Skip to main content

A python package for Substrait.

Project description

Substrait

PyPI version conda-forge version

A Python package for Substrait, the cross-language specification for data compute operations.

Installation

You can install the Python substrait bindings from PyPI or conda-forge

pip install substrait
conda install -c conda-forge python-substrait  # or use mamba

Goals

This project aims to provide a Python interface for the Substrait specification. It will allow users to construct and manipulate a Substrait Plan from Python for evaluation by a Substrait consumer, such as DataFusion or DuckDB.

Non-goals

This project is not an execution engine for Substrait Plans.

Status

This is an experimental package that is still under development.

Example

Produce a Substrait Plan

The substrait.proto module provides access to the classes that represent a substrait Plan, thus allowing to create new plans.

Here is an example plan equivalent to SELECT first_name FROM person where people table has first_name and surname columns of type String

>>> from substrait import proto
>>> plan = proto.Plan(
...   relations=[
...     proto.PlanRel(
...       root=proto.RelRoot(
...         names=["first_name"], 
...         input=proto.Rel(
...           read=proto.ReadRel(
...             named_table=proto.ReadRel.NamedTable(names=["people"]),
...             base_schema=proto.NamedStruct(
...               names=["first_name", "surname"], 
...               struct=proto.Type.Struct(
...                 types=[
...                   proto.Type(string=proto.Type.String(nullability=proto.Type.Nullability.NULLABILITY_REQUIRED)), 
...                   proto.Type(string=proto.Type.String(nullability=proto.Type.Nullability.NULLABILITY_REQUIRED))
...                 ]  # /types
...               )  # /struct
...             )  # /base_schema
...           )  # /read
...         )  # /input
...       )  # /root
...     )  # /PlanRel
...   ]  # /relations
... )
>>> print(plan)
relations {
  root {
    input {
      read {
        base_schema {
          names: "first_name"
          names: "surname"
          struct {
            types {
              string {
                nullability: NULLABILITY_REQUIRED
              }
            }
            types {
              string {
                nullability: NULLABILITY_REQUIRED
              }
            }
          }
        }
        named_table {
          names: "people"
        }
      }
    }
    names: "first_name"
  }
}
>>> serialized_plan = p.SerializeToString()
>>> serialized_plan
b'\x1aA\x12?\n1\n/\x12#\n\nfirst_name\n\x07surname\x12\x0c\n\x04b\x02\x10\x02\n\x04b\x02\x10\x02:\x08\n\x06people\x12\nfirst_name'

Consume the Substrait Plan

The same plan we generated in the previous example, can be loaded back from its binary representation using the Plan.ParseFromString method:

>>> from substrait.proto import Plan
>>> p = Plan()
>>> p.ParseFromString(serialized_plan)
67
>>> p
relations {
  root {
    input {
      read {
        base_schema {
          names: "first_name"
          names: "surname"
          struct {
            types {
              string {
                nullability: NULLABILITY_REQUIRED
              }
            }
            types {
              string {
                nullability: NULLABILITY_REQUIRED
              }
            }
          }
        }
        named_table {
          names: "people"
        }
      }
    }
    names: "first_name"
  }
}

Load a Substrait Plan from JSON

A substrait plan can be loaded from its JSON representation using the substrait.json.load_json and substrait.json.parse_json functions:

>>> import substrait.json
>>> jsontext = """{
...   "relations":[
...     {
...       "root":{
...         "input":{
...           "read":{
...             "baseSchema":{
...               "names":[
...                 "first_name",
...                 "surname"
...               ],
...               "struct":{
...                 "types":[
...                   {
...                     "string":{
...                       "nullability":"NULLABILITY_REQUIRED"
...                     }
...                   },
...                   {
...                     "string":{
...                       "nullability":"NULLABILITY_REQUIRED"
...                     }
...                   }
...                 ]
...               }
...             },
...             "namedTable":{
...               "names":[
...                 "people"
...               ]
...             }
...           }
...         },
...         "names":[
...           "first_name"
...         ]
...       }
...     }
...   ]
... }"""
>>> substrait.json.parse_json(jsontext)
relations {
  root {
    input {
      read {
        base_schema {
          names: "first_name"
          names: "surname"
          struct {
            types {
              string {
                nullability: NULLABILITY_REQUIRED
              }
            }
            types {
              string {
                nullability: NULLABILITY_REQUIRED
              }
            }
          }
        }
        named_table {
          names: "people"
        }
      }
    }
    names: "first_name"
  }
}

Produce a Substrait Plan with Ibis

Let's use an existing Substrait producer, Ibis, to provide an example using Python Substrait as the consumer.

In [1]: import ibis

In [2]: movie_ratings = ibis.table(
   ...:     [
   ...:         ("tconst", "str"),
   ...:         ("averageRating", "str"),
   ...:         ("numVotes", "str"),
   ...:     ],
   ...:     name="ratings",
   ...: )
   ...:

In [3]: query = movie_ratings.select(
   ...:     movie_ratings.tconst,
   ...:     avg_rating=movie_ratings.averageRating.cast("float"),
   ...:     num_votes=movie_ratings.numVotes.cast("int"),
   ...: )

In [4]: from ibis_substrait.compiler.core import SubstraitCompiler

In [5]: compiler = SubstraitCompiler()

In [6]: protobuf_msg = compiler.compile(query).SerializeToString()

In [7]: from substrait.proto import Plan

In [8]: my_plan = Plan()

In [9]: my_plan.ParseFromString(protobuf_msg)
Out[9]: 186

In [10]: print(my_plan)
relations {
  root {
    input {
      project {
        common {
          emit {
            output_mapping: 3
            output_mapping: 4
            output_mapping: 5
          }
        }
        input {
          read {
            common {
              direct {
              }
            }
            base_schema {
              names: "tconst"
              names: "averageRating"
              names: "numVotes"
              struct {
                types {
                  string {
                    nullability: NULLABILITY_NULLABLE
                  }
                }
                types {
                  string {
                    nullability: NULLABILITY_NULLABLE
                  }
                }
                types {
                  string {
                    nullability: NULLABILITY_NULLABLE
                  }
                }
                nullability: NULLABILITY_REQUIRED
              }
            }
            named_table {
              names: "ratings"
            }
          }
        }
        expressions {
          selection {
            direct_reference {
              struct_field {
              }
            }
            root_reference {
            }
          }
        }
        expressions {
          cast {
            type {
              fp64 {
                nullability: NULLABILITY_NULLABLE
              }
            }
            input {
              selection {
                direct_reference {
                  struct_field {
                    field: 1
                  }
                }
                root_reference {
                }
              }
            }
            failure_behavior: FAILURE_BEHAVIOR_THROW_EXCEPTION
          }
        }
        expressions {
          cast {
            type {
              i64 {
                nullability: NULLABILITY_NULLABLE
              }
            }
            input {
              selection {
                direct_reference {
                  struct_field {
                    field: 2
                  }
                }
                root_reference {
                }
              }
            }
            failure_behavior: FAILURE_BEHAVIOR_THROW_EXCEPTION
          }
        }
      }
    }
    names: "tconst"
    names: "avg_rating"
    names: "num_votes"
  }
}
version {
  minor_number: 24
  producer: "ibis-substrait"
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

substrait-0.17.0.tar.gz (93.7 kB view details)

Uploaded Source

Built Distribution

substrait-0.17.0-py3-none-any.whl (100.8 kB view details)

Uploaded Python 3

File details

Details for the file substrait-0.17.0.tar.gz.

File metadata

  • Download URL: substrait-0.17.0.tar.gz
  • Upload date:
  • Size: 93.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for substrait-0.17.0.tar.gz
Algorithm Hash digest
SHA256 368575e97d9e671e804494ab6075a2feae1a6763effc04f9566688f3badada1e
MD5 2db159cab3066496f7e670e903751304
BLAKE2b-256 bc13a1ca69baa91f6e220bae5855e1da4ef9d9325218bc35d084e3f9d021af49

See more details on using hashes here.

File details

Details for the file substrait-0.17.0-py3-none-any.whl.

File metadata

  • Download URL: substrait-0.17.0-py3-none-any.whl
  • Upload date:
  • Size: 100.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for substrait-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 30642d00341d385807c600870960b51909ccf89c3c299480931523ffd7e93029
MD5 c2069dbce908e7cfcc14dc24e6ebd0de
BLAKE2b-256 028e36297b569d9011fc4db90b427d88751a8aa519433ba81a8ee991cbf6e3d5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page