ElasticSearchReader¶
ElasticSearchReader 插件实现了从 Elasticsearch 读取索引的功能， 它通过 Elasticsearch 提供的 Rest API （默认端口9200），执行指定的查询语句批量获取数据
示例¶
假定要获取的索引内容如下
{
"took": 14,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "test-1",
"_type": "default",
"_id": "38",
"_score": 1,
"_source": {
"col_date": "2017-05-25T11:22:33.000+08:00",
"col_integer": 19890604,
"col_keyword": "hello world",
"col_ip": "1.1.1.1",
"col_text": "long text",
"col_double": 19890604,
"col_long": 19890604,
"col_geo_point": "41.12,-71.34"
}
},
{
"_index": "test-1",
"_type": "default",
"_id": "103",
"_score": 1,
"_source": {
"col_date": "2017-05-25T11:22:33.000+08:00",
"col_integer": 19890604,
"col_keyword": "hello world",
"col_ip": "1.1.1.1",
"col_text": "long text",
"col_double": 19890604,
"col_long": 19890604,
"col_geo_point": "41.12,-71.34"
}
}
]
}
}
配置一个从 Elasticsearch 读取数据并打印到终端的任务
{
"job": {
"setting": {
"speed": {
"byte": -1,
"channel": 1
}
},
"content": {
"reader": {
"name": "elasticsearchreader",
"parameter": {
"endpoint": "http://127.0.0.1:9200",
"accessId": "",
"accesskey": "",
"index": "test-1",
"type": "default",
"searchType": "dfs_query_then_fetch",
"headers": {},
"scroll": "3m",
"search": [
{
"query": {
"match": {
"col_ip": "1.1.1.1"
}
},
"aggregations": {
"top_10_states": {
"terms": {
"field": "col_date",
"size": 10
}
}
}
}
],
"column": [
"col_ip",
"col_double",
"col_long",
"col_integer",
"col_keyword",
"col_text",
"col_geo_point",
"col_date"
]
}
},
"writer": {
"name": "streamwriter",
"parameter": {
"print": true,
"encoding": "UTF-8"
}
}
}
}
}
将上述内容保存为 job/es2stream.json
执行下面的命令进行采集
bin/addax.sh job/es2stream.json
其输出结果类似如下（输出记录数有删减)
2021-02-19 13:38:15.860 [main] INFO VMInfo - VMInfo# operatingSystem class => com.sun.management.internal.OperatingSystemImpl
2021-02-19 13:38:15.895 [main] INFO Engine -
{
"content":
{
"reader":{
"parameter":{
"accessId":"",
"headers":{},
"endpoint":"http://127.0.0.1:9200",
"search":[
{
"query": {
"match": {
"col_ip": "1.1.1.1"
}
},
"aggregations": {
"top_10_states": {
"terms": {
"field": "col_date",
"size": 10
}
}
}
}
],
"accesskey":"*****",
"searchType":"dfs_query_then_fetch",
"scroll":"3m",
"column":[
"col_ip",
"col_double",
"col_long",
"col_integer",
"col_keyword",
"col_text",
"col_geo_point",
"col_date"
],
"index":"test-1",
"type":"default"
},
"name":"elasticsearchreader"
},
"writer":{
"parameter":{
"print":true,
"encoding":"UTF-8"
},
"name":"streamwriter"
}
},
"setting":{
"errorLimit":{
"record":0,
"percentage":0.02
},
"speed":{
"byte":-1,
"channel":1
}
}
}
2021-02-19 13:38:15.934 [main] INFO PerfTrace - PerfTrace traceId=job_-1, isEnable=false, priority=0
2021-02-19 13:38:15.934 [main] INFO JobContainer - Addax jobContainer starts job.
2021-02-19 13:38:15.937 [main] INFO JobContainer - Set jobId = 0
2017-05-25T11:22:33.000+08:00 19890604 hello world 1.1.1.1 long text 19890604 19890604 41.12,-71.34
2017-05-25T11:22:33.000+08:00 19890604 hello world 1.1.1.1 long text 19890604 19890604 41.12,-71.34
2021-02-19 13:38:19.845 [job-0] INFO AbstractScheduler - Scheduler accomplished all tasks.
2021-02-19 13:38:19.848 [job-0] INFO JobContainer - Addax Writer.Job [streamwriter] do post work.
2021-02-19 13:38:19.849 [job-0] INFO JobContainer - Addax Reader.Job [elasticsearchreader] do post work.
2021-02-19 13:38:19.855 [job-0] INFO JobContainer - PerfTrace not enable!
2021-02-19 13:38:19.858 [job-0] INFO StandAloneJobContainerCommunicator - Total 95 records, 8740 bytes | Speed 2.84KB/s, 31 records/s | Error 0 records, 0 bytes | All Task WaitWriterTime 0.000s | All Task WaitReaderTime 0.103s | Percentage 100.00%
2021-02-19 13:38:19.861 [job-0] INFO JobContainer -
任务启动时刻 : 2021-02-19 13:38:15
任务结束时刻 : 2021-02-19 13:38:19
任务总计耗时 : 3s
任务平均流量 : 2.84KB/s
记录写入速度 : 31rec/s
读出记录总数 : 2
读写失败总数 : 0
参数说明¶
| 配置项 | 是否必须 | 类型 | 默认值 | 描述 |
|---|---|---|---|---|
| endpoint | 是 | string | 无 | ElasticSearch的连接地址 |
| accessId | 否 | string | "" |
http auth中的user |
| accessKey | 否 | string | "" |
http auth中的password |
| index | 是 | string | 无 | elasticsearch中的index名 |
| type | 否 | string | index名 | elasticsearch中index的type名 |
| search | 是 | list | [] |
json格式api搜索数据体 |
| column | 是 | list | 无 | 需要读取的字段 |
| timeout | 否 | int | 60 | 客户端超时时间(单位：秒) |
| discovery | 否 | boolean | false | 启用节点发现(轮询)并定期更新客户机中的服务器列表 |
| compression | 否 | boolean | true | http请求，开启压缩 |
| multiThread | 否 | boolean | true | http请求，是否有多线程 |
| searchType | 否 | string | dfs_query_then_fetch |
搜索类型 |
| headers | 否 | map | {} |
http请求头 |
| scroll | 否 | string | "" |
滚动分页配置 |
search¶
search 配置项允许配置为满足 Elasticsearch API 查询要求的内容，比如这样：
{
"query": {
"match": {
"message": "myProduct"
}
},
"aggregations": {
"top_10_states": {
"terms": {
"field": "state",
"size": 10
}
}
}
}
searchType¶
searchType 目前支持以下几种：
- dfs_query_then_fetch
- query_then_fetch
- count
- scan