First openCypher Implementers Group Meeting (oCIG 1) - 22 June 2017
This was the first virtual meeting for members of the openCypher Implementers Group, with the aim of discussing, agreeing upon or rejecting Cypher language changes proposed via Cypher Improvement Requests (CIRs) and Improvement Proposals (CIPs).
- Aggregations and grouping:
- CIR-2017-219: Grouping key selection for aggregating subqueries (József Marton, Jan Posiadała)
- CIR-2017-183: Support calling aggregation functions on lists in expressions (Stefan Plantikow)
- CIR-2017-188: Syntax differentiation for aggregations (Mats Rydberg)
- CIP2017-04-13: Aggregations CIP (Tobias Lindaaker)
- CIP2016-01-26: MANDATORY MATCH (Stefan Plantikow)
- Slides by Stefan Plantikow, Neo4j
The first oCIG meeting was held at 15.00 - 16:30 UTC on Thursday, 22 June 2017.
During the course of the meeting, this Google document was shared between participants for collaborative notes.
A recording of the meeting can also be downloaded via this link.
The major outcome was the acceptance by the oCIG of a new clause into Cypher, called
This is a new variant of the
MATCH clause (in effect a sibling of the
OPTIONAL MATCH clause), which will cause a query to fail if no matching data is found in the underlying graph, and the purpose is to allow for easier query validation.
MANDATORY MATCH <pattern> allows the author of a query to force a match in the cases where there is an expectation of matching at least one node complying with
<pattern>, enabling implicit query validity checking.
Errors in the writing of the query itself – such as invalid/non-existent parameter values – will raise an appropriate exception.
MANDATORY MATCH confers the following benefits:
- Developers get a powerful new facility for detecting semantic errors in their applications, failing early in the case of an error.
- Unnecessary round-trips to the database in order to check for the presence of mandatory data are avoided, leading to decreased application latency.
- Extra validation code to check for the presence of mandatory data is no longer required, leading to decreased application complexity and verbosity, and increased application maintainability.
- The expectation of a query (insofar as which portions of the data are expected to be present) is made much more obvious from the outset, leading to a better encapsulation of domain knowledge within the query.
Aggregation and grouping was also discussed at the meeting. Currently, the semantics are confusing and ill-defined, leading to unexpected behaviour under some circumstances.
A number of approaches to address this issue were discussed.
Under consideration was a proposed syntactical change allowing for far easier differentiation between aggregating functions (such as
count()), and standard functions (such as
length()) to improve query readability.
MANDATORY MATCH clause, as well as the issues and proposed solutions regarding aggregation and grouping, will be discussed in detail in blog posts.