Conditional Load csv

Neo4j Graph Platform
1

Hi
I need to creates independent nodes from a csv file, csv is like below-

First, Last, Age
john, Doe, 34
null, Sam,36

My code is like this;

load csv with headers from "file:///demo.csv" as line
with line
CASE 
when not line.first is null
CREATE (s:id{name:line.last})
ELSE
CREATE (s:id{name:line.first})
return count(*)

type or paste code here

Expecting it should create independent nodes with first or last name, but I am encountering this error.

Invalid input 'S': expected 'l/L' (line 4, column 3 (offset: 92))
"CASE"

2 
Try this:

load csv with headers from "file:///demo.csv" as line
with line

FOREACH(ignoreMe IN CASE WHEN line.first IS NOT NULL THEN [1] ELSE [] END |

	MERGE (s:id{name:line.last})
)

FOREACH(ignoreMe IN CASE WHEN line.first IS NULL THEN [1] ELSE [] END |

	MERGE (s:id{name:line.first})
)
3

Thanks it worked,
follow up question,
it took 30 minutes on my desktop to ingest a 5MB csv which had 50k records in it.
I have allocated 12 GB of heal memory.

Is there a way to run it quick or i am doing something wrong ?

4

There is nothing wrong. You can create an index and try it. Also, I do not recommend using 'id' as name label.

5

If you know the values are going to be distinct then you can try this

load csv with headers from "file:///demo.csv" as line
with line
CREATE (s:id{name: coalesce(line.first, line.last)})

If you don't know if it is going to be distinct then you can try

Create index first

CREATE INDEX ON :id(name)

Then run the query

load csv with headers from "file:///demo.csv" as line
with line
MERGE (s:id{name: coalesce(line.first, line.last)})

These should work better.