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陈益 2025-04-15 23:20:46 +08:00
parent b5f1f1f50b
commit 57123d653c
6 changed files with 491 additions and 140 deletions
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1
src/JiShe.CollectBus.Application/ScheduledMeterReading/BasicScheduledMeterReadingService.cs
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@ -21,7 +21,6 @@ using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Threading.Tasks;
using static FreeSql.Internal.GlobalFilter;
namespace JiShe.CollectBus.ScheduledMeterReading
{

7
src/JiShe.CollectBus.Common/Models/BusCacheGlobalPagedResult.cs
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@ -17,6 +17,11 @@ namespace JiShe.CollectBus.Common.Models
/// </summary>
public List<T> Items { get; set; }
/// <summary>
/// 总条数
/// </summary>
public long TotalCount { get; set; }
/// <summary>
/// 是否有下一页
/// </summary>
@ -25,7 +30,7 @@ namespace JiShe.CollectBus.Common.Models
/// <summary>
/// 下一页的分页索引
/// </summary>
public long? NextScore { get; set; }
public decimal? NextScore { get; set; }
/// <summary>
/// 下一页的分页索引

15
src/JiShe.CollectBus.Common/Models/BusPagedResult.cs
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@ -31,5 +31,20 @@ namespace JiShe.CollectBus.Common.Models
/// 数据集合
/// </summary>
public IEnumerable<T> Items { get; set; }
/// <summary>
/// 是否有下一页
/// </summary>
public bool HasNext { get; set; }
/// <summary>
/// 下一页的分页索引
/// </summary>
public decimal? NextScore { get; set; }
/// <summary>
/// 下一页的分页索引
/// </summary>
public string NextMember { get; set; }
}
}

4
src/JiShe.CollectBus.Common/Models/DeviceCacheBasicModel.cs
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@ -22,8 +22,8 @@ namespace JiShe.CollectBus.Common.Models
public int MeterId { get; set; }
/// <summary>
/// 唯一标识
/// 唯一标识，是redis ZSet和Set memberid
/// </summary>
public virtual string UniqueId => $"{FocusId}:{MeterId}";
public virtual string MemberID => $"{FocusId}:{MeterId}";
}
}

528
src/JiShe.CollectBus.FreeRedisProvider/FreeRedisProvider.cs
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@ -8,6 +8,7 @@ using System.Diagnostics;
using System.Text.Json;
using Volo.Abp.DependencyInjection;
using static System.Runtime.InteropServices.JavaScript.JSType;
using System.Collections.Concurrent;
namespace JiShe.CollectBus.FreeRedisProvider
{
@ -83,16 +84,16 @@ namespace JiShe.CollectBus.FreeRedisProvider
using (var trans = Instance.Multi())
{
// 主数据存储Hash
trans.HSet(redisCacheKey, data.UniqueId, data.Serialize());
trans.HSet(redisCacheKey, data.MemberID, data.Serialize());
// 分类索引
trans.SAdd(redisCacheFocusIndexKey, data.UniqueId);
trans.SAdd(redisCacheFocusIndexKey, data.MemberID);
// 排序索引使用ZSET
trans.ZAdd(redisCacheScoresIndexKey, scoreValue, data.UniqueId);
trans.ZAdd(redisCacheScoresIndexKey, scoreValue, data.MemberID);
//全局索引
trans.ZAdd(redisCacheGlobalIndexKey, globalScore, data.UniqueId);
trans.ZAdd(redisCacheGlobalIndexKey, globalScore, data.MemberID);
var results = trans.Exec();
@ -122,6 +123,16 @@ namespace JiShe.CollectBus.FreeRedisProvider
IEnumerable<T> items,
