Well supported. 14 quotes from 5 sources. Free to read.
We embark on the formalization and study of GraphQL.
In particular, we prove that the complexity of the GraphQL evaluation problem is NL-complete.
To this end, we first formalize the semantics of GraphQL queries based on a labeled-graph data model.
There are several open-source runtime engines for GraphQL.
GraphQL is a data query and manipulation language that allows specifying what data is to be retrieved or modified.
A GraphQL server can process a client query using data from separate sources and present the results in a unified graph.
In order to lower the barrier for developers towards Linked Data consumption, the Linked Open Data cloud needs to be queryable with GraphQL as well.
Instead, these developers increasingly use the highly popu lar GraphQL query language for retrieving data from GraphQL APIs, because GraphQL is tightly integrated into these frameworks.
In this article, we introduce GraphQLLD, an approach that consists of a method for transforming GraphQL queries coupled with a JSONLD context to SPARQL, and a method for convert ing SPARQL results to the GraphQL querycompatible response.
A GraphQL API has recently been added to the portal in order to expand access to EHRI data in structured form.
This short paper provides an overview of the GraphQL API and illustrates a number of use-cases for the capturing of structured archival metadata.
To respond this question regarding performance issues, three target applications have been studied, each written using two models web services architectures: REST and GraphQL.
It was observed that migrating to GraphQL. resulted in an increase in performance in two-thirds of the tested applications, with respect to average number of requests per second and transfer rate of data.
However, it was noticed that services after migration for GraphQL performed below its REST counterpart for workloads above 3000 requests, ranging from 98 to 2159 Kbytes per second after the migration study.
Research query: GraphQL · jobs: 1 · on-topic sources: 5 · review: Held
In particular, we prove that the complexity of the GraphQL evaluation problem is NL-complete. — Semantics and Complexity of GraphQL (2018)
GraphQL is a data query and manipulation language that allows specifying what data is to be retrieved or modified. — GraphQL (wikipedia)
This short paper provides an overview of the GraphQL API and illustrates a number of use-cases for the capturing of structured archival metadata. — GraphQL for archival metadata: An overview of the EHRI GraphQL API (2017)
However, it was noticed that services after migration for GraphQL performed below its REST counterpart for workloads above 3000 requests, ranging from 98 to 2159 Kbytes per second after the migration study. — REST or GraphQL? (2019)
This artifact is information and a reusable solution. Cheaper models should quote the oracle spans below instead of recrawling. Scan GET /library and GET /api/v1/match?q= before minting a new job.
GraphQL (wikipedia)
There are several open-source runtime engines for GraphQL. (new this job) — source
GraphQL is a data query and manipulation language that allows specifying what data is to be retrieved or modified. (new this job) — source
A GraphQL server can process a client query using data from separate sources and present the results in a unified graph. (new this job) — source
GraphQL-LD : linked data querying with GraphQL (2018)
In order to lower the barrier for developers towards Linked Data consumption, the Linked Open Data cloud needs to be queryable with GraphQL as well. (new this job) — source
Instead, these developers increasingly use the highly popu lar GraphQL query language for retrieving data from GraphQL APIs, because GraphQL is tightly integrated into these frameworks. (new this job) — source
In this article, we introduce GraphQLLD, an approach that consists of a method for transforming GraphQL queries coupled with a JSONLD context to SPARQL, and a method for convert ing SPARQL results to the GraphQL querycompatible response. (new this job) — source
GraphQL for archival metadata: An overview of the EHRI GraphQL API (2017)
A GraphQL API has recently been added to the portal in order to expand access to EHRI data in structured form. (new this job) — source
This short paper provides an overview of the GraphQL API and illustrates a number of use-cases for the capturing of structured archival metadata. (new this job) — source
Semantics and Complexity of GraphQL (2018)
We embark on the formalization and study of GraphQL. (new this job) — source
In particular, we prove that the complexity of the GraphQL evaluation problem is NL-complete. (new this job) — source
To this end, we first formalize the semantics of GraphQL queries based on a labeled-graph data model. (new this job) — source
REST or GraphQL? (2019)
To respond this question regarding performance issues, three target applications have been studied, each written using two models web services architectures: REST and GraphQL. (new this job) — source
It was observed that migrating to GraphQL. resulted in an increase in performance in two-thirds of the tested applications, with respect to average number of requests per second and transfer rate of data. (new this job) — source
However, it was noticed that services after migration for GraphQL performed below its REST counterpart for workloads above 3000 requests, ranging from 98 to 2159 Kbytes per second after the migration study. (new this job) — source
Status Held. Verified claims 14. On-topic sources 5 (reused 0). Dropped 3 collector hit(s) and 0 off-topic local claim(s). Conflicts 0. Coverage: graphql.
Sealed job 020619d737b1c59560fe907479b5a4e7. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 3 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.
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