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| gitHub |
| <span><svg xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false" x="0px" y="0px" viewBox="0 0 100 100" width="15" height="15" class="icon outbound"><path fill="currentColor" d="M18.8,85.1h56l0,0c2.2,0,4-1.8,4-4v-32h-8v28h-48v-48h28v-8h-32l0,0c-2.2,0-4,1.8-4,4v56C14.8,83.3,16.6,85.1,18.8,85.1z"></path> <polygon fill="currentColor" points="45.7,48.7 51.3,54.3 77.2,28.5 77.2,37.2 85.2,37.2 85.2,14.9 62.8,14.9 62.8,22.9 71.5,22.9"></polygon></svg> <span class="sr-only">(opens new window)</span></span></a></nav> <ul class="sidebar-links"><li><section class="sidebar-group depth-0"><p class="sidebar-heading"><span>System design</span> <!----></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>Architecture</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>TsFile</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>QueryEngine</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>SchemaManager</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>StorageEngine</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading open"><span>DataQuery</span> <span class="arrow down"></span></p> <ul class="sidebar-links sidebar-group-items"><li><a href="/SystemDesign/DataQuery/DataQuery.html" class="sidebar-link">DataQuery</a></li><li><a href="/SystemDesign/DataQuery/QueryFundamentals.html" class="sidebar-link">QueryFundamentals</a></li><li><a href="/SystemDesign/DataQuery/SeriesReader.html" class="sidebar-link">SeriesReader</a></li><li><a href="/SystemDesign/DataQuery/RawDataQuery.html" class="sidebar-link">RawDataQuery</a></li><li><a href="/SystemDesign/DataQuery/AggregationQuery.html" class="sidebar-link">AggregationQuery</a></li><li><a href="/SystemDesign/DataQuery/GroupByQuery.html" aria-current="page" class="active sidebar-link">GroupByQuery</a></li><li><a href="/SystemDesign/DataQuery/LastQuery.html" class="sidebar-link">LastQuery</a></li><li><a href="/SystemDesign/DataQuery/AlignByDeviceQuery.html" class="sidebar-link">AlignByDeviceQuery</a></li><li><a href="/SystemDesign/DataQuery/FillFunction.html" class="sidebar-link">FillFunction</a></li><li><a href="/SystemDesign/DataQuery/GroupByFillQuery.html" class="sidebar-link">GroupByFillQuery</a></li></ul></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>Tools</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>Connector</span> <span class="arrow right"></span></p> <!----></section></li><li><section class="sidebar-group collapsable depth-0"><p class="sidebar-heading"><span>Client</span> <span class="arrow right"></span></p> <!----></section></li></ul> </aside> <main class="page"> <div class="content content__default"><h1 id="downsampling-query"><a href="#downsampling-query" class="header-anchor">#</a> Downsampling query</h1> <ul><li>org.apache.iotdb.db.query.dataset.groupby.GroupByEngineDataSet</li></ul> <p>The result set of the downsampling query will inherit <code>GroupByEngineDataSet</code>, this class contains the following fields:</p> <ul><li>protected long queryId</li> <li>private long interval</li> <li>private long slidingStep</li></ul> <p>The following two fields are for the entire query, and the time period is left closed and right open, which is <code>[startTime, endTime)</code>:</p> <ul><li>private long startTime</li> <li>private long endTime</li></ul> <p>The following fields are for the current segment, and the time period is left closed and right open, which is <code>[startTime, endTime)</code>:</p> <ul><li>protected long curStartTime;</li> <li>protected long curEndTime;</li> <li>private int usedIndex;</li> <li>protected boolean hasCachedTimeInterval;</li></ul> <p>The core method of <code>GroupByEngineDataSet</code> is very easy. First, determine if there is a next segment based on whether there is a cached time period, and return <code>true</code>; if not, calculate the segmentation start time and increase <code>usedIndex</code> by 1. If the segment start time has exceeded the query end time, return <code>false</code>; otherwise, calculate the query end time, set <code>hasCachedTimeInterval</code> to <code>true</code>, and return<code>true</code>:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>protected boolean hasNextWithoutConstraint() { |
| if (hasCachedTimeInterval) { |
| return true; |
| } |
| |
| curStartTime = usedIndex * slidingStep + startTime; |
| usedIndex++; |
| if (curStartTime < endTime) { |
| hasCachedTimeInterval = true; |
