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QuestDB is High Performance Time Series Database
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* Copyright (c) 2014-2019 Appsicle
* Copyright (c) 2019-2020 QuestDB
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* Licensed 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
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package io.questdb.cairo;
import io.questdb.cairo.sql.DataFrame;
import io.questdb.cairo.sql.DataFrameCursor;
import io.questdb.cairo.sql.StaticSymbolTable;
import io.questdb.std.LongList;
import io.questdb.std.Transient;
public abstract class AbstractIntervalDataFrameCursor implements DataFrameCursor {
protected final LongList intervals;
protected final IntervalDataFrame dataFrame = new IntervalDataFrame();
protected final int timestampIndex;
protected TableReader reader;
protected int intervalsLo;
protected int intervalsHi;
protected int partitionLo;
protected int partitionHi;
// This is where begin binary search on partition. When there are more
// than one searches to be performed we can use this variable to avoid
// searching partition from top every time
protected long partitionLimit;
private int initialIntervalsLo;
private int initialIntervalsHi;
private int initialPartitionLo;
private int initialPartitionHi;
static final int SCAN_UP = -1;
static final int SCAN_DOWN = 1;
public AbstractIntervalDataFrameCursor(@Transient LongList intervals, int timestampIndex) {
assert timestampIndex > -1;
this.intervals = new LongList(intervals);
this.timestampIndex = timestampIndex;
}
protected static long search(ReadOnlyColumn column, long value, long low, long high, int increment) {
while (low < high) {
long mid = (low + high - 1) >>> 1;
long midVal = column.getLong(mid * 8);
if (midVal < value)
low = mid + 1;
else if (midVal > value)
high = mid;
else {
// In case of multiple equal values, find the first
mid += increment;
while (mid > 0 && mid < high && midVal == column.getLong(mid * 8)) {
mid += increment;
}
return mid - increment;
}
}
return -(low + 1);
}
@Override
public void close() {
if (reader != null) {
reader.close();
reader = null;
}
}
@Override
public StaticSymbolTable getSymbolTable(int columnIndex) {
return reader.getSymbolMapReader(columnIndex);
}
@Override
public TableReader getTableReader() {
return reader;
}
@Override
public boolean reload() {
if (reader != null && reader.reload()) {
calculateRanges();
return true;
}
return false;
}
@Override
public void toTop() {
intervalsLo = initialIntervalsLo;
intervalsHi = initialIntervalsHi;
partitionLo = initialPartitionLo;
partitionHi = initialPartitionHi;
}
public void of(TableReader reader) {
this.reader = reader;
calculateRanges();
}
private void calculateRanges() {
if (intervals.size() > 0) {
if (reader.getPartitionedBy() == PartitionBy.NONE) {
initialIntervalsLo = 0;
initialIntervalsHi = intervals.size() / 2;
initialPartitionLo = 0;
initialPartitionHi = reader.getPartitionCount();
} else {
cullIntervals();
if (initialIntervalsLo < initialIntervalsHi) {
cullPartitions();
}
}
toTop();
}
}
private void cullIntervals() {
int intervalsLo = intervals.binarySearch(reader.getMinTimestamp());
// not a direct hit
if (intervalsLo < 0) {
intervalsLo = -intervalsLo - 1;
}
// normalise interval index
this.initialIntervalsLo = intervalsLo / 2;
int intervalsHi = intervals.binarySearch(reader.getMaxTimestamp());
if (reader.getMaxTimestamp() == intervals.getQuick(intervals.size() - 1)) {
this.initialIntervalsHi = intervals.size() - 1;
}
if (reader.getMaxTimestamp() == intervals.getQuick(0)) {
this.initialIntervalsHi = 1;
}
if (intervalsHi < 0) {
intervalsHi = -intervalsHi - 1;
// when interval index is "even" we scored just between two interval
// in which case we chose previous interval
if (intervalsHi % 2 == 0) {
this.initialIntervalsHi = intervalsHi / 2;
} else {
this.initialIntervalsHi = intervalsHi / 2 + 1;
}
}
}
private void cullPartitions() {
final long lo = intervals.getQuick(initialIntervalsLo * 2);
long intervalLo;
if (lo == Long.MIN_VALUE) {
intervalLo = reader.floorToPartitionTimestamp(reader.getMinTimestamp());
} else {
intervalLo = reader.floorToPartitionTimestamp(lo);
}
this.initialPartitionLo = reader.getMinTimestamp() < intervalLo ? reader.getPartitionCountBetweenTimestamps(reader.getMinTimestamp(), intervalLo) : 0;
long intervalHi = reader.floorToPartitionTimestamp(intervals.getQuick((initialIntervalsHi - 1) * 2 + 1));
this.initialPartitionHi = Math.min(reader.getPartitionCount(), reader.getPartitionCountBetweenTimestamps(reader.getMinTimestamp(), intervalHi) + 1);
}
protected class IntervalDataFrame implements DataFrame {
protected long rowLo = 0;
protected long rowHi;
protected int partitionIndex;
@Override
public BitmapIndexReader getBitmapIndexReader(int columnIndex, int direction) {
return reader.getBitmapIndexReader(reader.getColumnBase(partitionIndex), columnIndex, direction);
}
@Override
public int getPartitionIndex() {
return partitionIndex;
}
@Override
public long getRowHi() {
return rowHi;
}
@Override
public long getRowLo() {
return rowLo;
}
@Override
public long getPageAddress(int columnIndex) {
return reader.getPageAddressAt(partitionIndex, rowLo, columnIndex);
}
@Override
public long getPageValueCount(int columnIndex) {
return reader.getPageValueCount(partitionIndex, rowLo, rowHi, columnIndex);
}
}
}
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