qdrant如何进行密码验证和config配置？

qdrant支持环境变量配置修改、config文件配置修改

1、config文件样本

log_level: INFO

storage:
  # Where to store all the data
  storage_path: ./storage

  # Where to store snapshots
  snapshots_path: ./snapshots

  snapshots_config:
    # "local" or "s3" - where to store snapshots
    snapshots_storage: local
    # s3_config:
    #   bucket: ""
    #   region: ""
    #   access_key: ""
    #   secret_key: ""

  # Where to store temporary files
  # If null, temporary snapshot are stored in: storage/snapshots_temp/
  temp_path: null

  # If true - point's payload will not be stored in memory.
  # It will be read from the disk every time it is requested.
  # This setting saves RAM by (slightly) increasing the response time.
  # Note: those payload values that are involved in filtering and are indexed - remain in RAM.
  on_disk_payload: true

  # Maximum number of concurrent updates to shard replicas
  # If `null` - maximum concurrency is used.
  update_concurrency: null

  # Write-ahead-log related configuration
  wal:
    # Size of a single WAL segment
    wal_capacity_mb: 32

    # Number of WAL segments to create ahead of actual data requirement
    wal_segments_ahead: 0

  # Normal node - receives all updates and answers all queries
  node_type: "Normal"

  # Listener node - receives all updates, but does not answer search/read queries
  # Useful for setting up a dedicated backup node
  # node_type: "Listener"

  performance:
    # Number of parallel threads used for search operations. If 0 - auto selection.
    max_search_threads: 0

    # Max number of threads (jobs) for running optimizations across all collections, each thread runs one job.
    # If 0 - have no limit and choose dynamically to saturate CPU.
    # Note: each optimization job will also use `max_indexing_threads` threads by itself for index building.
    max_optimization_threads: 0

    # CPU budget, how many CPUs (threads) to allocate for an optimization job.
    # If 0 - auto selection, keep 1 or more CPUs unallocated depending on CPU size
    # If negative - subtract this number of CPUs from the available CPUs.
    # If positive - use this exact number of CPUs.
    optimizer_cpu_budget: 0

    # Prevent DDoS of too many concurrent updates in distributed mode.
    # One external update usually triggers multiple internal updates, which breaks internal
    # timings. For example, the health check timing and consensus timing.
    # If null - auto selection.
    update_rate_limit: null

    # Limit for number of incoming automatic shard transfers per collection on this node, does not affect user-requested transfers.
    # The same value should be used on all nodes in a cluster.
    # Default is to allow 1 transfer.
    # If null - allow unlimited transfers.
    #incoming_shard_transfers_limit: 1

    # Limit for number of outgoing automatic shard transfers per collection on this node, does not affect user-requested transfers.
    # The same value should be used on all nodes in a cluster.
    # Default is to allow 1 transfer.
    # If null - allow unlimited transfers.
    #outgoing_shard_transfers_limit: 1

  optimizers:
    # The minimal fraction of deleted vectors in a segment, required to perform segment optimization
    deleted_threshold: 0.2

    # The minimal number of vectors in a segment, required to perform segment optimization
    vacuum_min_vector_number: 1000

    # Target amount of segments optimizer will try to keep.
    # Real amount of segments may vary depending on multiple parameters:
    #  - Amount of stored points
    #  - Current write RPS
    #
    # It is recommended to select default number of segments as a factor of the number of search threads,
    # so that each segment would be handled evenly by one of the threads.
    # If `default_segment_number = 0`, will be automatically selected by the number of available CPUs
    default_segment_number: 0

    # Do not create segments larger this size (in KiloBytes).
    # Large segments might require disproportionately long indexation times,
    # therefore it makes sense to limit the size of segments.
    #
    # If indexation speed have more priority for your - make this parameter lower.
    # If search speed is more important - make this parameter higher.
    # Note: 1...

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