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1 | 1 | /** |
2 | 2 | * Copyright © 2016-2017 The Thingsboard Authors |
3 | - * <p> | |
3 | + * | |
4 | 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
5 | 5 | * you may not use this file except in compliance with the License. |
6 | 6 | * You may obtain a copy of the License at |
7 | - * <p> | |
8 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | - * <p> | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | 10 | * Unless required by applicable law or agreed to in writing, software |
11 | 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
12 | 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ... | ... |
... | ... | @@ -140,7 +140,7 @@ cassandra: |
140 | 140 | # Specify partitioning size for timestamp key-value storage. Example MINUTES, HOURS, DAYS, MONTHS |
141 | 141 | ts_key_value_partitioning: "${TS_KV_PARTITIONING:MONTHS}" |
142 | 142 | # Specify max data points per request |
143 | - max_limit_per_request: "${TS_KV_MAX_LIMIT_PER_REQUEST:86400}" | |
143 | + min_aggregation_step_ms: "${TS_KV_MIN_AGGREGATION_STEP_MS:100}" | |
144 | 144 | |
145 | 145 | # Actor system parameters |
146 | 146 | actors: | ... | ... |
1 | +/** | |
2 | + * Copyright © 2016-2017 The Thingsboard Authors | |
3 | + * | |
4 | + * Licensed under the Apache License, Version 2.0 (the "License"); | |
5 | + * you may not use this file except in compliance with the License. | |
6 | + * You may obtain a copy of the License at | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | + * Unless required by applicable law or agreed to in writing, software | |
11 | + * distributed under the License is distributed on an "AS IS" BASIS, | |
12 | + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
13 | + * See the License for the specific language governing permissions and | |
14 | + * limitations under the License. | |
15 | + */ | |
1 | 16 | package org.thingsboard.server.common.data.kv; |
2 | 17 | |
3 | 18 | /** | ... | ... |
1 | 1 | /** |
2 | 2 | * Copyright © 2016-2017 The Thingsboard Authors |
3 | - * <p> | |
3 | + * | |
4 | 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
5 | 5 | * you may not use this file except in compliance with the License. |
6 | 6 | * You may obtain a copy of the License at |
7 | - * <p> | |
8 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | - * <p> | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | 10 | * Unless required by applicable law or agreed to in writing, software |
11 | 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
12 | 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ... | ... |
1 | 1 | /** |
2 | 2 | * Copyright © 2016-2017 The Thingsboard Authors |
3 | - * <p> | |
3 | + * | |
4 | 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
5 | 5 | * you may not use this file except in compliance with the License. |
6 | 6 | * You may obtain a copy of the License at |
7 | - * <p> | |
8 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | - * <p> | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | 10 | * Unless required by applicable law or agreed to in writing, software |
11 | 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
12 | 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
... | ... | @@ -19,6 +19,7 @@ import java.util.UUID; |
19 | 19 | |
20 | 20 | import com.datastax.driver.core.utils.UUIDs; |
21 | 21 | import org.apache.commons.lang3.ArrayUtils; |
22 | +import org.thingsboard.server.common.data.kv.Aggregation; | |
22 | 23 | |
23 | 24 | public class ModelConstants { |
24 | 25 | |
... | ... | @@ -261,16 +262,17 @@ public class ModelConstants { |
261 | 262 | public static final String LONG_VALUE_COLUMN = "long_v"; |
262 | 263 | public static final String DOUBLE_VALUE_COLUMN = "dbl_v"; |
263 | 264 | |
265 | + public static final String[] NONE_AGGREGATION_COLUMNS = new String[]{LONG_VALUE_COLUMN, DOUBLE_VALUE_COLUMN, BOOLEAN_VALUE_COLUMN, STRING_VALUE_COLUMN, KEY_COLUMN, TS_COLUMN}; | |
266 | + | |
264 | 267 | public static final String[] COUNT_AGGREGATION_COLUMNS = new String[]{count(LONG_VALUE_COLUMN), count(DOUBLE_VALUE_COLUMN), count(BOOLEAN_VALUE_COLUMN), count(STRING_VALUE_COLUMN)}; |
265 | 268 | |
266 | - public static final String[] NONE_AGGREGATION_COLUMNS = new String[]{LONG_VALUE_COLUMN, DOUBLE_VALUE_COLUMN, BOOLEAN_VALUE_COLUMN, STRING_VALUE_COLUMN,}; | |
267 | 269 | public static final String[] MIN_AGGREGATION_COLUMNS = ArrayUtils.addAll(COUNT_AGGREGATION_COLUMNS, |
268 | 270 | new String[]{min(LONG_VALUE_COLUMN), min(DOUBLE_VALUE_COLUMN), min(BOOLEAN_VALUE_COLUMN), min(STRING_VALUE_COLUMN)}); |
269 | 271 | public static final String[] MAX_AGGREGATION_COLUMNS = ArrayUtils.addAll(COUNT_AGGREGATION_COLUMNS, |
270 | 272 | new String[]{max(LONG_VALUE_COLUMN), max(DOUBLE_VALUE_COLUMN), max(BOOLEAN_VALUE_COLUMN), max(STRING_VALUE_COLUMN)}); |
271 | 273 | public static final String[] SUM_AGGREGATION_COLUMNS = ArrayUtils.addAll(COUNT_AGGREGATION_COLUMNS, |
272 | 274 | new String[]{sum(LONG_VALUE_COLUMN), sum(DOUBLE_VALUE_COLUMN)}); |
273 | - public static final String[] AVG_AGGREGATION_COLUMNS = ArrayUtils.addAll(COUNT_AGGREGATION_COLUMNS, SUM_AGGREGATION_COLUMNS); | |
275 | + public static final String[] AVG_AGGREGATION_COLUMNS = SUM_AGGREGATION_COLUMNS; | |
274 | 276 | |
275 | 277 | public static String min(String s) { |
276 | 278 | return "min(" + s + ")"; |
... | ... | @@ -287,4 +289,23 @@ public class ModelConstants { |
287 | 289 | public static String count(String s) { |
288 | 290 | return "count(" + s + ")"; |
289 | 291 | } |
292 | + | |
293 | + public static String[] getFetchColumnNames(Aggregation aggregation) { | |
294 | + switch (aggregation) { | |
295 | + case NONE: | |
296 | + return NONE_AGGREGATION_COLUMNS; | |
297 | + case MIN: | |
298 | + return MIN_AGGREGATION_COLUMNS; | |
299 | + case MAX: | |
300 | + return MAX_AGGREGATION_COLUMNS; | |
301 | + case SUM: | |
302 | + return SUM_AGGREGATION_COLUMNS; | |
303 | + case COUNT: | |
304 | + return COUNT_AGGREGATION_COLUMNS; | |
305 | + case AVG: | |
306 | + return AVG_AGGREGATION_COLUMNS; | |
307 | + default: | |
308 | + throw new RuntimeException("Aggregation type: " + aggregation + " is not supported!"); | |
309 | + } | |
310 | + } | |
290 | 311 | } | ... | ... |
1 | +/** | |
2 | + * Copyright © 2016-2017 The Thingsboard Authors | |
3 | + * | |
4 | + * Licensed under the Apache License, Version 2.0 (the "License"); | |
5 | + * you may not use this file except in compliance with the License. | |
6 | + * You may obtain a copy of the License at | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | + * Unless required by applicable law or agreed to in writing, software | |
11 | + * distributed under the License is distributed on an "AS IS" BASIS, | |
12 | + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
13 | + * See the License for the specific language governing permissions and | |
14 | + * limitations under the License. | |
15 | + */ | |
1 | 16 | package org.thingsboard.server.dao.timeseries; |
2 | 17 | |
3 | 18 | import com.datastax.driver.core.ResultSet; |
... | ... | @@ -84,8 +99,11 @@ public class AggregatePartitionsFunction implements com.google.common.base.Funct |
84 | 99 | count += curCount; |
85 | 100 | } else if (aggregation == Aggregation.AVG || aggregation == Aggregation.SUM) { |
86 | 101 | count += curCount; |
87 | - dValue = dValue == null ? curDValue : dValue + curDValue; | |
88 | - lValue = lValue == null ? curLValue : lValue + curLValue; | |
102 | + if (curDValue != null) { | |
103 | + dValue = dValue == null ? curDValue : dValue + curDValue; | |
104 | + } else if (curLValue != null) { | |
105 | + lValue = lValue == null ? curLValue : lValue + curLValue; | |
106 | + } | |
89 | 107 | } else if (aggregation == Aggregation.MIN) { |
90 | 108 | if (curDValue != null) { |
91 | 109 | dValue = dValue == null ? curDValue : Math.min(dValue, curDValue); | ... | ... |
1 | 1 | /** |
2 | 2 | * Copyright © 2016-2017 The Thingsboard Authors |
3 | - * <p> | |
3 | + * | |
4 | 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
5 | 5 | * you may not use this file except in compliance with the License. |
6 | 6 | * You may obtain a copy of the License at |
7 | - * <p> | |
8 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | - * <p> | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | 10 | * Unless required by applicable law or agreed to in writing, software |
11 | 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
12 | 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
... | ... | @@ -20,6 +20,7 @@ import com.datastax.driver.core.querybuilder.QueryBuilder; |
20 | 20 | import com.datastax.driver.core.querybuilder.Select; |
21 | 21 | import com.google.common.base.Function; |
22 | 22 | import com.google.common.util.concurrent.AsyncFunction; |
23 | +import com.google.common.util.concurrent.FutureCallback; | |
23 | 24 | import com.google.common.util.concurrent.Futures; |
24 | 25 | import com.google.common.util.concurrent.ListenableFuture; |
25 | 26 | import lombok.extern.slf4j.Slf4j; |
... | ... | @@ -51,14 +52,8 @@ import static com.datastax.driver.core.querybuilder.QueryBuilder.select; |
51 | 52 | @Slf4j |
52 | 53 | public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
53 | 54 | |
54 | - @Value("${cassandra.query.max_limit_per_request}") | |
55 | - protected Integer maxLimitPerRequest; | |
56 | - | |
57 | - @Value("${cassandra.query.read_result_processing_threads}") | |
58 | - private int readResultsProcessingThreads; | |
59 | - | |
60 | - @Value("${cassandra.query.min_read_step}") | |
61 | - private int minReadStep; | |
55 | + @Value("${cassandra.query.min_aggregation_step_ms}") | |
56 | + private int minAggregationStepMs; | |
62 | 57 | |
63 | 58 | @Value("${cassandra.query.ts_key_value_partitioning}") |
64 | 59 | private String partitioning; |
... | ... | @@ -77,7 +72,7 @@ public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
77 | 72 | @PostConstruct |
78 | 73 | public void init() { |
79 | 74 | getFetchStmt(Aggregation.NONE); |
80 | - readResultsProcessingExecutor = Executors.newFixedThreadPool(readResultsProcessingThreads); | |
75 | + readResultsProcessingExecutor = Executors.newCachedThreadPool(); | |
81 | 76 | Optional<TsPartitionDate> partition = TsPartitionDate.parse(partitioning); |
82 | 77 | if (partition.isPresent()) { |
83 | 78 | tsFormat = partition.get(); |
... | ... | @@ -100,33 +95,12 @@ public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
100 | 95 | return tsFormat.truncatedTo(time).toInstant(ZoneOffset.UTC).toEpochMilli(); |
101 | 96 | } |
102 | 97 | |
103 | - | |
104 | - private static String[] getFetchColumnNames(Aggregation aggregation) { | |
105 | - switch (aggregation) { | |
106 | - case NONE: | |
107 | - return ModelConstants.NONE_AGGREGATION_COLUMNS; | |
108 | - case MIN: | |
109 | - return ModelConstants.MIN_AGGREGATION_COLUMNS; | |
110 | - case MAX: | |
111 | - return ModelConstants.MAX_AGGREGATION_COLUMNS; | |
112 | - case SUM: | |
113 | - return ModelConstants.SUM_AGGREGATION_COLUMNS; | |
114 | - case COUNT: | |
115 | - return ModelConstants.COUNT_AGGREGATION_COLUMNS; | |
116 | - case AVG: | |
117 | - return ModelConstants.AVG_AGGREGATION_COLUMNS; | |
118 | - default: | |
119 | - throw new RuntimeException("Aggregation type: " + aggregation + " is not supported!"); | |
120 | - } | |
121 | - } | |
122 | - | |
123 | 98 | @Override |
124 | - public ListenableFuture<List<TsKvEntry>> findAllAsync(String entityType, UUID entityId, TsKvQuery query, long minPartition, long maxPartition) { | |
99 | + public ListenableFuture<List<TsKvEntry>> findAllAsync(String entityType, UUID entityId, TsKvQuery query) { | |
125 | 100 | if (query.getAggregation() == Aggregation.NONE) { |
126 | - //TODO: | |
127 | - return null; | |
101 | + return findAllAsyncWithLimit(entityType, entityId, query); | |
128 | 102 | } else { |
129 | - long step = Math.max((query.getEndTs() - query.getStartTs()) / query.getLimit(), minReadStep); | |
103 | + long step = Math.max((query.getEndTs() - query.getStartTs()) / query.getLimit(), minAggregationStepMs); | |
130 | 104 | long stepTs = query.getStartTs(); |
131 | 105 | List<ListenableFuture<Optional<TsKvEntry>>> futures = new ArrayList<>(); |
132 | 106 | while (stepTs < query.getEndTs()) { |
... | ... | @@ -143,23 +117,88 @@ public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
143 | 117 | public List<TsKvEntry> apply(@Nullable List<Optional<TsKvEntry>> input) { |
144 | 118 | return input.stream().filter(v -> v.isPresent()).map(v -> v.get()).collect(Collectors.toList()); |
145 | 119 | } |
146 | - }); | |
120 | + }, readResultsProcessingExecutor); | |
121 | + } | |
122 | + } | |
123 | + | |
124 | + private ListenableFuture<List<TsKvEntry>> findAllAsyncWithLimit(String entityType, UUID entityId, TsKvQuery query) { | |
125 | + long minPartition = query.getStartTs(); | |
126 | + long maxPartition = query.getEndTs(); | |
127 | + | |
128 | + ResultSetFuture partitionsFuture = fetchPartitions(entityType, entityId, query.getKey(), minPartition, maxPartition); | |
129 | + | |
130 | + final SimpleListenableFuture<List<TsKvEntry>> resultFuture = new SimpleListenableFuture<>(); | |
131 | + final ListenableFuture<List<Long>> partitionsListFuture = Futures.transform(partitionsFuture, getPartitionsArrayFunction(), readResultsProcessingExecutor); | |
132 | + | |
133 | + Futures.addCallback(partitionsListFuture, new FutureCallback<List<Long>>() { | |
134 | + @Override | |
135 | + public void onSuccess(@Nullable List<Long> partitions) { | |
136 | + TsKvQueryCursor cursor = new TsKvQueryCursor(entityType, entityId, query, partitions); | |
137 | + findAllAsyncSequentiallyWithLimit(cursor, resultFuture); | |
138 | + } | |
139 | + | |
140 | + @Override | |
141 | + public void onFailure(Throwable t) { | |
142 | + log.error("[{}][{}] Failed to fetch partitions for interval {}-{}", entityType, entityId, minPartition, maxPartition, t); | |
143 | + } | |
144 | + }, readResultsProcessingExecutor); | |
145 | + | |
146 | + return resultFuture; | |
147 | + } | |
148 | + | |
149 | + private void findAllAsyncSequentiallyWithLimit(final TsKvQueryCursor cursor, final SimpleListenableFuture<List<TsKvEntry>> resultFuture) { | |
150 | + if (cursor.isFull() || !cursor.hasNextPartition()) { | |
151 | + resultFuture.set(cursor.getData()); | |
152 | + } else { | |
153 | + PreparedStatement proto = getFetchStmt(Aggregation.NONE); | |
154 | + BoundStatement stmt = proto.bind(); | |
155 | + stmt.setString(0, cursor.getEntityType()); | |
156 | + stmt.setUUID(1, cursor.getEntityId()); | |
157 | + stmt.setString(2, cursor.getKey()); | |
158 | + stmt.setLong(3, cursor.getNextPartition()); | |
159 | + stmt.setLong(4, cursor.getStartTs()); | |
160 | + stmt.setLong(5, cursor.getEndTs()); | |
161 | + stmt.setInt(6, cursor.getCurrentLimit()); | |
162 | + | |
163 | + Futures.addCallback(executeAsyncRead(stmt), new FutureCallback<ResultSet>() { | |
164 | + @Override | |
165 | + public void onSuccess(@Nullable ResultSet result) { | |
166 | + cursor.addData(convertResultToTsKvEntryList(result.all())); | |
167 | + findAllAsyncSequentiallyWithLimit(cursor, resultFuture); | |
168 | + } | |
169 | + | |
170 | + @Override | |
171 | + public void onFailure(Throwable t) { | |
172 | + log.error("[{}][{}] Failed to fetch data for query {}-{}", stmt, t); | |
173 | + } | |
174 | + }, readResultsProcessingExecutor); | |
147 | 175 | } |
148 | 176 | } |
149 | 177 | |
150 | 178 | private ListenableFuture<Optional<TsKvEntry>> findAndAggregateAsync(String entityType, UUID entityId, TsKvQuery query, long minPartition, long maxPartition) { |
151 | 179 | final Aggregation aggregation = query.getAggregation(); |
180 | + final String key = query.getKey(); | |
152 | 181 | final long startTs = query.getStartTs(); |
153 | 182 | final long endTs = query.getEndTs(); |
154 | 183 | final long ts = startTs + (endTs - startTs) / 2; |
155 | 184 | |
156 | - ResultSetFuture partitionsFuture = fetchPartitions(entityType, entityId, query.getKey(), minPartition, maxPartition); | |
157 | - com.google.common.base.Function<ResultSet, List<Long>> toArrayFunction = rows -> rows.all().stream() | |
158 | - .map(row -> row.getLong(ModelConstants.PARTITION_COLUMN)).collect(Collectors.toList()); | |
185 | + ResultSetFuture partitionsFuture = fetchPartitions(entityType, entityId, key, minPartition, maxPartition); | |
186 | + | |
187 | + ListenableFuture<List<Long>> partitionsListFuture = Futures.transform(partitionsFuture, getPartitionsArrayFunction(), readResultsProcessingExecutor); | |
159 | 188 | |
160 | - ListenableFuture<List<Long>> partitionsListFuture = Futures.transform(partitionsFuture, toArrayFunction, readResultsProcessingExecutor); | |
189 | + ListenableFuture<List<ResultSet>> aggregationChunks = Futures.transform(partitionsListFuture, | |
190 | + getFetchChunksAsyncFunction(entityType, entityId, key, aggregation, startTs, endTs), readResultsProcessingExecutor); | |
161 | 191 | |
162 | - AsyncFunction<List<Long>, List<ResultSet>> fetchChunksFunction = partitions -> { | |
192 | + return Futures.transform(aggregationChunks, new AggregatePartitionsFunction(aggregation, key, ts), readResultsProcessingExecutor); | |
193 | + } | |
194 | + | |
195 | + private Function<ResultSet, List<Long>> getPartitionsArrayFunction() { | |
196 | + return rows -> rows.all().stream() | |
197 | + .map(row -> row.getLong(ModelConstants.PARTITION_COLUMN)).collect(Collectors.toList()); | |
198 | + } | |
199 | + | |
200 | + private AsyncFunction<List<Long>, List<ResultSet>> getFetchChunksAsyncFunction(String entityType, UUID entityId, String key, Aggregation aggregation, long startTs, long endTs) { | |
201 | + return partitions -> { | |
163 | 202 | try { |
164 | 203 | PreparedStatement proto = getFetchStmt(aggregation); |
165 | 204 | List<ResultSetFuture> futures = new ArrayList<>(partitions.size()); |
... | ... | @@ -167,7 +206,7 @@ public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
167 | 206 | BoundStatement stmt = proto.bind(); |
168 | 207 | stmt.setString(0, entityType); |
169 | 208 | stmt.setUUID(1, entityId); |
170 | - stmt.setString(2, query.getKey()); | |
209 | + stmt.setString(2, key); | |
171 | 210 | stmt.setLong(3, partition); |
172 | 211 | stmt.setLong(4, startTs); |
173 | 212 | stmt.setLong(5, endTs); |
... | ... | @@ -180,10 +219,6 @@ public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
180 | 219 | throw e; |
181 | 220 | } |
182 | 221 | }; |
183 | - | |
184 | - ListenableFuture<List<ResultSet>> aggregationChunks = Futures.transform(partitionsListFuture, fetchChunksFunction, readResultsProcessingExecutor); | |
185 | - | |
186 | - return Futures.transform(aggregationChunks, new AggregatePartitionsFunction(aggregation, query.getKey(), ts), readResultsProcessingExecutor); | |
187 | 222 | } |
188 | 223 | |
189 | 224 | @Override |
... | ... | @@ -320,14 +355,21 @@ public class BaseTimeseriesDao extends AbstractDao implements TimeseriesDao { |
320 | 355 | if (fetchStmts == null) { |
321 | 356 | fetchStmts = new PreparedStatement[Aggregation.values().length]; |
322 | 357 | for (Aggregation type : Aggregation.values()) { |
323 | - fetchStmts[type.ordinal()] = getSession().prepare("SELECT " + | |
324 | - String.join(", ", getFetchColumnNames(type)) + " FROM " + ModelConstants.TS_KV_CF | |
325 | - + " WHERE " + ModelConstants.ENTITY_TYPE_COLUMN + " = ? " | |
326 | - + "AND " + ModelConstants.ENTITY_ID_COLUMN + " = ? " | |
327 | - + "AND " + ModelConstants.KEY_COLUMN + " = ? " | |
328 | - + "AND " + ModelConstants.PARTITION_COLUMN + " = ? " | |
329 | - + "AND " + ModelConstants.TS_COLUMN + " > ? " | |
330 | - + "AND " + ModelConstants.TS_COLUMN + " <= ?"); | |
358 | + if (type == Aggregation.SUM && fetchStmts[Aggregation.AVG.ordinal()] != null) { | |
359 | + fetchStmts[type.ordinal()] = fetchStmts[Aggregation.AVG.ordinal()]; | |
360 | + } else if (type == Aggregation.AVG && fetchStmts[Aggregation.SUM.ordinal()] != null) { | |
361 | + fetchStmts[type.ordinal()] = fetchStmts[Aggregation.SUM.ordinal()]; | |
362 | + } else { | |
363 | + fetchStmts[type.ordinal()] = getSession().prepare("SELECT " + | |
364 | + String.join(", ", ModelConstants.getFetchColumnNames(type)) + " FROM " + ModelConstants.TS_KV_CF | |
365 | + + " WHERE " + ModelConstants.ENTITY_TYPE_COLUMN + " = ? " | |
366 | + + "AND " + ModelConstants.ENTITY_ID_COLUMN + " = ? " | |
367 | + + "AND " + ModelConstants.KEY_COLUMN + " = ? " | |
368 | + + "AND " + ModelConstants.PARTITION_COLUMN + " = ? " | |
369 | + + "AND " + ModelConstants.TS_COLUMN + " > ? " | |
370 | + + "AND " + ModelConstants.TS_COLUMN + " <= ?" | |
371 | + + (type == Aggregation.NONE ? " ORDER BY " + ModelConstants.TS_COLUMN + " DESC LIMIT ?" : "")); | |
372 | + } | |
331 | 373 | } |
332 | 374 | } |
333 | 375 | return fetchStmts[aggType.ordinal()]; | ... | ... |
1 | 1 | /** |
2 | 2 | * Copyright © 2016-2017 The Thingsboard Authors |
3 | - * <p> | |
3 | + * | |
4 | 4 | * Licensed under the Apache License, Version 2.0 (the "License"); |
5 | 5 | * you may not use this file except in compliance with the License. |
6 | 6 | * You may obtain a copy of the License at |
7 | - * <p> | |
8 | - * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | - * <p> | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | 10 | * Unless required by applicable law or agreed to in writing, software |
11 | 11 | * distributed under the License is distributed on an "AS IS" BASIS, |
12 | 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
... | ... | @@ -59,7 +59,7 @@ public class BaseTimeseriesService implements TimeseriesService { |
59 | 59 | public ListenableFuture<List<TsKvEntry>> findAll(String entityType, UUIDBased entityId, TsKvQuery query) { |
60 | 60 | validate(entityType, entityId); |
61 | 61 | validate(query); |
62 | - return timeseriesDao.findAllAsync(entityType, entityId.getId(), query, timeseriesDao.toPartitionTs(query.getStartTs()), timeseriesDao.toPartitionTs(query.getEndTs())); | |
62 | + return timeseriesDao.findAllAsync(entityType, entityId.getId(), query); | |
63 | 63 | } |
64 | 64 | |
65 | 65 | @Override |
... | ... | @@ -132,7 +132,8 @@ public class BaseTimeseriesService implements TimeseriesService { |
132 | 132 | throw new IncorrectParameterException("TsKvQuery can't be null"); |
133 | 133 | } else if (isBlank(query.getKey())) { |
134 | 134 | throw new IncorrectParameterException("Incorrect TsKvQuery. Key can't be empty"); |
135 | + } else if (query.getAggregation() == null){ | |
136 | + throw new IncorrectParameterException("Incorrect TsKvQuery. Aggregation can't be empty"); | |
135 | 137 | } |
136 | - //TODO: add validation of all params | |
137 | 138 | } |
138 | 139 | } | ... | ... |
1 | +/** | |
2 | + * Copyright © 2016-2017 The Thingsboard Authors | |
3 | + * | |
4 | + * Licensed under the Apache License, Version 2.0 (the "License"); | |
5 | + * you may not use this file except in compliance with the License. | |
6 | + * You may obtain a copy of the License at | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | + * Unless required by applicable law or agreed to in writing, software | |
11 | + * distributed under the License is distributed on an "AS IS" BASIS, | |
12 | + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
13 | + * See the License for the specific language governing permissions and | |
14 | + * limitations under the License. | |
15 | + */ | |
16 | +package org.thingsboard.server.dao.timeseries; | |
17 | + | |
18 | +import com.google.common.util.concurrent.AbstractFuture; | |
19 | + | |
20 | +/** | |
21 | + * Created by ashvayka on 21.02.17. | |
22 | + */ | |
23 | +public class SimpleListenableFuture<V> extends AbstractFuture<V> { | |
24 | + | |
25 | + public SimpleListenableFuture() { | |
26 | + | |
27 | + } | |
28 | + | |
29 | + public boolean set(V value) { | |
30 | + return super.set(value); | |
31 | + } | |
32 | + | |
33 | +} | ... | ... |
... | ... | @@ -33,7 +33,7 @@ public interface TimeseriesDao { |
33 | 33 | |
34 | 34 | long toPartitionTs(long ts); |
35 | 35 | |
36 | - ListenableFuture<List<TsKvEntry>> findAllAsync(String entityType, UUID entityId, TsKvQuery query, long minPartition, long maxPartition); | |
36 | + ListenableFuture<List<TsKvEntry>> findAllAsync(String entityType, UUID entityId, TsKvQuery query); | |
37 | 37 | |
38 | 38 | // List<TsKvEntry> find(String entityType, UUID entityId, TsKvQuery query, Optional<Long> minPartition, Optional<Long> maxPartition); |
39 | 39 | ... | ... |
1 | +/** | |
2 | + * Copyright © 2016-2017 The Thingsboard Authors | |
3 | + * | |
4 | + * Licensed under the Apache License, Version 2.0 (the "License"); | |
5 | + * you may not use this file except in compliance with the License. | |
6 | + * You may obtain a copy of the License at | |
7 | + * | |
8 | + * http://www.apache.org/licenses/LICENSE-2.0 | |
9 | + * | |
10 | + * Unless required by applicable law or agreed to in writing, software | |
11 | + * distributed under the License is distributed on an "AS IS" BASIS, | |
12 | + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
13 | + * See the License for the specific language governing permissions and | |
14 | + * limitations under the License. | |
15 | + */ | |
16 | +package org.thingsboard.server.dao.timeseries; | |
17 | + | |
18 | +import lombok.Data; | |
19 | +import lombok.Getter; | |
20 | +import org.thingsboard.server.common.data.kv.TsKvEntry; | |
21 | +import org.thingsboard.server.common.data.kv.TsKvQuery; | |
22 | + | |
23 | +import java.util.ArrayList; | |
24 | +import java.util.List; | |
25 | +import java.util.UUID; | |
26 | + | |
27 | +/** | |
28 | + * Created by ashvayka on 21.02.17. | |
29 | + */ | |
30 | +public class TsKvQueryCursor { | |
31 | + @Getter | |
32 | + private final String entityType; | |
33 | + @Getter | |
34 | + private final UUID entityId; | |
35 | + @Getter | |
36 | + private final String key; | |
37 | + @Getter | |
38 | + private final long startTs; | |
39 | + @Getter | |
40 | + private final long endTs; | |
41 | + private final List<Long> partitions; | |
42 | + @Getter | |
43 | + private final List<TsKvEntry> data; | |
44 | + | |
45 | + private int partitionIndex; | |
46 | + private int currentLimit; | |
47 | + | |
48 | + public TsKvQueryCursor(String entityType, UUID entityId, TsKvQuery baseQuery, List<Long> partitions) { | |
49 | + this.entityType = entityType; | |
50 | + this.entityId = entityId; | |
51 | + this.key = baseQuery.getKey(); | |
52 | + this.startTs = baseQuery.getStartTs(); | |
53 | + this.endTs = baseQuery.getEndTs(); | |
54 | + this.partitions = partitions; | |
55 | + this.partitionIndex = partitions.size() - 1; | |
56 | + this.data = new ArrayList<>(); | |
57 | + this.currentLimit = baseQuery.getLimit(); | |
58 | + } | |
59 | + | |
60 | + public boolean hasNextPartition() { | |
61 | + return partitionIndex >= 0; | |
62 | + } | |
63 | + | |
64 | + public boolean isFull() { | |
65 | + return currentLimit <= 0; | |
66 | + } | |
67 | + | |
68 | + public long getNextPartition() { | |
69 | + long partition = partitions.get(partitionIndex); | |
70 | + partitionIndex--; | |
71 | + return partition; | |
72 | + } | |
73 | + | |
74 | + public int getCurrentLimit() { | |
75 | + return currentLimit; | |
76 | + } | |
77 | + | |
78 | + public void addData(List<TsKvEntry> newData) { | |
79 | + currentLimit -= newData.size(); | |
80 | + data.addAll(newData); | |
81 | + } | |
82 | +} | ... | ... |
... | ... | @@ -25,11 +25,11 @@ import java.util.Arrays; |
25 | 25 | |
26 | 26 | @RunWith(ClasspathSuite.class) |
27 | 27 | @ClassnameFilters({ |
28 | -// "org.thingsboard.server.dao.service.*Test", | |
29 | -// "org.thingsboard.server.dao.kv.*Test", | |
30 | -// "org.thingsboard.server.dao.plugin.*Test", | |
31 | -// "org.thingsboard.server.dao.rule.*Test", | |
32 | -// "org.thingsboard.server.dao.attributes.*Test", | |
28 | + "org.thingsboard.server.dao.service.*Test", | |
29 | + "org.thingsboard.server.dao.kv.*Test", | |
30 | + "org.thingsboard.server.dao.plugin.*Test", | |
31 | + "org.thingsboard.server.dao.rule.*Test", | |
32 | + "org.thingsboard.server.dao.attributes.*Test", | |
33 | 33 | "org.thingsboard.server.dao.timeseries.*Test" |
34 | 34 | }) |
35 | 35 | public class DaoTestSuite { | ... | ... |
... | ... | @@ -51,8 +51,6 @@ public class TimeseriesServiceTest extends AbstractServiceTest { |
51 | 51 | private static final String DOUBLE_KEY = "doubleKey"; |
52 | 52 | private static final String BOOLEAN_KEY = "booleanKey"; |
53 | 53 | |
54 | - public static final int PARTITION_MINUTES = 1100; | |
55 | - | |
56 | 54 | private static final long TS = 42L; |
57 | 55 | |
58 | 56 | KvEntry stringKvEntry = new StringDataEntry(STRING_KEY, "value"); |
... | ... | @@ -103,49 +101,101 @@ public class TimeseriesServiceTest extends AbstractServiceTest { |
103 | 101 | } |
104 | 102 | |
105 | 103 | @Test |
106 | - public void testFindDeviceTsDataByQuery() throws Exception { | |
104 | + public void testFindDeviceTsData() throws Exception { | |
107 | 105 | DeviceId deviceId = new DeviceId(UUIDs.timeBased()); |
108 | - LocalDateTime localDateTime = LocalDateTime.now(ZoneOffset.UTC).minusMinutes(PARTITION_MINUTES); | |
109 | - log.debug("Start event time is {}", localDateTime); | |
110 | - List<TsKvEntry> entries = new ArrayList<>(PARTITION_MINUTES); | |
111 | - | |
112 | - for (int i = 0; i < PARTITION_MINUTES; i++) { | |
113 | - long time = localDateTime.plusMinutes(i).toInstant(ZoneOffset.UTC).toEpochMilli(); | |
114 | - BasicTsKvEntry tsKvEntry = new BasicTsKvEntry(time, stringKvEntry); | |
115 | - tsService.save(DataConstants.DEVICE, deviceId, tsKvEntry).get(); | |
116 | - entries.add(tsKvEntry); | |
117 | - } | |
118 | - log.debug("Saved all records {}", localDateTime); | |
119 | - List<TsKvEntry> list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(STRING_KEY, entries.get(599).getTs(), | |
120 | - LocalDateTime.now(ZoneOffset.UTC).toInstant(ZoneOffset.UTC).toEpochMilli(), PARTITION_MINUTES - 599, Aggregation.MIN)).get(); | |
121 | - log.debug("Fetched records {}", localDateTime); | |
122 | - List<TsKvEntry> expected = entries.subList(600, PARTITION_MINUTES); | |
123 | - assertEquals(expected.size(), list.size()); | |
124 | - assertEquals(expected, list); | |
125 | - } | |
106 | + List<TsKvEntry> entries = new ArrayList<>(); | |
107 | + | |
108 | + entries.add(save(deviceId, 5000, 100)); | |
109 | + entries.add(save(deviceId, 15000, 200)); | |
110 | + | |
111 | + entries.add(save(deviceId, 25000, 300)); | |
112 | + entries.add(save(deviceId, 35000, 400)); | |
113 | + | |
114 | + entries.add(save(deviceId, 45000, 500)); | |
115 | + entries.add(save(deviceId, 55000, 600)); | |
116 | + | |
117 | + List<TsKvEntry> list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(LONG_KEY, 0, | |
118 | + 60000, 3, Aggregation.NONE)).get(); | |
119 | + assertEquals(3, list.size()); | |
120 | + assertEquals(55000, list.get(0).getTs()); | |
121 | + assertEquals(java.util.Optional.of(600L), list.get(0).getLongValue()); | |
122 | + | |
123 | + assertEquals(45000, list.get(1).getTs()); | |
124 | + assertEquals(java.util.Optional.of(500L), list.get(1).getLongValue()); | |
125 | + | |
126 | + assertEquals(35000, list.get(2).getTs()); | |
127 | + assertEquals(java.util.Optional.of(400L), list.get(2).getLongValue()); | |
128 | + | |
129 | + list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(LONG_KEY, 0, | |
130 | + 60000, 3, Aggregation.AVG)).get(); | |
131 | + assertEquals(3, list.size()); | |
132 | + assertEquals(10000, list.get(0).getTs()); | |
133 | + assertEquals(java.util.Optional.of(150L), list.get(0).getLongValue()); | |
134 | + | |
135 | + assertEquals(30000, list.get(1).getTs()); | |
136 | + assertEquals(java.util.Optional.of(350L), list.get(1).getLongValue()); | |
137 | + | |
138 | + assertEquals(50000, list.get(2).getTs()); | |
139 | + assertEquals(java.util.Optional.of(550L), list.get(2).getLongValue()); | |
140 | + | |
141 | + list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(LONG_KEY, 0, | |
142 | + 60000, 3, Aggregation.SUM)).get(); | |
143 | + | |
144 | + assertEquals(3, list.size()); | |
145 | + assertEquals(10000, list.get(0).getTs()); | |
146 | + assertEquals(java.util.Optional.of(300L), list.get(0).getLongValue()); | |
