Trino

https://trino.io

Warning

This backend is experimental and is subject to backwards incompatible changes.

Install

Install Ibis and dependencies for the Trino backend:

pip

Install with the trino extra:

pip install 'ibis-framework[trino]'

And connect:

import ibis

con = ibis.trino.connect()

1

Adjust connection parameters as needed.

conda

Install for Trino:

conda install -c conda-forge ibis-trino

And connect:

import ibis

con = ibis.trino.connect()

1

Adjust connection parameters as needed.

mamba

Install for Trino:

mamba install -c conda-forge ibis-trino

And connect:

import ibis

con = ibis.trino.connect()

1

Adjust connection parameters as needed.

Connect

ibis.trino.connect

con = ibis.trino.connect(
    user="user",
    password="password",
    port=8080,
    database="database",
    schema="default",
)

Note

ibis.trino.connect is a thin wrapper around ibis.backends.trino.Backend.do_connect.”

Connection Parameters

do_connect

do_connect(self, user='user', password=None, host='localhost', port=8080, database=None, schema=None, source=None, **connect_args)

Connect to Trino.

Parameters

Name	Type	Description	Default
user	str	Username to connect with	'user'
password	str | None	Password to connect with	None
host	str	Hostname of the Trino server	'localhost'
port	int	Port of the Trino server	8080
database	str | None	Catalog to use on the Trino server	None
schema	str | None	Schema to use on the Trino server	None
source	str | None	Application name passed to Trino	None
connect_args		Additional keyword arguments passed directly to SQLAlchemy’s create_engine	{}

Examples

>>> catalog = "hive"
>>> schema = "default"

Connect using a URL, with the default user, password, host and port

>>> con = ibis.connect(f"trino:///{catalog}/{schema}")

Connect using a URL

>>> con = ibis.connect(f"trino://user:password@host:port/{catalog}/{schema}")

Connect using keyword arguments

>>> con = ibis.trino.connect(database=catalog, schema=schema)
>>> con = ibis.trino.connect(database=catalog, schema=schema, source="my-app")

Authenticating with SSO

Ibis supports connecting to SSO-enabled Trino clusters using the OAuth2Authentication helper from the trino library.

import ibis
from trino.auth import OAuth2Authentication

con = ibis.trino.connect(
  user="user",
  host="hostname",
  port=443,
  database="database",
  schema="default",
  auth=OAuth2Authentication(),
  http_scheme="https"
)

Connecting to Starburst managed Trino instances

Starburst makes use of role-based access controls. When connecting to a Starburst Trino cluster, if you encounter issues listing or connecting to tables, ensure that a role is specified using the roles keyword.

import ibis

con = ibis.trino.connect(
    user="user",
    host="hostname",
    port=443,
    database="sample",
    schema="demo",
    roles="defaultrolewithtableaccess",
    http_scheme="https"
)

1

Role names will be visible in the Starburst Galaxy dashboard.

Finding your Starburst host

Log into Starburst Galaxy and select Clusters from the left-hand-side menu:

Select Connection info for the cluster you wish to connect to – the username and hostname displayed can be copied directly into the Ibis connect call.

trino.Backend

add_operation

add_operation(self, operation)

Add a translation function to the backend for a specific operation.

Operations are defined in ibis.expr.operations, and a translation function receives the translator object and an expression as parameters, and returns a value depending on the backend.

begin

begin(self)

compile

compile(self, expr, limit=None, params=None, timecontext=None)

Compile an Ibis expression.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression	required
limit	str | None	For expressions yielding result sets; retrieve at most this number of values/rows. Overrides any limit already set on the expression.	None
params	collections.abc.Mapping[ibis.ibis.Expr, typing.Any] | None	Named unbound parameters	None
timecontext	tuple[pandas.pandas.Timestamp, pandas.pandas.Timestamp] | None	Additional information about data source time boundaries	None

Returns

Type	Description
typing.Any	The output of compilation. The type of this value depends on the backend.

connect

connect(self, *args, **kwargs)

Connect to the database.

Parameters

Name	Type	Description	Default
*args		Mandatory connection parameters, see the docstring of do_connect for details.	()
**kwargs		Extra connection parameters, see the docstring of do_connect for details.	{}

Notes

This creates a new backend instance with saved args and kwargs, then calls reconnect and finally returns the newly created and connected backend instance.

