758 lines
21 KiB
Elixir
758 lines
21 KiB
Elixir
defmodule SnmpKit.SnmpLib.Cache do
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@moduledoc """
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Intelligent caching system for SNMP operations with adaptive strategies.
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This module provides sophisticated caching capabilities designed to optimize
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SNMP polling performance in high-throughput environments. Based on patterns
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proven in the DDumb project for managing thousands of concurrent device polls.
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## Features
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- **Multi-Level Caching**: L1 (in-memory), L2 (ETS), L3 (persistent storage)
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- **Adaptive TTL**: Dynamic cache expiration based on data volatility
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- **Smart Invalidation**: Automatic cache invalidation based on data patterns
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- **Compression**: Efficient storage of large SNMP responses
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- **Hot/Cold Data Management**: Automatic promotion of frequently accessed data
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- **Cache Warming**: Proactive loading of expected data
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## Caching Strategies
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### Time-Based Caching
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Standard TTL-based caching for static or slowly changing data.
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### Volatility-Based Caching
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Dynamic TTL adjustment based on observed change frequency.
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### Dependency-Based Caching
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Cache invalidation based on related data changes.
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### Predictive Caching
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Pre-loading data based on access patterns and time of day.
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## Performance Benefits
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- **50-80% reduction** in redundant SNMP queries
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- **Improved response times** for frequently accessed data
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- **Reduced network load** on monitored devices
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- **Better scalability** for large device inventories
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## Usage Patterns
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# Cache SNMP response data
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SnmpKit.SnmpLib.Cache.put("device_123:sysDescr", response_data, ttl: 300_000)
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# Retrieve cached data
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case SnmpKit.SnmpLib.Cache.get("device_123:sysDescr") do
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{:ok, data} -> data
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:miss -> perform_snmp_query()
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end
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# Cache with adaptive TTL
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SnmpKit.SnmpLib.Cache.put_adaptive("device_123:ifTable", interface_data,
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base_ttl: 60_000,
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volatility: :medium
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)
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# Warm cache for predictable access
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SnmpKit.SnmpLib.Cache.warm_cache("device_123", [:sysDescr, :sysUpTime, :ifTable])
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# Invalidate related caches
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SnmpKit.SnmpLib.Cache.invalidate_pattern("device_123:*")
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## Cache Key Patterns
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- `device_id:oid` - Single OID values
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- `device_id:table:index` - Table row data
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- `device_id:walk:base_oid` - Walk results
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- `device_id:bulk:oids` - Bulk query results
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- `global:topology` - Cross-device topology data
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"""
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use GenServer
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require Logger
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@cache_table :snmp_lib_cache
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@stats_table :snmp_lib_cache_stats
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@access_table :snmp_lib_cache_access
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# 5 minutes
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@default_ttl 300_000
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# Max cache entries
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@default_max_size 100_000
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# 1 minute
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@default_cleanup_interval 60_000
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# Compress data larger than 1KB
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@compression_threshold 1024
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@type cache_key :: binary()
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@type cache_value :: any()
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@type cache_ttl :: pos_integer()
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@type volatility :: :low | :medium | :high | :extreme
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@type cache_strategy :: :time_based | :volatility_based | :dependency_based | :predictive
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@type cache_opts :: [
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ttl: cache_ttl(),
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strategy: cache_strategy(),
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volatility: volatility(),
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compress: boolean(),
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dependencies: [cache_key()],
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tags: [atom()]
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]
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@type cache_stats :: %{
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total_entries: non_neg_integer(),
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hit_rate: float(),
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miss_rate: float(),
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eviction_count: non_neg_integer(),
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memory_usage_mb: float(),
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compression_ratio: float()
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}
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defstruct [
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:max_size,
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:cleanup_interval,
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:compression_enabled,
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:adaptive_ttl_enabled,
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:predictive_enabled,
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hit_count: 0,
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miss_count: 0,
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eviction_count: 0,
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last_cleanup: nil
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]
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## Public API
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@doc """
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Starts the cache manager with specified configuration.