DateTimeOffset? timestamp = null) where T : DeviceCacheBasicModel
{
if (items == null
|| items.Count() <=0
|| string.IsNullOrWhiteSpace(redisCacheKey)
|| string.IsNullOrWhiteSpace(redisCacheFocusIndexKey)
|| string.IsNullOrWhiteSpace(redisCacheScoresIndexKey)
|| string.IsNullOrWhiteSpace(redisCacheGlobalIndexKey))
{
throw new ArgumentException($"{nameof(BatchAddMeterData)} 参数异常，-101");
}
const int BATCH_SIZE = 1000; // 每批1000条
var semaphore = new SemaphoreSlim(Environment.ProcessorCount * 2);
@ -144,16 +155,16 @@ namespace JiShe.CollectBus.FreeRedisProvider
long globalScore = actualTimestamp.ToUnixTimeMilliseconds();
// 主数据存储Hash
pipe.HSet(redisCacheKey, item.UniqueId, item.Serialize());
pipe.HSet(redisCacheKey, item.MemberID, item.Serialize());
// 分类索引
pipe.SAdd(redisCacheFocusIndexKey, item.UniqueId);
pipe.SAdd(redisCacheFocusIndexKey, item.MemberID);
// 排序索引使用ZSET
pipe.ZAdd(redisCacheScoresIndexKey, scoreValue, item.UniqueId);
pipe.ZAdd(redisCacheScoresIndexKey, scoreValue, item.MemberID);
//全局索引
pipe.ZAdd(redisCacheGlobalIndexKey, globalScore, item.UniqueId);
pipe.ZAdd(redisCacheGlobalIndexKey, globalScore, item.MemberID);
}
pipe.EndPipe();
}
@ -164,29 +175,108 @@ namespace JiShe.CollectBus.FreeRedisProvider
await Task.CompletedTask;
}
/// <summary>
/// 删除指定redis缓存key的缓存数据
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="redisCacheKey">主数据存储Hash缓存Key</param>
/// <param name="redisCacheFocusIndexKey">集中器索引Set缓存Key</param>
/// <param name="redisCacheScoresIndexKey">集中器排序索引ZSET缓存Key</param>
/// <param name="redisCacheGlobalIndexKey">集中器采集频率分组全局索引ZSet缓存Key</param>
/// <param name="data">表计信息</param>
/// <returns></returns>
public async Task RemoveMeterData<T>(
string redisCacheKey,
string redisCacheFocusIndexKey,
string redisCacheScoresIndexKey,
string redisCacheGlobalIndexKey,
T data) where T : DeviceCacheBasicModel
{
if (data == null
|| string.IsNullOrWhiteSpace(redisCacheKey)
|| string.IsNullOrWhiteSpace(redisCacheFocusIndexKey)
|| string.IsNullOrWhiteSpace(redisCacheScoresIndexKey)
|| string.IsNullOrWhiteSpace(redisCacheGlobalIndexKey))
{
throw new ArgumentException($"{nameof(RemoveMeterData)} 参数异常，-101");
}
const string luaScript = @"
local mainKey = KEYS[1]
local focusIndexKey = KEYS[2]
local scoresIndexKey = KEYS[3]
local globalIndexKey = KEYS[4]
local member = ARGV[1]
local deleted = 0
if redis.call('HDEL', mainKey, member) > 0 then
deleted = 1
end
redis.call('SREM', focusIndexKey, member)
redis.call('ZREM', scoresIndexKey, member)
redis.call('ZREM', globalIndexKey, member)
return deleted
";
var keys = new[]
{
redisCacheKey,
redisCacheFocusIndexKey,
redisCacheScoresIndexKey,
redisCacheGlobalIndexKey
};
var result = await Instance.EvalAsync(luaScript, keys, new[] { data.MemberID });
if ((int)result == 0)
throw new KeyNotFoundException("指定数据不存在");
}
/// <summary>
/// 修改表计缓存信息
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="redisCacheKey">主数据存储Hash缓存Key</param>
/// <param name="oldRedisCacheFocusIndexKey">旧集中器索引Set缓存Key</param>
/// <param name="newRedisCacheFocusIndexKey">新集中器索引Set缓存Key</param>
/// <param name="redisCacheScoresIndexKey">集中器排序索引ZSET缓存Key</param>
