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read_gbq_timeseries_groupby
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| <!DOCTYPE html> | |
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| <title>Dask Performance Report</title> | |
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= _main(fd, parent_sentinel)\n","return self._bootstrap(parent_sentinel)\n","self.run()\n","self._target(*self._args, **self._kwargs)\n","target(*args, **kwargs)\n","loop.run_sync(run)\n","self.start()\n","self.asyncio_loop.run_forever()\n","self._run_once()\n","handle = None # Needed to break cycles when an exception occurs.\n","self = None # Needed to break cycles when an exception occurs.\n","self.heartbeat_active = False\n","return await retry(\n","return await coro()\n","return result\n","return response\n","return frames_nbytes_total\n","return future\n","future_set_result_unless_cancelled(future, None)\n","return self.socket.send(data) # type: ignore\n","frames_nbytes = await stream.read_bytes(fmt_size)\n","self._try_inline_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","function, args, kwargs = await self._maybe_deserialize_task(ts)\n","function, args, kwargs = _deserialize(*ts.runspec)\n","function = loads_function(function)\n","result = pickle.loads(bytes_object)\n","return pickle.loads(x)\n","","","","","","","","","from .core import read_gbq\n","","","","","","from dask.dataframe.core import new_dd_object\n","","","","","","","","","from . import backends, dispatch, rolling\n","","","","","","","","from .core import DataFrame, Index, Scalar, Series, _Frame\n","","","","","","from .. import array as da\n","","","","","","","","from . import backends, fft, lib, linalg, ma, overlap, random\n","","","","","","","","from .core import concatenate as _concatenate\n","","","","","","from fsspec import get_mapper\n","","","","","","eps = entry_points()\n","ordered = sorted(eps, key=by_group)\n","dist.entry_points for dist in distributions())\n","return EntryPoint._from_text(self.read_text('entry_points.txt'))\n","return self._path.joinpath(filename).read_text(encoding='utf-8')\n","with self.open(mode='r', encoding=encoding, errors=errors) as f:\n","return io.open(self, mode, buffering, encoding, errors, newline,\n","return self._accessor.open(self, flags, mode)\n","yield self.joinpath(child)\n","return os.listdir(self.root or '')\n","","","","","","","","","","","","","","","","","def _expand_paths(path, name_function, num):\n","","","","","","","","","","","","","","","from .wrap import empty, full, ones, zeros\n","","","","","","","","","","","","","def divmod(x, y):\n","return derived_from(source)(wrapped)\n","return method\n","return doc\n","return \"\\n\".join(lines)\n","(i, line)\n","return _compile(pattern, flags).match(string)\n","return _cache[type(pattern), pattern, flags]\n","","","","","","","","","","","","","","","def to_string(self, max_rows=5):\n","method.__doc__ = _derived_from(\n","return doc\n","return \"\\n\".join(lines)\n","(i, line)\n","return _compile(pattern, flags).match(string)\n","def resample(self, rule, closed=None, label=None):\n","method.__doc__ = _derived_from(\n","doc = unsupported_arguments(doc, not_supported)\n","subset = [\n","if re.match(r\"^\\s*\" + arg + \" ?:\", line)\n","return _compile(pattern, flags).match(string)\n","return _cache[type(pattern), pattern, flags]\n","def drop(self, labels=None, axis=0, columns=None, errors=\"raise\"):\n","method.__doc__ = _derived_from(\n","return doc\n","return \"\\n\".join([_skip_doctest(line) for line in doc.split(\"\\n\")])\n","return \"\\n\".join([_skip_doctest(line) for line in doc.split(\"\\n\")])\n","","","","","","","","","","","from google.api_core.gapic_v1 import config\n","","","","","","","","from google.api_core import retry\n","","","","","","","","","","","","","import requests.exceptions\n","","","","","","","","","from charset_normalizer import __version__ as charset_normalizer_version\n","","","","","","","","","","","","","","","","","from .connectionpool import HTTPConnectionPool, HTTPSConnectionPool, connection_from_url\n","","","","","","from .request import RequestMethods\n","","","","","","VerifiedHTTPSConnection = HTTPSConnection\n","","","","","","","","","__all__ = (\n","","","","","","def _ssl_wrap_socket_impl(sock, ssl_context, tls_in_tls, server_hostname=None):\n","","","","","","","","","","","","","","","","","","","","locals()[package] = __import__(package)\n","","","","","","from .core import *\n","","","","","","","","","","","","from .cookies import cookiejar_from_dict\n","","","","","","","","","","","","","","","","","","","","","","from grpc import aio # pylint: disable=ungrouped-imports\n","","","","","","","","from ._server import server\n","","","","","","","","","","","","","","","","from google.api_core import grpc_helpers\n","","","","","","","","import