Question

CURL / JSON中是否有一种方法可以检索索引中存在的所有ID的特定类型的源值？例如，在下面的示例数据中，我需要为类型（文档）的所有id获取_id_batch（源值）。 _source_include在ID级别工作，但我想为索引中所有类型的ID检索_source_include的所有值。

一旦我到达那里，我就想限制输出中的数据，所以只给那些像“location”：“west palm beach”这样的记录一样给我_id_batch。

类似的东西（*仅用于选择所有值）：

curl -X GET "http://<IP Server>:9200/<index_name>/document/*/_source?_source_include=_id_batch" -d "
{
"from": 0,
"fields":[],
"size":50,
"sort":[]
}
" > "C:\Users\user\Downloads\output.json"

示例数据：

网址：http://IPServer:9200/index_name/document

{
  "_index" : "<index_name>",
  "_type" : "document",
  "_id" : "11",
  "_version" : 1,
  "found" : true,
  "_source":{"_id_batch":1001688,"_id_document":11,"name":"xxx","location":"west palm beach","tweet":"0.0"}
}

{
  "_index" : "<index_name>",
  "_type" : "document",
  "_id" : "12",
  "_version" : 1,
  "found" : true,
  "_source":{"_id_batch":1001689,"_id_document":12,"name":"yyy","location":"west palm beach","tweet":"0.0"}
}

预期产出：

{"_id_batch":1001688}
{"_id_batch":1001689}

示例查询（使用命令行，因此“”）：

curl -X GET "http://<IP Server>:9200/<index_name>/document/11/_source?_source_include=_id_batch" -d "
{
    "from": 0,
    "fields":[],
    "size":50,
    "sort":[]
}
" > "C:\Users\user\Downloads\output.json"

JSON文件中的示例输出：

{"_id_batch":1001688}

试了一下电话 -

curl -XPOST "http://<IP Server>:9200/<index_name>/document/_search" -d "{"query" : { "match_all" : {} },"size" : <LARGE_NUM>,"_source" : [ "_id_batch" ]}"

得到了错误 -

{"error":"SearchPhaseExecutionException[Failed to execute phase [query], all shards failed; shardFailures {[dyYdbJLMQeC5XvXE0wwA9Q][<index_name>][0]: RemoteTransportException[[<server>][inet[/<IP Server>:9300]][indices:data/read/search[phase/query]]]; nested: SearchParseException[[<index_name>][0]: query[ConstantScore(*:*)],from[-1],size[50]: Parse Failure [Failed to parse source [{query : { match_all : {} },size : 50,_source : [ _id_batch ]}]]]; nested: JsonParseException[Unrecognized token '_id_batch': was expecting ('true', 'false' or 'null')\n at [Source: UNKNOWN; line: 1, column: 61]]; }{[dyYdbJLMQeC5XvXE0wwA9Q][<index_name>][1]: RemoteTransportException[[<server>][inet[/<IP Server>:9300]][indices:data/read/search[phase/query]]]; nested: SearchParseException[[<index_name>][1]: query[ConstantScore(*:*)],from[-1],size[50]: Parse Failure [Failed to parse source [{query : { match_all : {} },size : 50,_source : [ _id_batch ]}]]]; nested: JsonParseException[Unrecognized token '_id_batch': was expecting ('true', 'false' or 'null')\n at [Source: UNKNOWN; line: 1, column: 61]]; }{[31mSI_d3SPmTf7cU1dSNlQ][<index_name>][2]: RemoteTransportException[[D1-C04-WAPP02][inet[/<IP>:9300]][indices:data/read/search[phase/query]]]; nested: SearchParseException[[<index_name>][2]: query[ConstantScore(*:*)],from[-1],size[50]: Parse Failure [Failed to parse source [{query : { match_all : {} },size : 50,_source : [ _id_batch ]}]]]; nested: JsonParseException[Unrecognized token '_id_batch': was expecting ('true', 'false' or 'null')\n at [Source: UNKNOWN; line: 1, column: 61]]; }{[q2tWPLiCQR-O2zXRZBuQYg][<index_name>][3]: SearchParseException[[<index_name>][3]: query[ConstantScore(*:*)],from[-1],size[50]: Parse Failure [Failed to parse source [{query : { match_all : {} },size : 50,_source : [ _id_batch ]}]]]; nested: JsonParseException[Unrecognized token '_id_batch': was expecting ('true', 'false' or 'null')\n at [Source: [B@4fccd33b; line: 1, column: 61]]; }{[q2tWPLiCQR-O2zXRZBuQYg][<index_name>][4]: SearchParseException[[<index_name>][4]: query[ConstantScore(*:*)],from[-1],size[50]: Parse Failure [Failed to parse source [{query : { match_all : {} },size : 50,_source : [ _id_batch ]}]]]; nested: JsonParseException[Unrecognized token '_id_batch': was expecting ('true', 'false' or 'null')\n at [Source: [B@4fccd33b; line: 1, column: 61]]; }]","status":400}

Answer 1

我想你想要这样的东西：

curl -XPOST "http://<IP Server>:9200/<index_name>/document/_search" -d '{
    "query" : { "match_all" : {} },
    "size" : <LARGE_NUM>,
    "_source" : [ "_id_batch" ]
}'

其中LARGE_NUM是一个大数字＆gt;＆gt; “文件”类型的所有记录的计数

因此，您通过正在命中的端点指定类型或映射（“文档”），并且您正在查询该映射的所有Elasticsearch记录。

Elasticsearch查询为所有ID

1 个答案: