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fe/fe-core/src/main/java/org/apache/doris/statistics/PartitionStatistic.java
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| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you under the Apache License, Version 2.0 (the | ||
| // "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, | ||
| // software distributed under the License is distributed on an | ||
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| // KIND, either express or implied. See the License for the | ||
| // specific language governing permissions and limitations | ||
| // under the License. | ||
|
|
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| package org.apache.doris.statistics; | ||
|
|
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| import org.apache.doris.analysis.LiteralExpr; | ||
| import org.apache.doris.catalog.Column; | ||
| import org.apache.doris.common.AnalysisException; | ||
| import org.apache.doris.common.io.Hll; | ||
| import org.apache.doris.statistics.util.Hll128; | ||
| import org.apache.doris.statistics.util.StatisticsUtil; | ||
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|
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| import org.apache.logging.log4j.LogManager; | ||
| import org.apache.logging.log4j.Logger; | ||
|
|
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| import java.io.ByteArrayInputStream; | ||
| import java.io.DataInputStream; | ||
| import java.util.Base64; | ||
| import java.util.List; | ||
|
|
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| public class PartitionStatistic { | ||
|
|
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| private static final Logger LOG = LogManager.getLogger(PartitionStatistic.class); | ||
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| public static PartitionStatistic UNKNOWN = new PartitionStatisticBuilder().setAvgSizeByte(1).setNdv(new Hll128()) | ||
| .setNumNulls(1).setCount(1).setMaxValue(Double.POSITIVE_INFINITY).setMinValue(Double.NEGATIVE_INFINITY) | ||
| .setIsUnknown(true).setUpdatedTime("") | ||
| .build(); | ||
|
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| public static PartitionStatistic ZERO = new PartitionStatisticBuilder().setAvgSizeByte(0).setNdv(new Hll128()) | ||
| .setNumNulls(0).setCount(0).setMaxValue(Double.NaN).setMinValue(Double.NaN) | ||
| .build(); | ||
|
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| public final double count; | ||
| public final Hll128 ndv; | ||
| public final double numNulls; | ||
| public final double dataSize; | ||
| public final double avgSizeByte; | ||
| public final double minValue; | ||
| public final double maxValue; | ||
| public final boolean isUnKnown; | ||
| public final LiteralExpr minExpr; | ||
| public final LiteralExpr maxExpr; | ||
| public final String updatedTime; | ||
|
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| public PartitionStatistic(double count, Hll128 ndv, double avgSizeByte, | ||
| double numNulls, double dataSize, double minValue, double maxValue, | ||
| LiteralExpr minExpr, LiteralExpr maxExpr, boolean isUnKnown, | ||
| String updatedTime) { | ||
| this.count = count; | ||
| this.ndv = ndv; | ||
| this.avgSizeByte = avgSizeByte; | ||
| this.numNulls = numNulls; | ||
| this.dataSize = dataSize; | ||
| this.minValue = minValue; | ||
| this.maxValue = maxValue; | ||
| this.minExpr = minExpr; | ||
| this.maxExpr = maxExpr; | ||
| this.isUnKnown = isUnKnown; | ||
| this.updatedTime = updatedTime; | ||
| } | ||
|
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| public static PartitionStatistic fromResultRow(List<ResultRow> resultRows) { | ||
| if (resultRows.size() > 1) { | ||
| for (ResultRow resultRow : resultRows) { | ||
| LOG.warn("Partition stats has more than one row. [{}]", resultRow); | ||
| } | ||
| } | ||