google.auth.transport.grpc\n","","","","","","from google.oauth2 import service_account\n","","","","","","","","","","","","","","","from google.auth import _service_account_info\n","","","","","","","","from google.auth import crypt\n","","","","","","","","from google.auth.crypt import rsa\n","","","","","","","","from google.auth.crypt import _cryptography_rsa\n","","","","","","","","_BACKEND = backends.default_backend()\n","from cryptography.hazmat.backends.openssl.backend import backend\n","","","","","","","","","from cryptography.hazmat.backends.openssl.backend import backend\n","","","","","","from cryptography.hazmat.backends.openssl.ocsp import (\n","","","","","","","","","","","","","","","","","","class BLAKE2s(HashAlgorithm):\n","","","","","","","","","from cryptography.hazmat.primitives.serialization.base import (\n","","","","","","","","","","","","","","","","","","","import pkg_resources\n","","","","","","__import__('pkg_resources.extern.packaging.specifiers')\n","","","","","","","","from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException\n","","","","","__import__(extant)\n","","","","","","","logger.warning(\n","class Specifier(_IndividualSpecifier):\n","def prereleases(self, value):\n","return _compile(pattern, flags)\n","return p\n","return _sre.compile(\n","return p\n","return items[0]\n","return subpattern\n","self.groupwidths[gid] = p.getwidth()\n","return self.width\n","return self.width\n","return self.width\n","return self.width\n","logger.warning(\n","","","","","","","","f(*args, **kwargs)\n","working_set = WorkingSet._build_master()\n","ws = cls()\n","self.add_entry(entry)\n","for dist in find_distributions(entry, True):\n","for dist in factory(fullpath):\n","if len(os.listdir(path)) == 0:\n","st = os.stat(s)\n","dist.activate(replace=False)\n","fixup_namespace_packages(self.location)\n","subpath = _handle_ns(package, path_item)\n","loader = importer.find_spec(packageName).loader\n","","","","","for dist in find_distributions(entry, True):\n","for dist in factory(fullpath):\n","if len(os.listdir(path)) == 0:\n","os.path.isdir(os.path.join(path_item, entry))\n","st = os.stat(s)\n","","","","","","","return mod\n","","","","","","","self, search_path=None, platform=get_supported_platform(),\n","plat = get_build_platform()\n","from sysconfig import get_platform\n","","","","","","","","from google.cloud.bigquery.client import Client\n","","","","","","from google.cloud.bigquery_storage_v1.services.big_query_read.client import (\n","","","","","","","","from_http_response = exceptions.from_http_response\n","","","","","","","import pyarrow.parquet\n","","","","","","from pyarrow.fs import (LocalFileSystem, FileSystem,\n","","","","","","","","","","","","","","","","","","","","","","","","","","","from google.cloud.bigquery_v2 import types\n","","","","","","__all__ = (\n","","","","","","","","","__all__ = (\n","","","","","","","","","","","","","","","","","","","","","from google.cloud.bigquery_storage_v1 import client\n","","","","","","","","from google.cloud.bigquery_storage_v1.services import big_query_read\n","","","","","","","","from .client import BigQueryReadClient\n","","","","","","from google.auth.transport import mtls # type: ignore\n","","","","","","","","","","","","","","","","","from .arrow import (\n","","","","","","import proto # type: ignore\n","","","","","","from .enums import Enum\n","","","","","","from proto import _file_info\n","","","","","","","","","","","","class _ArrowStreamParser(_StreamParser):\n","","","","","","","","return self.asyncio_loop.run_in_executor(executor, func, *args)\n","executor.submit(func, *args), loop=self)\n","self._adjust_thread_count()\n","t.start()\n","self._started.wait()\n","return signaled\n","return gotit\n","ret = callback()\n","return self.callback()\n","state = profile.process(\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","\"description\": info_frame(frame),\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","return lines\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","state = process(prev, frame, state, stop=stop)\n","\"description\": info_frame(frame),\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","with tokenize.open(fullname) as fp:\n","encoding, lines = detect_encoding(buffer.readline)\n","return default, [first]\n","return readline()\n","\"description\": info_frame(frame),\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","stat = os.stat(fullname)\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","lines = fp.readlines()\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","lines = fp.readlines()\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","stat = os.stat(fullname)\n","line = linecache.getline(co.co_filename, frame.f_lineno, frame.f_globals).lstrip()\n","lines = getlines(filename, module_globals)\n","return updatecache(filename, module_globals)\n","lines = fp.readlines()\n","buffer = _builtin_open(filename, 'rb')\n","return default, [first, second]\n","return readline()\n","handler_func(fileobj, events)\n","self._handle_read()\n","pos = self._read_to_buffer_loop()\n","if self._read_to_buffer() == 0:\n","bytes_read = self.read_from_fd(buf)\n","return self.socket.recv_into(buf, len(buf))\n","return core.get(self.dsk, self.outkey, dict(zip(self.inkeys, args)))\n","result = _execute_task(task, cache)\n","return func(*(_execute_task(a, cache) for a in args))\n","shards = _stream_to_dfs(bqs_client, stream_name, schema, read_kwargs)\n","return [\n","return [\n","for message in self._wrapped:\n","return six.next(self._wrapped)\n","return self._next()\n","_common.wait(self._state.condition.wait, _response_ready)\n","_wait_once(wait_fn, MAXIMUM_WAIT_TIMEOUT, spin_cb)\n","wait_fn(timeout=timeout)\n","columns = _deserialize_column_index(table, all_columns, column_indexes)\n","columns = _flatten_single_level_multiindex(columns)\n","if not index.is_unique:\n","return self._engine.is_unique\n","return func(*args, **kwargs)\n","op = _Concatenator(\n","self.new_axes = self._get_new_axes()\n","return [\n","self._get_concat_axis if i == self.bm_axis else self._get_comb_axis(i)\n","concat_axis = _concat_indexes(indexes)\n","return indexes[0].append(indexes[1:])\n","return self._concat(to_concat, name)\n","result = Int64Index(np.concatenate([x._values for x in rng_indexes]))\n","result = Int64Index(np.concatenate([x._values for x in rng_indexes]))\n","return self._data\n","new_data = concatenate_managers(\n","concat_plans = [\n","_get_mgr_concatenation_plan(mgr, indexers) for mgr, indexers in mgrs_indexers\n","blknos = mgr.blknos\n","self._rebuild_blknos_and_blklocs()\n","all(not ju.is_na or ju.block.is_extension for ju in join_units)\n","all(not ju.is_na or ju.block.is_extension for ju in join_units)\n","return isna_all(values_flat)\n","return all(\n","checker(arr[i : i + chunk_len]).all() # type: ignore[arg-type]\n","return func(g[columns], **kwargs)\n","return getattr(obj, self.method)(*args, **kwargs)\n","ids, _, ngroups = self.grouper.group_info\n","comp_ids, obs_group_ids = self._get_compressed_codes()\n","return ping.codes, np.arange(len(ping.group_index))\n","return self._codes_and_uniques[0]\n","codes, uniques = algorithms.factorize(\n","uniques, codes = safe_sort(\n","result = self._agg_general(\n","result = self._cython_agg_general(\n","result = array_func(objvals)\n","result = self.grouper._cython_operation(\n","ids, _, _ = self.group_info\n","comp_ids, obs_group_ids = self._get_compressed_codes()\n","return ping.codes, np.arange(len(ping.group_index))\n","return self._codes_and_uniques[0]\n","codes, uniques = algorithms.factorize(\n","codes, uniques = 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name)\n","result = Int64Index(np.concatenate([x._values for x in rng_indexes]))\n","result = Int64Index(np.concatenate([x._values for x in rng_indexes]))\n","return self._data\n","return get_objs_combined_axis(\n","return _get_combined_index(obs_idxes, intersect=intersect, sort=sort, copy=copy)\n","return index\n","return index\n","if not all(index.equals(other) for other in indexes[1:]):\n","return array_equivalent(self._values, other._values)\n","return _array_equivalent_object(left, right, strict_nan)\n","return _is_dtype(arr_or_dtype, condition)\n","return condition(dtype)\n","return dtype.kind in (\"O\", \"S\", \"U\") and not is_excluded_dtype(dtype)\n","return any(is_excluded(dtype) for is_excluded in is_excluded_checks)\n","return any(is_excluded(dtype) for is_excluded in is_excluded_checks)\n","return IntervalDtype.is_dtype(arr_or_dtype)\n","return func(g[columns], **kwargs)\n","return getattr(obj, self.method)(*args, **kwargs)\n","return self._reindex_output(result, 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<h1> Dask Performance Report </h1>\n\n <i> Select different tabs on the top for additional information </i>\n\n <h2> Duration: 37.17 s </h2>\n <h2> Tasks Information </h2>\n <ul>\n <li> number of tasks: 27 </li>\n \n<li> compute time: 114.16 s </li>\n<li> deserialize time: 1.14 s </li>\n<li> transfer time: 27.81 ms </li>\n </ul>\n\n <h2> Scheduler Information </h2>\n <ul>\n <li> Address: tcp://127.0.0.1:54554 </li>\n <li> Workers: 4 </li>\n <li> Threads: 8 </li>\n <li> Memory: 16.00 GiB </li>\n <li> Dask Version: 2021.08.0 </li>\n <li> Dask.Distributed Version: 2021.08.0 </li>\n </ul>\n\n <h2> Calling Code </h2>\n <pre>\nwith performance_report(filename=\"read_gbq_timeseries_groupby.html\"):\n ddf_ts = read_gbq(\n project_id=\"dask-bigquery\",\n dataset_id=\"test_dataset\",\n table_id=\"dask_timeseries\",)\n\n ddf_ts.groupby('name').x.mean().compute()\n\n </pre>\n "},"id":"1390","type":"Div"},{"attributes":{"text":"\n \n <p style=\"font-family: monospace; margin: 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