Reviewers: mferencevic, buda Reviewed By: mferencevic Differential Revision: https://phabricator.memgraph.io/D1621
2.2 KiB
Differences
Although we try to implement openCypher query language as closely to the language reference as possible, we had to make some changes to enhance the user experience.
Symbolic Names
We don't allow symbolic names (variables, label names...) to be openCypher keywords (WHERE, MATCH, COUNT, SUM...).
Unicode Codepoints in String Literal
Use \u
followed by 4 hex digits in string literal for UTF-16 codepoint and
\U
with 8 hex digits for UTF-32 codepoint in Memgraph.
Difference from Neo4j's Cypher Implementation
The openCypher initiative stems from Neo4j's Cypher query language. Following is a list of most important differences between Neo's Cypher and Memgraph's openCypher implementation, for users that are already familiar with Neo4j. There might be other differences not documented here (especially subtle semantic ones).
Unsupported Constructs
- Data importing. Memgraph doesn't support Cypher's CSV importing capabilities.
- The
FOREACH
language construct for performing an operation on every list element. - The
CALL
construct for a standalone function call. This can be expressed usingRETURN functioncall()
. For example, with Memgraph you can get information about the indexes present in the database using theRETURN indexinfo()
openCypher query. - Stored procedures.
- Regular expressions for string matching.
shortestPath
andallShortestPaths
functions.shortestPath
can be expressed using Memgraph's breadth-first expansion syntax already described in this document.- Patterns in expressions. For example, Memgraph doesn't support
size((n)-->())
. Most of the time the same functionalities can be expressed differently in Memgraph usingOPTIONAL
expansions, function calls etc. - Map projections such as
MATCH (n) RETURN n {.property1, .property2}
.
Unsupported Functions
General purpose functions:
exists(n.property)
- This can be expressed usingn.property IS NOT NULL
.length()
is namedsize()
in Memgraph.
Aggregation functions:
count(DISTINCT variable)
- This can be expressed usingWITH DISTINCT variable RETURN count(variable)
.
Mathematical functions:
percentileDisc()
stDev()
point()
distance()
degrees()
List functions:
any()
none()