| PartitionStatistic partitionStatistic = null; | ||
| try { | ||
| for (ResultRow resultRow : resultRows) { | ||
| partitionStatistic = fromResultRow(resultRow); | ||
| } | ||
| } catch (Throwable t) { | ||
| if (LOG.isDebugEnabled()) { | ||
| LOG.debug("Failed to deserialize column stats", t); | ||
| } | ||
| return PartitionStatistic.UNKNOWN; | ||
| } | ||
| if (partitionStatistic == null) { | ||
| return PartitionStatistic.UNKNOWN; | ||
| } | ||
| return partitionStatistic; | ||
| } | ||
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| public static PartitionStatistic fromResultRow(ResultRow row) { | ||
| // row : [catalog_id, db_id, tbl_id, idx_id, col_id, count, ndv, null_count, min, max, data_size, update_time] | ||
| try { | ||
| long catalogId = Long.parseLong(row.get(0)); | ||
| long dbID = Long.parseLong(row.get(1)); | ||
| long tblId = Long.parseLong(row.get(2)); | ||
| long idxId = Long.parseLong(row.get(3)); | ||
| String colName = row.get(4); | ||
| Column col = StatisticsUtil.findColumn(catalogId, dbID, tblId, idxId, colName); | ||
| if (col == null) { | ||
| LOG.info("Failed to deserialize column statistics, ctlId: {} dbId: {}, " | ||
| + "tblId: {} column: {} not exists", catalogId, dbID, tblId, colName); | ||
| return PartitionStatistic.UNKNOWN; | ||
| } | ||
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| PartitionStatisticBuilder partitionStatisticBuilder = new PartitionStatisticBuilder(); | ||
| double count = Double.parseDouble(row.get(5)); | ||
| partitionStatisticBuilder.setCount(count); | ||
| String ndv = row.get(6); | ||
| Base64.Decoder decoder = Base64.getDecoder(); | ||
| DataInputStream dis = new DataInputStream(new ByteArrayInputStream(decoder.decode(ndv))); | ||
| Hll hll = new Hll(); | ||
| if (!hll.deserialize(dis)) { | ||
| LOG.warn("Failed to deserialize ndv. {}", ndv); | ||
| return null; | ||
| } | ||
| partitionStatisticBuilder.setNdv(Hll128.fromHll(hll)); | ||
| String nullCount = row.getWithDefault(7, "0"); | ||
| partitionStatisticBuilder.setNumNulls(Double.parseDouble(nullCount)); | ||
| partitionStatisticBuilder.setDataSize(Double | ||
| .parseDouble(row.getWithDefault(10, "0"))); | ||
| partitionStatisticBuilder.setAvgSizeByte(partitionStatisticBuilder.getCount() == 0 | ||
| ? 0 : partitionStatisticBuilder.getDataSize() | ||
| / partitionStatisticBuilder.getCount()); | ||
| String min = row.get(8); | ||
| String max = row.get(9); | ||
| if (min != null && !min.equalsIgnoreCase("NULL")) { | ||
| try { | ||
| partitionStatisticBuilder.setMinValue(StatisticsUtil.convertToDouble(col.getType(), min)); | ||
| partitionStatisticBuilder.setMinExpr(StatisticsUtil.readableValue(col.getType(), min)); | ||
| } catch (AnalysisException e) { | ||
| LOG.warn("Failed to deserialize column {} min value {}.", col, min, e); | ||
| partitionStatisticBuilder.setMinValue(Double.NEGATIVE_INFINITY); | ||
| } | ||
| } else { | ||
| partitionStatisticBuilder.setMinValue(Double.NEGATIVE_INFINITY); | ||
| } | ||
| if (max != null && !max.equalsIgnoreCase("NULL")) { | ||
| try { | ||
| partitionStatisticBuilder.setMaxValue(StatisticsUtil.convertToDouble(col.getType(), max)); | ||
| partitionStatisticBuilder.setMaxExpr(StatisticsUtil.readableValue(col.getType(), max)); | ||
| } catch (AnalysisException e) { | ||
| LOG.warn("Failed to deserialize column {} max value {}.", col, max, e); | ||
| partitionStatisticBuilder.setMaxValue(Double.POSITIVE_INFINITY); | ||
| } | ||
| } else { | ||
| partitionStatisticBuilder.setMaxValue(Double.POSITIVE_INFINITY); | ||
| } | ||
| partitionStatisticBuilder.setUpdatedTime(row.get(11)); | ||
| return partitionStatisticBuilder.build(); | ||
| } catch (Exception e) { | ||
| LOG.warn("Failed to deserialize column statistics. Row [{}]", row, e); | ||
| return PartitionStatistic.UNKNOWN; | ||
| } | ||
| } | ||
| } |
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