Interface ReactiveTimeSeriesCommands<K>
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- Type Parameters:
K
- the type of the key
- All Superinterfaces:
ReactiveRedisCommands
- All Known Implementing Classes:
ReactiveTimeSeriesCommandsImpl
@Experimental("The commands from the time series group are experimental") public interface ReactiveTimeSeriesCommands<K> extends ReactiveRedisCommands
Allows executing commands from thetime series
group (requires the Redis Time Series module from Redis stack). See the time series command list for further information about these commands.
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description io.smallrye.mutiny.Uni<Void>
tsAdd(K key, double value)
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
tsAdd(K key, long timestamp, double value)
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
tsAdd(K key, long timestamp, double value, AddArgs args)
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
tsAlter(K key, AlterArgs args)
Execute the command TS.ALTER.io.smallrye.mutiny.Uni<Void>
tsCreate(K key)
Execute the command TS.CREATE.io.smallrye.mutiny.Uni<Void>
tsCreate(K key, CreateArgs args)
Execute the command TS.CREATE.io.smallrye.mutiny.Uni<Void>
tsCreateRule(K key, K destKey, Aggregation aggregation, Duration bucketDuration)
Execute the command TS.CREATERULE.io.smallrye.mutiny.Uni<Void>
tsCreateRule(K key, K destKey, Aggregation aggregation, Duration bucketDuration, long alignTimestamp)
Execute the command TS.CREATERULE.io.smallrye.mutiny.Uni<Void>
tsDecrBy(K key, double value)
Execute the command TS.DECRBY.io.smallrye.mutiny.Uni<Void>
tsDecrBy(K key, double value, IncrementArgs args)
Execute the command TS.DECRBY.io.smallrye.mutiny.Uni<Void>
tsDel(K key, long fromTimestamp, long toTimestamp)
Execute the command TS.DEL.io.smallrye.mutiny.Uni<Void>
tsDeleteRule(K key, K destKey)
Execute the command TS.DELETERULE.io.smallrye.mutiny.Uni<Sample>
tsGet(K key)
Execute the command TS.GET.io.smallrye.mutiny.Uni<Sample>
tsGet(K key, boolean latest)
Execute the command TS.GET.io.smallrye.mutiny.Uni<Void>
tsIncrBy(K key, double value)
Execute the command TS.INCRBY.io.smallrye.mutiny.Uni<Void>
tsIncrBy(K key, double value, IncrementArgs args)
Execute the command TS.INCRBY.io.smallrye.mutiny.Uni<Void>
tsMAdd(SeriesSample<K>... samples)
Execute the command TS.MADD.io.smallrye.mutiny.Uni<Map<String,SampleGroup>>
tsMGet(Filter... filters)
Execute the command TS.MGET.io.smallrye.mutiny.Uni<Map<String,SampleGroup>>
tsMGet(MGetArgs args, Filter... filters)
Execute the command TS.MGET.io.smallrye.mutiny.Uni<Map<String,SampleGroup>>
tsMRange(TimeSeriesRange range, Filter... filters)
Execute the command TS.MRANGE.io.smallrye.mutiny.Uni<Map<String,SampleGroup>>
tsMRange(TimeSeriesRange range, MRangeArgs args, Filter... filters)
Execute the command TS.MRANGE.io.smallrye.mutiny.Uni<Map<String,SampleGroup>>
tsMRevRange(TimeSeriesRange range, Filter... filters)
Execute the command TS.MREVRANGE.io.smallrye.mutiny.Uni<Map<String,SampleGroup>>
tsMRevRange(TimeSeriesRange range, MRangeArgs args, Filter... filters)
Execute the command TS.MREVRANGE.io.smallrye.mutiny.Uni<List<K>>
tsQueryIndex(Filter... filters)
Execute the command TS.QUERYINDEX.io.smallrye.mutiny.Uni<List<Sample>>
tsRange(K key, TimeSeriesRange range)
Execute the command TS.RANGE.io.smallrye.mutiny.Uni<List<Sample>>
tsRange(K key, TimeSeriesRange range, RangeArgs args)
Execute the command TS.RANGE.io.smallrye.mutiny.Uni<List<Sample>>
tsRevRange(K key, TimeSeriesRange range)
Execute the command TS.REVRANGE.io.smallrye.mutiny.Uni<List<Sample>>
tsRevRange(K key, TimeSeriesRange range, RangeArgs args)
Execute the command TS.REVRANGE.-
Methods inherited from interface io.quarkus.redis.datasource.ReactiveRedisCommands
getDataSource
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Method Detail
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tsCreate
io.smallrye.mutiny.Uni<Void> tsCreate(K key, CreateArgs args)
Execute the command TS.CREATE. Summary: Create a new time series Group: time series- Parameters:
key
- the key name for the time series must not benull
args
- the creation arguments.- Returns:
- A uni emitting
null
when the operation completes
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tsCreate
io.smallrye.mutiny.Uni<Void> tsCreate(K key)
Execute the command TS.CREATE. Summary: Create a new time series Group: time series- Parameters:
key
- the key name for the time series must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsAdd
io.smallrye.mutiny.Uni<Void> tsAdd(K key, long timestamp, double value, AddArgs args)
Execute the command TS.ADD. Summary: Append a sample to a time series Group: time series- Parameters:
key
- the key name for the time series must not benull
timestamp
- the (long) UNIX sample timestamp in milliseconds or-1
to set the timestamp according to the server clock.value
- the numeric data value of the sample.args
- the creation arguments.- Returns:
- A uni emitting
null
when the operation completes
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tsAdd
io.smallrye.mutiny.Uni<Void> tsAdd(K key, long timestamp, double value)
Execute the command TS.ADD. Summary: Append a sample to a time series Group: time series- Parameters:
key
- the key name for the time series, must not benull
timestamp
- the (long) UNIX sample timestamp in millisecondsvalue
- the numeric data value of the sample- Returns:
- A uni emitting
null
when the operation completes
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tsAdd
io.smallrye.mutiny.Uni<Void> tsAdd(K key, double value)
Execute the command TS.ADD. Summary: Append a sample to a time series Group: time seriesUnlike
tsAdd(Object, long, double)
, set the timestamp according to the server clock.- Parameters:
key
- the key name for the time series. must not benull
value
- the numeric data value of the sample, must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsAlter
io.smallrye.mutiny.Uni<Void> tsAlter(K key, AlterArgs args)
Execute the command TS.ALTER. Summary: Update the retention, chunk size, duplicate policy, and labels of an existing time series Group: time series- Parameters:
key
- the key name for the time series, must not benull
args
- the alter parameters, must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsCreateRule
io.smallrye.mutiny.Uni<Void> tsCreateRule(K key, K destKey, Aggregation aggregation, Duration bucketDuration)
Execute the command TS.CREATERULE. Summary: Create a compaction rule Group: time series- Parameters:
key
- the key name for the time series, must not benull
destKey
- the key name for destination (compacted) time series. It must be created before TS.CREATERULE is called. Must not benull
.aggregation
- the aggregation function, must not benull
bucketDuration
- the duration of each bucket, must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsCreateRule
io.smallrye.mutiny.Uni<Void> tsCreateRule(K key, K destKey, Aggregation aggregation, Duration bucketDuration, long alignTimestamp)
Execute the command TS.CREATERULE. Summary: Create a compaction rule Group: time series- Parameters:
key
- the key name for the time series, must not benull
destKey
- the key name for destination (compacted) time series. It must be created before TS.CREATERULE is called. Must not benull
.aggregation
- the aggregation function, must not benull
bucketDuration
- the duration of each bucket, must not benull
alignTimestamp
- when set, ensures that there is a bucket that starts exactly at alignTimestamp and aligns all other buckets accordingly. It is expressed in milliseconds. The default value is 0 aligned with the epoch. For example, if bucketDuration is 24 hours (24 * 3600 * 1000), setting alignTimestamp to 6 hours after the epoch (6 * 3600 * 1000) ensures that each bucket’s timeframe is [06:00 .. 06:00).- Returns:
- A uni emitting
null
when the operation completes
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tsDecrBy
io.smallrye.mutiny.Uni<Void> tsDecrBy(K key, double value)
Execute the command TS.DECRBY. Summary: Decrease the value of the sample with the maximum existing timestamp, or create a new sample with a value equal to the value of the sample with the maximum existing timestamp with a given decrement Group: time series- Parameters:
key
- the key name for the time series. must not benull
value
- the numeric data value of the sample, must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsDecrBy
io.smallrye.mutiny.Uni<Void> tsDecrBy(K key, double value, IncrementArgs args)
Execute the command TS.DECRBY. Summary: Decrease the value of the sample with the maximum existing timestamp, or create a new sample with a value equal to the value of the sample with the maximum existing timestamp with a given decrement Group: time series- Parameters:
key
- the key name for the time series. must not benull
value
- the numeric data value of the sample, must not benull
args
- the extra command parameters- Returns:
- A uni emitting
null
when the operation completes
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tsDel
io.smallrye.mutiny.Uni<Void> tsDel(K key, long fromTimestamp, long toTimestamp)
Execute the command TS.DEL. Summary: Delete all samples between two timestamps for a given time series Group: time seriesThe given timestamp interval is closed (inclusive), meaning that samples whose timestamp equals the fromTimestamp or toTimestamp are also deleted.
- Parameters:
key
- the key name for the time series. must not benull
fromTimestamp
- the start timestamp for the range deletion.toTimestamp
- the end timestamp for the range deletion.- Returns:
- A uni emitting
null
when the operation completes
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tsDeleteRule
io.smallrye.mutiny.Uni<Void> tsDeleteRule(K key, K destKey)
Execute the command TS.DELETERULE. Summary: Delete a compaction rule Group: time series- Parameters:
key
- the key name for the time series. must not benull
destKey
- the key name for destination (compacted) time series. Note that the command does not delete the compacted series. Must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsGet
io.smallrye.mutiny.Uni<Sample> tsGet(K key)
Execute the command TS.GET. Summary: Get the last sample Group: time series- Parameters:
key
- the key name for the time series. must not benull
- Returns:
- A uni emitting a
Sample
, i.e. a couple containing the timestamp and the value.
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tsGet
io.smallrye.mutiny.Uni<Sample> tsGet(K key, boolean latest)
Execute the command TS.GET. Summary: Get the last sample Group: time series- Parameters:
key
- the key name for the time series. must not benull
latest
- used when a time series is a compaction. With LATEST set totrue
, TS.MRANGE also reports the compacted value of the latest possibly partial bucket, given that this bucket's start time falls within [fromTimestamp, toTimestamp]. Without LATEST, TS.MRANGE does not report the latest possibly partial bucket. When a time series is not a compaction, LATEST is ignored.- Returns:
- A uni emitting a
Sample
, i.e. a couple containing the timestamp and the value.
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tsIncrBy
io.smallrye.mutiny.Uni<Void> tsIncrBy(K key, double value)
Execute the command TS.INCRBY. Summary: Increase the value of the sample with the maximum existing timestamp, or create a new sample with a value equal to the value of the sample with the maximum existing timestamp with a given increment. Group: time series- Parameters:
key
- the key name for the time series. must not benull
value
- the numeric data value of the sample, must not benull
- Returns:
- A uni emitting
null
when the operation completes
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tsIncrBy
io.smallrye.mutiny.Uni<Void> tsIncrBy(K key, double value, IncrementArgs args)
Execute the command TS.INCRBY. Summary: Increase the value of the sample with the maximum existing timestamp, or create a new sample with a value equal to the value of the sample with the maximum existing timestamp with a given increment. Group: time series- Parameters:
key
- the key name for the time series. must not benull
value
- the numeric data value of the sample, must not benull
args
- the extra command parameters- Returns:
- A uni emitting
null
when the operation completes
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tsMAdd
io.smallrye.mutiny.Uni<Void> tsMAdd(SeriesSample<K>... samples)
Execute the command TS.MADD. Summary: Append new samples to one or more time series Group: time series- Parameters:
samples
- the set of samples to add to the time series.- Returns:
- A uni emitting
null
when the operation completes
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tsMGet
io.smallrye.mutiny.Uni<Map<String,SampleGroup>> tsMGet(MGetArgs args, Filter... filters)
Execute the command TS.MGET. Summary: Get the last samples matching a specific filter Group: time series- Parameters:
args
- the extra command parameter, must not benull
filters
- the filters. Instanced are created using the static methods fromFilter
. Must not benull
, or contain anull
value.- Returns:
- A uni emitting a Map of
String -> SampleGroup
, containing the matching sample grouped by key. The key is the string representation of the time series key.
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tsMGet
io.smallrye.mutiny.Uni<Map<String,SampleGroup>> tsMGet(Filter... filters)
Execute the command TS.MGET. Summary: Get the last samples matching a specific filter Group: time series- Parameters:
filters
- the filters. Instanced are created using the static methods fromFilter
. Must not benull
, or contain anull
value.- Returns:
- A uni emitting a Map of
String -> SampleGroup
, containing the matching sample grouped by key. The key is the string representation of the time series key.
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tsMRange
io.smallrye.mutiny.Uni<Map<String,SampleGroup>> tsMRange(TimeSeriesRange range, Filter... filters)
Execute the command TS.MRANGE. Summary: Query a range across multiple time series by filters in forward direction Group: time series- Parameters:
range
- the range, must not benull
filters
- the filters. Instanced are created using the static methods fromFilter
. Must not benull
, or contain anull
value.- Returns:
- A uni emitting a Map of
String -> SampleGroup
, containing the matching sample grouped by key. The key is the string representation of the time series key.
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tsMRange
io.smallrye.mutiny.Uni<Map<String,SampleGroup>> tsMRange(TimeSeriesRange range, MRangeArgs args, Filter... filters)
Execute the command TS.MRANGE. Summary: Query a range across multiple time series by filters in forward direction Group: time series- Parameters:
range
- the range, must not benull
args
- the extra command parametersfilters
- the filters. Instanced are created using the static methods fromFilter
. Must not benull
, or contain anull
value.- Returns:
- A uni emitting a Map of
String -> SampleGroup
, containing the matching sample grouped by key. The key is the string representation of the time series key.
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tsMRevRange
io.smallrye.mutiny.Uni<Map<String,SampleGroup>> tsMRevRange(TimeSeriesRange range, Filter... filters)
Execute the command TS.MREVRANGE. Summary: Query a range across multiple time series by filters in reverse direction Group: time series- Parameters:
range
- the range, must not benull
filters
- the filters. Instanced are created using the static methods fromFilter
. Must not benull
, or contain anull
value.- Returns:
- A uni emitting a Map of
String -> SampleGroup
, containing the matching sample grouped by key. The key is the string representation of the time series key.
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tsMRevRange
io.smallrye.mutiny.Uni<Map<String,SampleGroup>> tsMRevRange(TimeSeriesRange range, MRangeArgs args, Filter... filters)
Execute the command TS.MREVRANGE. Summary: Query a range across multiple time series by filters in reverse direction Group: time series- Parameters:
range
- the range, must not benull
args
- the extra command parametersfilters
- the filters. Instanced are created using the static methods fromFilter
. Must not benull
, or contain anull
value.- Returns:
- A uni emitting a Map of
String -> SampleGroup
, containing the matching sample grouped by key. The key is the string representation of the time series key.
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tsQueryIndex
io.smallrye.mutiny.Uni<List<K>> tsQueryIndex(Filter... filters)
Execute the command TS.QUERYINDEX. Summary: Get all time series keys matching a filter list Group: time series- Parameters:
filters
- the filter, created from theFilter
class. Must not benull
, must not containnull
- Returns:
- A uni emitting the list of keys containing time series matching the filters
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tsRange
io.smallrye.mutiny.Uni<List<Sample>> tsRange(K key, TimeSeriesRange range)
Execute the command TS.RANGE. Summary: Query a range in forward direction Group: time series- Parameters:
key
- the key name for the time series, must not benull
range
- the range, must not benull
- Returns:
- A uni emitting the list of matching sample
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tsRange
io.smallrye.mutiny.Uni<List<Sample>> tsRange(K key, TimeSeriesRange range, RangeArgs args)
Execute the command TS.RANGE. Summary: Query a range in forward direction Group: time series- Parameters:
key
- the key name for the time series, must not benull
range
- the range, must not benull
args
- the extra command parameters- Returns:
- A uni emitting the list of matching sample
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tsRevRange
io.smallrye.mutiny.Uni<List<Sample>> tsRevRange(K key, TimeSeriesRange range)
Execute the command TS.REVRANGE. Summary: Query a range in reverse direction Group: time series- Parameters:
key
- the key name for the time series, must not benull
range
- the range, must not benull
- Returns:
- A uni emitting the list of matching sample
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tsRevRange
io.smallrye.mutiny.Uni<List<Sample>> tsRevRange(K key, TimeSeriesRange range, RangeArgs args)
Execute the command TS.REVRANGE. Summary: Query a range in reverse direction Group: time series- Parameters:
key
- the key name for the time series, must not benull
range
- the range, must not benull
args
- the extra command parameters- Returns:
- A uni emitting the list of matching sample
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