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But during testing, I often found the data too large. I then found ldbc/ldbc_snb_datagen_spark#146 which added another scale factor (scale) value 0.003.
But when trying to use 0.003 on this tool, it fails. After manually modifying CommandGenerate to accept this value as argument, it still fails.
Is there a way to make it work?
The text was updated successfully, but these errors were encountered:
LDBC SNB unfortunately stopped supporting Turtle as output (ldbc/ldbc_snb_datagen_spark#228). So we're using an older version of their generator, which does not seem to include that scale factor yet.
So there's no way to make this work I'm afraid, for this we'd need Turtle support in LDBC SNB.
I'm using this tool (with https://github.com/SolidLabResearch/css-populate) to generate data for benchmarking CSS. The default setting works correctly for me.
But during testing, I often found the data too large. I then found ldbc/ldbc_snb_datagen_spark#146 which added another scale factor (
scale
) value0.003
.But when trying to use
0.003
on this tool, it fails. After manually modifyingCommandGenerate
to accept this value as argument, it still fails.Is there a way to make it work?
The text was updated successfully, but these errors were encountered: