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/*
* The MIT License
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
package com.influxdb.query.dsl;
import java.time.Instant;
import java.time.temporal.ChronoUnit;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import java.util.TreeSet;
import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import com.influxdb.query.dsl.functions.AbstractFunctionCallFlux;
import com.influxdb.query.dsl.functions.AbstractFunctionFlux;
import com.influxdb.query.dsl.functions.AbstractParametrizedFlux;
import com.influxdb.query.dsl.functions.AggregateWindow;
import com.influxdb.query.dsl.functions.ArrayFromFlux;
import com.influxdb.query.dsl.functions.ColumnsFlux;
import com.influxdb.query.dsl.functions.CountFlux;
import com.influxdb.query.dsl.functions.CovarianceFlux;
import com.influxdb.query.dsl.functions.CumulativeSumFlux;
import com.influxdb.query.dsl.functions.DerivativeFlux;
import com.influxdb.query.dsl.functions.DifferenceFlux;
import com.influxdb.query.dsl.functions.DistinctFlux;
import com.influxdb.query.dsl.functions.DropFlux;
import com.influxdb.query.dsl.functions.DuplicateFlux;
import com.influxdb.query.dsl.functions.ExpressionFlux;
import com.influxdb.query.dsl.functions.FillFlux;
import com.influxdb.query.dsl.functions.FilterFlux;
import com.influxdb.query.dsl.functions.FirstFlux;
import com.influxdb.query.dsl.functions.FromFlux;
import com.influxdb.query.dsl.functions.GroupFlux;
import com.influxdb.query.dsl.functions.IntegralFlux;
import com.influxdb.query.dsl.functions.InterpolateLinearFlux;
import com.influxdb.query.dsl.functions.JoinFlux;
import com.influxdb.query.dsl.functions.KeepFlux;
import com.influxdb.query.dsl.functions.LastFlux;
import com.influxdb.query.dsl.functions.LimitFlux;
import com.influxdb.query.dsl.functions.MapFlux;
import com.influxdb.query.dsl.functions.MaxFlux;
import com.influxdb.query.dsl.functions.MeanFlux;
import com.influxdb.query.dsl.functions.MinFlux;
import com.influxdb.query.dsl.functions.PivotFlux;
import com.influxdb.query.dsl.functions.QuantileFlux;
import com.influxdb.query.dsl.functions.RangeFlux;
import com.influxdb.query.dsl.functions.ReduceFlux;
import com.influxdb.query.dsl.functions.RenameFlux;
import com.influxdb.query.dsl.functions.SampleFlux;
import com.influxdb.query.dsl.functions.SetFlux;
import com.influxdb.query.dsl.functions.SkewFlux;
import com.influxdb.query.dsl.functions.SortFlux;
import com.influxdb.query.dsl.functions.SpreadFlux;
import com.influxdb.query.dsl.functions.StddevFlux;
import com.influxdb.query.dsl.functions.SumFlux;
import com.influxdb.query.dsl.functions.TailFlux;
import com.influxdb.query.dsl.functions.TimeShiftFlux;
import com.influxdb.query.dsl.functions.ToBoolFlux;
import com.influxdb.query.dsl.functions.ToDurationFlux;
import com.influxdb.query.dsl.functions.ToFloatFlux;
import com.influxdb.query.dsl.functions.ToFlux;
import com.influxdb.query.dsl.functions.ToIntFlux;
import com.influxdb.query.dsl.functions.ToStringFlux;
import com.influxdb.query.dsl.functions.ToTimeFlux;
import com.influxdb.query.dsl.functions.ToUIntFlux;
import com.influxdb.query.dsl.functions.TruncateTimeColumnFlux;
import com.influxdb.query.dsl.functions.UnionFlux;
import com.influxdb.query.dsl.functions.WindowFlux;
import com.influxdb.query.dsl.functions.YieldFlux;
import com.influxdb.query.dsl.functions.properties.FunctionsParameters;
import com.influxdb.query.dsl.functions.restriction.Restrictions;
import com.influxdb.query.dsl.utils.ImportUtils;
import com.influxdb.utils.Arguments;
/**
* Flux - Data Scripting Language.
*
* Flux Specification
*
*
* The functions:
*
* - {@link AggregateWindow}
* - {@link FromFlux}
* - {@link CountFlux}
* - {@link CovarianceFlux}
* - {@link CumulativeSumFlux}
* - {@link DerivativeFlux}
* - {@link DifferenceFlux}
* - {@link DistinctFlux}
* - {@link DropFlux}
* - {@link DuplicateFlux}
* - {@link FilterFlux}
* - {@link FirstFlux}
* - {@link GroupFlux}
* - {@link IntegralFlux}
* - {@link JoinFlux}
* - {@link KeepFlux}
* - {@link LastFlux}
* - {@link LimitFlux}
* - {@link MapFlux}
* - {@link MaxFlux}
* - {@link MeanFlux}
* - {@link MinFlux}
* - {@link QuantileFlux}
* - {@link PivotFlux}
* - {@link RangeFlux}
* - {@link RenameFlux}
* - {@link SampleFlux}
* - {@link SetFlux}
* - {@link TimeShiftFlux}
* - {@link SkewFlux}
* - {@link SortFlux}
* - {@link SpreadFlux}
* - {@link StddevFlux}
* - {@link SumFlux}
* - {@link ToFlux}
* - {@link ToBoolFlux}
* - {@link ToIntFlux}
* - {@link ToFloatFlux}
* - {@link ToDurationFlux}
* - {@link ToStringFlux}
* - {@link ToTimeFlux}
* - {@link ToUIntFlux}
* - {@link WindowFlux}
* - {@link YieldFlux}
* - {@link ExpressionFlux}
*
*
* @author Jakub Bednar (bednar@github) (22/06/2018 10:16)
*/
@SuppressWarnings({"FileLength"})
public abstract class Flux implements HasImports, Expression {
protected FunctionsParameters functionsParameters = FunctionsParameters.of();
protected Set imports;
/**
* Get data from the specified database.
*
* @param bucket Bucket name
* @return {@link FromFlux}
*/
@Nonnull
public static FromFlux from(@Nonnull final String bucket) {
Arguments.checkNonEmpty(bucket, "Bucket name");
return new FromFlux().withBucket(bucket);
}
/**
* Get data from the specified database.
*
* @param bucket Bucket name
* @param hosts the Fluxd hosts
* @return {@link FromFlux}
*/
@Nonnull
public static FromFlux from(@Nonnull final String bucket, @Nonnull final Collection hosts) {
Arguments.checkNonEmpty(bucket, "Bucket name");
Arguments.checkNotNull(hosts, "Hosts are required");
return new FromFlux()
.withBucket(bucket)
.withHosts(hosts);
}
/**
* Get data from the specified database.
*
* @param bucket Bucket name
* @param hosts the Fluxd hosts
* @return {@link FromFlux}
*/
@Nonnull
public static FromFlux from(@Nonnull final String bucket, @Nonnull final String[] hosts) {
Arguments.checkNonEmpty(bucket, "Database name");
Arguments.checkNotNull(hosts, "Hosts are required");
return new FromFlux()
.withBucket(bucket)
.withHosts(hosts);
}
/**
* Applies an aggregate or selector function to fixed windows of time.
*
*
* The parameters had to be defined by:
*
* - {@link AggregateWindow#withEvery(Long, ChronoUnit)}
* - {@link AggregateWindow#withEvery(String)}
* - {@link AggregateWindow#withFunction(String, Object)}
* - {@link AggregateWindow#withAggregateFunction(String)}
* - {@link AggregateWindow#withColumn(String)}
* - {@link AggregateWindow#withTimeSrc(String)}
* - {@link AggregateWindow#withTimeDst(String)}
* - {@link AggregateWindow#withCreateEmpty(boolean)}
*
*
* @return {@link AggregateWindow}
*/
public final AggregateWindow aggregateWindow() {
return new AggregateWindow(this);
}
/**
* Applies an aggregate or selector function to fixed windows of time.
*
*
* The parameters had to be defined by:
*
* - {@link AggregateWindow#withEvery(Long, ChronoUnit)}
* - {@link AggregateWindow#withEvery(String)}
* - {@link AggregateWindow#withFunction(String, Object)}
* - {@link AggregateWindow#withAggregateFunction(String)}
* - {@link AggregateWindow#withColumn(String)}
* - {@link AggregateWindow#withTimeSrc(String)}
* - {@link AggregateWindow#withTimeDst(String)}
* - {@link AggregateWindow#withCreateEmpty(boolean)}
*
*
* @param every The duration of windows.
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}.
* @param namedFunction specifies the named aggregate operation to perform.
* @return {@link AggregateWindow}
*/
@Nonnull
public final AggregateWindow aggregateWindow(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit,
@Nonnull final String namedFunction) {
Arguments.checkNotNull(every, "Every is required");
Arguments.checkNotNull(everyUnit, "Every ChronoUnit is required");
return new AggregateWindow(this).withEvery(every, everyUnit).withAggregateFunction(namedFunction);
}
/**
* Constructs a table from an array of records.
*
* @return {@link ArrayFromFlux}
*/
@Nonnull
public static ArrayFromFlux arrayFrom() {
return new ArrayFromFlux();
}
/**
* Constructs a table from an array of records.
*
* @param rows Array of records to construct a table with.
* @return {@link ArrayFromFlux}
*/
@SafeVarargs
@Nonnull
public static ArrayFromFlux arrayFrom(@Nonnull final Map... rows) {
return arrayFrom().withRow(rows);
}
/**
* Join two time series together on time and the list of tags.
*
*
* The parameters had to be defined by:
*
* - {@link JoinFlux#withTable(String, Flux)}
* - {@link JoinFlux#withOn(String)}
* - {@link JoinFlux#withOn(String[])}
* - {@link JoinFlux#withOn(Collection)}
* - {@link JoinFlux#withMethod(String)}
* - {@link JoinFlux#withPropertyNamed(String)}
* - {@link JoinFlux#withPropertyNamed(String, String)}
*
*
* @return {@link JoinFlux}
*/
@Nonnull
public static JoinFlux join() {
return new JoinFlux();
}
/**
* Join two time series together on time and the list of tags.
*
* @param name1 table 1 name
* @param table1 table 1 Flux script
* @param name2 table 2 name
* @param table2 table 2 Flux script
* @param tag tag key to join
* @param method the type of join to be performed
* @return {@link JoinFlux}
*/
@Nonnull
public static JoinFlux join(@Nonnull final String name1,
@Nonnull final Flux table1,
@Nonnull final String name2,
@Nonnull final Flux table2,
@Nonnull final String tag,
@Nonnull final String method) {
return new JoinFlux()
.withTable(name1, table1)
.withTable(name2, table2)
.withOn(tag)
.withMethod(method);
}
/**
* It will return a table containing only columns that are specified.
*
*
* The parameters had to be defined by:
*
* - {@link KeepFlux#withColumns(String[])}
* - {@link KeepFlux#withFunction(String)}
* - {@link KeepFlux#withPropertyNamed(String)}
* - {@link KeepFlux#withPropertyNamed(String, String)}
* - {@link KeepFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link KeepFlux}
*/
@Nonnull
public final KeepFlux keep() {
return new KeepFlux(this);
}
/**
* It will return a table containing only columns that are specified.
*
* @param columns The list of columns that should be included in the resulting table.
* @return {@link KeepFlux}
*/
@Nonnull
public final KeepFlux keep(@Nonnull final Collection columns) {
return new KeepFlux(this).withColumns(columns);
}
/**
* It will return a table containing only columns that are specified.
*
* @param columns The list of columns that should be included in the resulting table.
* @return {@link DropFlux}
*/
@Nonnull
public final KeepFlux keep(@Nonnull final String[] columns) {
return new KeepFlux(this).withColumns(columns);
}
/**
* It will return a table containing only columns that are specified.
*
* @param function The function which takes a column name as a parameter and returns a boolean indicating whether
* or not the column should be included in the resulting table.
* @return {@link DropFlux}
*/
@Nonnull
public final KeepFlux keep(@Nonnull final String function) {
return new KeepFlux(this).withFunction(function);
}
/**
* Lists the column labels of input tables.
*
* @return {@link ColumnsFlux}
*/
@Nonnull
public final ColumnsFlux columns() {
return new ColumnsFlux(this);
}
/**
* Lists the column labels of input tables.
*
* @param column The name of the output column in which to store the column labels.
* @return {@link ColumnsFlux}
*/
@Nonnull
public final ColumnsFlux columns(@Nonnull final String column) {
return new ColumnsFlux(this).withColumn(column);
}
/**
* Counts the number of results.
*
* @return {@link CountFlux}
*/
@Nonnull
public final CountFlux count() {
return new CountFlux(this);
}
/**
* Counts the number of results.
*
* @param column The column to aggregate.
* @return {@link CountFlux}
*/
@Nonnull
public final CountFlux count(@Nonnull final String column) {
return new CountFlux(this)
.withColumn(column);
}
/**
* Covariance computes the covariance between two columns.
*
*
* The parameters had to be defined by:
*
* - {@link CovarianceFlux#withColumns(String[])}
* - {@link CovarianceFlux#withColumns(Collection)}
* - {@link CovarianceFlux#withPearsonr(boolean)}
* - {@link CovarianceFlux#withValueDst(String)}
* - {@link CovarianceFlux#withPropertyNamed(String)}
* - {@link CovarianceFlux#withPropertyNamed(String, String)}
* - {@link CovarianceFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance() {
return new CovarianceFlux(this);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final Collection columns) {
return new CovarianceFlux(this).withColumns(columns);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final String[] columns) {
return new CovarianceFlux(this).withColumns(columns);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @param pearsonr indicates whether the result should be normalized to be the Pearson R coefficient
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final Collection columns, final boolean pearsonr) {
return new CovarianceFlux(this).withColumns(columns).withPearsonr(pearsonr);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @param pearsonr indicates whether the result should be normalized to be the Pearson R coefficient
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final String[] columns, final boolean pearsonr) {
return new CovarianceFlux(this).withColumns(columns).withPearsonr(pearsonr);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @param valueDst column into which the result will be placed.
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final Collection columns,
@Nonnull final String valueDst) {
return new CovarianceFlux(this).withColumns(columns).withValueDst(valueDst);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @param valueDst column into which the result will be placed.
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final String[] columns,
@Nonnull final String valueDst) {
return new CovarianceFlux(this).withColumns(columns).withValueDst(valueDst);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @param pearsonr indicates whether the result should be normalized to be the Pearson R coefficient
* @param valueDst column into which the result will be placed.
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final Collection columns,
final boolean pearsonr,
@Nonnull final String valueDst) {
return new CovarianceFlux(this).withColumns(columns).withPearsonr(pearsonr).withValueDst(valueDst);
}
/**
* Covariance computes the covariance between two columns.
*
* @param columns list of columns on which to compute the covariance. Exactly two columns must be provided.
* @param pearsonr indicates whether the result should be normalized to be the Pearson R coefficient
* @param valueDst column into which the result will be placed.
* @return {@link CovarianceFlux}
*/
@Nonnull
public final CovarianceFlux covariance(@Nonnull final String[] columns,
final boolean pearsonr,
@Nonnull final String valueDst) {
return new CovarianceFlux(this).withColumns(columns).withPearsonr(pearsonr).withValueDst(valueDst);
}
/**
* Computes a running sum for non null records in the table.
*
*
* The parameters had to be defined by:
*
* - {@link CumulativeSumFlux#withColumns(String[])}
* - {@link CumulativeSumFlux#withColumns(Collection)}
* - {@link CumulativeSumFlux#withPropertyNamed(String)}
* - {@link CumulativeSumFlux#withPropertyNamed(String, String)}
* - {@link CumulativeSumFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link CumulativeSumFlux}
*/
@Nonnull
public final CumulativeSumFlux cumulativeSum() {
return new CumulativeSumFlux(this);
}
/**
* Computes a running sum for non null records in the table.
*
* @param columns the columns on which to operate
* @return {@link CumulativeSumFlux}
*/
@Nonnull
public final CumulativeSumFlux cumulativeSum(@Nonnull final String[] columns) {
return new CumulativeSumFlux(this).withColumns(columns);
}
/**
* Computes a running sum for non null records in the table.
*
* @param columns the columns on which to operate
* @return {@link CumulativeSumFlux}
*/
@Nonnull
public final CumulativeSumFlux cumulativeSum(@Nonnull final Collection columns) {
return new CumulativeSumFlux(this).withColumns(columns);
}
/**
* Computes the time based difference between subsequent non null records.
*
*
* The parameters had to be defined by:
*
* - {@link DerivativeFlux#withUnit(Long, ChronoUnit)}
* - {@link DerivativeFlux#withNonNegative(boolean)}
* - {@link DerivativeFlux#withColumns(String[])}
* - {@link DerivativeFlux#withTimeColumn(String)}
* - {@link DerivativeFlux#withPropertyNamed(String)}
* - {@link DerivativeFlux#withPropertyNamed(String, String)}
* - {@link DerivativeFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link DerivativeFlux}
*/
@Nonnull
public final DerivativeFlux derivative() {
return new DerivativeFlux(this);
}
/**
* Computes the time based difference between subsequent non null records.
*
* @param duration the time duration to use for the result
* @param unit a {@code ChronoUnit} determining how to interpret the {@code duration} parameter
* @return {@link DerivativeFlux}
*/
@Nonnull
public final DerivativeFlux derivative(@Nonnull final Long duration, @Nonnull final ChronoUnit unit) {
return new DerivativeFlux(this).withUnit(duration, unit);
}
/**
* Difference computes the difference between subsequent non null records.