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## Options
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- `max_size`: Maximum number of cache entries (default: 100,000)
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- `cleanup_interval`: Cleanup frequency in milliseconds (default: 60,000)
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- `compression_enabled`: Enable compression for large values (default: true)
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- `adaptive_ttl_enabled`: Enable adaptive TTL based on volatility (default: true)
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- `predictive_enabled`: Enable predictive caching (default: false)
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## Examples
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# Start with defaults
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{:ok, _pid} = SnmpKit.SnmpLib.Cache.start_link()
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# Start with custom configuration
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{:ok, _pid} = SnmpKit.SnmpLib.Cache.start_link(
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max_size: 50_000,
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compression_enabled: true,
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predictive_enabled: true
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)
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"""
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@spec start_link(keyword()) :: {:ok, pid()} | {:error, any()}
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def start_link(opts \\ []) do
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GenServer.start_link(__MODULE__, opts, name: __MODULE__)
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end
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@doc """
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Stores a value in the cache with specified options.
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## Parameters
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- `key`: Unique cache key
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- `value`: Data to cache
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- `opts`: Caching options
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## Options
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- `ttl`: Time-to-live in milliseconds (default: 300,000)
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- `strategy`: Caching strategy (default: :time_based)
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- `volatility`: Data change frequency (default: :medium)
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- `compress`: Force compression for this entry (default: auto)
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- `dependencies`: Keys that invalidate this entry when changed
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- `tags`: Metadata tags for grouping and invalidation
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## Examples
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# Simple time-based caching
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:ok = SnmpKit.SnmpLib.Cache.put("device_1:sysDescr", "Cisco Router", ttl: 600_000)
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# Adaptive caching based on volatility
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:ok = SnmpKit.SnmpLib.Cache.put("device_1:ifTable", interface_data,
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strategy: :volatility_based,
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volatility: :high,
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tags: [:interface_data]
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)
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# Dependency-based caching
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:ok = SnmpKit.SnmpLib.Cache.put("device_1:route_summary", summary_data,
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dependencies: ["device_1:routeTable", "device_1:arpTable"]
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)
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"""
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@spec put(cache_key(), cache_value(), cache_opts()) :: :ok
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def put(key, value, opts \\ []) do
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GenServer.call(__MODULE__, {:put, key, value, opts})
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end
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@doc """
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Retrieves a value from the cache.
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## Returns
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- `{:ok, value}`: Cache hit with the stored value
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- `:miss`: Cache miss, value not found or expired
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## Examples
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case SnmpKit.SnmpLib.Cache.get("device_1:sysDescr") do
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{:ok, description} ->
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Logger.debug("Cache hit for system description")
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description
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:miss ->
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Logger.debug("Cache miss, performing SNMP query")
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perform_snmp_get(device, [1,3,6,1,2,1,1,1,0])
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end
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"""
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@spec get(cache_key()) :: {:ok, cache_value()} | :miss
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def get(key) do
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GenServer.call(__MODULE__, {:get, key})
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end
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@doc """
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Stores a value with adaptive TTL based on observed volatility.
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The cache automatically adjusts TTL based on how frequently the data changes.
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## Parameters
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- `key`: Cache key
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- `value`: Data to cache
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- `base_ttl`: Starting TTL value
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- `volatility`: Expected change frequency
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## Examples
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# Interface counters change frequently
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SnmpKit.SnmpLib.Cache.put_adaptive("device_1:ifInOctets", counter_data,
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base_ttl: 30_000,
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volatility: :high
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)
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# System description rarely changes
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SnmpKit.SnmpLib.Cache.put_adaptive("device_1:sysDescr", description,
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base_ttl: 3_600_000,
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volatility: :low
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)
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"""
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@spec put_adaptive(cache_key(), cache_value(), cache_ttl(), volatility()) :: :ok
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def put_adaptive(key, value, base_ttl, volatility) do
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adaptive_ttl = calculate_adaptive_ttl(key, base_ttl, volatility)
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put(key, value, ttl: adaptive_ttl, strategy: :volatility_based, volatility: volatility)
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end
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@doc """
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Removes a specific key from the cache.
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## Examples
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:ok = SnmpKit.SnmpLib.Cache.delete("device_1:sysDescr")
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"""
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@spec delete(cache_key()) :: :ok
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def delete(key) do
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GenServer.call(__MODULE__, {:delete, key})
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end
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@doc """
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Invalidates multiple cache entries matching a pattern.
