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Posted to commits@iotdb.apache.org by le...@apache.org on 2024/02/05 08:26:40 UTC
(iotdb) 20/30: add
This is an automated email from the ASF dual-hosted git repository.
leirui pushed a commit to branch research/LTS-visualization
in repository https://gitbox.apache.org/repos/asf/iotdb.git
commit adb5423a6b2b5ce85af15091676b72438d78b6b1
Author: Lei Rui <10...@qq.com>
AuthorDate: Thu Feb 1 00:37:24 2024 +0800
add
---
.../groupby/LocalGroupByExecutorTri_ILTS.java | 38 ++++++++++++----------
1 file changed, 20 insertions(+), 18 deletions(-)
diff --git a/server/src/main/java/org/apache/iotdb/db/query/dataset/groupby/LocalGroupByExecutorTri_ILTS.java b/server/src/main/java/org/apache/iotdb/db/query/dataset/groupby/LocalGroupByExecutorTri_ILTS.java
index 5e20c45fe9c..195be79bf0a 100644
--- a/server/src/main/java/org/apache/iotdb/db/query/dataset/groupby/LocalGroupByExecutorTri_ILTS.java
+++ b/server/src/main/java/org/apache/iotdb/db/query/dataset/groupby/LocalGroupByExecutorTri_ILTS.java
@@ -19,13 +19,6 @@
package org.apache.iotdb.db.query.dataset.groupby;
-import java.io.IOException;
-import java.nio.ByteBuffer;
-import java.util.ArrayList;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
-import java.util.Set;
import org.apache.iotdb.db.conf.IoTDBConfig;
import org.apache.iotdb.db.conf.IoTDBDescriptor;
import org.apache.iotdb.db.engine.querycontext.QueryDataSource;
@@ -49,9 +42,18 @@ import org.apache.iotdb.tsfile.read.filter.GroupByFilter;
import org.apache.iotdb.tsfile.read.filter.basic.Filter;
import org.apache.iotdb.tsfile.read.reader.page.PageReader;
import org.apache.iotdb.tsfile.utils.Pair;
+
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
public class LocalGroupByExecutorTri_ILTS implements GroupByExecutor {
private static final IoTDBConfig CONFIG = IoTDBDescriptor.getInstance().getConfig();
@@ -236,7 +238,7 @@ public class LocalGroupByExecutorTri_ILTS implements GroupByExecutor {
// TODO 以后元数据可以增加sum of timestamps，目前就基于时间戳均匀间隔1的假设来处理
rt +=
(chunkSuit4Tri.chunkMetadata.getStartTime()
- + chunkSuit4Tri.chunkMetadata.getEndTime())
+ + chunkSuit4Tri.chunkMetadata.getEndTime())
* chunkSuit4Tri.chunkMetadata.getStatistics().getCount()
/ 2.0;
rv += chunkSuit4Tri.chunkMetadata.getStatistics().getSumDoubleValue();
@@ -297,18 +299,18 @@ public class LocalGroupByExecutorTri_ILTS implements GroupByExecutor {
// 然后遍历如果这个chunk的非紧致上限<=当前已知的maxDistance，那么整个chunk都不用管了
for (ChunkSuit4Tri chunkSuit4Tri : chunkSuit4TriList) {
long[] rect_t =
- new long[]{
- chunkSuit4Tri.chunkMetadata.getStartTime(), // FPt
- chunkSuit4Tri.chunkMetadata.getEndTime(), // LPt
- chunkSuit4Tri.chunkMetadata.getStatistics().getBottomTimestamp(), // BPt
- chunkSuit4Tri.chunkMetadata.getStatistics().getTopTimestamp() // TPt
+ new long[] {
+ chunkSuit4Tri.chunkMetadata.getStartTime(), // FPt
+ chunkSuit4Tri.chunkMetadata.getEndTime(), // LPt
+ chunkSuit4Tri.chunkMetadata.getStatistics().getBottomTimestamp(), // BPt
+ chunkSuit4Tri.chunkMetadata.getStatistics().getTopTimestamp() // TPt
};
double[] rect_v =
- new double[]{
- (double) chunkSuit4Tri.chunkMetadata.getStatistics().getFirstValue(), // FPv
- (double) chunkSuit4Tri.chunkMetadata.getStatistics().getLastValue(), // LPv
- (double) chunkSuit4Tri.chunkMetadata.getStatistics().getMinValue(), // BPv
- (double) chunkSuit4Tri.chunkMetadata.getStatistics().getMaxValue() // TPv
+ new double[] {
+ (double) chunkSuit4Tri.chunkMetadata.getStatistics().getFirstValue(), // FPv
+ (double) chunkSuit4Tri.chunkMetadata.getStatistics().getLastValue(), // LPv
+ (double) chunkSuit4Tri.chunkMetadata.getStatistics().getMinValue(), // BPv
+ (double) chunkSuit4Tri.chunkMetadata.getStatistics().getMaxValue() // TPv
};
// 用落在桶内的元数据点（紧致下限）更新maxDistance&select_t&select_v
for (int i = 0; i < 4; i++) {