| (window.webpackJsonp=window.webpackJsonp||[]).push([[39],{602:function(e,t,a){"use strict";a.r(t);var s=a(69),r=Object(s.a)({},(function(){var e=this,t=e.$createElement,a=e._self._c||t;return a("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[a("h1",{attrs:{id:"query-basic-components"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#query-basic-components"}},[e._v("#")]),e._v(" Query basic components")]),e._v(" "),a("h2",{attrs:{id:"design-principle"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#design-principle"}},[e._v("#")]),e._v(" Design principle")]),e._v(" "),a("p",[e._v("The IoTDB server module provides a total of 3 different forms of reading interfaces for a single time series to support different forms of queries.")]),e._v(" "),a("ul",[a("li",[e._v("The raw data query interface returns BatchData with time or value filters. Both filters cannot exist at the same time.")]),e._v(" "),a("li",[e._v("Aggregation query interface (mainly used for aggregation query and downsampling query)")]),e._v(" "),a("li",[e._v("Interface for querying corresponding values by increasing timestamp (mainly used for queries with value filtering)")])]),e._v(" "),a("h2",{attrs:{id:"related-interfaces"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#related-interfaces"}},[e._v("#")]),e._v(" Related interfaces")]),e._v(" "),a("p",[e._v("The above three ways to read a single time series data correspond to the three interfaces in the code.")]),e._v(" "),a("h3",{attrs:{id:"org-apache-iotdb-tsfile-read-reader-ibatchreader"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#org-apache-iotdb-tsfile-read-reader-ibatchreader"}},[e._v("#")]),e._v(" org.apache.iotdb.tsfile.read.reader.IBatchReader")]),e._v(" "),a("h4",{attrs:{id:"main-method"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#main-method"}},[e._v("#")]),e._v(" Main 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"),a("div",{staticClass:"line-numbers-wrapper"},[a("span",{staticClass:"line-number"},[e._v("1")]),a("br"),a("span",{staticClass:"line-number"},[e._v("2")]),a("br"),a("span",{staticClass:"line-number"},[e._v("3")]),a("br"),a("span",{staticClass:"line-number"},[e._v("4")]),a("br"),a("span",{staticClass:"line-number"},[e._v("5")]),a("br")])]),a("h4",{attrs:{id:"general-use-process-2"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#general-use-process-2"}},[e._v("#")]),e._v(" General use process")]),e._v(" "),a("p",[e._v("This interface is used in queries with value filtering. After TimeGenerator generates a timestamp, use this interface to obtain the value corresponding to the timestamp.")]),e._v(" "),a("div",{staticClass:"language- line-numbers-mode"},[a("pre",{pre:!0,attrs:{class:"language-text"}},[a("code",[e._v("Object value = readerByTimestamp.getValueInTimestamp(timestamp);\n\nor\n\nObject[] values = readerByTimestamp.getValueInTimestamp(timestamps);\n")])]),e._v(" "),a("div",{staticClass:"line-numbers-wrapper"},[a("span",{staticClass:"line-number"},[e._v("1")]),a("br"),a("span",{staticClass:"line-number"},[e._v("2")]),a("br"),a("span",{staticClass:"line-number"},[e._v("3")]),a("br"),a("span",{staticClass:"line-number"},[e._v("4")]),a("br"),a("span",{staticClass:"line-number"},[e._v("5")]),a("br")])]),a("h2",{attrs:{id:"concrete-implementation-class"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#concrete-implementation-class"}},[e._v("#")]),e._v(" Concrete implementation class")]),e._v(" "),a("p",[e._v("The above three interfaces all have their corresponding implementation classes. As the above three queries have similarities, we have designed a basic SeriesReader tool class that encapsulates the basic methods for a time series read operation to help implement the above three interfaces. 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In the original data query, the largest data block return granularity is a page. If a page and other pages cover each other due to out-of-order writing, they are unraveled into data points for merging. Aggregate queries use Chunk's statistics first, followed by Page's statistics, and finally intersecting data points.")]),e._v(" "),a("p",[e._v("The design principle is to use the larger granularity instead of the smaller granularity.")]),e._v(" "),a("p",[e._v("First introduce some important fields in SeriesReader")]),e._v(" "),a("div",{staticClass:"language- line-numbers-mode"},[a("pre",{pre:!0,attrs:{class:"language-text"}},[a("code",[e._v("\n/*\n * File layer\n */\nprivate final List<TsFileResource> seqFileResource;\n\tSequential file list, because the sequential file itself is guaranteed to be ordered, and the timestamps do not overlap each other, just use List to store\n\t\nprivate final PriorityQueue<TsFileResource> unseqFileResource;\n\tOut-of-order file list, because out-of-order files do not guarantee order between each other, and may overlap\n\t\n/*\n * chunk layer\n * \n * The data between the three fields is never duplicated, and first is always the first (minimum start time)\n */\nprivate ChunkMetaData firstChunkMetaData;\n\tThis field is filled first when filling the chunk layer to ensure that this chunk has the current minimum start time\n\t\nprivate final List<ChunkMetaData> seqChunkMetadatas;\n\tThe ChunkMetaData obtained after the sequential files are unpacked is stored here. It is ordered and does not overlap with each other, so the List is used for storage.\n\nprivate final PriorityQueue<ChunkMetaData> unseqChunkMetadatas;\n\tChunkMetaData obtained after unordered files are stored is stored here, there may be overlap between each other, in order to ensure order, priority queue is used for storage\n\t\n/*\n * page layer\n *\n * The data between the two fields is never duplicated, and first is always the first (minimum start time)\n */ \nprivate VersionPageReader firstPageReader;\n\tPage reader with the smallest start time\n\t\nprivate PriorityQueue<VersionPageReader> cachedPageReaders;\n\tAll page readers currently acquired, sorted by the start time of each page\n\t\n/*\n * Intersecting data point layer\n */ \nprivate PriorityMergeReader mergeReader;\n\tEssentially, there are multiple pages with priority, and the data points are output from low to high according to the timestamp. 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And unpack all files that coincide with "),a("code",[e._v("firstChunkMetadata")]),e._v(".")])])]),e._v(" "),a("h4",{attrs:{id:"ischunkoverlapped"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#ischunkoverlapped"}},[e._v("#")]),e._v(" isChunkOverlapped()")]),e._v(" "),a("ul",[a("li",[a("p",[e._v("Main function: determine whether the current chunk overlaps with other Chunk")])]),e._v(" "),a("li",[a("p",[e._v("Constraint: Before calling this method, make sure that the chunk layer has cached "),a("code",[e._v("firstChunkMetadata")]),e._v(", that is, hasNextChunk () is called and is true.")])]),e._v(" "),a("li",[a("p",[e._v("Implementation: Compare "),a("code",[e._v("firstChunkMetadata")]),e._v(" with"),a("code",[e._v("seqChunkMetadatas")]),e._v(" and "),a("code",[e._v("unseqChunkMetadatas")]),e._v(" directly. Because it has been guaranteed that all files that intersect with "),a("code",[e._v("firstChunkMetadata")]),e._v(" will be unzipped.")])])]),e._v(" "),a("h4",{attrs:{id:"currentchunkstatistics"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#currentchunkstatistics"}},[e._v("#")]),e._v(" currentChunkStatistics()")]),e._v(" "),a("p",[e._v("Returns statistics for "),a("code",[e._v("firstChunkMetaData")]),e._v(".")]),e._v(" "),a("h4",{attrs:{id:"skipcurrentchunk"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#skipcurrentchunk"}},[e._v("#")]),e._v(" skipCurrentChunk()")]),e._v(" "),a("p",[e._v("Skip the current chunk. 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