/// <summary>
/// 鍙栨湁搴忛泦鍚堢殑骞堕泦
/// </summary>
/// <param name="desKey"></param>
/// <param name="zSetKeys"></param>
/// <param name="aggregate"></param>
/// <param name="poolType"></param>
/// <returns></returns>
public static long ZUnionStore(string desKey, string[] zSetKeys, RedisAggregate aggregate, RedisPoolType poolType)
{
long rtn = 0;
PooledRedisClientManager pool = GetRedisPool(poolType);
IRedisClient redis = pool.GetReadOnlyClient();
try
{
if (zSetKeys == null || zSetKeys.Length == 0)
{
redis.Remove(desKey);
redis.AddItemToSortedSet(desKey, "-1", -1);
rtn = 0;
}
else
{
string[] args = new string[] { "AGGREGATE", aggregate.ToString() };
rtn = redis.StoreUnionFromSortedSets(desKey, zSetKeys, args);
}
}
catch { throw; }
finally
{
if (redis != null)
{
redis.Dispose();
}
}
return(rtn);
}
Task <long> ISortedSetCommands.IntersectAndStore(int db, string destination, string[] keys,
RedisAggregate aggregate, bool queueJump)
{
var parameters = new string[keys.Length + 3];
//prepend the number of keys and append the aggregate keyword and the aggregation type
parameters[0] = keys.Length.ToString();
keys.CopyTo(parameters, 1);
parameters[keys.Length + 1] = "AGGREGATE";
parameters[keys.Length + 2] = aggregate.ToString();
return(ExecuteInt64(RedisMessage.Create(db, RedisLiteral.ZINTERSTORE, destination, parameters), queueJump));
}
internal static Aggregate ToAggregate(this RedisAggregate aggregate)
{
switch (aggregate)
{
case RedisAggregate.Sum:
return(Aggregate.Sum);
case RedisAggregate.Max:
return(Aggregate.Max);
case RedisAggregate.Min:
return(Aggregate.Min);
default:
throw new Exception("RedisProxy 非法的聚合运算");
}
}
public long SortedSetCombineAndStore(RedisSetOperation operation, string desctination, string first, string second, RedisAggregate aggregate = RedisAggregate.Sum)
{
return(Db.SortedSetCombineAndStore(operation.ToSetOperation(), desctination, first, second, aggregate.ToAggregate()));
}
public Task <long> SortedSetCombineAndStoreAsync(RedisSetOperation operation, string desctination, string[] keys, double[] weights = null, RedisAggregate aggregate = RedisAggregate.Sum)
{
return(Db.SortedSetCombineAndStoreAsync(operation.ToSetOperation(), desctination, keys.ToRedisKeyArray(), weights, aggregate.ToAggregate()));
}
Task<long> ISortedSetCommands.UnionAndStore(int db, string destination, string[] keys, RedisAggregate aggregate,
bool queueJump)
{
var parameters = new string[keys.Length + 3];
//prepend the number of keys and append the aggregate keyword and the aggregation type
parameters[0] = keys.Length.ToString();
keys.CopyTo(parameters, 1);
parameters[keys.Length + 1] = "AGGREGATE";
parameters[keys.Length + 2] = aggregate.ToString();
return ExecuteInt64(RedisMessage.Create(db, RedisLiteral.ZUNIONSTORE, destination, parameters), queueJump);
}
/// <summary>
/// 计算给定的一个或多个有序集的权限值并集，并将该并集(结果集)储存到 <paramref name="destination"/> 。
/// </summary>
/// <param name="client">Redis 客户端。</param>
/// <param name="destination">目标有序集的键名。如果有序集已存在，则会覆盖。</param>
/// <param name="keyWeights">有序集键名和乘法因子的字典。</param>
/// <param name="aggregate">聚合的方式。</param>
/// <returns>保存到 <paramref name="destination"/> 的结果集的基数。</returns>
public static long ZUnionStore(this IRedisClient client, string destination, RedisWeightDictionary keyWeights, RedisAggregate? aggregate = null)
{
return ZStore("ZUNIONSTORE", client, destination, keyWeights, aggregate);
}
private static long ZStore(string command, IRedisClient client, string destination, RedisWeightDictionary keyWeights, RedisAggregate? aggregate)
{
if(client == null) throw new ArgumentNullException(nameof(client));
if(string.IsNullOrWhiteSpace(destination)) throw new ArgumentNullException(nameof(destination));
if(keyWeights == null) throw new ArgumentNullException(nameof(keyWeights));
if(keyWeights.Count == 0) return 0L;
IEnumerable<object> args = new object[] { destination, keyWeights.Count };
args = RedisArgs.ConcatAll(args, keyWeights.Keys);
if(keyWeights.Values.Where(weight => weight != 1.0).Count() > 0)
{
args = RedisArgs.ConcatAll(RedisArgs.ConcatLast(args, "WEIGHTS"), keyWeights.Values.Cast<object>());
}
if(aggregate.HasValue)
{
args = RedisArgs.ConcatLasts(args, "AGGREGATE", aggregate.Value.ToString().ToUpperInvariant());
}
return client.Execute(new RedisInteger(command, args.ToArray()));
}
public static CSRedis.RedisAggregate Convert(this RedisAggregate redisAggregate)
{
return((CSRedis.RedisAggregate)(int) redisAggregate);
}
/// <summary>
/// 计算给定的一个或多个有序集的交集，其中给定 key 的数量必须以 numkeys 参数指定，并将该交集(结果集)储存到 destination 。
/// 默认情况下，结果集中某个成员的 score 值是所有给定集下该成员 score 值之和.
/// 关于 WEIGHTS 和 AGGREGATE 选项的描述，参见 ZUNIONSTORE 命令
/// </summary>
/// <param name="destinationKey">目标键</param>
/// <param name="keyWeights">键与乘法因子</param>
/// <param name="aggregate">聚合方式</param>
/// <returns>保存到 destination 的结果集的基数</returns>
public int ZINTERSTORE(string destinationKey, IDictionary <string, double> keyWeights, RedisAggregate aggregate)
{
//ZINTERSTORE destination numkeys key [key ...] [WEIGHTS weight [weight ...]] [AGGREGATE SUM|MIN|MAX]
//Integer reply: the number of elements in the resulting sorted set at destination.
if (string.IsNullOrEmpty(destinationKey))
{
throw new ArgumentNullException("destinationKey");
}
if (keyWeights == null || keyWeights.Count == 0)
{
throw new ArgumentNullException("keyWeights");
}
//
var keys = new string[keyWeights.Count];
var weights = new double[keyWeights.Count];
var i = 0;
var e = keyWeights.GetEnumerator();
while (e.MoveNext())
{
keys[i] = e.Current.Key;
weights[i] = e.Current.Value;
i++;
}
//ZINTERSTORE destination numkeys key [key ...] [WEIGHTS weight [weight ...]] [AGGREGATE SUM|MIN|MAX]
using (var w = new RedisWriter(this.client, 6 + keyWeights.Count * 2, "ZINTERSTORE"))
{
w.WriteArgument(destinationKey);
w.WriteArgument(keyWeights.Count.ToString());
foreach (var key in keys)
{
w.WriteArgument(key);
}
w.WriteArgument("WEIGHTS");
foreach (var weight in weights)
{
w.WriteArgument(weight.ToString());
}
w.WriteArgument("AGGREGATE");
w.WriteArgument(aggregate.ToString());
this.connection.SendCommand(w);
}
return(this.connection.ExpectInt());
}
/// <summary>
/// 计算给定的一个或多个有序集的并集，其中给定 key 的数量必须以 numkeys 参数指定，并将该并集(结果集)储存到 destination 。
/// 默认情况下，结果集中某个成员的 score 值是所有给定集下该成员 score 值之 和 。
/// </summary>
/// <param name="destinationKey">目标键</param>
/// <param name="keyWeights">键与乘法因子</param>
/// <param name="aggregate">聚合方式</param>
/// <returns>保存到 destination 的结果集的基数</returns>
public int ZUNIONSTORE(string destinationKey, IDictionary <string, double> keyWeights, RedisAggregate aggregate)
{
//ZUNIONSTORE destination numkeys key [key ...] [WEIGHTS weight [weight ...]] [AGGREGATE SUM|MIN|MAX]
//Integer reply: the number of elements in the resulting sorted set at destination.
if (string.IsNullOrEmpty(destinationKey))
{
throw new ArgumentNullException("destinationKey");
}
if (keyWeights == null || keyWeights.Count == 0)
{
throw new ArgumentNullException("keyWeights");
}
//
var keys = new string[keyWeights.Count];
var weights = new double[keyWeights.Count];
var i = 0;
var e = keyWeights.GetEnumerator();
while (e.MoveNext())
{
keys[i] = e.Current.Key;
weights[i] = e.Current.Value;
i++;
}
//ZUNIONSTORE destination numkeys key [key ...] [WEIGHTS weight [weight ...]] [AGGREGATE SUM|MIN|MAX]
using (var w = new RedisWriter(this.client, 6 + keyWeights.Count * 2, "ZUNIONSTORE"))
{
w.WriteArgument(destinationKey);
w.WriteArgument(keyWeights.Count.ToString());
foreach (var key in keys)
{
w.WriteArgument(key);
}
w.WriteArgument("WEIGHTS");
foreach (var weight in weights)
{
w.WriteArgument(weight.ToString());
}
w.WriteArgument("AGGREGATE");
w.WriteArgument(aggregate.ToString());
this.connection.SendCommand(w);
}
return(this.connection.ExpectInt());
//示例
// redis> ZRANGE programmer 0 -1 WITHSCORES
//1) "peter"
//2) "2000"
//3) "jack"
//4) "3500"
//5) "tom"
//6) "5000"
//redis> ZRANGE manager 0 -1 WITHSCORES
//1) "herry"
//2) "2000"
//3) "mary"
//4) "3500"
//5) "bob"
//6) "4000"
//redis> ZUNIONSTORE salary 2 programmer manager WEIGHTS 1 3
//(integer) 6
//redis> ZRANGE salary 0 -1 WITHSCORES
//1) "peter"
//2) "2000"
//3) "jack"
//4) "3500"
//5) "tom"
//6) "5000"
//7) "herry"
//8) "6000"
//9) "mary"
//10) "10500"
//11) "bob"
//12) "12000"
}