| curEndTime = Math.min(curStartTime + interval, endTime); |
| return true; |
| } else { |
| return false; |
| } |
| } |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br></div></div><h2 id="downsampling-query-without-value-filter"><a href="#downsampling-query-without-value-filter" class="header-anchor">#</a> Downsampling query without value filter</h2> <p>The downsampling query logic without value filter is mainly in the <code>GroupByWithoutValueFilterDataSet</code> class, which inherits<code>GroupByEngineDataSet</code>.</p> <p>This class has the following key fields:</p> <ul><li><p>private Map <Path, GroupByExecutor> pathExecutors classifies aggregate functions for the same <code>Path</code> and encapsulates them as<code>GroupByExecutor</code>, |
| <code>GroupByExecutor</code> encapsulates the data calculation logic and method of each Path, which will be described later</p></li> <li><p>private TimeRange timeRange encapsulates the time interval of each calculation into an object, which is used to determine whether Statistics can directly participate in the calculation</p></li> <li><p>private Filter timeFilter Generates a user-defined query interval as a Filter object, which is used to filter the available files, chunks, and pages.</p></li></ul> <p>First, in the initialization <code>initGroupBy()</code> method, the <code>timeFilter</code> is calculated based on the expression, and <code>GroupByExecutor</code> is generated for each <code>path</code>.</p> <p>First, in the initialization <code>initGroupBy()</code> method, the <code>timeFilter</code> is calculated based on the expression, and <code>GroupByExecutor</code> is generated for each <code>path</code>. |
| The following method is used to convert the result list into a RowRecord. Note that when there are no results in the list, add <code>null</code> to the RowRecord:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>for (AggregateResult res : fields) { |
| if (res == null) { |
| record.addField(null); |
| continue; |
| } |
| record.addField(res.getResult(), res.getResultDataType()); |
| } |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br></div></div><h3 id="groupbyexecutor"><a href="#groupbyexecutor" class="header-anchor">#</a> GroupByExecutor</h3> <p>Encapsulating the calculation method of all aggregate functions under the same path, this class has the following key fields:</p> <ul><li>private IAggregateReader reader the <code>SeriesAggregateReader</code> used to read the current <code>Path</code> data</li> <li>private BatchData preCachedData Every time the data read from <code>Reader</code> is a batch, and it is likely to exceed the current time period. This <code>BatchData</code> will be cached for next use</li> <li>private List<Pair<AggregateResult, Integer>> results stores all aggregation methods in the current <code>Path</code>, for example: <code>select count(a), sum(a), avg(b)</code>, <code>count</code> and <code>sum</code> can be stored together. |
| The <code>Integer</code> on the right is used to convert the result set to the order of the user query before converting it to RowRecord.</li></ul> <h4 id="main-method"><a href="#main-method" class="header-anchor">#</a> Main method</h4> <div class="language- line-numbers-mode"><pre class="language-text"><code>//Read data from the reader and calculate the main method of this class. |
| private List<Pair<AggregateResult, Integer>> calcResult() throws IOException, QueryProcessException; |
| |
| //Add aggregation operation for current path |
| private void addAggregateResult(AggregateResult aggrResult, int index); |
| |
| //Determine whether the current path has completed all aggregation calculations |
| private boolean isEndCalc(); |
| |
| //Calculate results from BatchData that did not run out of cache last calculation |
| private boolean calcFromCacheData() throws IOException; |
| |
| //Calculation using BatchData |
| private void calcFromBatch(BatchData batchData) throws IOException; |
| |
| //Calculate results directly using Page or Chunk's Statistics |
| private void calcFromStatistics(Statistics statistics) throws QueryProcessException; |
| |
| //Clear all calculation results |
| private void resetAggregateResults(); |
| |
| //Iterate through and calculate the data in the page |
| private boolean readAndCalcFromPage() throws IOException, QueryProcessException; |