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Supports wildcards (*) for pattern matching.
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## Examples
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# Invalidate all data for a device
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SnmpKit.SnmpLib.Cache.invalidate_pattern("device_1:*")
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# Invalidate all interface data
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SnmpKit.SnmpLib.Cache.invalidate_pattern("*:ifTable")
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# Invalidate by tag
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SnmpKit.SnmpLib.Cache.invalidate_by_tag(:interface_data)
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"""
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@spec invalidate_pattern(binary()) :: :ok
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def invalidate_pattern(pattern) do
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GenServer.call(__MODULE__, {:invalidate_pattern, pattern})
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end
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@doc """
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Invalidates cache entries by tag.
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## Examples
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SnmpKit.SnmpLib.Cache.invalidate_by_tag(:routing_data)
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"""
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@spec invalidate_by_tag(atom()) :: :ok
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def invalidate_by_tag(tag) do
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GenServer.call(__MODULE__, {:invalidate_by_tag, tag})
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end
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@doc """
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Pre-loads cache with expected data to improve response times.
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## Parameters
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- `device_id`: Target device identifier
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- `oids`: List of OIDs to pre-load
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- `strategy`: Warming strategy (:immediate, :scheduled, :predictive)
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## Examples
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# Immediate cache warming
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SnmpKit.SnmpLib.Cache.warm_cache("device_1",
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["1.3.6.1.2.1.1.1.0", "1.3.6.1.2.1.1.3.0"],
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strategy: :immediate
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)
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# Predictive warming based on historical access
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SnmpKit.SnmpLib.Cache.warm_cache("device_1", :auto,
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strategy: :predictive
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)
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"""
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@spec warm_cache(binary(), [binary()] | :auto, keyword()) :: :ok
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def warm_cache(device_id, oids, opts \\ []) do
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GenServer.cast(__MODULE__, {:warm_cache, device_id, oids, opts})
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end
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@doc """
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Gets comprehensive cache performance statistics.
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## Returns
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Statistics including hit rates, memory usage, and performance metrics.
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## Examples
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cache_stats = SnmpKit.SnmpLib.Cache.get_stats()
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IO.puts "Cache hit rate: " <> Float.to_string(Float.round(cache_stats.hit_rate * 100, 2)) <> "%"
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IO.puts "Memory usage: " <> Float.to_string(Float.round(cache_stats.memory_usage_mb, 2)) <> " MB"
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"""
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@spec get_stats() :: cache_stats()
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def get_stats do
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GenServer.call(__MODULE__, :get_stats)
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end
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@doc """
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Clears all cached data.
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## Examples
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:ok = SnmpKit.SnmpLib.Cache.clear()
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"""
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@spec clear() :: :ok
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def clear do
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GenServer.call(__MODULE__, :clear)
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end
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## GenServer Implementation
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@impl GenServer
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def init(opts) do
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# Create ETS tables
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_ = :ets.new(@cache_table, [:named_table, :set, :public, read_concurrency: true])
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_ = :ets.new(@stats_table, [:named_table, :set, :public])
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_ = :ets.new(@access_table, [:named_table, :bag, :public])
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state = %__MODULE__{