*
*
* The parameters had to be defined by:
*
* - {@link DifferenceFlux#withNonNegative(boolean)}
* - {@link DifferenceFlux#withColumns(String[])}
* - {@link DifferenceFlux#withColumns(Collection)}
* - {@link DifferenceFlux#withPropertyNamed(String)}
* - {@link DifferenceFlux#withPropertyNamed(String, String)}
* - {@link DifferenceFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link DifferenceFlux}
*/
@Nonnull
public final DifferenceFlux difference() {
return new DifferenceFlux(this);
}
/**
* Difference computes the difference between subsequent non null records.
*
* @param nonNegative indicates if the derivative is allowed to be negative
* @return {@link DifferenceFlux}
*/
@Nonnull
public final DifferenceFlux difference(final boolean nonNegative) {
return new DifferenceFlux(this).withNonNegative(nonNegative);
}
/**
* Difference computes the difference between subsequent non null records.
*
* @param columns list of columns on which to compute the difference
* @return {@link DifferenceFlux}
*/
@Nonnull
public final DifferenceFlux difference(@Nonnull final Collection columns) {
return new DifferenceFlux(this).withColumns(columns);
}
/**
* Difference computes the difference between subsequent non null records.
*
* @param columns list of columns on which to compute the difference
* @return {@link DifferenceFlux}
*/
@Nonnull
public final DifferenceFlux difference(@Nonnull final String[] columns) {
return new DifferenceFlux(this).withColumns(columns);
}
/**
* Difference computes the difference between subsequent non null records.
*
* @param nonNegative indicates if the derivative is allowed to be negative
* @param columns list of columns on which to compute the difference
* @return {@link DifferenceFlux}
*/
@Nonnull
public final DifferenceFlux difference(@Nonnull final Collection columns, final boolean nonNegative) {
return new DifferenceFlux(this).withColumns(columns).withNonNegative(nonNegative);
}
/**
* Difference computes the difference between subsequent non null records.
*
* @param nonNegative indicates if the derivative is allowed to be negative
* @param columns list of columns on which to compute the difference
* @return {@link DifferenceFlux}
*/
@Nonnull
public final DifferenceFlux difference(@Nonnull final String[] columns, final boolean nonNegative) {
return new DifferenceFlux(this).withColumns(columns).withNonNegative(nonNegative);
}
/**
* Distinct produces the unique values for a given column.
*
*
* The parameters had to be defined by:
*
* - {@link DistinctFlux#withColumn(String)}
* - {@link DistinctFlux#withPropertyNamed(String)}
* - {@link DistinctFlux#withPropertyNamed(String, String)}
* - {@link DistinctFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link DistinctFlux}
*/
@Nonnull
public final DistinctFlux distinct() {
return new DistinctFlux(this);
}
/**
* Distinct produces the unique values for a given column.
*
* @param column The column on which to track unique values.
* @return {@link DistinctFlux}
*/
@Nonnull
public final DistinctFlux distinct(@Nonnull final String column) {
return new DistinctFlux(this).withColumn(column);
}
/**
* Drop will exclude specified columns from a table.
*
*
* The parameters had to be defined by:
*
* - {@link DropFlux#withColumns(String[])}
* - {@link DropFlux#withFunction(String)}
* - {@link DropFlux#withPropertyNamed(String)}
* - {@link DropFlux#withPropertyNamed(String, String)}
* - {@link DropFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link DropFlux}
*/
@Nonnull
public final DropFlux drop() {
return new DropFlux(this);
}
/**
* Drop will exclude specified columns from a table.
*
* @param columns The list of columns which should be excluded from the resulting table.
* @return {@link DropFlux}
*/
@Nonnull
public final DropFlux drop(@Nonnull final Collection columns) {
return new DropFlux(this).withColumns(columns);
}
/**
* Drop will exclude specified columns from a table.
*
* @param columns The list of columns which should be excluded from the resulting table.
* @return {@link DropFlux}
*/
@Nonnull
public final DropFlux drop(@Nonnull final String[] columns) {
return new DropFlux(this).withColumns(columns);
}
/**
* Drop will exclude specified columns from a table.
*
* @param function The function which takes a column name as a parameter and returns a boolean indicating whether
* or not the column should be excluded from the resulting table.
* @return {@link DropFlux}
*/
@Nonnull
public final DropFlux drop(@Nonnull final String function) {
return new DropFlux(this).withFunction(function);
}
/**
* Duplicate will duplicate a specified column in a table.
*
*
* The parameters had to be defined by:
*
* - {@link DuplicateFlux#withAs(String)}
* - {@link DuplicateFlux#withColumn(String)} (String)}
* - {@link DuplicateFlux#withPropertyNamed(String)}
* - {@link DuplicateFlux#withPropertyNamed(String, String)}
* - {@link DuplicateFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link DuplicateFlux}
*/
@Nonnull
public final DuplicateFlux duplicate() {
return new DuplicateFlux(this);
}
/**
* Duplicate will duplicate a specified column in a table.
*
*
* The parameters had to be defined by:
*
* - {@link DuplicateFlux#withAs(String)}
* - {@link DuplicateFlux#withColumn(String)} (String)}
* - {@link DuplicateFlux#withPropertyNamed(String)}
* - {@link DuplicateFlux#withPropertyNamed(String, String)}
* - {@link DuplicateFlux#withPropertyValueEscaped(String, String)}
*
*
* @param column the column to duplicate
* @param as the name that should be assigned to the duplicate column
* @return {@link DuplicateFlux}
*/
@Nonnull
public final DuplicateFlux duplicate(@Nonnull final String column, @Nonnull final String as) {
return new DuplicateFlux(this).withColumn(column).withAs(as);
}
/**
* Replaces all null values in input tables with a non-null value.
*
*
* The parameters had to be defined by:
*
* - {@link FillFlux#withUsePrevious(Boolean)}
* - {@link FillFlux#withColumn(String)}
* - {@link FillFlux#withValue(Object)}
*
*
* @return {@link FillFlux}
*/
@Nonnull
public final FillFlux fill() {
return new FillFlux(this);
}
/**
* Replaces all null values in input tables with a non-null value.
*
* @param value The constant value to use in place of nulls. The type must match the type of the valueColumn.
* @return {@link FillFlux}
*/
@Nonnull
public final FillFlux fill(@Nonnull final Object value) {
return new FillFlux(this).withValue(value);
}
/**
* Returns the first result of the query.
*
*
* The parameters had to be defined by:
*
* - {@link FilterFlux#withRestrictions(Restrictions)}
* - {@link FilterFlux#withPropertyNamed(String)}
* - {@link FilterFlux#withPropertyNamed(String, String)}
* - {@link FilterFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link FilterFlux}
*/
@Nonnull
public final FilterFlux filter() {
return new FilterFlux(this);
}
/**
* Returns the first result of the query.
*
* @param restrictions filter restrictions
* @return {@link FilterFlux}
*/
@Nonnull
public final FilterFlux filter(@Nonnull final Restrictions restrictions) {
Arguments.checkNotNull(restrictions, "Restrictions are required");
return new FilterFlux(this).withRestrictions(restrictions);
}
/**
* Returns the first result of the query.
*
* @return {@link FirstFlux}
*/
@Nonnull
public final FirstFlux first() {
return new FirstFlux(this);
}
/**
* Groups results by a user-specified set of tags.
*
*
* The parameters had to be defined by:
*
* - {@link GroupFlux#withBy(String[])}
* - {@link GroupFlux#withBy(Collection)}
* - {@link GroupFlux#withExcept(String[])}
* - {@link GroupFlux#withExcept(Collection)}
* - {@link GroupFlux#withPropertyNamed(String)}
* - {@link GroupFlux#withPropertyNamed(String, String)}
* - {@link GroupFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux group() {
return new GroupFlux(this);
}
/**
* Groups results by a user-specified set of tags.
*
* @param groupBy Group by these specific tag name.
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux groupBy(@Nonnull final String groupBy) {
Arguments.checkNotNull(groupBy, "GroupBy Columns are required");
return new GroupFlux(this).withBy(groupBy);
}
/**
* Groups results by a user-specified set of tags.
*
* @param groupBy Group by these specific tag names.
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux groupBy(@Nonnull final Collection groupBy) {
Arguments.checkNotNull(groupBy, "GroupBy Columns are required");
return new GroupFlux(this).withBy(groupBy);
}
/**
* Groups results by a user-specified set of tags.
*
* @param groupBy Group by these specific tag names.
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux groupBy(@Nonnull final String[] groupBy) {
Arguments.checkNotNull(groupBy, "GroupBy Columns are required");
return new GroupFlux(this).withBy(groupBy);
}
/**
* Groups results by a user-specified set of tags.
*
* @param except Group by all but these tag keys Cannot be used.
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux groupExcept(@Nonnull final Collection except) {
Arguments.checkNotNull(except, "GroupBy Except Columns are required");
return new GroupFlux(this).withExcept(except);
}
/**
* Groups results by a user-specified set of tags.
