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https://issues.apache.org/jira/browse/ARROW-10958?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Samay Kapadia updated ARROW-10958:
----------------------------------
Description:
Hey all,
For some context, I am trying to use Arrow's GLib interface through Julia; I
have a sense that I can speedup by pandas workflows by using Julia and Apache
Arrow.
I have a 1.7GB parquet file that can be read in about 20s by using pyarrow's
parquet reader
{code:java}
pq.read_table(path)
{code}
I've tried to do the same thing through the GLib interface in Julia, but I see
this error instead :(
{code:python}
[parquet][arrow][file-reader][read-table]: NotImplemented: Nested data
conversions not implemented for chunked array outputs
{code}
Arrow was installed using {{brew install apache-arrow-glib}} and it installed
version 2.0.0
Here's my Julia code:
{code:python}
using Pkg
Pkg.add("Gtk")
using Gtk.GLib
using Gtk
path = "..." # contains columns that are lists of strings
struct _GParquetArrowFileReader
parent_instance::Cint
end
const GParquetArrowFileReader = _GParquetArrowFileReaderstruct
_GParquetArrowFileReaderClass
parent_class::Cint
end
const GParquetArrowFileReaderClass = _GParquetArrowFileReaderClass
struct _GArrowTable
parent_instance::Cint
end
const GArrowTable = _GArrowTable
struct _GArrowTableClass
parent_class::Cint
end
const GArrowTableClass = _GArrowTableClass
function
parquet_arrow_file_reader_new_path(path::String)::Ptr{GParquetArrowFileReader}
ret::Ptr{GParquetArrowFileReader} = 0
GError() do error_check
ret = ccall(
(:gparquet_arrow_file_reader_new_path,
"/usr/local/Cellar/apache-arrow-glib/2.0.0/lib/libparquet-glib.200"),
Ptr{GParquetArrowFileReader},
(Ptr{UInt8}, Ptr{Ptr{GError}}),
Gtk.bytestring(path), error_check
)
ret != 0
end
ret
end
function
parquet_arrow_file_reader_read_table(reader::Ptr{GParquetArrowFileReader})::Ptr{GArrowTable}
ret::Ptr{GArrowTable} = 0
GError() do error_check
ret = ccall(
(:gparquet_arrow_file_reader_read_table,
"/usr/local/Cellar/apache-arrow-glib/2.0.0/lib/libparquet-glib.200"),
Ptr{GParquetArrowFileReader},
(Ptr{GParquetArrowFileReader}, Ptr{Ptr{GError}}),
reader, error_check
)
ret != 0
end
ret
end
reader = parquet_arrow_file_reader_new_path(path)
tbl = parquet_arrow_file_reader_read_table(reader)
{code}
Am I doing something wrong or is there a behavior discrepancy between pyarrow
and glib?
was:
Hey all,
For some context, I am trying to use Arrow's GLib interface through Julia; I
have a sense that I can speedup by pandas workflows by using Julia and Apache
Arrow.
I have a 1.7GB parquet file that can be read in about 20s by using pyarrow's
parquet reader
{code:java}
pq.read_table(path)
{code}
but I've tried to go the same through the GLib interface in Julia and I'm seeing
{code:python}
[parquet][arrow][file-reader][read-table]: NotImplemented: Nested data
conversions not implemented for chunked array outputs
{code}
Arrow was installed using {{brew install apache-arrow-glib}} and it installed
version 2.0.0
Here's my Julia code:
{code:python}
using Pkg
Pkg.add("Gtk")
using Gtk.GLib
using Gtk
path = "..." # contains columns that are lists of strings
struct _GParquetArrowFileReader
parent_instance::Cint
end
const GParquetArrowFileReader = _GParquetArrowFileReaderstruct
_GParquetArrowFileReaderClass
parent_class::Cint
end
const GParquetArrowFileReaderClass = _GParquetArrowFileReaderClass
struct _GArrowTable
parent_instance::Cint
end
const GArrowTable = _GArrowTable
struct _GArrowTableClass
parent_class::Cint
end
const GArrowTableClass = _GArrowTableClass
function
parquet_arrow_file_reader_new_path(path::String)::Ptr{GParquetArrowFileReader}
ret::Ptr{GParquetArrowFileReader} = 0
GError() do error_check
ret = ccall(
(:gparquet_arrow_file_reader_new_path,
"/usr/local/Cellar/apache-arrow-glib/2.0.0/lib/libparquet-glib.200"),
Ptr{GParquetArrowFileReader},
(Ptr{UInt8}, Ptr{Ptr{GError}}),
Gtk.bytestring(path), error_check
)
ret != 0
end
ret
end
function
parquet_arrow_file_reader_read_table(reader::Ptr{GParquetArrowFileReader})::Ptr{GArrowTable}
ret::Ptr{GArrowTable} = 0
GError() do error_check
ret = ccall(
(:gparquet_arrow_file_reader_read_table,
"/usr/local/Cellar/apache-arrow-glib/2.0.0/lib/libparquet-glib.200"),
Ptr{GParquetArrowFileReader},
(Ptr{GParquetArrowFileReader}, Ptr{Ptr{GError}}),
reader, error_check
)
ret != 0
end
ret
end
reader = parquet_arrow_file_reader_new_path(path)
tbl = parquet_arrow_file_reader_read_table(reader)
{code}
Am I doing something wrong or is there a behavior discrepancy between pyarrow
and glib?
> "Nested data conversions not implemented" through glib, but not through
> pyarrow
> -------------------------------------------------------------------------------
>
> Key: ARROW-10958
> URL: https://issues.apache.org/jira/browse/ARROW-10958
> Project: Apache Arrow
> Issue Type: Bug
> Components: GLib
> Affects Versions: 2.0.0
> Environment: macOS Catalina 10.15.7
> Reporter: Samay Kapadia
> Priority: Major
>
> Hey all,
> For some context, I am trying to use Arrow's GLib interface through Julia; I
> have a sense that I can speedup by pandas workflows by using Julia and Apache
> Arrow.
> I have a 1.7GB parquet file that can be read in about 20s by using pyarrow's
> parquet reader
> {code:java}
> pq.read_table(path)
> {code}
> I've tried to do the same thing through the GLib interface in Julia, but I
> see this error instead :(
> {code:python}
> [parquet][arrow][file-reader][read-table]: NotImplemented: Nested data
> conversions not implemented for chunked array outputs
> {code}
> Arrow was installed using {{brew install apache-arrow-glib}} and it installed
> version 2.0.0
> Here's my Julia code:
> {code:python}
> using Pkg
> Pkg.add("Gtk")
> using Gtk.GLib
> using Gtk
> path = "..." # contains columns that are lists of strings
> struct _GParquetArrowFileReader
> parent_instance::Cint
> end
> const GParquetArrowFileReader = _GParquetArrowFileReaderstruct
> _GParquetArrowFileReaderClass
> parent_class::Cint
> end
> const GParquetArrowFileReaderClass = _GParquetArrowFileReaderClass
> struct _GArrowTable
> parent_instance::Cint
> end
> const GArrowTable = _GArrowTable
> struct _GArrowTableClass
> parent_class::Cint
> end
> const GArrowTableClass = _GArrowTableClass
> function
> parquet_arrow_file_reader_new_path(path::String)::Ptr{GParquetArrowFileReader}
> ret::Ptr{GParquetArrowFileReader} = 0
> GError() do error_check
> ret = ccall(
> (:gparquet_arrow_file_reader_new_path,
> "/usr/local/Cellar/apache-arrow-glib/2.0.0/lib/libparquet-glib.200"),
> Ptr{GParquetArrowFileReader},
> (Ptr{UInt8}, Ptr{Ptr{GError}}),
> Gtk.bytestring(path), error_check
> )
> ret != 0
> end
> ret
> end
> function
> parquet_arrow_file_reader_read_table(reader::Ptr{GParquetArrowFileReader})::Ptr{GArrowTable}
> ret::Ptr{GArrowTable} = 0
> GError() do error_check
> ret = ccall(
> (:gparquet_arrow_file_reader_read_table,
> "/usr/local/Cellar/apache-arrow-glib/2.0.0/lib/libparquet-glib.200"),
> Ptr{GParquetArrowFileReader},
> (Ptr{GParquetArrowFileReader}, Ptr{Ptr{GError}}),
> reader, error_check
> )
> ret != 0
> end
> ret
> end
> reader = parquet_arrow_file_reader_new_path(path)
> tbl = parquet_arrow_file_reader_read_table(reader)
> {code}
> Am I doing something wrong or is there a behavior discrepancy between pyarrow
> and glib?
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