o19s/elasticsearch-learning-to-rank

`_msearch` support when logging features

Open

#305 建立於 2020年5月9日

在 GitHub 查看
 (5 留言) (0 反應) (0 負責人)Java (1,456 star) (366 fork)batch import
help wanted

描述

Howdy! When logging features it sure would be faster to get to use the msearch api, though what's documented in the examples is just search. When trying to use that, hit:

~/.local/lib/python3.7/site-packages/elasticsearch/connection/base.py in _raise_error(self, status_code, raw_data)
    176
    177         raise HTTP_EXCEPTIONS.get(status_code, TransportError)(
--> 178             status_code, error_message, additional_info
    179         )

RequestError: RequestError(400, 'illegal_argument_exception', 'key [ext] is not supported in the metadata section')

貢獻者指南

技術棧
python
領域
machine learningsearch
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
half day
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
Understanding of Python elasticsearch clientKnowledge of Elasticsearch's msearch APIFamiliarity with the feature logging codebase
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
45
研究方向
Examine the file `demo/collect features.py` (line 62) to understand how feature logging currently uses the search API. The error occurs because the `ext` key is not supported in multi search metadata. To implement ` msearch`, you need to modify the code to batch multiple queries using the multi search endpoint while ensuring the `ext` object is placed in the query body rather than the metadata. Review Elasticsearch's ` msearch` API documentation and the Python elasticsearch client's `msearch` method.