*
* @param except Group by all but these tag keys Cannot be used.
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux groupExcept(@Nonnull final String except) {
Arguments.checkNotNull(except, "GroupBy Except Column are required");
return new GroupFlux(this).withExcept(except);
}
/**
* Groups results by a user-specified set of tags.
*
* @param except Group by all but these tag keys Cannot be used.
* @return {@link GroupFlux}
*/
@Nonnull
public final GroupFlux groupExcept(@Nonnull final String[] except) {
Arguments.checkNotNull(except, "GroupBy Except Columns are required");
return new GroupFlux(this).withExcept(except);
}
/**
* For each aggregate column, it outputs the area under the curve of non null records.
*
*
* The parameters had to be defined by:
*
* - {@link IntegralFlux#withUnit(Long, ChronoUnit)}
* - {@link IntegralFlux#withPropertyNamed(String)}
* - {@link IntegralFlux#withPropertyNamed(String, String)}
*
*
* @return {@link IntegralFlux}
*/
@Nonnull
public final IntegralFlux integral() {
return new IntegralFlux(this);
}
/**
* For each aggregate column, it outputs the area under the curve of non null records.
*
* @param duration Time duration to use when computing the integral
* @param unit a {@code ChronoUnit} determining how to interpret the {@code duration} parameter
* @return {@link IntegralFlux}
*/
@Nonnull
public final IntegralFlux integral(@Nonnull final Long duration, @Nonnull final ChronoUnit unit) {
Arguments.checkNotNull(duration, "Duration is required");
Arguments.checkNotNull(unit, "ChronoUnit is required");
return new IntegralFlux(this).withUnit(duration, unit);
}
/**
* The `interpolate.linear` function inserts rows at regular intervals using linear interpolation to determine
* values for inserted rows.
*
*
* The parameters had to be defined by:
*
* - {@link InterpolateLinearFlux#withEvery(long, ChronoUnit)}
* - {@link InterpolateLinearFlux#withPropertyNamed(String)}
* - {@link InterpolateLinearFlux#withPropertyNamed(String, String)}
*
*
* @return {@link InterpolateLinearFlux}
*/
@Nonnull
public final InterpolateLinearFlux interpolateLinear() {
return new InterpolateLinearFlux(this);
}
/**
* The `interpolate.linear` function inserts rows at regular intervals using linear interpolation to determine
* values for inserted rows.
*
* @param duration Time duration to use when computing the interpolation
* @param unit a {@code ChronoUnit} determining how to interpret the {@code duration} parameter
* @return {@link InterpolateLinearFlux}
*/
@Nonnull
public final InterpolateLinearFlux interpolateLinear(@Nonnull final Long duration, @Nonnull final ChronoUnit unit) {
Arguments.checkNotNull(duration, "Duration is required");
Arguments.checkNotNull(unit, "ChronoUnit is required");
return new InterpolateLinearFlux(this).withEvery(duration, unit);
}
/**
* Returns the last result of the query.
*
* @return {@link LastFlux}
*/
@Nonnull
public final LastFlux last() {
return new LastFlux(this);
}
/**
* Returns the last result of the query.
*
* @param column The column used to verify the existence of a value.
* @return {@link LastFlux}
*/
@Nonnull
public final LastFlux last(@Nonnull final String column) {
return new LastFlux(this)
.withColumn(column);
}
/**
* Restricts the number of rows returned in the results.
*
*
* The parameters had to be defined by:
*
* - {@link LimitFlux#withN(int)}
* - {@link LimitFlux#withPropertyNamed(String)}
* - {@link LimitFlux#withPropertyNamed(String, String)}
* - {@link LimitFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link LimitFlux}
*/
@Nonnull
public final LimitFlux limit() {
return new LimitFlux(this);
}
/**
* Restricts the number of rows returned in the results.
*
* @param numberOfResults The number of results
* @return {@link LimitFlux}
*/
@Nonnull
public final LimitFlux limit(final int numberOfResults) {
return new LimitFlux(this).withN(numberOfResults);
}
/**
* Restricts the number of rows returned in the results.
*
* @param numberOfResults The number of results
* @param offset The number of records to skip per table.
* @return {@link LimitFlux}
*/
@Nonnull
public final LimitFlux limit(final int numberOfResults, final int offset) {
return new LimitFlux(this).withN(numberOfResults).withOffset(offset);
}
/**
* Applies a function to each row of the table.
*
*
* The parameters had to be defined by:
*
* - {@link MapFlux#withFunction(String)}
* - {@link MapFlux#withPropertyNamed(String)}
* - {@link MapFlux#withPropertyNamed(String, String)}
*
*
* @return {@link MapFlux}
*/
@Nonnull
public final MapFlux map() {
return new MapFlux(this);
}
/**
* Applies a function to each row of the table.
*
* @param function The function for map row of table. Example: "r._value * r._value".
* @return {@link MapFlux}
*/
@Nonnull
public final MapFlux map(@Nonnull final String function) {
return new MapFlux(this).withFunction(function);
}
/**
* Returns the max value within the results.
*
* @return {@link MaxFlux}
*/
@Nonnull
public final MaxFlux max() {
return new MaxFlux(this);
}
/**
* Returns the max value within the results.
*
* @param column The column to use to calculate the maximum value.
* @return {@link MaxFlux}
*/
@Nonnull
public final MaxFlux max(@Nonnull final String column) {
return new MaxFlux(this).withColumn(column);
}
/**
* Returns the mean of the values within the results.
*
* @return {@link MeanFlux}
*/
@Nonnull
public final MeanFlux mean() {
return new MeanFlux(this);
}
/**
* Returns the mean of the values within the results.
*
* @param column The column to use to compute the mean.
* @return {@link MeanFlux}
*/
@Nonnull
public final MeanFlux mean(final String column) {
return new MeanFlux(this).withColumn(column);
}
/**
* Returns the min value within the results.
*
* @return {@link MinFlux}
*/
@Nonnull
public final MinFlux min() {
return new MinFlux(this);
}
/**
* Returns the min value within the results.
*
* @param column The column to use to calculate the minimum value.
* @return {@link MinFlux}
*/
@Nonnull
public final MinFlux min(@Nonnull final String column) {
return new MinFlux(this).withColumn(column);
}
/**
* Quantile is both an aggregate operation and a selector operation depending on selected options.
*
*
* The parameters had to be defined by:
*
* - {@link QuantileFlux#withColumn(String)}
* - {@link QuantileFlux#withQuantile(Float)}
* - {@link QuantileFlux#withCompression(Float)}
* - {@link QuantileFlux#withMethod(String)}
* - {@link QuantileFlux#withMethod(QuantileFlux.MethodType)}
* - {@link QuantileFlux#withPropertyNamed(String)}
* - {@link QuantileFlux#withPropertyNamed(String, String)}
* - {@link QuantileFlux#withPropertyValueEscaped(String, String)}
* - {@link QuantileFlux#withFunction(String, Object)}
* - {@link QuantileFlux#withFunctionNamed(String, String)}
*
*
* @return {@link QuantileFlux}
*/
@Nonnull
public final QuantileFlux quantile() {
return new QuantileFlux(this);
}
/**
* Quantile is both an aggregate operation and a selector operation depending on selected options.
*
* @param quantile value between 0 and 1 indicating the desired quantile
* @return {@link QuantileFlux}
*/
@Nonnull
public final QuantileFlux quantile(@Nonnull final Float quantile) {
return new QuantileFlux(this)
.withQuantile(quantile);
}
/**
* Quantile is both an aggregate operation and a selector operation depending on selected options.
*
* @param quantile value between 0 and 1 indicating the desired quantile
* @param method method to aggregate
* @return {@link QuantileFlux}
*/
@Nonnull
public final QuantileFlux quantile(@Nonnull final Float quantile,
@Nonnull final QuantileFlux.MethodType method) {
return new QuantileFlux(this)
.withQuantile(quantile)
.withMethod(method);
}
/**
* Quantile is both an aggregate operation and a selector operation depending on selected options.
*
* @param quantile value between 0 and 1 indicating the desired quantile
* @param method method to aggregate
* @param compression indicates how many centroids to use when compressing the dataset
* @return {@link QuantileFlux}
*/
@Nonnull
public final QuantileFlux quantile(@Nonnull final Float quantile,
@Nonnull final QuantileFlux.MethodType method,
@Nonnull final Float compression) {
return new QuantileFlux(this)
.withQuantile(quantile)
.withMethod(method)
.withCompression(compression);
}
/**
* Quantile is both an aggregate operation and a selector operation depending on selected options.
*
* @param column specifies a column to aggregate
* @param quantile value between 0 and 1 indicating the desired quantile
* @param method method to aggregate
* @param compression indicates how many centroids to use when compressing the dataset.