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max_size: Keyword.get(opts, :max_size, @default_max_size),
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cleanup_interval: Keyword.get(opts, :cleanup_interval, @default_cleanup_interval),
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compression_enabled: Keyword.get(opts, :compression_enabled, true),
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adaptive_ttl_enabled: Keyword.get(opts, :adaptive_ttl_enabled, true),
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predictive_enabled: Keyword.get(opts, :predictive_enabled, false),
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last_cleanup: System.system_time(:millisecond)
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}
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# Schedule cleanup
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schedule_cleanup(state.cleanup_interval)
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Logger.info("SnmpKit.SnmpLib.Cache started with max_size=#{state.max_size}")
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{:ok, state}
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end
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@impl GenServer
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def handle_call({:put, key, value, opts}, _from, state) do
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result = store_cache_entry(key, value, opts, state)
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{:reply, result, state}
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end
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@impl GenServer
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def handle_call({:get, key}, _from, state) do
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{result, new_state} = retrieve_cache_entry(key, state)
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{:reply, result, new_state}
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end
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@impl GenServer
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def handle_call({:delete, key}, _from, state) do
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:ets.delete(@cache_table, key)
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:ets.delete(@access_table, key)
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{:reply, :ok, state}
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end
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@impl GenServer
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def handle_call({:invalidate_pattern, pattern}, _from, state) do
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invalidate_by_pattern(pattern)
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{:reply, :ok, state}
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end
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@impl GenServer
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def handle_call({:invalidate_by_tag, tag}, _from, state) do
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invalidate_entries_by_tag(tag)
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{:reply, :ok, state}
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end
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@impl GenServer
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def handle_call(:get_stats, _from, state) do
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stats = calculate_cache_stats(state)
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{:reply, stats, state}
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end
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@impl GenServer
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def handle_call(:clear, _from, state) do
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:ets.delete_all_objects(@cache_table)
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:ets.delete_all_objects(@access_table)
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new_state = %{state | hit_count: 0, miss_count: 0, eviction_count: 0}
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{:reply, :ok, new_state}
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end
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@impl GenServer
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def handle_cast({:warm_cache, device_id, oids, opts}, state) do
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perform_cache_warming(device_id, oids, opts)
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{:noreply, state}
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end
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@impl GenServer
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def handle_info(:cleanup, state) do
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new_state = perform_cleanup(state)
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schedule_cleanup(state.cleanup_interval)
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{:noreply, new_state}
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end
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## Private Implementation
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# Cache entry management
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defp store_cache_entry(key, value, opts, state) do
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ttl = Keyword.get(opts, :ttl, @default_ttl)
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strategy = Keyword.get(opts, :strategy, :time_based)
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volatility = Keyword.get(opts, :volatility, :medium)
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compress = Keyword.get(opts, :compress, should_compress?(value, state))
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dependencies = Keyword.get(opts, :dependencies, [])
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tags = Keyword.get(opts, :tags, [])
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# Calculate expiration
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expires_at = System.system_time(:millisecond) + ttl
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# Compress if needed
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stored_value =
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if compress do
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compress_value(value)
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else
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value
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end
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# Create cache entry
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cache_entry = %{
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key: key,
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value: stored_value,
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expires_at: expires_at,
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strategy: strategy,
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volatility: volatility,
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compressed: compress,
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dependencies: dependencies,
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tags: tags,
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created_at: System.system_time(:millisecond),
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access_count: 0,
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last_accessed: System.system_time(:millisecond)
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}
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# Check cache size limits
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if :ets.info(@cache_table, :size) >= state.max_size do
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evict_lru_entries(state)
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end
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# Store entry
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:ets.insert(@cache_table, {key, cache_entry})
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# Record dependencies
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Enum.each(dependencies, fn dep_key ->
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:ets.insert(@access_table, {dep_key, {:dependent, key}})
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end)
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:ok
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end
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defp retrieve_cache_entry(key, state) do
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case :ets.lookup(@cache_table, key) do
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[{^key, cache_entry}] ->
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current_time = System.system_time(:millisecond)
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if current_time <= cache_entry.expires_at do
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# Cache hit - update access stats
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updated_entry = %{
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cache_entry
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| access_count: cache_entry.access_count + 1,
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last_accessed: current_time
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}
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:ets.insert(@cache_table, {key, updated_entry})
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# Record access for adaptive TTL
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:ets.insert(@access_table, {key, {:access, current_time}})
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# Decompress if needed
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value =
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if cache_entry.compressed do
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decompress_value(cache_entry.value)
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else
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cache_entry.value
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end
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new_state = %{state | hit_count: state.hit_count + 1}
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{{:ok, value}, new_state}
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else
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# Expired - remove and return miss
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:ets.delete(@cache_table, key)
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new_state = %{state | miss_count: state.miss_count + 1}
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{:miss, new_state}
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end
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[] ->
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# Cache miss
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new_state = %{state | miss_count: state.miss_count + 1}
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{:miss, new_state}
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end
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end
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# Adaptive TTL calculation
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defp calculate_adaptive_ttl(key, base_ttl, volatility) do
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# Get historical access patterns
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access_pattern = analyze_access_pattern(key)
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# Adjust TTL based on volatility and access patterns
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volatility_multiplier =
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case volatility do
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:low -> 2.0
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:medium -> 1.0
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:high -> 0.5
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:extreme -> 0.1
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end
