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title: sqlalchemy.ext compiler Example Code category: page slug: sqlalchemy-ext-compiler-examples sortorder: 500031044 toc: False sidebartitle: sqlalchemy.ext compiler meta: Python example code that shows how to use the compiler callable from the sqlalchemy.ext module of the SQLAlchemy project.

compiler is a callable within the sqlalchemy.ext module of the SQLAlchemy project.

Example 1 from Amazon Redshift SQLAlchemy Dialect

Amazon Redshift SQLAlchemy Dialect is a SQLAlchemy Dialect that can communicate with the AWS Redshift data store. The SQL is essentially PostgreSQL and requires psycopg2 to properly operate. This project and its code are open sourced under the MIT license.

Amazon Redshift SQLAlchemy Dialect / sqlalchemy_redshift / commands.py

# commands.py
import enum
import numbers
import re
import warnings
try:
    from collections.abc import Iterable
except ImportError:
    from collections import Iterable

import sqlalchemy as sa
from sqlalchemy import exc as sa_exc
~~from sqlalchemy.ext import compiler as sa_compiler
from sqlalchemy.sql import expression as sa_expression



ACCESS_KEY_ID_RE = re.compile('[A-Z0-9]{20}')
SECRET_ACCESS_KEY_RE = re.compile('[A-Za-z0-9/+=]{40}')
TOKEN_RE = re.compile('[A-Za-z0-9/+=]+')
AWS_ACCOUNT_ID_RE = re.compile('[0-9]{12}')
IAM_ROLE_NAME_RE = re.compile('[A-Za-z0-9+=,.@-_]{1,64}')


def _process_aws_credentials(access_key_id=None, secret_access_key=None,
                             session_token=None, aws_account_id=None,
                             iam_role_name=None):

    if (access_key_id is not None and secret_access_key is not None and
            aws_account_id is not None and iam_role_name is not None):
        raise TypeError(
            'Either access key based credentials or role based credentials '
            'should be specified, but not both'
        )

    credentials = None



## ... source file abbreviated to get to compiler examples ...


        if ignore_extra and fill_target:
            raise ValueError(
                '"ignore_extra" cannot be used with "fill_target".')

        self.source = source
        self.target = target
        self.ignore_extra = ignore_extra
        self.fill_target = fill_target


@sa_compiler.compiles(AlterTableAppendCommand)
def visit_alter_table_append_command(element, compiler, **kw):
    if element.ignore_extra:
        fill_option = 'IGNOREEXTRA'
    elif element.fill_target:
        fill_option = 'FILLTARGET'
    else:
        fill_option = ''

    query_text = \
        'ALTER TABLE {target} APPEND FROM {source} {fill_option}'.format(
~~            target=compiler.preparer.format_table(element.target),
~~            source=compiler.preparer.format_table(element.source),
            fill_option=fill_option,
        )
~~    return compiler.process(sa.text(query_text), **kw)


class UnloadFromSelect(_ExecutableClause):

    def __init__(self, select, unload_location, access_key_id=None,
                 secret_access_key=None, session_token=None,
                 aws_account_id=None, iam_role_name=None,
                 manifest=False, delimiter=None, fixed_width=None,
                 encrypted=False, gzip=False, add_quotes=False, null=None,
                 escape=False, allow_overwrite=False, parallel=True,
                 header=False, region=None, max_file_size=None,
                 format=None):

        if delimiter is not None and len(delimiter) != 1:
            raise ValueError(
                '"delimiter" parameter must be a single character'
            )

        if header and fixed_width is not None:
            raise ValueError(
                "'header' cannot be used with 'fixed_width'"
            )

        credentials = _process_aws_credentials(


## ... source file abbreviated to get to compiler examples ...


    if element.max_error is not None:
        parameters.append('MAXERROR AS :error_count')
        bindparams.append(sa.bindparam(
            'error_count',
            value=element.max_error,
            type_=sa.Integer,
        ))

    if element.no_load:
        parameters.append('NOLOAD')

    if element.stat_update:
        parameters.append('STATUPDATE ON')
    elif element.stat_update is not None:
        parameters.append('STATUPDATE OFF')

    if element.region is not None:
        parameters.append('REGION :region')
        bindparams.append(sa.bindparam(
            'region',
            value=element.region,
            type_=sa.String
        ))

    columns = ' (%s)' % ', '.join(
~~        compiler.preparer.format_column(column) for column in element.columns
    ) if element.columns else ''

    qs = qs.format(
~~        table=compiler.preparer.format_table(element.table),
        columns=columns,
        format=format_,
        parameters='\n'.join(parameters)
    )

~~    return compiler.process(sa.text(qs).bindparams(*bindparams), **kw)


class CreateLibraryCommand(_ExecutableClause):
    def __init__(self, library_name, location, access_key_id=None,
                 secret_access_key=None, session_token=None,
                 aws_account_id=None, iam_role_name=None, replace=False,
                 region=None):
        self.library_name = library_name
        self.location = location
        self.credentials = _process_aws_credentials(
            access_key_id=access_key_id,
            secret_access_key=secret_access_key,
            session_token=session_token,
            aws_account_id=aws_account_id,
            iam_role_name=iam_role_name,
        )
        self.replace = replace
        self.region = region


@sa_compiler.compiles(CreateLibraryCommand)
def visit_create_library_command(element, compiler, **kw):
    query = """
        CREATE {or_replace} LIBRARY {name}


class AlterTableAppendCommand(_ExecutableClause):
    def __init__(self, source, target, ignore_extra=False, fill_target=False):


## ... source file continues with no further compiler examples...

Example 2 from sqlalchemy-utils

sqlalchemy-utils (project documentation and PyPI package information) is a code library with various helper functions and new data types that make it easier to use SQLAlchemy when building projects that involve more specific storage requirements such as currency. The wide array of data types includes ranged values and aggregated attributes.

sqlalchemy-utils / sqlalchemy_utils / view.py

# view.py
import sqlalchemy as sa
~~from sqlalchemy.ext import compiler
from sqlalchemy.schema import DDLElement, PrimaryKeyConstraint


class CreateView(DDLElement):
    def __init__(self, name, selectable, materialized=False):
        self.name = name
        self.selectable = selectable
        self.materialized = materialized


@compiler.compiles(CreateView)
def compile_create_materialized_view(element, compiler, **kw):
    return 'CREATE {}VIEW {} AS {}'.format(
        'MATERIALIZED ' if element.materialized else '',
        element.name,
~~        compiler.sql_compiler.process(element.selectable, literal_binds=True),
    )


class DropView(DDLElement):
    def __init__(self, name, materialized=False, cascade=True):
        self.name = name
        self.materialized = materialized
        self.cascade = cascade


@compiler.compiles(DropView)
def compile_drop_materialized_view(element, compiler, **kw):
    return 'DROP {}VIEW IF EXISTS {} {}'.format(
        'MATERIALIZED ' if element.materialized else '',
        element.name,
        'CASCADE' if element.cascade else ''
    )


def create_table_from_selectable(
    name,
    selectable,
    indexes=None,
    metadata=None,


## ... source file continues with no further compiler examples...