/// <param name="redisCacheGlobalIndexKey">集中器采集频率分组全局索引ZSet缓存Key</param>
/// <param name="newData">表计信息</param>
/// <param name="newTimestamp">可选时间戳</param>
/// <returns></returns>
public async Task UpdateMeterData<T>(
string redisCacheKey,
string oldCategoryIndexKey,
string newCategoryIndexKey,
string memberId, // 唯一标识（格式："分类ID:GUID"）
string oldRedisCacheFocusIndexKey,
string newRedisCacheFocusIndexKey,
string redisCacheScoresIndexKey,
string redisCacheGlobalIndexKey,
T newData,
int? newCategoryId = null,
DateTimeOffset? newTimestamp = null)
DateTimeOffset? newTimestamp = null) where T : DeviceCacheBasicModel
{
// 参数校验
if (string.IsNullOrWhiteSpace(memberId))
throw new ArgumentException("Invalid member ID");
if (newData == null
|| string.IsNullOrWhiteSpace(redisCacheKey)
|| string.IsNullOrWhiteSpace(oldRedisCacheFocusIndexKey)
|| string.IsNullOrWhiteSpace(newRedisCacheFocusIndexKey)
|| string.IsNullOrWhiteSpace(redisCacheScoresIndexKey)
|| string.IsNullOrWhiteSpace(redisCacheGlobalIndexKey))
{
throw new ArgumentException($"{nameof(UpdateMeterData)} 参数异常，-101");
}
var luaScript = @"
local mainKey = KEYS[1]
local scoreKey = KEYS[2]
local oldIndex = KEYS[3]
local newIndex = KEYS[4]
local oldFocusIndexKey = KEYS[2]
local newFocusIndexKey = KEYS[3]
local scoresIndexKey = KEYS[4]
local globalIndexKey = KEYS[5]
local member = ARGV[1]
local newData = ARGV[2]
local newScore = ARGV[3]
local newGlobalScore = ARGV[4]
-- 校验旧数据是否存在
-- 校验存在性
if redis.call('HEXISTS', mainKey, member) == 0 then
return 0
end
@ -194,70 +284,67 @@ namespace JiShe.CollectBus.FreeRedisProvider
-- 更新主数据
redis.call('HSET', mainKey, member, newData)
-- 处理分类变更
-- 处理变更
if newScore ~= '' then
-- 删除旧索引
redis.call('SREM', oldIndex, member)
-- 更新排序分数
redis.call('ZADD', scoreKey, newScore, member)
redis.call('SREM', oldFocusIndexKey, member)
redis.call('ZREM', scoresIndexKey, member)
-- 添加新索引
redis.call('SADD', newIndex, member)
redis.call('SADD', newFocusIndexKey, member)
redis.call('ZADD', scoresIndexKey, newScore, member)
end
-- 更新全局索引
if newGlobalScore ~= '' then
-- 删除旧索引
redis.call('ZREM', globalIndexKey, member)
-- 添加新索引
redis.call('ZADD', globalIndexKey, newGlobalScore, member)
end
return 1
";
// 计算新score（当分类或时间变化时）
long? newScoreValue = null;
if (newCategoryId.HasValue || newTimestamp.HasValue)
{
var parts = memberId.Split(':');
var oldCategoryId = int.Parse(parts[0]);
var actualCategoryId = newCategoryId ?? oldCategoryId;
var actualTimestamp = newTimestamp ?? DateTimeOffset.UtcNow;
newScoreValue = ((long)actualCategoryId << 32) | (uint)actualTimestamp.Ticks;
}
var newGlobalScore = actualTimestamp.ToUnixTimeMilliseconds();
var newScoreValue = ((long)newData.FocusId << 32) | (uint)actualTimestamp.Ticks;
var result = await Instance.EvalAsync(luaScript,
new[]
{
redisCacheKey,
$"{redisCacheKey}_scores",
oldCategoryIndexKey,
newCategoryIndexKey
oldRedisCacheFocusIndexKey,
newRedisCacheFocusIndexKey,
redisCacheScoresIndexKey,
redisCacheGlobalIndexKey
},
new[]
new object[]
{
memberId,
newData.MemberID,
newData.Serialize(),
newScoreValue?.ToString() ?? ""
newScoreValue.ToString() ?? "",
newGlobalScore.ToString() ?? ""
});
