Пример #1
0
 def schemaFromString(self, string):
     """
     Createa a L{Schema}
     """
     s = Schema(self.id())
     addSQLToSchema(s, string)
     return s
Пример #2
0
 def schemaFromString(self, string):
     """
     Createa a L{Schema}
     """
     s = Schema(self.id())
     addSQLToSchema(s, string)
     return s
def dumpCurrentSchema(verbose=False):

    schema = Schema("Dumped schema")
    tables = {}

    # Tables
    rows = execSQL(
        "Schema tables...",
        "select table_name from information_schema.tables where table_schema = 'public';",
        verbose
    )
    for row in rows:
        name = row
        table = Table(schema, name)
        tables[name] = table

        # Columns
        rows = execSQL(
            "Reading table '{}' columns...".format(name),
            "select column_name from information_schema.columns where table_schema = 'public' and table_name = '{}';".format(name),
            verbose
        )
        for row in rows:
            name = row
            # TODO: figure out the type
            column = Column(table, name, None)
            table.columns.append(column)

    # Indexes
    # TODO: handle implicit indexes created via primary key() and unique() statements within CREATE TABLE
    rows = execSQL(
        "Schema indexes...",
        "select indexdef from pg_indexes where schemaname = 'public';",
        verbose
    )
    for indexdef in rows:
        addSQLToSchema(schema, indexdef.replace("public.", ""))

    # Sequences
    rows = execSQL(
        "Schema sequences...",
        "select sequence_name from information_schema.sequences where sequence_schema = 'public';",
        verbose
    )
    for row in rows:
        name = row
        Sequence(schema, name)

    return schema
Пример #4
0
def dumpCurrentSchema(verbose=False):

    schema = Schema("Dumped schema")
    tables = {}

    # Tables
    rows = execSQL(
        "Schema tables...",
        "select table_name from information_schema.tables where table_schema = 'public';",
        verbose)
    for row in rows:
        name = row
        table = Table(schema, name)
        tables[name] = table

        # Columns
        rows = execSQL(
            "Reading table '{}' columns...".format(name),
            "select column_name from information_schema.columns where table_schema = 'public' and table_name = '{}';"
            .format(name), verbose)
        for row in rows:
            name = row
            # TODO: figure out the type
            column = Column(table, name, None)
            table.columns.append(column)

    # Indexes
    # TODO: handle implicit indexes created via primary key() and unique() statements within CREATE TABLE
    rows = execSQL(
        "Schema indexes...",
        "select indexdef from pg_indexes where schemaname = 'public';",
        verbose)
    for indexdef in rows:
        addSQLToSchema(schema, indexdef.replace("public.", ""))

    # Sequences
    rows = execSQL(
        "Schema sequences...",
        "select sequence_name from information_schema.sequences where sequence_schema = 'public';",
        verbose)
    for row in rows:
        name = row
        Sequence(schema, name)

    return schema
Пример #5
0
def dumpSchema(txn, title, schemaname="public"):
    """
    Generate the L{Schema}.
    """

    schemaname = schemaname.lower()

    schema = Schema(title)
    tables = {}

    # Tables
    rows = yield txn.execSQL("select table_name from information_schema.tables where table_schema = '%s';" % (schemaname,))
    for row in rows:
        name = row[0]
        table = Table(schema, name)
        tables[name] = table

        # Columns
        rows = yield txn.execSQL("select column_name from information_schema.columns where table_schema = '%s' and table_name = '%s';" % (schemaname, name,))
        for row in rows:
            name = row[0]
            # TODO: figure out the type
            column = Column(table, name, None)
            table.columns.append(column)

    # Indexes
    # TODO: handle implicit indexes created via primary key() and unique() statements within CREATE TABLE
    rows = yield txn.execSQL("select indexdef from pg_indexes where schemaname = '%s';" % (schemaname,))
    for indexdef in rows:
        addSQLToSchema(schema, indexdef[0].replace("%s." % (schemaname,), ""))

    # Sequences
    rows = yield txn.execSQL("select sequence_name from information_schema.sequences where sequence_schema = '%s';" % (schemaname,))
    for row in rows:
        name = row[0]
        Sequence(schema, name)

    returnValue(schema)
Пример #6
0
def dumpCurrentSchema(verbose=False):

    schemaname = "public"

    schema = Schema("Dumped schema")

    # Sequences
    seqs = {}
    rows = execSQL(
        "Schema sequences...",
        "select sequence_name from information_schema.sequences where sequence_schema = '%s';" % (schemaname,),
        verbose
    )
    for row in rows:
        name = row[0]
        seqs[name.upper()] = Sequence(schema, name.upper())

    # Tables
    tables = {}
    rows = execSQL(
        "Schema tables...",
        "select table_name from information_schema.tables where table_schema = '%s';" % (schemaname,),
        verbose
    )
    for row in rows:
        name = row[0]
        table = Table(schema, name.upper())
        tables[name.upper()] = table

