Generated by Cython 0.29.28
Yellow lines hint at Python interaction.
Click on a line that starts with a "+" to see the C code that Cython generated for it.
Raw output: ilp.c
+001: ################################################################################
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002: ## ___ _ ____ ____
003: ## / _ \ _ _ ___ ___| |_| _ \| __ )
004: ## | | | | | | |/ _ \/ __| __| | | | _ \
005: ## | |_| | |_| | __/\__ \ |_| |_| | |_) |
006: ## \__\_\\__,_|\___||___/\__|____/|____/
007: ##
008: ## Copyright (c) 2014-2019 Appsicle
009: ## Copyright (c) 2019-2022 QuestDB
010: ##
011: ## Licensed under the Apache License, Version 2.0 (the "License");
012: ## you may not use this file except in compliance with the License.
013: ## You may obtain a copy of the License at
014: ##
015: ## http://www.apache.org/licenses/LICENSE-2.0
016: ##
017: ## Unless required by applicable law or agreed to in writing, software
018: ## distributed under the License is distributed on an "AS IS" BASIS,
019: ## WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
020: ## See the License for the specific language governing permissions and
021: ## limitations under the License.
022: ##
023: ################################################################################
024:
025: # distutils: language=c
026: # cython: language_level=3
027:
028: from libc.stdint cimport uint8_t, int64_t
029: from cpython.datetime cimport datetime
030: from cpython.bool cimport bool, PyBool_Check
031:
032: from .line_sender cimport *
033:
034: cdef extern from "Python.h":
035: ctypedef uint8_t Py_UCS1 # unicodeobject.h
036:
037: ctypedef unsigned int uint
038:
039: cdef enum PyUnicode_Kind:
040: PyUnicode_1BYTE_KIND
041: PyUnicode_2BYTE_KIND
042: PyUnicode_4BYTE_KIND
043:
044: object PyUnicode_FromKindAndData(
045: int kind, const void* buffer, Py_ssize_t size)
046:
047: str PyUnicode_FromStringAndSize(
048: const char* u, Py_ssize_t size)
049:
050: # Must be called before accessing data or is compact check.
051: int PyUnicode_READY(object o) except -1
052:
053: # Is UCS1 and ascii (and therefore valid UTF-8).
054: bint PyUnicode_IS_COMPACT_ASCII(object o)
055:
056: # Get length.
057: Py_ssize_t PyUnicode_GET_LENGTH(object o)
058:
059: # Zero-copy access to buffer.
060: Py_UCS1* PyUnicode_1BYTE_DATA(object o)
061:
062: Py_ssize_t PyBytes_GET_SIZE(object o)
063:
064: char* PyBytes_AsString(object o)
065:
066:
+067: from enum import Enum
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+068: from typing import List, Tuple, Dict, Union, Any, Optional, Callable
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+069: from collections.abc import Iterable
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070:
+071: import sys
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072:
+073: class IlpErrorCode(Enum):
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074: """Category of Error."""
+075: CouldNotResolveAddr = line_sender_error_could_not_resolve_addr
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087:
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089: """
090: An error whilst using the line sender or constructing its buffer.
091: """
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int (*_rewind_to_marker)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *);
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int (*_table)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *, PyObject *);
int (*_symbol)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *, PyObject *, PyObject *);
int (*_column_bool)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *, struct line_sender_column_name, int);
int (*_column_i64)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *, struct line_sender_column_name, int);
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int (*_may_trigger_row_complete)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *);
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int (*_at_now)(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *);
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265: """
266: Construct QuestDB-flavored InfluxDB Line Protocol (ILP) messages.
267:
268: .. code-block:: python
269:
270: from questdb.ilp import LineSenderBuffer
271:
272: buf = LineSenderBuffer()
273: buf.row(
274: 'table_name',
275: symbols={'s1', 'v1', 's2', 'v2'},
276: columns={'c1': True, 'c2': 0.5})
277:
278: # Append any additional rows then, once ready,
279: # call `sender.flush(buffer)` on a `LineSender` instance.
280:
281: Refer to the
282: `QuestDB documentation <https://questdb.io/docs/concept/symbol/>`_ to
283: understand the difference between the ``SYMBOL`` and ``STRING`` types
284: (TL;DR: symbols are interned strings).
