Interface ReactiveTimeSeriesCommands<K>
- 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 the
time 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
Modifier and TypeMethodDescriptionio.smallrye.mutiny.Uni<Void>
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
Execute the command TS.ADD.io.smallrye.mutiny.Uni<Void>
Execute the command TS.ALTER.io.smallrye.mutiny.Uni<Void>
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>
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>
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>
Execute the command TS.GET.io.smallrye.mutiny.Uni<Sample>
Execute the command TS.GET.io.smallrye.mutiny.Uni<Void>
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>> Execute the command TS.MGET.io.smallrye.mutiny.Uni<Map<String,
SampleGroup>> 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.tsQueryIndex
(Filter... filters) Execute the command TS.QUERYINDEX.tsRange
(K key, TimeSeriesRange range) Execute the command TS.RANGE.tsRange
(K key, TimeSeriesRange range, RangeArgs args) Execute the command TS.RANGE.tsRevRange
(K key, TimeSeriesRange range) Execute the command TS.REVRANGE.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 Details
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tsCreate
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
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
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
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
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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tsAdd
Execute the command TS.ADD. Summary: Append a sample to a time series Group: time seriesUnlike
tsAdd(Object, long, double, AddArgs)
, 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.args
- the creation arguments.- Returns:
- A uni emitting
null
when the operation completes
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tsAlter
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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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