카테고리: GDB, NoSQL

Graph Database, No-SQL, Big Data, etc..

How to use label inheritance in AgensGraph?

#AgensGraph supports label inheritance for graph modeling. You can make #data-fabric using hierarchy label modeling when importing from one and more datasource. If you want to disinquish instances which parent label is of, use #labels() (embedded function) in AgensGraph.

How to use Java High Level Rest Client with Spring Boot to talk to Elasticsearch 6.x

Original DocumentHow to use Java High Level Rest Client with Spring Boot to talk to AWS Elasticsearch Original Sourcespring-boot-java-highlevel-rest-client-elasticsearch I rewrites source and test about ES 6.5.https://github.com/maxmin93/spring-boot-java-highlevel-rest-client-elasticsearch And I added some lines about checking index existence, creating index and list all indices. You can replace mapping setting to json file.

AgensGraph: graph sampling with random selection

In the previous post, we did make ag_labels() function by #plpgsql. In this time, we will make ag_sample() function that do sampling graph-data by limit N on an edge basis. Also this function has the optional parameter of whether using random-selection. PL/pgSQL is a loadable procedural language for the PostgreSQL database system. [ref] It adds ...

How to make ag_labels() function in AgensGraph

AgensGraph is a Graph DB of Labeled Property Graph model. It has label data for presenting vertices, edges. If you want to see labels list, you should type ‘\dGl’ on AgensGraph console. (article quick-guide-2-1) Meta Command \dG[+] [PATTERN] list graphs \dGe[+] [PATTERN] list graph edge labels \dGl[+] [PATTERN] list graph labels \dGv[+] [PATTERN] list graph ...

[번역] 그래프 기술의 2019년 전망

원문 제목 “Looking Forward to 2019 in Graph Technologies” 2018 년부터는 그래프 기술에 새로운 초점을 맞추기 시작했습니다. 저는 올해 계속해서 그래프 기술과 그들이 어떻게 현상을 변화시키는지 살펴 보겠습니다. 이 보고서는 2018 년 주요 그래프 데이터베이스 추세와 2019 년 예측에 대한 분석입니다. 2018 — The year of the LPG knowledge graph 우리는 작년에 라벨형 속성 그래프 (LPG)가 지식표현 ...

AgensBrowser – PL/Python editor

#AgensGraph is built on the base of #postgresql and take over the functions of postgresql extentions like PL/Python, PL/R, etc. Especially #PL_Python is powerful and used widly on Data-analysis domain. For examples, PL/Python functions parsed by postgresql can work the way you want it to data preprocessing, search algorithms, db-handling, so on. Also it could query by Cypher and modify ...

AgensBrowser – Schema-graph

#SchemaGraph let us know How are conntected elements of a whole #DataGraph. This capture is the schema-graph about Northwind data. #AgensBrowser provide schema-graph on main page and let us edit schema like creating label, editing label, deleting label. Nodes, edges of schema-graph describe  labels with diameter of nodes, width of lines. (The lager size, The lager count) Schema-graph helps ...