285:
286: Appending data:
287: * The ``row`` method appends one row at a time.
288: * The ``tabular`` method appends multiple rows for a single table.
289:
290: Buffer inspection:
291: * For the number of bytes in the buffer, call ``len(buffer)``.
292: * To see the contents, call ``str(buffer)``.
293: """
294: cdef line_sender_buffer* _impl
295: cdef row_complete_cb _row_complete_cb
296: cdef void* _row_complete_ctx
297:
+298: def __cinit__(self, init_capacity: int = 65536, max_name_len: int = 127):
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299: """
300: Create a new buffer with the an initial capacity and max name length.
301: :param int init_capacity: Initial capacity of the buffer in bytes.
302: :param int max_name_len: Maximum length of a table or column name.
303: """
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318:
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335:
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338: """
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342: """
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429: self._impl, c_name, datetime_to_micros(dt), &err):
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static CYTHON_INLINE int __pyx_f_7questdb_3ilp_16LineSenderBuffer__may_trigger_row_complete(struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *__pyx_v_self) {
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531: self,
532: table_name: str,
533: *,
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535: columns: Optional[dict[
536: str,
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539: """
540: Add a single row (line) to the buffer.
541:
542: At least one ``symbols`` or ``columns`` must be specified.
543:
544: .. code-block:: python
545:
546: # All fields specified.
547: buffer.row(
548: 'table_name',
549: symbols={'sym1': 'abc', 'sym2': 'def'},
550: columns={
551: 'col1': True,
552: 'col2': 123,
553: 'col3': 3.14,
554: 'col4': 'xyz',
555: 'col5': TimestampMicros(123456789),
556: 'col6': datetime(2019, 1, 1, 12, 0, 0)},
557: at=TimestampNanos(123456789))
558:
559: # Only symbols specified. Designated timestamp assigned by the db.
560: buffer.row(
561: 'table_name',
562: symbols={'sym1': 'abc', 'sym2': 'def'})
563:
564: # Float columns and timestamp specified as `datetime.datetime`.
565: # Pay special attention to the timezone, which if unspecified is
566: # assumed to be the local timezone (and not UTC).
567: buffer.row(
568: 'sensor data',
569: columns={
570: 'temperature': 24.5,
571: 'humidity': 0.5},
572: at=datetime.datetime.utcnow())
573:
574: :param table_name: The name of the table to which the row belongs.
575: :param symbols: A dictionary of symbol column names to ``str`` values.
576: :param columns: A dictionary of column names to ``bool``, ``int``,
577: ``float``, ``str``, ``TimestampMicros`` or ``datetime`` values.
578: :param at: The timestamp of the row. If ``None``, timestamp is assigned
579: by the server. If ``datetime``, the timestamp is converted to
580: nanoseconds. A nanosecond unix epoch timestamp can be passed
581: explicitly as a ``TimestampNanos`` object.
582: """
+583: self._row(table_name, symbols, columns, at)
if (!(likely(PyDict_CheckExact(__pyx_v_symbols))||((__pyx_v_symbols) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "dict", Py_TYPE(__pyx_v_symbols)->tp_name), 0))) __PYX_ERR(0, 583, __pyx_L1_error) if (!(likely(PyDict_CheckExact(__pyx_v_columns))||((__pyx_v_columns) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "dict", Py_TYPE(__pyx_v_columns)->tp_name), 0))) __PYX_ERR(0, 583, __pyx_L1_error) __pyx_t_2.__pyx_n = 3; __pyx_t_2.symbols = ((PyObject*)__pyx_v_symbols); __pyx_t_2.columns = ((PyObject*)__pyx_v_columns); __pyx_t_2.at = __pyx_v_at; __pyx_t_1 = ((struct __pyx_vtabstruct_7questdb_3ilp_LineSenderBuffer *)__pyx_v_self->__pyx_vtab)->_row(__pyx_v_self, __pyx_v_table_name, &__pyx_t_2); if (unlikely(__pyx_t_1 == ((int)-1))) __PYX_ERR(0, 583, __pyx_L1_error)