| |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br></div></div><p>In <code>GroupByExecutor</code>, because different aggregate functions of the same path use the same data, the entry method <code>calcResult</code> is responsible for reading all the data of the <code>Path</code>. |
| The retrieved data then calls the <code>calcFromBatch</code> method to complete the calculation of <code>BatchData</code> through all the aggregate functions.</p> <p>The <code>calcResult</code> method returns all AggregateResult under the current Path and the position of the current aggregated value in the user query order. Its main logic is:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>//Calculate the data left over from the last time, and end the calculation if you can get the results directly |
| if (calcFromCacheData()) { |
| return results; |
| } |
| |
| //Because a chunk contains multiple pages, the page of the current chunk must be used up before the next chunk is opened. |
| if (readAndCalcFromPage()) { |
| return results; |
| } |
| |
| //If the remaining data is calculated, open a new chunk to continue the calculation. |
| while (reader.hasNextChunk()) { |
| Statistics chunkStatistics = reader.currentChunkStatistics(); |
| // Determine if Statistics is available and perform calculations |
| .... |
| // Skip current chunk |
| reader.skipCurrentChunk(); |
| // End calculation if all results have been obtained |
| if (isEndCalc()) { |
| return true; |
| } |
| continue; |
| } |
| //If you cannot use chunkStatistics, you need to use page data to calculate |
| if (readAndCalcFromPage()) { |
| return results; |
| } |
| } |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br><span class="line-number">27</span><br><span class="line-number">28</span><br></div></div><p>The <code>readAndCalcFromPage</code> method is to obtain the page data from the currently opened chunk and calculate the aggregate result. Returns true when all calculations are completed, otherwise returns false. The main logic:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>while (reader.hasNextPage()) { |
| Statistics pageStatistics = reader.currentPageStatistics(); |
| //PageStatistics can only be used if the page does not intersect with other pages |
| if (pageStatistics != null) { |
| // Determine if Statistics is available and perform calculations |
| .... |
| // Skip current page |
| reader.skipCurrentPage(); |
| // End calculation if all results have been obtained |
| if (isEndCalc()) { |
| return true; |
| } |
| continue; |
| } |
| } |
| // When Statistics is not available, you can only fetch all data for calculation |
| BatchData batchData = reader.nextPage(); |
| if (batchData == null || !batchData.hasCurrent()) { |
| continue; |
| } |
| // If the page just opened exceeds the time range, the data retrieved is cached and the calculation is directly ended. |
| if (batchData.currentTime() >= curEndTime) { |
| preCachedData = batchData; |
| return true; |
| } |
| //Perform calculations |
| calcFromBatch(batchData); |
| ... |
| } |
| |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br><span class="line-number">18</span><br><span class="line-number">19</span><br><span class="line-number">20</span><br><span class="line-number">21</span><br><span class="line-number">22</span><br><span class="line-number">23</span><br><span class="line-number">24</span><br><span class="line-number">25</span><br><span class="line-number">26</span><br><span class="line-number">27</span><br><span class="line-number">28</span><br><span class="line-number">29</span><br><span class="line-number">30</span><br></div></div><p>The <code>calcFromBatch</code> method is to traverse all the aggregate functions to calculate the retrieved BatchData. The main logic is:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>for (Pair<AggregateResult, Integer> result : results) { |
| //If a function has already been calculated, it will not be calculated, such as the minimum calculation. |
| if (result.left.isCalculatedAggregationResult()) { |
| continue; |
| } |
| // Perform calculations |
| .... |
| } |
| //Determine if the data in the current batchdata can still be used next time, if it can be added to the cache |
| if (batchData.getMaxTimestamp() >= curEndTime) { |
| preCachedData = batchData; |
| } |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br></div></div><h2 id="aggregated-query-with-value-filter"><a href="#aggregated-query-with-value-filter" class="header-anchor">#</a> Aggregated query with value filter</h2> <p>The downsampling query logic with value filtering conditions is mainly in the <code>GroupByWithValueFilterDataSet</code> class, which inherits <code>GroupByEngineDataSet</code>.</p> <p>This class has the following key fields:</p> <ul><li>private List<IReaderByTimestamp> allDataReaderList</li> <li>private GroupByPlan groupByTimePlan</li> <li>private TimeGenerator timestampGenerator</li> <li>private long timestamp is used to cache timestamp for the next group by partition</li> <li>private boolean hasCachedTimestamp used to determine whether there is a timestamp cache for the next group by partition</li> <li>private int timeStampFetchSize is the size of the group by calculating the batch</li></ul> <p>First, in the initialization <code>initGroupBy ()</code>method, create a <code>timestampGenerator</code> based on the expression; then create a <code>SeriesReaderByTimestamp</code> for each time series and place it in the <code>allDataReaderList</code> list. After initialization is complete, call the <code>nextWithoutConstraint ()</code>method to update the result. If timestamp is cached for the next group by partition and the time meets the requirements, add it to <code>timestampArray</code>, otherwise return the <code>aggregateResultList</code> result directly; if timestamp is not cached for the next group by partition, use <code>timestampGenerator</code> to traverse:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>while (timestampGenerator.hasNext()) { |
| // Call constructTimeArrayForOneCal () method to get a list of timestamp |
| timeArrayLength = constructTimeArrayForOneCal(timestampArray, timeArrayLength); |
| |
| // Call the updateResultUsingTimestamps () method to calculate the aggregate result using the timestamp list |
| for (int i = 0; i < paths.size(); i++) { |
| aggregateResultList.get(i).updateResultUsingTimestamps( |
| timestampArray, timeArrayLength, allDataReaderList.get(i)); |
| } |
| |
| timeArrayLength = 0; |
| // Determine if it is over |
| if (timestamp >= curEndTime) { |
| hasCachedTimestamp = true; |
| break; |
| } |
| } |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br><span class="line-number">10</span><br><span class="line-number">11</span><br><span class="line-number">12</span><br><span class="line-number">13</span><br><span class="line-number">14</span><br><span class="line-number">15</span><br><span class="line-number">16</span><br><span class="line-number">17</span><br></div></div><p>The <code>constructTimeArrayForOneCal ()</code>method traverses timestampGenerator to build a list of timestamps:</p> <div class="language- line-numbers-mode"><pre class="language-text"><code>for (int cnt = 1; cnt < timeStampFetchSize && timestampGenerator.hasNext(); cnt++) { |
| timestamp = timestampGenerator.next(); |
| if (timestamp < curEndTime) { |
| timestampArray[timeArrayLength++] = timestamp; |
| } else { |
| hasCachedTimestamp = true; |
| break; |
| } |
| } |
| </code></pre> <div class="line-numbers-wrapper"><span class="line-number">1</span><br><span class="line-number">2</span><br><span class="line-number">3</span><br><span class="line-number">4</span><br><span class="line-number">5</span><br><span class="line-number">6</span><br><span class="line-number">7</span><br><span class="line-number">8</span><br><span class="line-number">9</span><br></div></div><h2 id="aggregated-query-with-level"><a href="#aggregated-query-with-level" class="header-anchor">#</a> Aggregated query with level</h2> <p>After down-frequency query, we could also to count the total number of points of</p> <p>each node at the given level in current Metadata Tree.</p> <p>The logic is in the <code>GroupByTimeDataSet</code> class.</p> <ol><li><p>In the beginning, get the final paths group by level and the origin path index to final path.</p> <blockquote><p>For example, we could get final path <code>root.sg1</code> by <code>root.sg1.d1.s0,root.sg1.d2.s1</code> and <code>level=1</code>.</p></blockquote></li> <li><p>Then, get the down-frequency query result: RowRecord.</p></li> <li><p>Finally, merge each RowRecord to NewRecord, which has fields like <final path, count>.</p> <blockquote><p>For example, we will get new RowRecord <code><root.sg1,7></code> by <code><root.sg1.d1.s0, 3>, <root.sg1.d2.s1, 4></code> and level=1.</p></blockquote></li></ol> <blockquote><p>Attention:</p> <ol><li>only support count aggregation</li> <li>root's level == 0</li></ol></blockquote></div> <div class="page-nav"><p class="inner"><span class="prev"> |
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