* @return {@link QuantileFlux}
*/
@Nonnull
public final QuantileFlux quantile(@Nonnull final String column,
@Nonnull final Float quantile,
@Nonnull final QuantileFlux.MethodType method,
@Nonnull final Float compression) {
return new QuantileFlux(this)
.withColumn(column)
.withQuantile(quantile)
.withMethod(method)
.withCompression(compression);
}
/**
* Pivot collects values stored vertically (column-wise) in a table
* and aligns them horizontally (row-wise) into logical sets.
*
*
* The parameters had to be defined by:
*
* - {@link PivotFlux#withRowKey(String[])}
* - {@link PivotFlux#withRowKey(Collection)}
* - {@link PivotFlux#withColumnKey(String[])}
* - {@link PivotFlux#withColumnKey(Collection)}
* - {@link PivotFlux#withValueColumn(String)}
* - {@link PivotFlux#withPropertyNamed(String)}
* - {@link PivotFlux#withPropertyNamed(String, String)}
* - {@link PivotFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link PivotFlux}
*/
@Nonnull
public final PivotFlux pivot() {
return new PivotFlux(this);
}
/**
* Pivot collects values stored vertically (column-wise) in a table
* and aligns them horizontally (row-wise) into logical sets.
*
* @param rowKey the columns used to uniquely identify a row for the output
* @param columnKey the columns used to pivot values onto each row identified by the rowKey.
* @param valueColumn the single column that contains the value to be moved around the pivot
* @return {@link PivotFlux}
*/
@Nonnull
public final PivotFlux pivot(@Nonnull final String[] rowKey,
@Nonnull final String[] columnKey,
@Nonnull final String valueColumn) {
return new PivotFlux(this).withRowKey(rowKey).withColumnKey(columnKey).withValueColumn(valueColumn);
}
/**
* Pivot collects values stored vertically (column-wise) in a table
* and aligns them horizontally (row-wise) into logical sets.
*
* @param rowKey the columns used to uniquely identify a row for the output
* @param columnKey the columns used to pivot values onto each row identified by the rowKey.
* @param valueColumn the single column that contains the value to be moved around the pivot
* @return {@link PivotFlux}
*/
@Nonnull
public final PivotFlux pivot(@Nonnull final Collection rowKey,
@Nonnull final Collection columnKey,
@Nonnull final String valueColumn) {
return new PivotFlux(this).withRowKey(rowKey).withColumnKey(columnKey).withValueColumn(valueColumn);
}
/**
* Filters the results by time boundaries.
*
*
* The parameters had to be defined by:
*
* - {@link RangeFlux#withStart(Instant)}
* - {@link RangeFlux#withStart(Long, ChronoUnit)}
* - {@link RangeFlux#withStop(Instant)}
* - {@link RangeFlux#withStop(Long, ChronoUnit)}
* - {@link RangeFlux#withPropertyNamed(String)}
* - {@link RangeFlux#withPropertyNamed(String, String)}
* - {@link RangeFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range() {
return new RangeFlux(this);
}
/**
* Filters the results by time boundaries.
*
* @param start Specifies the oldest time to be included in the results
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range(@Nonnull final Instant start) {
Arguments.checkNotNull(start, "Start is required");
return new RangeFlux(this).withStart(start);
}
/**
* Filters the results by time boundaries.
*
* @param start Specifies the oldest time to be included in the results
* @param stop Specifies the exclusive newest time to be included in the results
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range(@Nonnull final Instant start, @Nonnull final Instant stop) {
Arguments.checkNotNull(start, "Start is required");
Arguments.checkNotNull(stop, "Stop is required");
return new RangeFlux(this).withStart(start).withStop(stop);
}
/**
* Filters the results by time boundaries.
*
* @param start Specifies the oldest time to be included in the results
* @param unit a {@code ChronoUnit} determining how to interpret the {@code start} parameter
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range(@Nonnull final Long start, @Nonnull final ChronoUnit unit) {
Arguments.checkNotNull(start, "Start is required");
Arguments.checkNotNull(unit, "ChronoUnit is required");
return new RangeFlux(this).withStart(start, unit);
}
/**
* Filters the results by time boundaries.
*
* @param start Specifies the oldest time to be included in the results
* @param stop Specifies the exclusive newest time to be included in the results
* @param unit a {@code ChronoUnit} determining how to interpret the {@code start} and {@code stop} parameter
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range(@Nonnull final Long start, @Nonnull final Long stop, @Nonnull final ChronoUnit unit) {
Arguments.checkNotNull(start, "Start is required");
Arguments.checkNotNull(stop, "Stop is required");
Arguments.checkNotNull(unit, "ChronoUnit is required");
return new RangeFlux(this).withStart(start, unit).withStop(stop, unit);
}
/**
* Filters the results by time boundaries.
*
* @param start Specifies the oldest time (Unix timestamp in seconds) to be included in the results
* @param stop Specifies the exclusive newest time (Unix timestamp in seconds) to be included in the results
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range(final Long start, final Long stop) {
return new RangeFlux(this).withStart(start).withStop(stop);
}
/**
* Filters the results by time boundaries.
*
* @param start Specifies the oldest time (Unix timestamp in seconds) to be included in the results
* @return {@link RangeFlux}
*/
@Nonnull
public final RangeFlux range(final Long start) {
return new RangeFlux(this).withStart(start);
}
/**
* Reduce aggregates records in each table according to the reducer.
*
*
* The parameters had to be defined by:
*
* - {@link ReduceFlux#withFunction(String)}
* - {@link ReduceFlux#withIdentity(String)}
*
*
* @return {@link ReduceFlux}
*/
public final ReduceFlux reduce() {
return new ReduceFlux(this);
}
/**
* Reduce aggregates records in each table according to the reducer.
*
* @param function Function to apply to each record. Example: "{sum: r._value + accumulator.sum}".
* @param identity An initial value to use when creating a reducer. Example: "{sum: 0.0}".
* @return {@link ReduceFlux}
*/
public final ReduceFlux reduce(@Nonnull final String function, @Nonnull final String identity) {
return new ReduceFlux(this).withFunction(function).withIdentity(identity);
}
/**
* Rename will rename specified columns in a table.
*
*
* The parameters had to be defined by:
*
* - {@link RenameFlux#withColumns(Map)}
* - {@link RenameFlux#withFunction(String)}
* - {@link RenameFlux#withPropertyNamed(String)}
* - {@link RenameFlux#withPropertyNamed(String, String)}
* - {@link RenameFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link RenameFlux}
*/
@Nonnull
public final RenameFlux rename() {
return new RenameFlux(this);
}
/**
* Rename will rename specified columns in a table.
*
* @param columns The map of columns to rename and their corresponding new names.
* @return {@link RenameFlux}
*/
@Nonnull
public final RenameFlux rename(@Nonnull final Map columns) {
return new RenameFlux(this).withColumns(columns);
}
/**
* Rename will rename specified columns in a table.
*
* @param function The function which takes a single string parameter (the old column name) and
* returns a string representing the new column name.
* @return {@link RenameFlux}
*/
@Nonnull
public final RenameFlux rename(@Nonnull final String function) {
return new RenameFlux(this).withFunction(function);
}
/**
* Sample values from a table.
*
*
* The parameters had to be defined by:
*
* - {@link SampleFlux#withN(int)}
* - {@link SampleFlux#withPos(int)}
* - {@link SampleFlux#withPropertyNamed(String)}
* - {@link SampleFlux#withPropertyNamed(String, String)}
* - {@link SampleFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link SampleFlux}
*/
@Nonnull
public final SampleFlux sample() {
return new SampleFlux(this);
}
/**
* Sample values from a table.
*
* @param n Sample every Nth element.
* @return {@link SampleFlux}
*/
@Nonnull
public final SampleFlux sample(final int n) {
return new SampleFlux(this)
.withN(n);
}
/**
* Sample values from a table.
*
* @param n Sample every Nth element.
* @param pos Position offset from start of results to begin sampling. Must be less than @{code n}.
* @return {@link SampleFlux}
*/
@Nonnull
public final SampleFlux sample(final int n, final int pos) {
if (pos >= n) {
throw new IllegalArgumentException("pos must be less than n");
}
return new SampleFlux(this)
.withN(n)
.withPos(pos);
}
/**
* Assigns a static value to each record.
*
*
* The parameters had to be defined by:
*
* - {@link SetFlux#withKeyValue(String, String)}
* - {@link SetFlux#withPropertyNamed(String)}
* - {@link SetFlux#withPropertyNamed(String, String)}
* - {@link SetFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link SetFlux}
*/
@Nonnull
public final SetFlux set() {
return new SetFlux(this);
}
/**
* Assigns a static value to each record.
*
* @param key label for the column. Has to be defined.
* @param value value for the column. Has to be defined.
* @return {@link SetFlux}
*/
@Nonnull
public final SetFlux set(@Nonnull final String key, @Nonnull final String value) {
return new SetFlux(this).withKeyValue(key, value);
}
/**
* Shift add a fixed duration to time columns.