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585:
+586: def tabular(
/* Python wrapper */
static PyObject *__pyx_pw_7questdb_3ilp_16LineSenderBuffer_17tabular(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_7questdb_3ilp_16LineSenderBuffer_16tabular[] = "\n Add multiple rows as an iterable of iterables (e.g. list of lists) to\n the buffer.\n\n **Data and header**\n\n The ``data`` argument specifies rows which must all be for the same\n table. Column names are provided as the ``header``.\n\n .. code-block:: python\n\n buffer.tabular(\n 'table_name',\n [[True, 123, 3.14, 'xyz'],\n [False, 456, 6.28, 'abc'],\n [True, 789, 9.87, 'def']],\n header=['col1', 'col2', 'col3', 'col4'])\n\n **Designated Timestamp Column**\n\n QuestDB supports a special `designated timestamp\n <https://questdb.io/docs/concept/designated-timestamp/>`_ column that it\n uses to sort the rows by timestamp.\n\n If the data section contains the same number of columns as the header,\n then the designated is going to be\n assigned by the server, unless specified for all columns the `at`\n argument as either an integer wrapped in a ``TimestampNanos`` object\n representing nanoseconds since unix epoch (1970-01-01 00:00:00 UTC) or\n as a ``datetime.datetime`` object.\n\n .. code-block:: python\n\n buffer.tabular(\n 'table_name',\n [[True, 123, 3.14, 'xyz'],\n [False, 456, 6.28, 'abc'],\n [True, 789, 9.87, 'def']],\n header=['col1', 'col2', 'col3', 'col4'],\n at=datetime.datetime.utcnow())\n\n # or ...\n # at=TimestampNanos(1657386397157631000))\n\n If the rows need different `designated timestamp\n <https://questdb.io/docs/concept/designated-timestamp/>`_ values across\n different rows, you can provide them as an additional unlabeled column.\n An unlabled column is one that has its name set to ``None``.\n\n .. code-block:: python\n\n ts1 = datetime.datetime.utcnow()\n "" ts2 = (\n datetime.datetime.utcnow() +\n datetime.timedelta(microseconds=1))\n buffer.tabular(\n 'table_name',\n [[True, 123, ts1],\n [False, 456, ts2]],\n header=['col1', 'col2', None])\n\n Like the ``at`` argument, the designated timestamp column may also be\n specified as ``TimestampNanos`` objects.\n\n .. code-block:: python\n\n buffer.tabular(\n 'table_name',\n [[True, 123, TimestampNanos(1657386397157630000)],\n [False, 456, TimestampNanos(1657386397157631000)]],\n header=['col1', 'col2', None])\n\n The designated timestamp column may appear anywhere positionally.\n\n .. code-block:: python\n\n ts1 = datetime.datetime.utcnow()\n ts2 = (\n datetime.datetime.utcnow() +\n datetime.timedelta(microseconds=1))\n buffer.tabular(\n 'table_name',\n [[1000, ts1, 123],\n [2000, ts2, 456]],\n header=['col1', None, 'col2'])\n\n **Other timestamp columns**\n\n Other columns may also contain timestamps. These columns can take\n ``datetime.datetime`` objects or ``TimestampMicros`` (*not nanos*)\n objects.\n\n .. code-block:: python\n\n ts1 = datetime.datetime.utcnow()\n ts2 = (\n datetime.datetime.utcnow() +\n datetime.timedelta(microseconds=1))\n buffer.tabular(\n 'table_name',\n [[1000, ts1, 123],\n [2000, ts2, 456]],\n header=['col1', 'col2', 'col3'],\n at=datetime.datetime.utcnow())\n\n **Symbol Columns**\n\n QuestDB can represent strings via the ``STRING`` or ``SYMBOL`` types.\n\n If all the columns of type ``str`` are to be treated as ``STRING``, th""en\n specify ``symbols=False`` (default - see exaples above).\n\n If all need to be treated as ``SYMBOL`` specify ``symbols=True``.\n\n .. code-block:: python\n\n buffer.tabular(\n 'table_name',\n [['abc', 123, 3.14, 'xyz'],\n ['def', 456, 6.28, 'abc'],\n ['ghi', 789, 9.87, 'def']],\n header=['col1', 'col2', 'col3', 'col4'],\n symbols=True) # `col1` and `col4` are SYMBOL columns.\n\n Whilst if only a select few are to be treated as ``SYMBOL``, specify a\n list of column indices to the ``symbols`` arg.\n\n .. code-block:: python\n\n buffer.tabular(\n 'table_name',\n [['abc', 123, 3.14, 'xyz'],\n ['def', 456, 6.28, 'abc'],\n ['ghi', 789, 9.87, 'def']],\n header=['col1', 'col2', 'col3', 'col4'],\n symbols=[0]) # `col1` is SYMBOL; 'col4' is STRING.\n\n Note that column indices are 0-based and negative indices are counted\n from the end.\n ";
