## How to use it
+## How To Use
 
-### Create appearance
+### Create ES Index
 
 ```
-CREATE EXTERNAL TABLE `es_table` (
-  `id` bigint(20) COMMENT "",
+PUT test
+{
+   "settings": {
+      "index": {
+         "number_of_shards": "1",
+         "number_of_replicas": "0"
+      }
+   },
+   "mappings": {
+      "doc": { // ES 7.x版本之后创建索引时不需要指定type,会有一个默认且唯一的`_doc` type
+         "properties": {
+            "k1": {
+               "type": "long"
+            },
+            "k2": {
+               "type": "date"
+            },
+            "k3": {
+               "type": "keyword"
+            },
+            "k4": {
+               "type": "text",
+               "analyzer": "standard"
+            },
+            "k5": {
+               "type": "float"
+            }
+         }
+      }
+   }
+}
+```
+
+### Add JSON documents to ES index
+
+```
+POST /_bulk
+{"index":{"_index":"test","_type":"doc"}}
+{ "k1" : 100, "k2": "2020-01-01", "k3": "Trying out Elasticsearch", "k4": 
"Trying out Elasticsearch", "k5": 10.0}
+{"index":{"_index":"test","_type":"doc"}}
+{ "k1" : 100, "k2": "2020-01-01", "k3": "Trying out Doris", "k4": "Trying out 
Doris", "k5": 10.0}
+{"index":{"_index":"test","_type":"doc"}}
+{ "k1" : 100, "k2": "2020-01-01", "k3": "Doris On ES", "k4": "Doris On ES", 
"k5": 10.0}
+{"index":{"_index":"test","_type":"doc"}}
+{ "k1" : 100, "k2": "2020-01-01", "k3": "Doris", "k4": "Doris", "k5": 10.0}
+{"index":{"_index":"test","_type":"doc"}}
+{ "k1" : 100, "k2": "2020-01-01", "k3": "ES", "k4": "ES", "k5": 10.0}
+```
+
+### Create external ES table
+
+```
+CREATE EXTERNAL TABLE `test` (
+  `k1` bigint(20) COMMENT "",
+  `k2` datetime COMMENT "",
+  `k3` varchar(20) COMMENT "",
+  `k4` varchar(100) COMMENT "",
+  `k5` float COMMENT ""
+) ENGINE=ELASTICSEARCH // ENGINE必须是Elasticsearch
+PROPERTIES (
+"hosts" = "http://192.168.0.1:8200,http://192.168.0.2:8200";,
+"index" = "test”,
+"type" = "doc",
+
+"user" = "root",
+"password" = "root"
+);
+```
+
+The following parameters are accepted by ES table:
+
+参数 | 说明

Review comment:
       change it to english




----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

For queries about this service, please contact Infrastructure at:
us...@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscr...@doris.apache.org
For additional commands, e-mail: commits-h...@doris.apache.org

Reply via email to