147 | + | |
148 | + assertEquals(30000, list.get(1).getTs()); | |
149 | + assertEquals(java.util.Optional.of(700L), list.get(1).getLongValue()); | |
126 | 150 | |
127 | -// @Test | |
128 | -// public void testFindDeviceTsDataByQuery() throws Exception { | |
129 | -// DeviceId deviceId = new DeviceId(UUIDs.timeBased()); | |
130 | -// LocalDateTime localDateTime = LocalDateTime.now(ZoneOffset.UTC).minusMinutes(PARTITION_MINUTES); | |
131 | -// log.debug("Start event time is {}", localDateTime); | |
132 | -// List<TsKvEntry> entries = new ArrayList<>(PARTITION_MINUTES); | |
133 | -// | |
134 | -// for (int i = 0; i < PARTITION_MINUTES; i++) { | |
135 | -// long time = localDateTime.plusMinutes(i).toInstant(ZoneOffset.UTC).toEpochMilli(); | |
136 | -// BasicTsKvEntry tsKvEntry = new BasicTsKvEntry(time, stringKvEntry); | |
137 | -// tsService.save(DataConstants.DEVICE, deviceId, tsKvEntry).get(); | |
138 | -// entries.add(tsKvEntry); | |
139 | -// } | |
140 | -// log.debug("Saved all records {}", localDateTime); | |
141 | -// List<TsKvEntry> list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(STRING_KEY, entries.get(599).getTs(), | |
142 | -// LocalDateTime.now(ZoneOffset.UTC).toInstant(ZoneOffset.UTC).toEpochMilli(), PARTITION_MINUTES - 599, Aggregation.MIN)).get(); | |
143 | -// log.debug("Fetched records {}", localDateTime); | |
144 | -// List<TsKvEntry> expected = entries.subList(600, PARTITION_MINUTES); | |
145 | -// assertEquals(expected.size(), list.size()); | |
146 | -// assertEquals(expected, list); | |
147 | -// } | |
151 | + assertEquals(50000, list.get(2).getTs()); | |
152 | + assertEquals(java.util.Optional.of(1100L), list.get(2).getLongValue()); | |
148 | 153 | |
154 | + list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(LONG_KEY, 0, | |
155 | + 60000, 3, Aggregation.MIN)).get(); | |
156 | + | |
157 | + assertEquals(3, list.size()); | |
158 | + assertEquals(10000, list.get(0).getTs()); | |
159 | + assertEquals(java.util.Optional.of(100L), list.get(0).getLongValue()); | |
160 | + | |
161 | + assertEquals(30000, list.get(1).getTs()); | |
162 | + assertEquals(java.util.Optional.of(300L), list.get(1).getLongValue()); | |
163 | + | |
164 | + assertEquals(50000, list.get(2).getTs()); | |
165 | + assertEquals(java.util.Optional.of(500L), list.get(2).getLongValue()); | |
166 | + | |
167 | + list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(LONG_KEY, 0, | |
168 | + 60000, 3, Aggregation.MAX)).get(); | |
169 | + | |
170 | + assertEquals(3, list.size()); | |
171 | + assertEquals(10000, list.get(0).getTs()); | |
172 | + assertEquals(java.util.Optional.of(200L), list.get(0).getLongValue()); | |
173 | + | |
174 | + assertEquals(30000, list.get(1).getTs()); | |
175 | + assertEquals(java.util.Optional.of(400L), list.get(1).getLongValue()); | |
176 | + | |
177 | + assertEquals(50000, list.get(2).getTs()); | |
178 | + assertEquals(java.util.Optional.of(600L), list.get(2).getLongValue()); | |
179 | + | |
180 | + list = tsService.findAll(DataConstants.DEVICE, deviceId, new BaseTsKvQuery(LONG_KEY, 0, | |
181 | + 60000, 3, Aggregation.COUNT)).get(); | |
182 | + | |
183 | + assertEquals(3, list.size()); | |
184 | + assertEquals(10000, list.get(0).getTs()); | |
185 | + assertEquals(java.util.Optional.of(2L), list.get(0).getLongValue()); | |
186 | + | |
187 | + assertEquals(30000, list.get(1).getTs()); | |
188 | + assertEquals(java.util.Optional.of(2L), list.get(1).getLongValue()); | |
189 | + | |
190 | + assertEquals(50000, list.get(2).getTs()); | |
191 | + assertEquals(java.util.Optional.of(2L), list.get(2).getLongValue()); | |
192 | + } | |
193 | + | |
194 | + private TsKvEntry save(DeviceId deviceId, long ts, long value) throws Exception { | |
195 | + TsKvEntry entry = new BasicTsKvEntry(ts, new LongDataEntry(LONG_KEY, value)); | |
196 | + tsService.save(DataConstants.DEVICE, deviceId, entry).get(); | |
197 | + return entry; | |
198 | + } | |
149 | 199 | |
150 | 200 | private void saveEntries(DeviceId deviceId, long ts) throws ExecutionException, InterruptedException { |
151 | 201 | tsService.save(DataConstants.DEVICE, deviceId, toTsEntry(ts, stringKvEntry)).get(); | ... | ... |
... | ... | @@ -48,6 +48,4 @@ cassandra.query.ts_key_value_partitioning=HOURS |
48 | 48 | |
49 | 49 | cassandra.query.max_limit_per_request=1000 |
50 | 50 | |
51 | -cassandra.query.read_result_processing_threads=3 | |
52 | - | |
53 | -cassandra.query.min_read_step=100 | |
\ No newline at end of file | ||
51 | +cassandra.query.min_aggregation_step_ms=100 | |
\ No newline at end of file | ... | ... |