        # Columns
        rows = execSQL(
            "Reading table '{}' columns...".format(name),
            "select column_name, data_type, is_nullable, character_maximum_length, column_default from information_schema.columns where table_schema = '%s' and table_name = '%s';" % (schemaname, name,),
            verbose,
        )
        for name, datatype, is_nullable, charlen, default in rows:
            # TODO: figure out the type
            column = Column(table, name.upper(), SQLType(DTYPE_MAP_POSTGRES.get(datatype, datatype), int(charlen) if charlen else 0))
            table.columns.append(column)
            if default:
                if default.startswith("nextval("):
                    dname = default.split("'")[1].split(".")[-1]
                    column.default = seqs[dname.upper()]
                elif default in DEFAULTVALUE_MAP_POSTGRES:
                    column.default = DEFAULTVALUE_MAP_POSTGRES[default]
                else:
                    try:
                        column.default = int(default)
                    except ValueError:
                        column.default = default
            if is_nullable == "NO":
                table.tableConstraint(Constraint.NOT_NULL, [column.name, ])

    # Key columns
    keys = {}
    rows = execSQL(
        "Schema key columns...",
        "select constraint_name, table_name, column_name from information_schema.key_column_usage where constraint_schema = '%s';" % (schemaname,),
        verbose
    )
    for conname, tname, cname in rows:
        keys[conname] = (tname, cname)

    # Constraints
    constraints = {}
    rows = execSQL(
        "SChema constraints...",
        "select constraint_name, table_name, column_name from information_schema.constraint_column_usage where constraint_schema = '%s';" % (schemaname,),
        verbose
    )
    for conname, tname, cname in rows:
        constraints[conname] = (tname, cname)

    # References - referential_constraints
    rows = execSQL(
        "Schema referential constraints...",
        "select constraint_name, unique_constraint_name, delete_rule from information_schema.referential_constraints where constraint_schema = '%s';" % (schemaname,),
        verbose
    )
    for conname, uconname, delete in rows:
        table = tables[keys[conname][0].upper()]
        column = table.columnNamed(keys[conname][1].upper())
        column.doesReferenceName(constraints[uconname][0].upper())
        if delete != "NO ACTION":
            column.deleteAction = delete.lower()

    # Indexes
    # TODO: handle implicit indexes created via primary key() and unique() statements within CREATE TABLE
    rows = execSQL(
        "Schema indexes...",
        "select indexdef from pg_indexes where schemaname = '%s';" % (schemaname,),
        verbose
    )
    for indexdef in rows:
        addSQLToSchema(schema, indexdef[0].replace("%s." % (schemaname,), "").upper())

    # Functions
    rows = execSQL(
        "Schema functions",
        "select routine_name from information_schema.routines where routine_schema = '%s';" % (schemaname,),
        verbose
    )
    for row in rows:
        name = row[0]
        Function(schema, name)

    return schema
Пример #7
0
def dumpSchema(txn, title, schemaname="public"):
    """
    Generate the L{Schema}.
    """

    schemaname = schemaname.lower()

    schema = Schema(title)

    # Sequences
    seqs = {}
    rows = yield txn.execSQL(
        "select sequence_name from information_schema.sequences where sequence_schema = '%s';"
        % (schemaname, ))
    for row in rows:
        name = row[0]
        seqs[name.upper()] = Sequence(schema, name.upper())

    # Tables
    tables = {}
    rows = yield txn.execSQL(
        "select table_name from information_schema.tables where table_schema = '%s';"
        % (schemaname, ))
    for row in rows:
        name = row[0]
        table = Table(schema, name.upper())
        tables[name.upper()] = table

        # Columns
        rows = yield txn.execSQL(
            "select column_name, data_type, character_maximum_length, column_default from information_schema.columns where table_schema = '%s' and table_name = '%s';"
            % (
                schemaname,
                name,
            ))
        for name, datatype, charlen, default in rows:
            # TODO: figure out the type
            column = Column(
                table, name.upper(),
                SQLType(DTYPE_MAP.get(datatype, datatype), charlen))
            table.columns.append(column)
            if default:
                if default.startswith("nextval("):
                    dname = default.split("'")[1].split(".")[-1]
                    column.default = seqs[dname.upper()]
                elif default in DEFAULTVALUE_MAP:
                    column.default = DEFAULTVALUE_MAP[default]
                else:
                    try:
                        column.default = int(default)
                    except ValueError:
                        column.default = default

    # Key columns
    keys = {}
    rows = yield txn.execSQL(
        "select constraint_name, table_name, column_name from information_schema.key_column_usage where constraint_schema = '%s';"
        % (schemaname, ))
    for conname, tname, cname in rows:
        keys[conname] = (tname, cname)

