Logical Types

The following list represent the avro logical types mapped to python types:

Avro Type	Logical Type	Python Type
int	date	datetime.date
int	time-millis	datetime.time
long	time-micros	types.TimeMicro
long	timestamp-millis	datetime.datetime
long	timestamp-micros	types.DateTimeMicro
string	uuid	uuid.uuid4
string	uuid	uuid.UUID
bytes	decimal	types.condecimal

Date

Date example

import datetime
import dataclasses
import typing

from dataclasses_avroschema import AvroModel

a_datetime = datetime.datetime(2019, 10, 12, 17, 57, 42)


@dataclasses.dataclass
class DateLogicalType(AvroModel):
    "Date type"
    birthday: datetime.date
    meeting_date: typing.Optional[datetime.date] = None
    release_datetime: datetime.date = a_datetime.date()


DateLogicalType.avro_schema()

'{
  "type": "record",
  "name": "DateLogicalType",
  "fields": [
    {
      "name": "birthday",
      "type": {"type": "int", "logicalType": "date"}},
    {
      "name": "meeting_date",
      "type": ["null", {"type": "int", "logicalType": "date"}],
      "default": null
    },
    {
      "name": "release_datetime",
      "type": {"type": "int", "logicalType": "date"},
      "default": 18181
    }
  ],
  "doc": "Date type"
}'

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Time

Time example

import datetime
import dataclasses
import typing

from dataclasses_avroschema import AvroModel, TimeMicro

a_datetime = datetime.datetime(2019, 10, 12, 17, 57, 42)


@dataclasses.dataclass
class TimeLogicalTypes(AvroModel):
    "Time logical types"
    birthday_time: datetime.time
    meeting_time: typing.Optional[datetime.time] = None
    release_time: datetime.time = a_datetime.time()
    release_time_micro: TimeMicro = a_datetime.time()

TimeLogicalTypes.avro_schema()

'{
  "type": "record",
  "name": "TimeLogicalTypes",
  "fields": [
    {
      "name": "birthday_time",
      "type": {"type": "int", "logicalType": "time-millis"}
    },
    {
      "name": "meeting_time",
      "type": ["null", {"type": "int", "logicalType": "time-millis"}],
      "default": null
    },
    {
      "name": "release_time",
      "type": {"type": "int", "logicalType": "time-millis"},
      "default": 64662000
    },
    {
      "name": "release_time_micro",
      "type": {"type": "long", "logicalType": "time-micros"},
      "default": 64662000000
    }
  ],
  "doc": "Time logical types"
}'

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To use time-micros in avro schemas you need to use types.TimeMicro

Datetime

DateTime example

import datetime
import dataclasses
import typing

from dataclasses_avroschema import AvroModel, DateTimeMicro

a_datetime = datetime.datetime(2019, 10, 12, 17, 57, 42)


@dataclasses.dataclass
class DatetimeLogicalType(AvroModel):
    "Datetime logical types"
    birthday: datetime.datetime
    meeting_time: typing.Optional[datetime.datetime] = None
    release_datetime: datetime.datetime = a_datetime
    release_datetime_micro: DateTimeMicro = a_datetime

DatetimeLogicalType.avro_schema()

'{
  "type": "record",
  "name": "DatetimeLogicalType",
  "fields": [
    {
      "name": "birthday",
      "type": {"type": "long", "logicalType": "timestamp-millis"}
    },
    {
      "name": "meeting_time",
      "type": ["nul", {"type": "long", "logicalType": "timestamp-millis"}],
      "default": null
    },
    {
      "name": "release_datetime",
      "type": {"type": "long", "logicalType": "timestamp-millis"},
      "default": 1570903062000
    },
    {
      "name": "release_datetime_micro",
      "type": {"type": "long", "logicalType": "timestamp-micros"},
      "default": 1570903062000000
    }
  ],
  "doc": "Datetime logical types"
}'

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Note

To use timestamp-micros in avro schemas you need to use types.DateTimeMicro

UUID

UUID example

import uuid
import dataclasses
import typing

from dataclasses_avroschema import AvroModel


@dataclasses.dataclass
class UUIDLogicalTypes(AvroModel):
    "UUID logical types"
    uuid_1: uuid.uuid4
    uuid_2: typing.Optional[uuid.uuid4] = None
    event_uuid: uuid.uuid4 = uuid.uuid4()

UUIDLogicalTypes.avro_schema()

'{
  "type": "record",
  "name": "UUIDLogicalTypes",
  "fields": [
    {
      "name": "uuid_1",
      "type": {"type": "string", "logicalType": "uuid"}
    },
    {
      "name": "uuid_2",
      "type": ["null", {"type": "string", "logicalType": "uuid"}],
      "default": null
    },
    {
      "name": "event_uuid",
      "type": {"type": "string", "logicalType": "uuid"},
      "default": "ad0677ab-bd1c-4383-9d45-e46c56bcc5c9"
    }
  ],
  "doc": "UUID logical types"
}'

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Decimal

Decimal types in avro must specify two required attributes: precision and scale. Precision represents the amount of digits and scale the amount of decimal places. Because with the python type decimal.Decimal is not possible to supply the required arguments, dataclasses-avroschema provides a funtion to create the decimals. The function types.condecimal annotates the decimal.Decimal type and it adds the required attibutes.

Arguments to condecimal

The following arguments are available when using the condecimal type function

• max_digits (int): total number digits
• decimal_places (int): total decimal places

Decimal example

import decimal
import dataclasses
import typing

from dataclasses_avroschema import AvroModel, types


@dataclasses.dataclass
class DecimalLogicalTypes(AvroModel):
    "Decimal logical types"
    money: types.condecimal(max_digits=3, decimal_places=2)
    decimal_with_default: types.condecimal(max_digits=3, decimal_places=2) = decimal.Decimal('3.14')
    optional_decimal: typing.Optional[types.condecimal(max_digits=3, decimal_places=2)] = None

DecimalLogicalTypes.avro_schema()

'{
  "type": "record",
  "name": "DecimalLogicalTypes",
  "fields": [
    {
      "name": "money",
      "type": {
        "type": "bytes",
        "logicalType": "decimal",
        "precision": 3,
        "scale": 2
      }
    },
    {
      "name": "decimal_with_default",
      "type": {
        "type": "bytes",
        "logicalType": "decimal",
        "precision": 3,
        "scale": 2
      },
      "default": "\\u013a"
    },
    {
      "name": "optional_decimal",
      "type": [
        "null",
        {
          "type": "bytes",
          "logicalType": "decimal",
          "precision": 3,
          "scale": 2
        }
      ]
      "default": "null"
    }
  ],
  "doc": "Decimal logical types"
}'

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