*
*
* The parameters had to be defined by:
*
* - {@link TimeShiftFlux#withDuration(Long, ChronoUnit)}
* - {@link TimeShiftFlux#withColumns(String[])}
* - {@link TimeShiftFlux#withColumns(Collection)} )}
* - {@link TimeShiftFlux#withPropertyNamed(String)}
* - {@link TimeShiftFlux#withPropertyNamed(String, String)}
* - {@link TimeShiftFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link TimeShiftFlux}
*/
@Nonnull
public final TimeShiftFlux timeShift() {
return new TimeShiftFlux(this);
}
/**
* Shift add a fixed duration to time columns.
*
* @param amount The amount to add to each time value
* @param unit a {@code ChronoUnit} determining how to interpret the {@code amount} parameter
* @return {@link TimeShiftFlux}
*/
@Nonnull
public final TimeShiftFlux timeShift(@Nonnull final Long amount,
@Nonnull final ChronoUnit unit) {
return new TimeShiftFlux(this).withDuration(amount, unit);
}
/**
* Shift add a fixed duration to time columns.
*
* @param amount The amount to add to each time value
* @param unit a {@code ChronoUnit} determining how to interpret the {@code amount} parameter
* @param columns The list of all columns that should be shifted.
* @return {@link TimeShiftFlux}
*/
@Nonnull
public final TimeShiftFlux timeShift(@Nonnull final Long amount,
@Nonnull final ChronoUnit unit,
@Nonnull final String[] columns) {
return new TimeShiftFlux(this).withDuration(amount, unit).withColumns(columns);
}
/**
* Shift add a fixed duration to time columns.
*
* @param amount The amount to add to each time value
* @param unit a {@code ChronoUnit} determining how to interpret the {@code amount} parameter
* @param columns The list of all columns that should be shifted.
* @return {@link TimeShiftFlux}
*/
@Nonnull
public final TimeShiftFlux timeShift(@Nonnull final Long amount,
@Nonnull final ChronoUnit unit,
@Nonnull final Collection columns) {
return new TimeShiftFlux(this).withDuration(amount, unit).withColumns(columns);
}
/**
* Skew of the results.
*
* @return {@link SkewFlux}
*/
@Nonnull
public final SkewFlux skew() {
return new SkewFlux(this);
}
/**
* Skew of the results.
*
* @param column The column on which to operate.
* @return {@link SkewFlux}
*/
@Nonnull
public final SkewFlux skew(@Nonnull final String column) {
return new SkewFlux(this).withColumn(column);
}
/**
* Sorts the results by the specified columns Default sort is ascending.
*
* @return {@link SortFlux}
*/
@Nonnull
public final SortFlux sort() {
return new SortFlux(this);
}
/**
* Sorts the results by the specified columns Default sort is ascending.
*
* @param desc use the descending sorting
* @return {@link SortFlux}
*/
@Nonnull
public final SortFlux sort(final boolean desc) {
return new SortFlux(this).withDesc(desc);
}
/**
* Sorts the results by the specified columns Default sort is ascending.
*
* @param columns columns used to sort
* @return {@link SortFlux}
*/
@Nonnull
public final SortFlux sort(@Nonnull final String[] columns) {
Arguments.checkNotNull(columns, "Columns are required");
return new SortFlux(this).withColumns(columns);
}
/**
* Sorts the results by the specified columns Default sort is ascending.
*
* @param columns columns used to sort
* @return {@link SortFlux}
*/
@Nonnull
public final SortFlux sort(@Nonnull final Collection columns) {
Arguments.checkNotNull(columns, "Columns are required");
return new SortFlux(this).withColumns(columns);
}
/**
* Sorts the results by the specified columns Default sort is ascending.
*
* @param columns columns used to sort
* @param desc use the descending sorting
* @return {@link SortFlux}
*/
@Nonnull
public final SortFlux sort(@Nonnull final String[] columns, final boolean desc) {
Arguments.checkNotNull(columns, "Columns are required");
return new SortFlux(this)
.withColumns(columns)
.withDesc(desc);
}
/**
* Sorts the results by the specified columns Default sort is ascending.
*
* @param columns columns used to sort
* @param desc use the descending sorting
* @return {@link SortFlux}
*/
@Nonnull
public final SortFlux sort(@Nonnull final Collection columns, final boolean desc) {
Arguments.checkNotNull(columns, "Columns are required");
return new SortFlux(this)
.withColumns(columns)
.withDesc(desc);
}
/**
* Difference between min and max values.
*
* @return {@link SpreadFlux}
*/
@Nonnull
public final SpreadFlux spread() {
return new SpreadFlux(this);
}
/**
* Difference between min and max values.
*
* @param column The column on which to operate.
* @return {@link SpreadFlux}
*/
@Nonnull
public final SpreadFlux spread(@Nonnull final String column) {
return new SpreadFlux(this).withColumn(column);
}
/**
* Standard Deviation of the results.
*
* @return {@link StddevFlux}
*/
@Nonnull
public final StddevFlux stddev() {
return new StddevFlux(this);
}
/**
* Standard Deviation of the results.
*
* @param column The column on which to operate.
* @return {@link StddevFlux}
*/
@Nonnull
public final StddevFlux stddev(@Nonnull final String column) {
return new StddevFlux(this).withColumn(column);
}
/**
* Sum of the results.
*
* @return {@link SumFlux}
*/
@Nonnull
public final SumFlux sum() {
return new SumFlux(this);
}
/**
* Sum of the results.
*
* @param column The column on which to operate.
* @return {@link SumFlux}
*/
@Nonnull
public final SumFlux sum(@Nonnull final String column) {
return new SumFlux(this).withColumn(column);
}
/**
* Caps the number of records in output tables.
*
*
* The parameters had to be defined by:
*
* - {@link TailFlux#withN(int)}
* - {@link TailFlux#withPropertyNamed(String)}
* - {@link TailFlux#withPropertyNamed(String, String)}
* - {@link TailFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link TailFlux}
*/
@Nonnull
public final TailFlux tail() {
return new TailFlux(this);
}
/**
* Caps the number of records in output tables.
*
* @param numberOfResults The number of results
* @return {@link TailFlux}
*/
@Nonnull
public final TailFlux tail(final int numberOfResults) {
return new TailFlux(this).withN(numberOfResults);
}
/**
* Caps the number of records in output tables.
*
* @param numberOfResults The number of results
* @param offset The number of records to skip per table.
* @return {@link TailFlux}
*/
@Nonnull
public final TailFlux tail(final int numberOfResults, final int offset) {
return new TailFlux(this).withN(numberOfResults).withOffset(offset);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
*
* The parameters had to be defined by:
*
* - {@link ToFlux#withBucket(String)}
* - {@link ToFlux#withBucketID(String)}
* - {@link ToFlux#withOrg(String)}
* - {@link ToFlux#withOrgID(String)}
* - {@link ToFlux#withHost(String)}
* - {@link ToFlux#withToken(String)}
* - {@link ToFlux#withTimeColumn(String)}
* - {@link ToFlux#withTagColumns(Collection)}
* - {@link ToFlux#withTagColumns(String[])}
* - {@link ToFlux#withFieldFunction(String)}
* - {@link ToFlux#withPropertyNamed(String)}
* - {@link ToFlux#withPropertyNamed(String, String)}
* - {@link ToFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to() {
return new ToFlux(this);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket) {
return new ToFlux(this)
.withBucket(bucket);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @param org The organization name of the above bucket.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket,
@Nonnull final String org) {
return new ToFlux(this)
.withBucket(bucket)
.withOrg(org);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @param org The organization name of the above bucket.
* @param fieldFn Function that takes a record from the input table and returns an object.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket,
@Nonnull final String org,
@Nonnull final String fieldFn) {
return new ToFlux(this)
.withBucket(bucket)
.withOrg(org)
.withFieldFunction(fieldFn);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @param org The organization name of the above bucket.
* @param tagColumns The tag columns of the output.
* @param fieldFn Function that takes a record from the input table and returns an object.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket,
@Nonnull final String org,
@Nonnull final String[] tagColumns,
@Nonnull final String fieldFn) {
return new ToFlux(this)
.withBucket(bucket)
.withOrg(org)
.withTagColumns(tagColumns)
.withFieldFunction(fieldFn);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @param org The organization name of the above bucket.
* @param tagColumns The tag columns of the output.
* @param fieldFn Function that takes a record from the input table and returns an object.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket,
@Nonnull final String org,
@Nonnull final Collection tagColumns,
@Nonnull final String fieldFn) {
return new ToFlux(this)
.withBucket(bucket)
.withOrg(org)
.withTagColumns(tagColumns)
.withFieldFunction(fieldFn);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @param org The organization name of the above bucket.
* @param host The remote host to write to.
* @param token The authorization token to use when writing to a remote host.
* @param timeColumn The time column of the output.