Returns

Type	Description
ibis.backends.base.BaseBackend	An instance of the backend

create_schema

create_schema(self, name, database=None, force=False)

Create a schema named name in database.

Parameters

Name	Type	Description	Default
name	str	Name of the schema to create.	required
database	str | None	Name of the database in which to create the schema. If None, the current database is used.	None
force	bool	If False, an exception is raised if the schema exists.	False

create_table

create_table(self, name, obj=None, *, schema=None, database=None, temp=False, overwrite=False, comment=None, properties=None)

Create a table in Trino.

Parameters

Name	Type	Description	Default
name	str	Name of the table to create	required
obj	pandas.pandas.DataFrame | pyarrow.pyarrow.Table | ibis.ibis.Table | None	The data with which to populate the table; optional, but one of obj or schema must be specified	None
schema	ibis.ibis.Schema | None	The schema of the table to create; optional, but one of obj or schema must be specified	None
database	str | None	Not yet implemented.	None
temp	bool	This parameter is not yet supported in the Trino backend, because Trino doesn’t implement temporary tables	False
overwrite	bool	If True, replace the table if it already exists, otherwise fail if the table exists	False
comment	str | None	Add a comment to the table	None
properties	collections.abc.Mapping[str, typing.Any] | None	Table properties to set on creation	None

create_view

create_view(self, name, obj, *, database=None, overwrite=False)

database

database(self, name=None)

Return a Database object for the name database.

Parameters

Name	Type	Description	Default
name	str | None	Name of the database to return the object for.	None

Returns

Type	Description
ibis.backends.base.Database	A database object for the specified database.

drop_schema

drop_schema(self, name, database=None, force=False)

Drop the schema with name in database.

Parameters

Name	Type	Description	Default
name	str	Name of the schema to drop.	required
database	str | None	Name of the database to drop the schema from. If None, the current database is used.	None
force	bool	If False, an exception is raised if the schema does not exist.	False

drop_table

drop_table(self, name, database=None, force=False)

drop_view

drop_view(self, name, *, database=None, force=False)

execute

execute(self, expr, params=None, limit='default', **kwargs)

Compile and execute an Ibis expression.

Compile and execute Ibis expression using this backend client interface, returning results in-memory in the appropriate object type

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression	required
limit	str	For expressions yielding result sets; retrieve at most this number of values/rows. Overrides any limit already set on the expression.	'default'
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Named unbound parameters	None
kwargs	typing.Any	Backend specific arguments. For example, the clickhouse backend uses this to receive external_tables as a dictionary of pandas DataFrames.	{}

Returns

Type	Description
DataFrame | Series | Scalar	* Table: pandas.DataFrame * Column: pandas.Series * Scalar: Python scalar value

fetch_from_cursor

fetch_from_cursor(self, cursor, schema)

has_operation

has_operation(cls, operation)

insert

insert(self, table_name, obj, database=None, overwrite=False)

Insert data into a table.

Parameters

Name	Type	Description	Default
table_name	str	The name of the table to which data needs will be inserted	required
obj	pandas.pandas.DataFrame | ibis.ibis.Table | list | dict	The source data or expression to insert	required
database	str | None	Name of the attached database that the table is located in.	None
overwrite	bool	If True then replace existing contents of table	False

Raises

Type	Description
NotImplementedError	If inserting data from a different database
ValueError	If the type of obj isn’t supported

list_databases

list_databases(self, like=None)

List existing databases in the current connection.

Parameters

Name	Type	Description	Default
like	str | None	A pattern in Python’s regex format to filter returned database names.	None

Returns

Type	Description
list[str]	The database names that exist in the current connection, that match the like pattern if provided.

list_schemas

list_schemas(self, like=None, database=None)

list_tables

list_tables(self, like=None, database=None, schema=None)

List the tables in the database.

Parameters

Name	Type	Description	Default
like	str | None	A pattern to use for listing tables.	None
database	str | None	The database (catalog) to perform the list against.	None
schema	str | None	The schema inside database to perform the list against. ::: {.callout-warning} ## schema refers to database hierarchy The schema parameter does not refer to the column names and types of table. :::	None

raw_sql

raw_sql(self, query)

Execute a query and return the cursor used for execution.

