flink/flink-python/pyflink/common/__init__.py

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"""
Common classes used by both Flink DataStream API and Table API:

    - :class:`Configuration`:
      Lightweight configuration object which stores key/value pairs.
    - :class:`ExecutionConfig`:
      A config to define the behavior of the program execution.
    - :class:`ExecutionMode`:
      Specifies how a batch program is executed in terms of data exchange: pipelining or batched.
    - :class:`TypeInformation`:
      TypeInformation is the core class of Flink's type system. FLink requires a type information
      for all types that are used as input or return type of a user function.
    - :class:`Types`:
      Contains utilities to access the :class:`TypeInformation` of the most common types for which
      Flink has provided built-in implementation.
    - :class:`WatermarkStrategy`:
      Defines how to generate Watermarks in the stream sources.
    - :class:`Row`:
      A row is a fixed-length, null-aware composite type for storing multiple values in a
      deterministic field order.
    - :class:`SerializationSchema`:
      Base class to describes how to turn a data object into a different serialized representation.
      Most data sinks (for example Apache Kafka) require the data to be handed to them in a specific
      format (for example as byte strings). See :class:`JsonRowSerializationSchema`,
      :class:`JsonRowDeserializationSchema`, :class:`CsvRowSerializationSchema`,
      :class:`CsvRowDeserializationSchema`, :class:`AvroRowSerializationSchema`,
      :class:`AvroRowDeserializationSchema` and :class:`SimpleStringSchema` for more details.
"""
from pyflink.common.completable_future import CompletableFuture
from pyflink.common.config_options import ConfigOption, ConfigOptions
from pyflink.common.configuration import Configuration
from pyflink.common.execution_config import ExecutionConfig
from pyflink.common.execution_mode import ExecutionMode
from pyflink.common.input_dependency_constraint import InputDependencyConstraint
from pyflink.common.job_client import JobClient
from pyflink.common.job_execution_result import JobExecutionResult
from pyflink.common.job_id import JobID
from pyflink.common.job_status import JobStatus
from pyflink.common.restart_strategy import RestartStrategies, RestartStrategyConfiguration
from pyflink.common.serialization import SerializationSchema, DeserializationSchema, \
    SimpleStringSchema, JsonRowSerializationSchema, JsonRowDeserializationSchema, \
    CsvRowSerializationSchema, CsvRowDeserializationSchema, AvroRowSerializationSchema, \
    AvroRowDeserializationSchema, Encoder
from pyflink.common.serializer import TypeSerializer
from pyflink.common.typeinfo import Types, TypeInformation
from pyflink.common.types import Row, RowKind
from pyflink.common.time import Duration, Instant, Time
from pyflink.common.watermark_strategy import WatermarkStrategy, \
    AssignerWithPeriodicWatermarksWrapper

__all__ = [
    'Configuration',
    'ConfigOption',
    'ConfigOptions',
    'ExecutionConfig',
    "TypeInformation",
    "TypeSerializer",
    "Types",
    'SerializationSchema',
    'DeserializationSchema',
    'SimpleStringSchema',
    'JsonRowSerializationSchema',
    'JsonRowDeserializationSchema',
    'CsvRowSerializationSchema',
    'CsvRowDeserializationSchema',
    'AvroRowSerializationSchema',
    'AvroRowDeserializationSchema',
    'Encoder',
    'CompletableFuture',
    'ExecutionMode',
    'InputDependencyConstraint',
    'JobClient',
    'JobExecutionResult',
    'JobID',
    'JobStatus',
    'RestartStrategies',
    'RestartStrategyConfiguration',
    "Row",
    "RowKind",
    "WatermarkStrategy",
    "Duration",
    "Instant",
    "Time",
    "AssignerWithPeriodicWatermarksWrapper"
    ""
]