Join ApacheSolr中的连接查询：如何获取分层数据中的所有级别

我有一个Solr4索引，表示内容之间的子->父关系，并带有以下相关字段：

• 项目编号
• im_端点_源_节点$nid
• im_端点_目标_节点$nid

其中，item_id是关系id，im_endpoints_source_node$nid是父文档id的多值字段，im_endpoints_target_node$nid是子文档id的多值字段

每个文档可能有几个子文档和几个父文档

我想选择特定文档的所有祖先或后代关系

假设我有一个这样的结构：

1 > 30
1 > 11
11 > 121
11 > 126
126 > 134

我可以通过以下选择查询获得所有直接的父关系：

/select?fq=im_endpoints_source_node$nid:1

/select?fq={!join from=im_endpoints_target_node$nid to=im_endpoints_source_node$nid}im_endpoints_source_node$nid:1

它给出了以下结果：

{
  "response": {
    "numFound": 2,
    "start": 0,
    "docs": [
      {
        "id": "child_relation_index-9",
        "index_id": "child_relation_index",
        "item_id": "9",
        "is_rid": 9,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          1
        ],
        "im_endpoints_target_node$nid": [
          30
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      },
      {
        "id": "child_relation_index-13",
        "index_id": "child_relation_index",
        "item_id": "13",
        "is_rid": 13,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          1
        ],
        "im_endpoints_target_node$nid": [
          11
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      }
    ]
  }
}

{
  "response": {
    "numFound": 2,
    "start": 0,
    "docs": [
      {
        "id": "child_relation_index-18",
        "index_id": "child_relation_index",
        "item_id": "18",
        "is_rid": 18,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          11
        ],
        "im_endpoints_target_node$nid": [
          121
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      },
      {
        "id": "child_relation_index-19",
        "index_id": "child_relation_index",
        "item_id": "19",
        "is_rid": 19,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          11
        ],
        "im_endpoints_target_node$nid": [
          126
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      }
    ]
  }
}

以及第二级祖先关系（祖父母关系），使用以下select查询：

/select?fq=im_endpoints_source_node$nid:1

/select?fq={!join from=im_endpoints_target_node$nid to=im_endpoints_source_node$nid}im_endpoints_source_node$nid:1

它给出了以下结果：

{
  "response": {
    "numFound": 2,
    "start": 0,
    "docs": [
      {
        "id": "child_relation_index-9",
        "index_id": "child_relation_index",
        "item_id": "9",
        "is_rid": 9,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          1
        ],
        "im_endpoints_target_node$nid": [
          30
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      },
      {
        "id": "child_relation_index-13",
        "index_id": "child_relation_index",
        "item_id": "13",
        "is_rid": 13,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          1
        ],
        "im_endpoints_target_node$nid": [
          11
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      }
    ]
  }
}

{
  "response": {
    "numFound": 2,
    "start": 0,
    "docs": [
      {
        "id": "child_relation_index-18",
        "index_id": "child_relation_index",
        "item_id": "18",
        "is_rid": 18,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          11
        ],
        "im_endpoints_target_node$nid": [
          121
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      },
      {
        "id": "child_relation_index-19",
        "index_id": "child_relation_index",
        "item_id": "19",
        "is_rid": 19,
        "bs_field_relation_inactive": false,
        "ss_search_api_language": "und",
        "im_endpoints_source_node$nid": [
          11
        ],
        "im_endpoints_target_node$nid": [
          126
        ],
        "timestamp": "2013-09-24T13:03:44.739Z"
      }
    ]
  }
}

有没有一种方法可以在一次查询中获取文档的所有祖先（从级别1到级别N）？

仅供参考：此索引是使用Drupal的搜索API Solr模块和关系模块创建的。它包含了大约500k个文档的300k多个关系

任何帮助都将不胜感激