Add profile events support

[kozzztik]

• fixes Query execution statistics add memory_usage #451

Adds support of profile events on native protocol. There are many different parameters inside like network timings, locks, memory usage, that may be very helpful for debug and monitoring queries.

Not sure is it needed to update docs.

Checklist:

• Add tests that demonstrate the correct behavior of the change. Tests should fail without the change.
• Add or update relevant docs, in the docs folder and in code.
• Ensure PR doesn't contain untouched code reformatting: spaces, etc.
• Run flake8 and fix issues.
• Run pytest no tests failed. See https://clickhouse-driver.readthedocs.io/en/latest/development.html.

[xzkostyan]

Currently we have 'static' attributes that stores statistics: https://clickhouse-driver.readthedocs.io/en/latest/features.html#query-execution-statistics: client.last_query.progress.total_rows, client.last_query.progress.total_bytes, etc.

I'd prefer to store statistics in the same way if it's possible: client.last_query.stats.select_query, client.last_query.stats.selected_rows.

[kozzztik]

I use content of this data for analyzing queries, and they may be very different. Metrics here vary on query type and even queried table engine. I guess server version may have effect too (I use only v.23 at this moment). So, finally, that is not stable list of metrics. And number of options too big (may be >100 finally).
I found that ~20 of them most common for queries and most intersting. I use pydantic model to get them:

class ClickhouseStats(pydantic.BaseModel):
    elapsed: int = pydantic.Field(alias="elapsed")
    is_insert: int | None = pydantic.Field(alias="InsertQuery", default=None)
    read_bytes: int | None = pydantic.Field(alias="ReadCompressedBytes", default=None)
    write_bytes: int | None = pydantic.Field(alias="WriteBufferFromFileDescriptorWriteBytes", default=None)
    network_recv_bytes: int | None = pydantic.Field(alias="NetworkReceiveBytes", default=None)
    network_recv_time: int | None = pydantic.Field(alias="NetworkReceiveElapsedMicroseconds", default=None)
    network_send_bytes: int | None = pydantic.Field(alias="NetworkSendBytes", default=None)
    network_send_time: int | None = pydantic.Field(alias="NetworkSendElapsedMicroseconds", default=None)
    memory_usage: int | None = pydantic.Field(alias="MemoryTrackerUsage", default=None)
    memory_peak: int | None = pydantic.Field(alias="MemoryTrackerPeakUsage", default=None)
    file_open: int | None = pydantic.Field(alias="FileOpen", default=None)
    function_execute: int | None = pydantic.Field(alias="FunctionExecute", default=None)
    write_time: int | None = pydantic.Field(alias="DiskWriteElapsedMicroseconds", default=None)
    insert_rows: int | None = pydantic.Field(alias="InsertedRows", default=None)
    insert_bytes: int | None = pydantic.Field(alias="InsertedBytes", default=None)
    select_rows: int | None = pydantic.Field(alias="SelectedRows", default=None)
    select_bytes: int | None = pydantic.Field(alias="SelectedBytes", default=None)
    insert_parts: int | None = pydantic.Field(alias="InsertedCompactParts", default=None)
    real_time: int | None = pydantic.Field(alias="RealTimeMicroseconds", default=None)
    system_time: int | None = pydantic.Field(alias="SystemTimeMicroseconds", default=None)

    def __init__(self, result: CursorResult | None = None, query_info: QueryInfo | None = None):
        if query_info is None:
            query_info: QueryInfo = result.context.query_info
        super().__init__(elapsed=int(query_info.elapsed * 1000), **(query_info.stats or {}))  # TODO: 1000?

I can add them here(without pydantic), but wouldn't that be too much?

[xzkostyan]

Yep. It's too much. Dict will be fine.