Using SPARQL Anything with parquet files

example.md

this approach relies on the fx:command property to transform the parquet file into csv

justin@X~/github/sparql.anything$ bash -c "python3 -c \"import pandas as pd ; pd.read_parquet(\\\"some.parquet\\\").to_csv(\\\"/dev/stdout\\\")\""
,name,age
0,bob,45
1,fred,3

then running the query below like this:

curl --silent  'http://localhost:3000/sparql.anything'  \
--header "Accept: text/csv" \
--data-urlencode 'query=
PREFIX  xyz:  <http://sparql.xyz/facade-x/data/>
PREFIX  fx:   <http://sparql.xyz/facade-x/ns/>
SELECT  *
WHERE
  { SERVICE <x-sparql-anything:>
      { fx:properties
                  fx:command     "python3 -c \"import pandas as pd ; pd.read_parquet(\\\"some.parquet\\\").to_csv(\\\"/dev/stdout\\\")\"" ;
                  fx:media-type  "text/csv" ;
                  fx:csv.headers "true" .
        ?s        ?p             ?o
      }
  }
'

produces:

s	p	o
_:b0	http://www\.w3\.org/1999/02/22\-rdf\-syntax\-ns\#type	http://sparql\.xyz/facade\-x/ns/root
_:b0	http://www\.w3\.org/1999/02/22\-rdf\-syntax\-ns\#\_1	_:b1
_:b0	http://www\.w3\.org/1999/02/22\-rdf\-syntax\-ns\#\_2	_:b2
_:b2	http://sparql\.xyz/facade\-x/data/	1
_:b2	http://sparql\.xyz/facade\-x/data/name	fred
_:b2	http://sparql\.xyz/facade\-x/data/age	3
_:b1	http://sparql\.xyz/facade\-x/data/	0
_:b1	http://sparql\.xyz/facade\-x/data/name	bob
_:b1	http://sparql\.xyz/facade\-x/data/age	45

query.rq

# this assumes you have `some.parquet` in your current directory directory

PREFIX  xyz:  <http://sparql.xyz/facade-x/data/>
PREFIX  fx:   <http://sparql.xyz/facade-x/ns/>
SELECT  *
WHERE
  { SERVICE <x-sparql-anything:>
      { fx:properties
                  fx:command     "python3 -c \"import pandas as pd ; pd.read_parquet(\\\"some.parquet\\\").to_csv(\\\"/dev/stdout\\\")\"" ;
                  fx:media-type  "text/csv" ;
                  fx:csv.headers "true" .
        ?s        ?p             ?o
      }
  }

NOTE:
you'll have to wait until the next release of sparql anything (the release after 0.8.2) to use this
OR
you'll have to run the docker container after this gets fixed.