本文整理汇总了C#中IRedisClient.SetEntryInHash方法的典型用法代码示例。如果您正苦于以下问题:C# IRedisClient.SetEntryInHash方法的具体用法?C# IRedisClient.SetEntryInHash怎么用?C# IRedisClient.SetEntryInHash使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类IRedisClient
的用法示例。
在下文中一共展示了IRedisClient.SetEntryInHash方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C#代码示例。
示例1: LoadDifferentKeyTypes
protected void LoadDifferentKeyTypes(IRedisClient redis)
{
int A = 'A';
int Z = 'Z';
var letters = (Z - A + 1).Times(i => ((char)(i + A)).ToString());
var numbers = new[] { "zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine" };
redis.RemoveEntry("list:letters", "list:numbers"); //don't add duplicates to existing list
letters.Each(x => redis.AddItemToList("list:letters", x));
numbers.Each(x => redis.AddItemToList("list:numbers", x));
letters.Each(x => redis.AddItemToSet("set:letters", x));
numbers.Each(x => redis.AddItemToSet("set:numbers", x));
var pos = 0;
letters.Each(x => redis.AddItemToSortedSet("zset:letters", x, pos++));
pos = 0;
numbers.Each(x => redis.AddItemToSortedSet("zset:numbers", x, pos++));
pos = 0;
letters.Each(x => redis.SetEntryInHash("hash:letters", x, (pos++).ToString()));
pos = 0;
numbers.Each(x => redis.SetEntryInHash("hash:numbers", x, (pos++).ToString()));
}
示例2: RequeueJobIfTimedOut
private bool RequeueJobIfTimedOut(IRedisClient redis, string jobId, string queue)
{
var flags = redis.GetValuesFromHash(
String.Format("hangfire:job:{0}", jobId),
"Fetched",
"Checked");
var fetched = flags[0];
var @checked = flags[1];
if (String.IsNullOrEmpty(fetched) && String.IsNullOrEmpty(@checked))
{
// If the job does not have these flags set, then it is
// in the implicit 'Fetched' state. This state has no
// information about the time it was fetched. So we
// can not do anything with the job in this state, because
// there are two options:
// 1. It is going to move to the implicit 'Fetched' state
// in a short time.
// 2. It will stay in the 'Fetched' state forever due to
// its processing server is dead.
// To ensure its server is dead, we'll move the job to
// the implicit 'Checked' state with the current timestamp
// and will not do anything else at this pass of the watcher.
// If job's state will still be 'Checked' on the later passes
// and after the CheckedTimeout expired, then the server
// is dead, and we'll re-queue the job.
redis.SetEntryInHash(
String.Format("hangfire:job:{0}", jobId),
"Checked",
JobHelper.ToStringTimestamp(DateTime.UtcNow));
// Checkpoint #1-2. The job is in the implicit 'Checked' state.
// It will be re-queued after the CheckedTimeout will be expired.
}
else
{
if (TimedOutByFetchedTime(fetched) || TimedOutByCheckedTime(fetched, @checked))
{
var stateMachine = new StateMachine(new RedisConnection(_storage, redis));
var state = new EnqueuedState{
Reason = "Re-queued due to time out"
};
stateMachine.TryToChangeState(
jobId,
state,
new [] { EnqueuedState.StateName, ProcessingState.StateName });
RedisConnection.RemoveFromFetchedList(redis, queue, jobId);
return true;
}
}
return false;
}