1. 题目描述
有一个index=index_a,只有一列title;
请以此index_a为基础, 保留title;
增加len列,内容为title列的长度;
增加split_title列,内容为title列用空格分割的数组;
2. 题目准备
PUT /index_a/_doc/1
{
"title": "Thinking in java 4th"
}
3. 创建 ingest pipeline
创建一个名为pipeline_a的pipeline
PUT _ingest/pipeline/pipeline_a
{
"processors": [
{
"script": { ## 3.1 script
"source": "ctx.len=ctx.title.length();"
}
},
{
"set": { ## 3.2 set
"field": "split_title",
"value": ""
}
},
{
"split": { ## 3.3 split
"field": "title",
"separator": " ",
"target_field": "split_title"
}
}
]
}
这个pipeline的创建里,使用了pipeline的3个processor, 分别如下:
3.1 script
script 给index增加一个len字段, 值为 title 字段的长度ctx.len=ctx.title.length();
3.2 set
split_title 给index增加了一个字段 split_title, 值设置为空字符串
3.3 split
split 给index做一个split处理, 输入目标是 title
字段, 输出到字段 split_title
上
由于processor是一个一个流水执行的, 下一个,可以用到上一个的, 所以会正确达到我们预期
4. reindex并使用pipeline
POST _reindex
{
"source": {
"index": "index_a"
},
"dest": {
"index": "index_b",
"op_type": "create",
"pipeline": "pipeline_a"
}
}
5. 验证
GET /index_b/_search
{
"took" : 0,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"skipped" : 0,
"failed" : 0
},
"hits" : {
"total" : {
"value" : 1,
"relation" : "eq"
},
"max_score" : 1.0,
"hits" : [
{
"_index" : "index_b",
"_id" : "1",
"_score" : 1.0,
"_source" : {
"len" : 20,
"split_title" : [
"Thinking",
"in",
"java",
"4th"
],
"title" : "Thinking in java 4th"
}
}
]
}
}
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