// 如果时间戳变化则更新全局索引
if (newTimestamp.HasValue)
{
long newGlobalScore = newTimestamp.Value.ToUnixTimeMilliseconds();
await Instance.ZAddAsync("global_data_all", newGlobalScore, memberId);
}
if ((int)result == 0)
throw new KeyNotFoundException("指定数据不存在");
{
throw new KeyNotFoundException($"{nameof(UpdateMeterData)}指定Key{redisCacheKey}的数据不存在");
}
}
public async Task<BusPagedResult<T>> GetMeterZSetPagedData<T>(
public async Task<BusPagedResult<T>> SingleGetMeterPagedData<T>(
string redisCacheKey,
string redisCacheIndexKey,
int categoryId,
string redisCacheScoresIndexKey,
int focusId,
int pageSize = 10,
int pageIndex = 1,
bool descending = true)
{
// 计算score范围
long minScore = (long)categoryId << 32;
long maxScore = ((long)categoryId + 1) << 32;
long minScore = (long)focusId << 32;
long maxScore = ((long)focusId + 1) << 32;
// 分页参数计算
int start = (pageIndex - 1) * pageSize;
@ -265,13 +352,13 @@ namespace JiShe.CollectBus.FreeRedisProvider
// 获取排序后的member列表
var members = descending
? await Instance.ZRevRangeByScoreAsync(
$"{redisCacheKey}_scores",
redisCacheScoresIndexKey,
maxScore,
minScore,
start,
pageSize)
: await Instance.ZRangeByScoreAsync(
$"{redisCacheKey}_scores",
redisCacheScoresIndexKey,
minScore,
maxScore,
start,
@ -284,7 +371,7 @@ namespace JiShe.CollectBus.FreeRedisProvider
// 总数统计优化
var total = await Instance.ZCountAsync(
$"{redisCacheKey}_scores",
redisCacheScoresIndexKey,
minScore,
maxScore);
@ -298,105 +385,290 @@ namespace JiShe.CollectBus.FreeRedisProvider
}
public async Task RemoveMeterZSetData<T>(
string redisCacheKey,
string redisCacheIndexKey,
string uniqueId) // 改为基于唯一标识删除
{
// 原子操作
var luaScript = @"
local mainKey = KEYS[1]
local scoreKey = KEYS[2]
local indexKey = KEYS[3]
local member = ARGV[1]
redis.call('HDEL', mainKey, member)
redis.call('ZREM', scoreKey, member)
redis.call('SREM', indexKey, member)
return 1
";
var keys = new[]
{
redisCacheKey,
$"{redisCacheKey}_scores",
redisCacheIndexKey
};
var result = await Instance.EvalAsync(luaScript,
keys,
new[] { uniqueId });
if ((int)result != 1)
throw new Exception("删除操作失败");
}
public async Task<BusCacheGlobalPagedResult<T>> GetGlobalPagedData<T>(
public async Task<BusPagedResult<T>> GetFocusPagedData<T>(
string redisCacheKey,
string redisCacheScoresIndexKey,
int focusId,
int pageSize = 10,
long? lastScore = null,
string lastMember = null,
bool descending = true)
bool descending = true) where T : DeviceCacheBasicModel
{
const string zsetKey = "global_data_all";
// 分页参数处理
var (startScore, excludeMember) = descending
? (lastScore ?? long.MaxValue, lastMember)
: (lastScore ?? 0, lastMember);
// 计算分数范围
long minScore = (long)focusId << 32;
long maxScore = ((long)focusId + 1) << 32;
// 获取成员列表
string[] members;
if (descending)
var members = await GetSortedMembers(
redisCacheScoresIndexKey,
minScore,
maxScore,
pageSize,
lastScore,
lastMember,
descending);
// 批量获取数据
var dataDict = await Instance.HMGetAsync<T>(redisCacheKey, members.CurrentItems);
return new BusPagedResult<T>
{
members = await Instance.ZRevRangeByScoreAsync(
Items = dataDict,
TotalCount = await GetTotalCount(redisCacheScoresIndexKey, minScore, maxScore),