* @param tagColumns The tag columns of the output.
* @param fieldFn Function that takes a record from the input table and returns an object.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket,
@Nonnull final String org,
@Nonnull final String host,
@Nonnull final String token,
@Nonnull final String timeColumn,
@Nonnull final String[] tagColumns,
@Nonnull final String fieldFn) {
return new ToFlux(this)
.withBucket(bucket)
.withOrg(org)
.withHost(host)
.withToken(token)
.withTimeColumn(timeColumn)
.withTagColumns(tagColumns)
.withFieldFunction(fieldFn);
}
/**
* To operation takes data from a stream and writes it to a bucket.
*
* @param bucket The bucket to which data will be written.
* @param org The organization name of the above bucket.
* @param host The remote host to write to.
* @param token The authorization token to use when writing to a remote host.
* @param timeColumn The time column of the output.
* @param tagColumns The tag columns of the output.
* @param fieldFn Function that takes a record from the input table and returns an object.
* @return {@link ToFlux}
*/
@Nonnull
public final ToFlux to(@Nonnull final String bucket,
@Nonnull final String org,
@Nonnull final String host,
@Nonnull final String token,
@Nonnull final String timeColumn,
@Nonnull final Collection tagColumns,
@Nonnull final String fieldFn) {
return new ToFlux(this)
.withBucket(bucket)
.withOrg(org)
.withHost(host)
.withToken(token)
.withTimeColumn(timeColumn)
.withTagColumns(tagColumns)
.withFieldFunction(fieldFn);
}
/**
* Convert a value to a bool.
*
* @return {@link ToBoolFlux}
*/
@Nonnull
public final ToBoolFlux toBool() {
return new ToBoolFlux(this);
}
/**
* Convert a value to a int.
*
* @return {@link ToIntFlux}
*/
@Nonnull
public final ToIntFlux toInt() {
return new ToIntFlux(this);
}
/**
* Convert a value to a float.
*
* @return {@link ToFloatFlux}
*/
@Nonnull
public final ToFloatFlux toFloat() {
return new ToFloatFlux(this);
}
/**
* Convert a value to a duration.
*
* @return {@link ToDurationFlux}
*/
@Nonnull
public final ToDurationFlux toDuration() {
return new ToDurationFlux(this);
}
/**
* Convert a value to a string.
*
* @return {@link ToStringFlux}
*/
@Nonnull
public final ToStringFlux toStringConvert() {
return new ToStringFlux(this);
}
/**
* Convert a value to a time.
*
* @return {@link ToTimeFlux}
*/
@Nonnull
public final ToTimeFlux toTime() {
return new ToTimeFlux(this);
}
/**
* Convert a value to a uint.
*
* @return {@link ToUIntFlux}
*/
@Nonnull
public final ToUIntFlux toUInt() {
return new ToUIntFlux(this);
}
/**
* Truncates all input time values in the _time to a specified unit.
*
* @param unit Unit of time to truncate to. Has to be defined.
* @return {@link TruncateTimeColumnFlux}
*/
@Nonnull
public final TruncateTimeColumnFlux truncateTimeColumn(@Nonnull final ChronoUnit unit) {
return new TruncateTimeColumnFlux(this).withUnit(unit);
}
/**
* Merges two or more input streams into a single output stream.
*
* @param tables the tables to union
* @return {@link UnionFlux}
*/
public static UnionFlux union(@Nonnull final Flux... tables) {
return new UnionFlux()
.withTables(tables);
}
/**
* Groups the results by a given time range.
*
*
* The parameters had to be defined by:
*
* - {@link WindowFlux#withEvery(Long, ChronoUnit)}
* - {@link WindowFlux#withPeriod(Long, ChronoUnit)}
* - {@link WindowFlux#withOffset(Long, ChronoUnit)}
* - {@link WindowFlux#withOffset(Instant)}
* - {@link WindowFlux#withTimeColumn(String)}
* - {@link WindowFlux#withStartColumn(String)}
* - {@link WindowFlux#withStartColumn(String)}
* - {@link WindowFlux#withPropertyNamed(String)}
* - {@link WindowFlux#withPropertyNamed(String, String)}
* - {@link WindowFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window() {
return new WindowFlux(this);
}
/**
* Groups the results by a given time range.
*
* @param every duration of time between windows
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit) {
Arguments.checkNotNull(every, "Every is required");
Arguments.checkNotNull(everyUnit, "Every ChronoUnit is required");
return new WindowFlux(this).withEvery(every, everyUnit);
}
/**
* Groups the results by a given time range.
*
* @param every duration of time between windows
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}
* @param period duration of the windowed partition
* @param periodUnit a {@code ChronoUnit} determining how to interpret the {@code period}
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit,
@Nonnull final Long period,
@Nonnull final ChronoUnit periodUnit) {
Arguments.checkNotNull(every, "Every is required");
Arguments.checkNotNull(everyUnit, "Every ChronoUnit is required");
Arguments.checkNotNull(period, "Period is required");
Arguments.checkNotNull(periodUnit, "Period ChronoUnit is required");
return new WindowFlux(this)
.withEvery(every, everyUnit)
.withPeriod(period, periodUnit);
}
/**
* Groups the results by a given time range.
*
* @param every duration of time between windows
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}
* @param period duration of the windowed partition
* @param periodUnit a {@code ChronoUnit} determining how to interpret the {@code period}
* @param offset The offset duration relative to the location offset
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit,
@Nonnull final Long period,
@Nonnull final ChronoUnit periodUnit,
@Nonnull final Instant offset) {
return new WindowFlux(this)
.withEvery(every, everyUnit)
.withPeriod(period, periodUnit)
.withOffset(offset);
}
/**
* Groups the results by a given time range.
*
* @param every duration of time between windows
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}
* @param period duration of the windowed partition
* @param periodUnit a {@code ChronoUnit} determining how to interpret the {@code period}
* @param offset The offset duration relative to the location offset
* @param offsetUnit a {@code ChronoUnit} determining how to interpret the {@code offset}
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit,
@Nonnull final Long period,
@Nonnull final ChronoUnit periodUnit,
@Nonnull final Long offset,
@Nonnull final ChronoUnit offsetUnit) {
return new WindowFlux(this)
.withEvery(every, everyUnit)
.withPeriod(period, periodUnit)
.withOffset(offset, offsetUnit);
}
/**
* Partitions the results by a given time range.
*
* @param every duration of time between windows
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}
* @param period duration of the windowed partition
* @param periodUnit a {@code ChronoUnit} determining how to interpret the {@code period}
* @param offset The offset duration relative to the location offset
* @param offsetUnit a {@code ChronoUnit} determining how to interpret the {@code offset}
* @param timeColumn name of the time column to use
* @param startColumn name of the column containing the window start time
* @param stopColumn name of the column containing the window stop time
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit,
@Nonnull final Long period,
@Nonnull final ChronoUnit periodUnit,
@Nonnull final Long offset,
@Nonnull final ChronoUnit offsetUnit,
@Nonnull final String timeColumn,
@Nonnull final String startColumn,
@Nonnull final String stopColumn) {
return new WindowFlux(this)
.withEvery(every, everyUnit)
.withPeriod(period, periodUnit)
.withOffset(offset, offsetUnit)
.withTimeColumn(timeColumn)
.withStartColumn(startColumn)
.withStopCol(stopColumn);
}
/**
* Partitions the results by a given time range.
*
* @param every duration of time between windows
* @param everyUnit a {@code ChronoUnit} determining how to interpret the {@code every}
* @param period duration of the windowed partition
* @param periodUnit a {@code ChronoUnit} determining how to interpret the {@code period}
* @param offset The offset duration relative to the location offset
* @param timeColumn name of the time column to use
* @param startColumn name of the column containing the window start time
* @param stopColumn name of the column containing the window stop time
* @return {@link WindowFlux}
*/
@Nonnull
public final WindowFlux window(@Nonnull final Long every,
@Nonnull final ChronoUnit everyUnit,
@Nonnull final Long period,
@Nonnull final ChronoUnit periodUnit,
@Nonnull final Instant offset,
@Nonnull final String timeColumn,
@Nonnull final String startColumn,
@Nonnull final String stopColumn) {
return new WindowFlux(this)
.withEvery(every, everyUnit)
.withPeriod(period, periodUnit)
.withOffset(offset)
.withTimeColumn(timeColumn)
.withStartColumn(startColumn)
.withStopCol(stopColumn);
}
/**
* Yield a query results to yielded results.
*
*
* The parameters had to be defined by:
*
* - {@link YieldFlux#withName(String)}
* - {@link YieldFlux#withPropertyNamed(String)}
* - {@link YieldFlux#withPropertyNamed(String, String)}
* - {@link YieldFlux#withPropertyValueEscaped(String, String)}
*
*
* @return {@link YieldFlux}
*/
@Nonnull
public final YieldFlux yield() {
return new YieldFlux(this);
}
/**
* Yield a query results to yielded results.