static PyObject *__pyx_pw_7questdb_3ilp_16LineSenderBuffer_17tabular(PyObject *__pyx_v_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
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/* … */
/* function exit code */
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587: self,
588: table_name: str,
589: data: Iterable[Iterable[Union[
590: bool, int, float, str,
591: TimestampMicros, TimestampNanos, datetime]]],
592: *,
+593: header: Optional[List[Optional[str]]]=None,
values[2] = ((PyObject *)Py_None);
+594: symbols: Union[bool, List[int]]=False,
values[3] = ((PyObject *)Py_False);
+595: at: Union[None, TimestampNanos, datetime]=None):
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596: """
597: Add multiple rows as an iterable of iterables (e.g. list of lists) to
598: the buffer.
599:
600: **Data and header**
601:
602: The ``data`` argument specifies rows which must all be for the same
603: table. Column names are provided as the ``header``.
604:
605: .. code-block:: python
606:
607: buffer.tabular(
608: 'table_name',
609: [[True, 123, 3.14, 'xyz'],
610: [False, 456, 6.28, 'abc'],
611: [True, 789, 9.87, 'def']],
612: header=['col1', 'col2', 'col3', 'col4'])
613:
614: **Designated Timestamp Column**
615:
616: QuestDB supports a special `designated timestamp
617: <https://questdb.io/docs/concept/designated-timestamp/>`_ column that it
618: uses to sort the rows by timestamp.
619:
620: If the data section contains the same number of columns as the header,
621: then the designated is going to be
622: assigned by the server, unless specified for all columns the `at`
623: argument as either an integer wrapped in a ``TimestampNanos`` object
624: representing nanoseconds since unix epoch (1970-01-01 00:00:00 UTC) or
625: as a ``datetime.datetime`` object.
626:
627: .. code-block:: python
628:
629: buffer.tabular(
630: 'table_name',
631: [[True, 123, 3.14, 'xyz'],
632: [False, 456, 6.28, 'abc'],
633: [True, 789, 9.87, 'def']],
634: header=['col1', 'col2', 'col3', 'col4'],
635: at=datetime.datetime.utcnow())
636:
637: # or ...
638: # at=TimestampNanos(1657386397157631000))
639:
640: If the rows need different `designated timestamp
641: <https://questdb.io/docs/concept/designated-timestamp/>`_ values across
642: different rows, you can provide them as an additional unlabeled column.
643: An unlabled column is one that has its name set to ``None``.
644:
645: .. code-block:: python
646:
647: ts1 = datetime.datetime.utcnow()
648: ts2 = (
649: datetime.datetime.utcnow() +
650: datetime.timedelta(microseconds=1))
651: buffer.tabular(
652: 'table_name',
653: [[True, 123, ts1],
654: [False, 456, ts2]],
655: header=['col1', 'col2', None])
656:
657: Like the ``at`` argument, the designated timestamp column may also be
658: specified as ``TimestampNanos`` objects.
659:
660: .. code-block:: python
661:
662: buffer.tabular(
663: 'table_name',
664: [[True, 123, TimestampNanos(1657386397157630000)],
665: [False, 456, TimestampNanos(1657386397157631000)]],
666: header=['col1', 'col2', None])
667:
668: The designated timestamp column may appear anywhere positionally.
669:
670: .. code-block:: python
671:
672: ts1 = datetime.datetime.utcnow()
673: ts2 = (
674: datetime.datetime.utcnow() +
675: datetime.timedelta(microseconds=1))
676: buffer.tabular(
677: 'table_name',
678: [[1000, ts1, 123],
679: [2000, ts2, 456]],
680: header=['col1', None, 'col2'])
681:
682: **Other timestamp columns**
683:
684: Other columns may also contain timestamps. These columns can take
685: ``datetime.datetime`` objects or ``TimestampMicros`` (*not nanos*)
686: objects.