HasNext = members.HasNext,
NextScore = members.NextScore,
NextMember = members.NextMember
};
}
private async Task<(string[] CurrentItems, bool HasNext, decimal? NextScore, string NextMember)>
GetSortedMembers(
string zsetKey,
long minScore,
long maxScore,
int pageSize,
long? lastScore,
string lastMember,
bool descending)
{
var querySize = pageSize + 1;
var (startScore, exclude) = descending
? (lastScore ?? maxScore, lastMember)
: (lastScore ?? minScore, lastMember);
var members = descending
? await Instance.ZRevRangeByScoreAsync(
zsetKey,
max: startScore,
min: 0,
min: minScore,
offset: 0,
count: pageSize + 1);
}
else
{
members = await Instance.ZRangeByScoreAsync(
count: querySize)
: await Instance.ZRangeByScoreAsync(
zsetKey,
min: startScore,
max: long.MaxValue,
max: maxScore,
offset: 0,
count: pageSize + 1);
count: querySize);
var hasNext = members.Length > pageSize;
var currentItems = members.Take(pageSize).ToArray();
var nextCursor = currentItems.Any()
? await GetNextCursor(zsetKey, currentItems.Last(), descending)
: (null, null);
return (currentItems, hasNext, nextCursor.score, nextCursor.member);
}
// 处理分页结果
bool hasNext = members.Length > pageSize;
var actualMembers = members.Take(pageSize).ToArray();
private async Task<long> GetTotalCount(string zsetKey, long min, long max)
{
// 缓存计数优化
var cacheKey = $"{zsetKey}_count_{min}_{max}";
var cached = await Instance.GetAsync<long?>(cacheKey);
// 批量获取数据（优化版本）
var dataTasks = actualMembers
.Select(m => Instance.HGetAsync<T>(redisCacheKey, m))
.ToArray();
await Task.WhenAll(dataTasks);
if (cached.HasValue)
return cached.Value;
var count = await Instance.ZCountAsync(zsetKey, min, max);
await Instance.SetExAsync(cacheKey, 60, count); // 缓存60秒
return count;
}
public async Task<Dictionary<int, BusPagedResult<T>>> BatchGetMeterPagedData<T>(
string redisCacheKey,
string redisCacheScoresIndexKey,
IEnumerable<int> focusIds,
int pageSizePerFocus = 10) where T : DeviceCacheBasicModel
{
var results = new ConcurrentDictionary<int, BusPagedResult<T>>();
var parallelOptions = new ParallelOptions
{
MaxDegreeOfParallelism = Environment.ProcessorCount * 2
};
await Parallel.ForEachAsync(focusIds, parallelOptions, async (focusId, _) =>
{
var data = await SingleGetMeterPagedData<T>(
redisCacheKey,
redisCacheScoresIndexKey,
focusId,
pageSizePerFocus);
results.TryAdd(focusId, data);
});
return new Dictionary<int, BusPagedResult<T>>(results);
}
/// <summary>
/// 通过全局索引分页查询表计缓存数据
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="redisCacheKey">主数据存储Hash缓存Key</param>
/// <param name="redisCacheGlobalIndexKey">集中器采集频率分组全局索引ZSet缓存Key</param>
/// <param name="pageSize">分页尺寸</param>
/// <param name="lastScore">最后一个索引</param>
/// <param name="lastMember">最后一个唯一标识</param>
/// <param name="descending">排序方式</param>
/// <returns></returns>
public async Task<BusCacheGlobalPagedResult<T>> GetGlobalPagedData<T>(
string redisCacheKey,
string redisCacheGlobalIndexKey,
int pageSize = 10,
decimal? lastScore = null,
string lastMember = null,
bool descending = true)
where T : DeviceCacheBasicModel
{
// 参数校验增强
