Node leaf convergence method and device based on tree structure
The invention discloses a node leaf convergence method and device based on a tree structure, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: splitting a multi-leaf node in a current layer into a plurality of single-leaf nodes; perfor...
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| creator | WANG WEI ZENG XIN LAI YONGWANG |
| description | The invention discloses a node leaf convergence method and device based on a tree structure, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: splitting a multi-leaf node in a current layer into a plurality of single-leaf nodes; performing column-to-row conversion on each leaf in the single-leaf node set, and performing deduplication on each leaf after column-to-row conversion to obtain a deduplication leaf set; wherein the single-leaf node set comprises the single-leaf nodes in the current layer and the single-leaf nodes split by the multi-leaf nodes; and converging each leaf in the de-duplicated leaf set into a leaf of the node of the upper layer. According to the embodiment, the technical problem that an existing database cannot provide an aggregation method of de-duplicated leaves can be solved.
本发明公开了基于树型结构的节点叶子汇聚方法和装置，涉及大数据技术领域。该方法的一具体实施方式包括：将当前层中的多叶子节点拆分成多个单叶子节点；对单叶子节点集合中的各个叶子进行列转行，并对列转行后的各个叶子进行去重，得到去重叶子集合；其中，所述单叶子节点集合包括所述当前层中的单叶子节点和由所述多叶 |
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本发明公开了基于树型结构的节点叶子汇聚方法和装置，涉及大数据技术领域。该方法的一具体实施方式包括：将当前层中的多叶子节点拆分成多个单叶子节点；对单叶子节点集合中的各个叶子进行列转行，并对列转行后的各个叶子进行去重，得到去重叶子集合；其中，所述单叶子节点集合包括所述当前层中的单叶子节点和由所述多叶</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220624&DB=EPODOC&CC=CN&NR=114661960A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220624&DB=EPODOC&CC=CN&NR=114661960A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>ZENG XIN</creatorcontrib><creatorcontrib>LAI YONGWANG</creatorcontrib><title>Node leaf convergence method and device based on tree structure</title><description>The invention discloses a node leaf convergence method and device based on a tree structure, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: splitting a multi-leaf node in a current layer into a plurality of single-leaf nodes; performing column-to-row conversion on each leaf in the single-leaf node set, and performing deduplication on each leaf after column-to-row conversion to obtain a deduplication leaf set; wherein the single-leaf node set comprises the single-leaf nodes in the current layer and the single-leaf nodes split by the multi-leaf nodes; and converging each leaf in the de-duplicated leaf set into a leaf of the node of the upper layer. According to the embodiment, the technical problem that an existing database cannot provide an aggregation method of de-duplicated leaves can be solved.
本发明公开了基于树型结构的节点叶子汇聚方法和装置，涉及大数据技术领域。该方法的一具体实施方式包括：将当前层中的多叶子节点拆分成多个单叶子节点；对单叶子节点集合中的各个叶子进行列转行，并对列转行后的各个叶子进行去重，得到去重叶子集合；其中，所述单叶子节点集合包括所述当前层中的单叶子节点和由所述多叶</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD3y09JVchJTUxTSM7PK0stSk_NS05VyE0tychPUUjMS1FISS3LBIokJRanpijk5ymUFKWmKhSXFJUml5QWpfIwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDEzMzQ0szA0djYtQAAGBwMJg</recordid><startdate>20220624</startdate><enddate>20220624</enddate><creator>WANG WEI</creator><creator>ZENG XIN</creator><creator>LAI YONGWANG</creator><scope>EVB</scope></search><sort><creationdate>20220624</creationdate><title>Node leaf convergence method and device based on tree structure</title><author>WANG WEI ; ZENG XIN ; LAI YONGWANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114661960A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>ZENG XIN</creatorcontrib><creatorcontrib>LAI YONGWANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG WEI</au><au>ZENG XIN</au><au>LAI YONGWANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Node leaf convergence method and device based on tree structure</title><date>2022-06-24</date><risdate>2022</risdate><abstract>The invention discloses a node leaf convergence method and device based on a tree structure, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: splitting a multi-leaf node in a current layer into a plurality of single-leaf nodes; performing column-to-row conversion on each leaf in the single-leaf node set, and performing deduplication on each leaf after column-to-row conversion to obtain a deduplication leaf set; wherein the single-leaf node set comprises the single-leaf nodes in the current layer and the single-leaf nodes split by the multi-leaf nodes; and converging each leaf in the de-duplicated leaf set into a leaf of the node of the upper layer. According to the embodiment, the technical problem that an existing database cannot provide an aggregation method of de-duplicated leaves can be solved.
本发明公开了基于树型结构的节点叶子汇聚方法和装置，涉及大数据技术领域。该方法的一具体实施方式包括：将当前层中的多叶子节点拆分成多个单叶子节点；对单叶子节点集合中的各个叶子进行列转行，并对列转行后的各个叶子进行去重，得到去重叶子集合；其中，所述单叶子节点集合包括所述当前层中的单叶子节点和由所述多叶</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Node leaf convergence method and device based on tree structure |
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