687:
688: .. code-block:: python
689:
690: ts1 = datetime.datetime.utcnow()
691: ts2 = (
692: datetime.datetime.utcnow() +
693: datetime.timedelta(microseconds=1))
694: buffer.tabular(
695: 'table_name',
696: [[1000, ts1, 123],
697: [2000, ts2, 456]],
698: header=['col1', 'col2', 'col3'],
699: at=datetime.datetime.utcnow())
700:
701: **Symbol Columns**
702:
703: QuestDB can represent strings via the ``STRING`` or ``SYMBOL`` types.
704:
705: If all the columns of type ``str`` are to be treated as ``STRING``, then
706: specify ``symbols=False`` (default - see exaples above).
707:
708: If all need to be treated as ``SYMBOL`` specify ``symbols=True``.
709:
710: .. code-block:: python
711:
712: buffer.tabular(
713: 'table_name',
714: [['abc', 123, 3.14, 'xyz'],
715: ['def', 456, 6.28, 'abc'],
716: ['ghi', 789, 9.87, 'def']],
717: header=['col1', 'col2', 'col3', 'col4'],
718: symbols=True) # `col1` and `col4` are SYMBOL columns.
719:
720: Whilst if only a select few are to be treated as ``SYMBOL``, specify a
721: list of column indices to the ``symbols`` arg.
722:
723: .. code-block:: python
724:
725: buffer.tabular(
726: 'table_name',
727: [['abc', 123, 3.14, 'xyz'],
728: ['def', 456, 6.28, 'abc'],
729: ['ghi', 789, 9.87, 'def']],
730: header=['col1', 'col2', 'col3', 'col4'],
731: symbols=[0]) # `col1` is SYMBOL; 'col4' is STRING.
732:
733: Note that column indices are 0-based and negative indices are counted
734: from the end.
735: """
+736: raise ValueError('nyi')
__pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__11, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 736, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __PYX_ERR(0, 736, __pyx_L1_error) /* … */ __pyx_tuple__11 = PyTuple_Pack(1, __pyx_n_u_nyi); if (unlikely(!__pyx_tuple__11)) __PYX_ERR(0, 736, __pyx_L1_error) __Pyx_GOTREF(__pyx_tuple__11); __Pyx_GIVEREF(__pyx_tuple__11);
737:
738: # def pandas(
739: # self,
740: # table_name: str,
741: # data: pd.DataFrame,
742: # *,
743: # symbols: Union[bool, List[int]]=False,
744: # at: Union[None, TimestampNanos, datetime]=None):
745: # """
746: # Add a pandas DataFrame to the buffer.
747: # """
748: # raise ValueError('nyi')
749:
750:
+751: cdef class LineSender:
struct __pyx_obj_7questdb_3ilp_LineSender {
PyObject_HEAD
struct __pyx_vtabstruct_7questdb_3ilp_LineSender *__pyx_vtab;
struct line_sender_opts *_opts;
struct line_sender *_impl;
struct __pyx_obj_7questdb_3ilp_LineSenderBuffer *_buffer;
};
/* … */
struct __pyx_vtabstruct_7questdb_3ilp_LineSender {
PyObject *(*flush)(struct __pyx_obj_7questdb_3ilp_LineSender *, struct __pyx_opt_args_7questdb_3ilp_10LineSender_flush *__pyx_optional_args);
PyObject *(*close)(struct __pyx_obj_7questdb_3ilp_LineSender *, int __pyx_skip_dispatch, struct __pyx_opt_args_7questdb_3ilp_10LineSender_close *__pyx_optional_args);
};
static struct __pyx_vtabstruct_7questdb_3ilp_LineSender *__pyx_vtabptr_7questdb_3ilp_LineSender;
752: cdef line_sender_opts* _opts
753: cdef line_sender* _impl
754: cdef LineSenderBuffer _buffer
755:
+756: def __cinit__(self, str host, object port):
/* Python wrapper */
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