if (string.IsNullOrWhiteSpace(redisCacheKey) || string.IsNullOrWhiteSpace(redisCacheGlobalIndexKey))
{
throw new ArgumentException($"{nameof(GetGlobalPagedData)} 参数异常，-101");
}
if (pageSize < 1 || pageSize > 1000)
{
throw new ArgumentException($"{nameof(GetGlobalPagedData)} 分页大小应在1-1000之间，-102");
}
// 分页参数解析
var (startScore, excludeMember) = descending
? (lastScore ?? decimal.MaxValue, lastMember)
: (lastScore ?? 0, lastMember);
// 游标分页查询
var (members, hasNext) = await GetPagedMembers(
redisCacheGlobalIndexKey,
pageSize,
startScore,
excludeMember,
descending);
// 批量获取数据（优化内存分配）
var dataDict = await BatchGetData<T>(redisCacheKey, members);
// 获取下一页游标
(long? nextScore, string nextMember) = actualMembers.Any()
? await GetNextCursor(zsetKey, actualMembers.Last(), descending)
var nextCursor = members.Any()
? await GetNextCursor(redisCacheGlobalIndexKey, members.Last(), descending)
: (null, null);
return new BusCacheGlobalPagedResult<T>
{
Items = dataTasks.Select(t => t.Result).ToList(),
Items = members.Select(m => dataDict.TryGetValue(m, out var v) ? v : default)
.Where(x => x != null).ToList(),
HasNext = hasNext,
NextScore = nextScore,
NextMember = nextMember
NextScore = nextCursor.score,
NextMember = nextCursor.member
};
}
private async Task<(long? score, string member)> GetNextCursor(
string zsetKey,
/// <summary>
/// 游标分页查询
/// </summary>
/// <param name="redisCacheGlobalIndexKey"></param>
/// <param name="pageSize">分页数量</param>
/// <param name="startScore">开始索引</param>
/// <param name="excludeMember">开始唯一标识</param>
/// <param name="descending">排序方式</param>
/// <returns></returns>
private async Task<(List<string> Members, bool HasNext)> GetPagedMembers(
string redisCacheGlobalIndexKey,
int pageSize,
decimal? startScore,
string excludeMember,
bool descending)
{
const int bufferSize = 50; // 预读缓冲区大小
// 使用流式分页（避免OFFSET性能问题）
var members = new List<string>(pageSize + 1);
decimal? currentScore = startScore;
string lastMember = excludeMember;
while (members.Count < pageSize + 1 && currentScore.HasValue)
{
var querySize = Math.Min(bufferSize, pageSize + 1 - members.Count);
var batch = descending
? await Instance.ZRevRangeByScoreAsync(
redisCacheGlobalIndexKey,
max: currentScore.Value,
min: 0,
offset: 0,
count: querySize
)
: await Instance.ZRangeByScoreAsync(
redisCacheGlobalIndexKey,
min: currentScore.Value,
max: long.MaxValue,
offset: 0,
count: querySize);
if (!batch.Any()) break;
members.AddRange(batch);
lastMember = batch.LastOrDefault();
currentScore = await Instance.ZScoreAsync(redisCacheGlobalIndexKey, lastMember);
}
return (
members.Take(pageSize).ToList(),
members.Count > pageSize
);
}
/// <summary>
/// 批量获取指定分页的数据
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="hashKey"></param>
/// <param name="members"></param>
/// <returns></returns>
private async Task<Dictionary<string, T>> BatchGetData<T>(
string hashKey,
IEnumerable<string> members)
where T : DeviceCacheBasicModel
{
const int batchSize = 100;
var result = new Dictionary<string, T>();
foreach (var batch in members.Batch(batchSize))
{
var batchArray = batch.ToArray();
var values = await Instance.HMGetAsync<T>(hashKey, batchArray);