*
* @param name The unique name to give to yielded results. Has to be defined.
* @return {@link YieldFlux}
*/
@Nonnull
public final YieldFlux yield(@Nonnull final String name) {
return new YieldFlux(this).withName(name);
}
/**
* Write the custom Flux expression.
*
* @param expression flux expression
* @return {@link ExpressionFlux}
*/
@Nonnull
public final ExpressionFlux expression(@Nonnull final String expression) {
Arguments.checkNonEmpty(expression, "Expression");
return new ExpressionFlux(this, expression);
}
/**
* Create new function with type {@code type}.
*
*
* Flux flux = Flux
* .from("telegraf")
* .function(FilterMeasurement.class)
* .withName("cpu")
* .sum();
*
*
* @param type function type
* @param function type
* @return function with {@code type}
*/
@Nonnull
public final F function(@Nonnull final Class type) {
Arguments.checkNotNull(type, "Function type");
try {
return type.getConstructor(Flux.class).newInstance(this);
} catch (Exception e) {
throw new RuntimeException(e);
}
}
/**
* Creates a piped function call.
*
*
* Example Definition
*
* public static class MultByXFunction extends AbstractFunctionFlux<MultByXFunction.MultByXFunctionCall> {
*
* public MultByXFunction() {
* super("multByX",
* new FreestyleExpression("tables")
* .map("(r) => ({r with _value: r._value * x})"),
* MultByXFunctionCall::new,
* new Parameter("tables").withPipeForward(true),
* new Parameter("x"));
* }
*
* public static class MultByXFunctionCall extends AbstractFunctionCallFlux {
*
* public MultByXFunctionCall(@Nonnull String name) {
* super(name);
* }
*
* public MultByXFunctionCall withX(final Number x) {
* this.withPropertyValue("x", x);
* return this;
* }
* }
* }
*
*
* Example Usage
*
* MultByXFunction multByX = new MultByXFunction();
*
* Expressions flux = new Expressions(
* multByX,
* Flux.from("telegraph")
* .withPipedFunction(multByX)
* .withX(42.)
* .count()
* );
*
*
* @param fun the function to be piped
* @param the type of the invocation
* @return the invocation
*/
public CALL withPipedFunction(final AbstractFunctionFlux fun) {
return fun.invokePiped(this);
}
/**
* Add named property to current function.
*
*
* FluxChain fluxChain = new FluxChain()
* .withPropertyNamed("every", 15, ChronoUnit.MINUTES)
* .withPropertyNamed("period", 20L, ChronoUnit.SECONDS)
* .withPropertyNamed("start", -50, ChronoUnit.DAYS)
* .withPropertyNamed("round", 1L, ChronoUnit.HOURS);
*
* Flux flux = Flux.from("telegraf")
* .window()
* .withPropertyNamed("every")
* .withPropertyNamed("period")
* .withPropertyNamed("start")
* .withPropertyNamed("round")
* .sum();
*
* flux.print(fluxChain);
*
*
* @param property name in Flux query and in named properties
* @return a current function.
*/
@Nonnull
public final Flux withPropertyNamed(@Nonnull final String property) {
return withPropertyNamed(property, property);
}
/**
* Add named property to current function.
*
*
* Flux flux = Flux
* .from("telegraf")
* .limit()
* .withPropertyNamed("n", "limit")
* .sum();
*
* FluxChain fluxChain = new FluxChain()
* .withPropertyNamed("limit", 15);
*
* flux.print(fluxChain);
*
*
* @param fluxName name in Flux query
* @param namedProperty name in named properties
* @return a current function
*/
@Nonnull
public final Flux withPropertyNamed(@Nonnull final String fluxName, @Nonnull final String namedProperty) {
Arguments.checkNonEmpty(fluxName, "Flux property name");
Arguments.checkNonEmpty(namedProperty, "Named property");
this.functionsParameters.putPropertyNamed(fluxName, namedProperty);
return this;
}
/**
* Add property value to current function.
*
*
* Flux flux = Flux
* .from("telegraf")
* .limit()
* .withPropertyValue("n", 5)
* .sum();
*
*
* @param propertyName name in Flux query
* @param value value of property. If null than ignored.
* @return a current function
*/
@Nonnull
public final Flux withPropertyValue(@Nonnull final String propertyName, @Nullable final Object value) {
Arguments.checkNonEmpty(propertyName, "Flux property name");
this.functionsParameters.putPropertyValue(propertyName, value);
return this;
}
/**
* Add named function to current function.
*
*
* Flux flux = Flux
* .from("telegraf")
* .drop()
* .withFunction("fn", "column =~ free*");
*
*
* @param functionName name in Flux query
* @param function defined function
* @return a current function
*/
@Nonnull
public final Flux withFunction(@Nonnull final String functionName, @Nullable final Object function) {
Arguments.checkNonEmpty(functionName, "functionName");
this.functionsParameters.putFunctionValue(functionName, function);
return this;
}
/**
* Add named function to current function.
*
*
* Map<String, Object> parameters = new HashMap<>();
* parameters.put("function", "r._value * 10");
*
* Flux flux = Flux
* .from("telegraf")
* .range(-12L, ChronoUnit.HOURS)
* .map()
* .withFunctionNamed("fn: (r)", "function");
*
*
* @param functionName name in Flux query
* @param namedProperty name in named properties
* @return a current function
*/
@Nonnull
public final Flux withFunctionNamed(@Nonnull final String functionName, @Nonnull final String namedProperty) {
Arguments.checkNonEmpty(functionName, "functionName");
Arguments.checkNonEmpty(namedProperty, "namedProperty");
this.functionsParameters.putFunctionNamed(functionName, namedProperty);
return this;
}
/**
* Add string property value to current function that will be quoted (value => "value").
*
*
* Flux flux = Flux
* .from("telegraf")
* .window(5, ChronoUnit.MINUTES)
* .withPropertyValueEscaped("startColumn", "differentCol")
* .sum();
*
*
* @param property name of property in Flux query
* @param amount the amount of the duration, measured in terms of the unit, positive or negative
* @param unit the unit that the duration is measured in, must have an exact duration. If null than ignored.
* @return a current function
*/
@Nonnull
public final Flux withPropertyValue(@Nonnull final String property,
@Nullable final Long amount,
@Nullable final ChronoUnit unit) {
Arguments.checkNonEmpty(property, "Flux property name");
this.functionsParameters.putPropertyValue(property, amount, unit);
return this;
}
/**
* Add string property value to current function that will be quoted (value => "value").
*
*
* Flux flux = Flux
* .from("telegraf")
* .window(5, ChronoUnit.MINUTES)
* .withPropertyValueEscaped("startColumn", "differentCol")
* .sum();
*
*
* @param property name of property in Flux query
* @param value value of property. If null than ignored.
* @return a current function
*/
@Nonnull
public final Flux withPropertyValueEscaped(@Nonnull final String property, @Nullable final String value) {
Arguments.checkNonEmpty(property, "Flux property name");
this.functionsParameters.putPropertyValueString(property, value);
return this;
}
/**
* Append actual Flux function to Flux query.
*
* @param parameters named parameters for Flux query
* @param builder Flux query chaing
*/
public abstract void appendActual(@Nonnull final Map parameters,
@Nonnull final StringBuilder builder);
/**
* Create the Flux query that can be executed by FluxService.
*
* @return Flux query
*/
@Nonnull
@Override
public String toString() {
return toString(new HashMap<>());
}
/**
* Create the Flux query that can be executed by FluxService.
*
* @param parameters flux query named parameters
* @return Flux query
*/
@Nonnull
public String toString(@Nonnull final Map parameters) {
return toString(parameters, true);
}
@Override
public String toString(@Nonnull final Map parameters, final boolean prependImports) {
Arguments.checkNotNull(parameters, "Parameters are required");
StringBuilder builder = new StringBuilder();
if (prependImports) {
builder.append(ImportUtils.getImportsString(this));
}
appendActual(parameters, builder);
return builder.toString();
}
/**
* Converts this flux to a variable assignment so multiple fluxes can be used in conjunction with
* {@link Expressions}.
*
* @param name the name of the variable
* @return a variable assignment
* @see Expressions
*/
public VariableAssignment asVariable(final String name) {
return new VariableAssignment(name, this);
}
/**
* @return all used imports of this flux
*/
@Override
public Set getImports() {
Set collectedImports = new TreeSet<>();
collectImports(collectedImports);
return collectedImports;
}
/**
* Collects all imports of the flux.
*
* @param collectedImports a set to be filled by the used imports
*/
public void collectImports(@Nonnull final Set collectedImports) {
if (imports != null) {
collectedImports.addAll(imports);
}
}
/**
* Adds a new import to this flux.
*
* @param pImport the import to be added
* @return this
*/
protected Flux addImport(final String pImport) {
if (imports == null) {
imports = new HashSet<>();
}
imports.add(pImport);
return this;
}
}