    # Constraints
    constraints = {}
    rows = yield txn.execSQL(
        "select constraint_name, table_name, column_name from information_schema.constraint_column_usage where constraint_schema = '%s';"
        % (schemaname, ))
    for conname, tname, cname in rows:
        constraints[conname] = (tname, cname)

    # References - referential_constraints
    rows = yield txn.execSQL(
        "select constraint_name, unique_constraint_name, delete_rule from information_schema.referential_constraints where constraint_schema = '%s';"
        % (schemaname, ))
    for conname, uconname, delete in rows:
        table = tables[keys[conname][0].upper()]
        column = table.columnNamed(keys[conname][1].upper())
        column.doesReferenceName(constraints[uconname][0].upper())
        if delete != "NO ACTION":
            column.deleteAction = delete.lower()

    # Indexes
    # TODO: handle implicit indexes created via primary key() and unique() statements within CREATE TABLE
    rows = yield txn.execSQL(
        "select indexdef from pg_indexes where schemaname = '%s';" %
        (schemaname, ))
    for indexdef in rows:
        addSQLToSchema(schema, indexdef[0].replace("%s." % (schemaname, ),
                                                   "").upper())

    # Functions
    rows = yield txn.execSQL(
        "select routine_name from information_schema.routines where routine_schema = '%s';"
        % (schemaname, ))
    for row in rows:
        name = row[0]
        Function(schema, name)

    returnValue(schema)
Пример #8
0
def dumpSchema_postgres(txn, title, schemaname="public"):
    """
    Generate the L{Schema}.
    """

    schemaname = schemaname.lower()

    schema = Schema(title)

    # Sequences
    seqs = {}
    rows = yield txn.execSQL(
        "select sequence_name from information_schema.sequences where sequence_schema = '%s';" % (schemaname,)
    )
    for row in rows:
        name = row[0]
        seqs[name.upper()] = Sequence(schema, name.upper())

    # Tables
    tables = {}
    rows = yield txn.execSQL(
        "select table_name from information_schema.tables where table_schema = '%s';" % (schemaname,)
    )
    for row in rows:
        name = row[0]
        table = Table(schema, name.upper())
        tables[name.upper()] = table

        # Columns
        rows = yield txn.execSQL(
            "select column_name, data_type, is_nullable, character_maximum_length, column_default from information_schema.columns where table_schema = '%s' and table_name = '%s';"
            % (schemaname, name)
        )
        for name, datatype, is_nullable, charlen, default in rows:
            # TODO: figure out the type
            column = Column(table, name.upper(), SQLType(DTYPE_MAP_POSTGRES.get(datatype, datatype), charlen))
            table.columns.append(column)
            if default:
                if default.startswith("nextval("):
                    dname = default.split("'")[1].split(".")[-1]
                    column.default = seqs[dname.upper()]
                elif default in DEFAULTVALUE_MAP_POSTGRES:
                    column.default = DEFAULTVALUE_MAP_POSTGRES[default]
                else:
                    try:
                        column.default = int(default)
                    except ValueError:
                        column.default = default
            if is_nullable == "NO":
                table.tableConstraint(Constraint.NOT_NULL, [column.name])

    # Key columns
    keys = {}
    rows = yield txn.execSQL(
        "select constraint_name, table_name, column_name from information_schema.key_column_usage where constraint_schema = '%s';"
        % (schemaname,)
    )
    for conname, tname, cname in rows:
        keys[conname] = (tname, cname)

    # Constraints
    constraints = {}
    rows = yield txn.execSQL(
        "select constraint_name, table_name, column_name from information_schema.constraint_column_usage where constraint_schema = '%s';"
        % (schemaname,)
    )
    for conname, tname, cname in rows:
        constraints[conname] = (tname, cname)

    # References - referential_constraints
    rows = yield txn.execSQL(
        "select constraint_name, unique_constraint_name, delete_rule from information_schema.referential_constraints where constraint_schema = '%s';"
        % (schemaname,)
    )
    for conname, uconname, delete in rows:
        table = tables[keys[conname][0].upper()]
        column = table.columnNamed(keys[conname][1].upper())
        column.doesReferenceName(constraints[uconname][0].upper())
        if delete != "NO ACTION":
            column.deleteAction = delete.lower()

    # Indexes
    # TODO: handle implicit indexes created via primary key() and unique() statements within CREATE TABLE
    rows = yield txn.execSQL("select indexdef from pg_indexes where schemaname = '%s';" % (schemaname,))
    for indexdef in rows:
        addSQLToSchema(schema, indexdef[0].replace("%s." % (schemaname,), "").upper())

    # Functions
    rows = yield txn.execSQL(
        "select routine_name from information_schema.routines where routine_schema = '%s';" % (schemaname,)
    )
    for row in rows:
        name = row[0]
        Function(schema, name)

    returnValue(schema)