for (int i = 0; i < batchArray.Length; i++)
{
if (EqualityComparer<T>.Default.Equals(values[i], default)) continue;
result[batchArray[i]] = values[i];
}
}
return result;
}
/// <summary>
/// 获取下一页游标
/// </summary>
/// <param name="redisCacheGlobalIndexKey">全局索引Key</param>
/// <param name="lastMember">最后一个唯一标识</param>
/// <param name="descending">排序方式</param>
/// <returns></returns>
private async Task<(decimal? score, string member)> GetNextCursor(
string redisCacheGlobalIndexKey,
string lastMember,
bool descending)
{
var score = await Instance.ZScoreAsync(zsetKey, lastMember);
return (score.HasValue ? (long)score.Value : null, lastMember);
if (string.IsNullOrWhiteSpace(lastMember))
{
return (null, null);
}
var score = await Instance.ZScoreAsync(redisCacheGlobalIndexKey, lastMember);
return score.HasValue
? (Convert.ToInt64(score.Value), lastMember)
: (null, null);
}
}
}

60
src/JiShe.CollectBus.FreeRedisProvider/IFreeRedisProvider.cs
View File

@ -48,6 +48,66 @@ namespace JiShe.CollectBus.FreeRedisProvider
string redisCacheGlobalIndexKey,
IEnumerable<T> items,
DateTimeOffset? timestamp = null) where T : DeviceCacheBasicModel;
/// <summary>
/// 删除指定redis缓存key的缓存数据
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="redisCacheKey">主数据存储Hash缓存Key</param>
/// <param name="redisCacheFocusIndexKey">集中器索引Set缓存Key</param>
/// <param name="redisCacheScoresIndexKey">集中器排序索引ZSET缓存Key</param>
/// <param name="redisCacheGlobalIndexKey">集中器采集频率分组全局索引ZSet缓存Key</param>
/// <param name="data">表计信息</param>
/// <returns></returns>
Task RemoveMeterData<T>(
string redisCacheKey,
string redisCacheFocusIndexKey,
string redisCacheScoresIndexKey,
string redisCacheGlobalIndexKey,
T data) where T : DeviceCacheBasicModel;
/// <summary>
/// 修改表计缓存信息
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="redisCacheKey">主数据存储Hash缓存Key</param>
/// <param name="oldRedisCacheFocusIndexKey">旧集中器索引Set缓存Key</param>
/// <param name="newRedisCacheFocusIndexKey">新集中器索引Set缓存Key</param>
/// <param name="redisCacheScoresIndexKey">集中器排序索引ZSET缓存Key</param>
/// <param name="redisCacheGlobalIndexKey">集中器采集频率分组全局索引ZSet缓存Key</param>
/// <param name="newData">表计信息</param>
/// <param name="newTimestamp">可选时间戳</param>
/// <returns></returns>
Task UpdateMeterData<T>(
string redisCacheKey,
string oldRedisCacheFocusIndexKey,
string newRedisCacheFocusIndexKey,
string redisCacheScoresIndexKey,
string redisCacheGlobalIndexKey,
T newData,
DateTimeOffset? newTimestamp = null) where T : DeviceCacheBasicModel;
/// <summary>
/// 通过全局索引分页查询表计缓存数据
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="redisCacheKey">主数据存储Hash缓存Key</param>
/// <param name="redisCacheGlobalIndexKey">集中器采集频率分组全局索引ZSet缓存Key</param>
/// <param name="pageSize">分页尺寸</param>
/// <param name="lastScore">最后一个索引</param>
/// <param name="lastMember">最后一个唯一标识</param>
/// <param name="descending">排序方式</param>
/// <returns></returns>
Task<BusCacheGlobalPagedResult<T>> GetGlobalPagedData<T>(
string redisCacheKey,
string redisCacheGlobalIndexKey,
int pageSize = 10,
decimal? lastScore = null,
string lastMember = null,
bool descending = true)
where T : DeviceCacheBasicModel;
}
}