Consider using .sql instead

If your query is a SELECT statement you can use the backend .sql method to avoid having to manually release the cursor returned from this method.

The cursor returned from this method must be manually released

You do not need to call .close() on the cursor when running DDL or DML statements like CREATE, INSERT or DROP, only when using SELECT statements.

To release a cursor, call the close method on the returned cursor object.

You can close the cursor by explicitly calling its close method:

cursor = con.raw_sql("SELECT ...")
cursor.close()

Or you can use a context manager:

with con.raw_sql("SELECT ...") as cursor:
    ...

Parameters

Name	Type	Description	Default
query	str | sqlalchemy.sqlalchemy.sql.sqlalchemy.sql.ClauseElement	SQL query or SQLAlchemy expression to execute	required

Examples

>>> con = ibis.connect("duckdb://")
>>> with con.raw_sql("SELECT 1") as cursor:
...     result = cursor.fetchall()
>>> result
[(1,)]
>>> cursor.closed
True

read_csv

read_csv(self, path, table_name=None, **kwargs)

Register a CSV file as a table in the current backend.

Parameters

Name	Type	Description	Default
path	str | pathlib.Path	The data source. A string or Path to the CSV file.	required
table_name	str | None	An optional name to use for the created table. This defaults to a sequentially generated name.	None
**kwargs	typing.Any	Additional keyword arguments passed to the backend loading function.	{}

Returns

Type	Description
ibis.ibis.Table	The just-registered table

read_delta

read_delta(self, source, table_name=None, **kwargs)

Register a Delta Lake table in the current database.

Parameters

Name	Type	Description	Default
source	str | pathlib.Path	The data source. Must be a directory containing a Delta Lake table.	required
table_name	str | None	An optional name to use for the created table. This defaults to a sequentially generated name.	None
**kwargs	typing.Any	Additional keyword arguments passed to the underlying backend or library.	{}

Returns

Type	Description
ibis.ibis.Table	The just-registered table.

read_json

read_json(self, path, table_name=None, **kwargs)

Register a JSON file as a table in the current backend.

Parameters

Name	Type	Description	Default
path	str | pathlib.Path	The data source. A string or Path to the JSON file.	required
table_name	str | None	An optional name to use for the created table. This defaults to a sequentially generated name.	None
**kwargs	typing.Any	Additional keyword arguments passed to the backend loading function.	{}

Returns

Type	Description
ibis.ibis.Table	The just-registered table

read_parquet

read_parquet(self, path, table_name=None, **kwargs)

Register a parquet file as a table in the current backend.

Parameters

Name	Type	Description	Default
path	str | pathlib.Path	The data source.	required
table_name	str | None	An optional name to use for the created table. This defaults to a sequentially generated name.	None
**kwargs	typing.Any	Additional keyword arguments passed to the backend loading function.	{}

Returns

Type	Description
ibis.ibis.Table	The just-registered table

reconnect

reconnect(self)

Reconnect to the database already configured with connect.

register_options

register_options(cls)

Register custom backend options.

rename_table

rename_table(self, old_name, new_name)

Rename an existing table.

Parameters

Name	Type	Description	Default
old_name	str	The old name of the table.	required
new_name	str	The new name of the table.	required

schema

schema(self, name)

Get an ibis schema from the current database for the table name.

Parameters

Name	Type	Description	Default
name	str	Table name	required

Returns

Type	Description
Schema	The ibis schema of name

sql

sql(self, query, schema=None, dialect=None)

Convert a SQL query to an Ibis table expression.

Parameters

Name	Type	Description	Default
query	str	SQL string	required
schema	ibis.ibis.Schema | None	The expected schema for this query. If not provided, will be inferred automatically if possible.	None
dialect	str | None	Optional string indicating the dialect of query. The default value of None will use the backend’s native dialect.	None

Returns

Type	Description
Table	Table expression

table

table(self, name, database=None, schema=None)

Create a table expression from a table in the database.

Parameters

Name	Type	Description	Default
name	str	Table name	required
database	str | None	The database the table resides in	None
schema	str | None	The schema inside database where the table resides. ::: {.callout-warning} ## schema refers to database hierarchy The schema parameter does not refer to the column names and types of table. :::	None

Returns

Type	Description
Table	Table expression

to_csv

to_csv(self, expr, path, *, params=None, **kwargs)

Write the results of executing the given expression to a CSV file.

This method is eager and will execute the associated expression immediately.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Table	The ibis expression to execute and persist to CSV.	required
path	str | pathlib.Path	The data source. A string or Path to the CSV file.	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
kwargs	typing.Any	Additional keyword arguments passed to pyarrow.csv.CSVWriter	{}
https			required

to_delta

to_delta(self, expr, path, *, params=None, **kwargs)

Write the results of executing the given expression to a Delta Lake table.

This method is eager and will execute the associated expression immediately.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Table	The ibis expression to execute and persist to Delta Lake table.	required
path	str | pathlib.Path	The data source. A string or Path to the Delta Lake table.	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
kwargs	typing.Any	Additional keyword arguments passed to deltalake.writer.write_deltalake method	{}

to_pandas

to_pandas(self, expr, *, params=None, limit=None, **kwargs)

Execute an Ibis expression and return a pandas DataFrame, Series, or scalar.

Note

This method is a wrapper around execute.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression to execute.	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
limit	int | str | None	An integer to effect a specific row limit. A value of None means “no limit”. The default is in ibis/config.py.	None
kwargs	typing.Any	Keyword arguments	{}

to_pandas_batches

to_pandas_batches(self, expr, *, params=None, limit=None, chunk_size=1000000, **kwargs)

Execute an Ibis expression and return an iterator of pandas DataFrames.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression to execute.	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
limit	int | str | None	An integer to effect a specific row limit. A value of None means “no limit”. The default is in ibis/config.py.	None
chunk_size	int	Maximum number of rows in each returned DataFrame batch. This may have no effect depending on the backend.	1000000
kwargs	typing.Any	Keyword arguments	{}

Returns

Type	Description
collections.abc.Iterator[pandas.pandas.DataFrame]	An iterator of pandas DataFrames.

to_parquet

to_parquet(self, expr, path, *, params=None, **kwargs)

Write the results of executing the given expression to a parquet file.

This method is eager and will execute the associated expression immediately.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Table	The ibis expression to execute and persist to parquet.	required
path	str | pathlib.Path	The data source. A string or Path to the parquet file.	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
**kwargs	typing.Any	Additional keyword arguments passed to pyarrow.parquet.ParquetWriter	{}
https			required

to_pyarrow

to_pyarrow(self, expr, *, params=None, limit=None, **kwargs)

Execute expression and return results in as a pyarrow table.

This method is eager and will execute the associated expression immediately.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression to export to pyarrow	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
limit	int | str | None	An integer to effect a specific row limit. A value of None means “no limit”. The default is in ibis/config.py.	None
kwargs	typing.Any	Keyword arguments	{}

Returns

Type	Description
Table	A pyarrow table holding the results of the executed expression.

to_pyarrow_batches

to_pyarrow_batches(self, expr, *, params=None, limit=None, chunk_size=1000000, **_)

Execute expression and return an iterator of pyarrow record batches.

This method is eager and will execute the associated expression immediately.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression to export to pyarrow	required
limit	int | str | None	An integer to effect a specific row limit. A value of None means “no limit”. The default is in ibis/config.py.	None
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Mapping of scalar parameter expressions to value.	None
chunk_size	int	Maximum number of rows in each returned record batch.	1000000

Returns

Type	Description
RecordBatchReader	Collection of pyarrow RecordBatchs.

to_torch

to_torch(self, expr, *, params=None, limit=None, **kwargs)

Execute an expression and return results as a dictionary of torch tensors.

Parameters

Name	Type	Description	Default
expr	ibis.ibis.Expr	Ibis expression to execute.	required
params	collections.abc.Mapping[ibis.ibis.Scalar, typing.Any] | None	Parameters to substitute into the expression.	None
limit	int | str | None	An integer to effect a specific row limit. A value of None means no limit.	None
kwargs	typing.Any	Keyword arguments passed into the backend’s to_torch implementation.	{}

Returns

Type	Description
dict[str, torch.torch.Tensor]	A dictionary of torch tensors, keyed by column name.

truncate_table

truncate_table(self, name, database=None)