mongodb config_error ai_generated true

MongoDB Atlas Search index sync failed: Index 'search_idx' on collection 'products' in sync state 'FAILED'

ID: mongodb/atlas-search-index-sync-failure

Also available as: JSON · Markdown · 中文
80%Fix Rate
83%Confidence
1Evidence
2024-05-12First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
MongoDB Atlas (M10+ clusters) active
Atlas Search 1.0 active
Atlas Search 2.0 active

Root Cause

An Atlas Search index definition contains an invalid mapping (e.g., referencing a non-existent field, using an unsupported analyzer, or exceeding field limit), causing the index synchronization process to fail.

generic

中文

Atlas Search 索引定义包含无效映射(例如引用不存在的字段、使用不支持的解析器或超出字段限制),导致索引同步过程失败。

Official Documentation

https://www.mongodb.com/docs/atlas/atlas-search/create-index/

Workarounds

  1. 85% success Check the Atlas UI for detailed error messages in the Search Index details panel. Common fixes: remove unsupported field types (e.g., arrays of mixed types) or correct analyzer names (e.g., 'lucene.standard' instead of 'standard').
    Check the Atlas UI for detailed error messages in the Search Index details panel. Common fixes: remove unsupported field types (e.g., arrays of mixed types) or correct analyzer names (e.g., 'lucene.standard' instead of 'standard').
  2. 80% success Use the Atlas Search API to retrieve the index status: `curl -s -u "username:apiKey" "https://cloud.mongodb.com/api/atlas/v1.0/groups/{groupId}/clusters/{clusterName}/fts/indexes/{indexId}" | jq '.status'`. Then update the index definition with corrected mappings.
    Use the Atlas Search API to retrieve the index status: `curl -s -u "username:apiKey" "https://cloud.mongodb.com/api/atlas/v1.0/groups/{groupId}/clusters/{clusterName}/fts/indexes/{indexId}" | jq '.status'`. Then update the index definition with corrected mappings.
  3. 75% success Simplify the index definition to only include essential fields, then gradually add fields while monitoring sync status.
    Simplify the index definition to only include essential fields, then gradually add fields while monitoring sync status.

中文步骤

  1. 在 Atlas UI 的搜索索引详情面板中检查详细错误消息。常见修复:删除不支持的字段类型(例如混合类型的数组)或更正解析器名称(例如使用 'lucene.standard' 而不是 'standard')。
  2. 使用 Atlas Search API 检索索引状态:`curl -s -u "username:apiKey" "https://cloud.mongodb.com/api/atlas/v1.0/groups/{groupId}/clusters/{clusterName}/fts/indexes/{indexId}" | jq '.status'`。然后使用更正后的映射更新索引定义。
  3. 简化索引定义,只包含必要字段,然后逐步添加字段并监控同步状态。

Dead Ends

Common approaches that don't work:

  1. 95% fail

    The underlying mapping error persists; the new index will also fail to sync.

  2. 90% fail

    The failure is due to schema validation, not resource constraints.

  3. 85% fail

    Atlas Search sync is asynchronous and does not re-validate the index definition on document insertion.