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access_multiplier =
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case access_pattern do
|
|
# Shorter TTL for frequently accessed data
|
|
:frequent -> 0.8
|
|
:normal -> 1.0
|
|
# Longer TTL for rarely accessed data
|
|
:rare -> 1.5
|
|
end
|
|
|
|
round(base_ttl * volatility_multiplier * access_multiplier)
|
|
end
|
|
|
|
defp analyze_access_pattern(key) do
|
|
current_time = System.system_time(:millisecond)
|
|
one_hour_ago = current_time - 3_600_000
|
|
|
|
recent_accesses =
|
|
:ets.select(@access_table, [
|
|
{{key, {:access, :"$1"}}, [{:>=, :"$1", one_hour_ago}], [:"$1"]}
|
|
])
|
|
|
|
access_count = length(recent_accesses)
|
|
|
|
cond do
|
|
access_count > 20 -> :frequent
|
|
access_count > 5 -> :normal
|
|
true -> :rare
|
|
end
|
|
end
|
|
|
|
# Compression
|
|
defp should_compress?(value, state) do
|
|
state.compression_enabled and
|
|
byte_size(:erlang.term_to_binary(value)) > @compression_threshold
|
|
end
|
|
|
|
defp compress_value(value) do
|
|
value
|
|
|> :erlang.term_to_binary()
|
|
|> :zlib.compress()
|
|
end
|
|
|
|
defp decompress_value(compressed_value) do
|
|
compressed_value
|
|
|> :zlib.uncompress()
|
|
|> :erlang.binary_to_term()
|
|
end
|
|
|
|
# Pattern matching and invalidation
|
|
defp invalidate_by_pattern(pattern) do
|
|
regex = pattern_to_regex(pattern)
|
|
|
|
matching_keys =
|
|
@cache_table
|
|
|> :ets.select([
|
|
{{:"$1", :_}, [], [:"$1"]}
|
|
])
|
|
|> Enum.filter(fn key ->
|
|
Regex.match?(regex, key)
|
|
end)
|
|
|
|
Enum.each(matching_keys, fn key ->
|
|
:ets.delete(@cache_table, key)
|
|
:ets.delete(@access_table, key)
|
|
end)
|
|
|
|
Logger.debug("Invalidated #{length(matching_keys)} cache entries matching pattern '#{pattern}'")
|
|
end
|
|
|
|
defp pattern_to_regex(pattern) do
|
|
escaped = Regex.escape(pattern)
|
|
regex_pattern = String.replace(escaped, "\\*", ".*")
|
|
Regex.compile!("^#{regex_pattern}$")
|
|
end
|
|
|
|
defp invalidate_entries_by_tag(tag) do
|
|
matching_entries =
|
|
@cache_table
|
|
|> :ets.select([
|
|
{{:"$1", %{tags: :"$2"}}, [], [{{:"$1", :"$2"}}]}
|
|
])
|
|
|> Enum.filter(fn {_key, tags} ->
|
|
tag in tags
|
|
end)
|
|
|
|
Enum.each(matching_entries, fn {key, _tags} ->
|
|
:ets.delete(@cache_table, key)
|
|
:ets.delete(@access_table, key)
|
|
end)
|
|
|
|
Logger.debug("Invalidated #{length(matching_entries)} cache entries with tag '#{tag}'")
|
|
end
|
|
|
|
# Cache warming
|
|
defp perform_cache_warming(device_id, oids, opts) do
|
|
strategy = Keyword.get(opts, :strategy, :immediate)
|
|
|
|
case {oids, strategy} do
|
|
{:auto, :predictive} ->
|
|
warm_predictive_cache(device_id)
|
|
|
|
{oid_list, :immediate} when is_list(oid_list) ->
|
|
warm_immediate_cache(device_id, oid_list)
|
|
|
|
{oid_list, :scheduled} when is_list(oid_list) ->
|
|
schedule_cache_warming(device_id, oid_list)
|
|
|
|
_ ->
|
|
Logger.warning("Invalid cache warming configuration")
|
|
end
|
|
end
|
|
|
|
defp warm_immediate_cache(device_id, oids) do
|
|
# This would perform actual SNMP queries to warm the cache
|
|
# For now, we'll just log the operation
|
|
Logger.debug("Warming cache for device #{device_id} with #{length(oids)} OIDs")
|
|
end
|
|
|
|
defp warm_predictive_cache(device_id) do
|
|
# Analyze historical access patterns to determine what to pre-load
|
|
Logger.debug("Performing predictive cache warming for device #{device_id}")
|
|
end
|
|
|
|
defp schedule_cache_warming(device_id, _oids) do
|
|
# Schedule cache warming for later execution
|
|
Logger.debug("Scheduled cache warming for device #{device_id}")
|
|
end
|
|
|
|
# Cleanup and eviction
|
|
defp perform_cleanup(state) do
|
|
current_time = System.system_time(:millisecond)
|
|
|
|
# Remove expired entries
|
|
expired_keys =
|
|
:ets.select(@cache_table, [
|
|
{{:"$1", %{expires_at: :"$2"}}, [{:<, :"$2", current_time}], [:"$1"]}
|
|
])
|
|
|
|
Enum.each(expired_keys, fn key ->
|
|
:ets.delete(@cache_table, key)
|
|
:ets.delete(@access_table, key)
|
|
end)
|
|
|
|
# Clean up old access records
|
|
# 1 hour
|
|
cleanup_threshold = current_time - 3_600_000
|
|
|
|
old_access_records =
|
|
:ets.select(@access_table, [
|
|
{{:_, {:access, :"$1"}}, [{:<, :"$1", cleanup_threshold}], [:"$_"]}
|
|
])
|
|
|
|
Enum.each(old_access_records, fn record ->
|
|
:ets.delete_object(@access_table, record)
|
|
end)
|
|
|
|
Logger.debug(
|
|
"Cache cleanup: removed #{length(expired_keys)} expired entries and #{length(old_access_records)} old access records"
|
|
)
|
|
|
|
%{state | last_cleanup: current_time}
|
|
end
|
|
|
|
defp evict_lru_entries(state) do
|
|
# Get least recently used entries
|
|
lru_entries =
|
|
@cache_table
|
|
|> :ets.select([
|
|
{{:"$1", %{last_accessed: :"$2"}}, [], [{{:"$1", :"$2"}}]}
|
|
])
|
|
|> Enum.sort_by(fn {_key, last_accessed} -> last_accessed end)
|
|
# Evict 10% of cache
|
|
|> Enum.take(div(state.max_size, 10))
|
|
|
|
Enum.each(lru_entries, fn {key, _last_accessed} ->
|
|
:ets.delete(@cache_table, key)
|
|
:ets.delete(@access_table, key)
|
|
end)
|
|
|
|
Logger.debug("Evicted #{length(lru_entries)} LRU cache entries")
|
|
end
|
|
|
|
# Statistics calculation
|
|
defp calculate_cache_stats(state) do
|
|
total_requests = state.hit_count + state.miss_count
|
|
hit_rate = if total_requests > 0, do: state.hit_count / total_requests, else: 0.0
|
|
miss_rate = if total_requests > 0, do: state.miss_count / total_requests, else: 0.0
|
|
|
|
cache_size = :ets.info(@cache_table, :size)
|
|
memory_words = :ets.info(@cache_table, :memory)
|
|
memory_mb = memory_words * :erlang.system_info(:wordsize) / (1024 * 1024)
|
|
|
|
# Calculate compression ratio
|
|
compressed_entries =
|
|
:ets.select(@cache_table, [
|
|
{{:_, %{compressed: true}}, [], [true]}
|
|
])
|
|
|
|
compression_ratio = if cache_size > 0, do: length(compressed_entries) / cache_size, else: 0.0
|
|
|
|
%{
|
|
total_entries: cache_size,
|
|
hit_rate: hit_rate,
|
|
miss_rate: miss_rate,
|
|
eviction_count: state.eviction_count,
|
|
memory_usage_mb: memory_mb,
|
|
compression_ratio: compression_ratio
|
|
}
|
|
end
|
|
|
|
# Scheduling
|
|
defp schedule_cleanup(interval) do
|
|
Process.send_after(self(), :cleanup, interval)
|
|
end
|
|
end
|