er-console | 随机打印恶搞信息 | Command Line Interface library
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随机打印恶搞信息
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QUESTION
I have tried this tutorial and have successfully consumed kafka topics that are published on a server at my work place. I am not the producer, just purely a consumer. However, the code in that tutorial is to stream in a terminal. Now I want to try it with Python and record the messages into text file (or something of that sort).
This is the code I use, after reading a few more threads and tutorials (such as here):
...ANSWER
Answered 2021-Jun-08 at 23:07If you're able to use the WSL terminal with kafka-console-consumer
, then running Python code there should work the same.
If you're connecting to a remote Kafka server, chances are the WSL2 network settings are simply not able to reach that address. (multiple issues elsewhere talk about WSL2 and not having external internet access) . Therefore, you should really consider running Python code on the Windows host itself. Otherwise, sounds like you'll need to adjust your network configurations.
The for loop will wait for new messages to a topic, not read existing data until you add another parameter to the consumer to tell it to
FWIW, you can use kafka-console-consumer ... >> file.txt
to write out to a file
QUESTION
I am using following three test cases to test the behavior of upsert-kafka
- Write the aggregation results into kafka with
upsert-kafka
format (TestCase1) - Using
fink table result print
to output the messages.(TestCase2) - Consume the Kafka Messages directly with the consume-console.sh tool.(TestCase3)
I found that when using fink table result print
, it prints two messages with -U
and +U
to indicate that one is deleted, and the other is inserted, and for the consume-console
, it prints the result correctly and directly.
I would ask why fink table result print
behaves what I have observed
Where does -U
and +U
(delete message and insert message) come from, are they saved in Kafka as two messages? I think the answer is NO, because I didn't see these immediate results.
when consuming with consumer-console
.
ANSWER
Answered 2021-Jun-01 at 15:38With Flink SQL we speak of the duality between tables and streams -- that a stream can be thought of as a (dynamic) table, and vice versa. There are two types of streams/tables: appending and updating. An append stream corresponds to a dynamic table that only performs INSERT operations; nothing is ever deleted or updated. And an update stream corresponds to a dynamic table where rows can be updated and deleted.
Your source table is an upsert-kafka table, and as such, is an update table (not an appending table). An upsert-kafka source corresponds to a compacted topic, and when compactions occur, that leads to updates/retractions where the existing values for various keys are updated over time.
When an updating table is converted into a stream, there are two possible results: you either get an upsert stream or a retraction stream. Some sinks support one or the other of these types of update streams, and some support both.
What you are seeing is that the upsert-kafka sink can handle upserts, and the print sink cannot. So the same update table is being fed to Kafka as a stream of upsert (and possibly deletion) events, and it's being sent to stdout as a stream with an initial insert (+I) for each key, followed by update_before/update_after pairs encoded as -U +U for each update (and deletions, were any to occur).
QUESTION
I'm building an interactive function that can select inputs with a dropdown.
Everything can be selected, except for an argument whose type is a pandas.DataFrame
. How can I fix it?
Code I used
...ANSWER
Answered 2021-May-17 at 08:11I think this has something to do with how ipywidgets and interact inspect the passed lists of objects. To avoid the issue, pass a simpler list of items, and then do the lookup in the interact function. Try this as an alternative:
QUESTION
Do think you that it possible to remove the space in the console.log ?
For example on this code
...ANSWER
Answered 2021-May-02 at 21:07No. The console is meant for output debugging only, and how it's presented is handled by the debugging tools. At best you can do this:
QUESTION
ANSWER
Answered 2021-Apr-19 at 03:26DML are not logged on the audit logs by default on Cloud SQL. To see the DML logs in Logging, you need use pgAudit on your PostgreSQL. By the way pgAudit is only available in PostgreSQL instances.
Steps to enable pgaudit:
Enable pgaudit using gcloud command
gcloud sql instances patch [INSTANCE_NAME] --database-flags \ cloudsql.enable_pgaudit=on,pgaudit.log=all
Create the pgaudit extension in your postgres database
CREATE EXTENSION pgaudit;
Run a simple select statement on your postgres database
Query DML statements logs in Logging:
Open Logging -> Logs Explorer
In the query builder apply this filter:
resource.type="cloudsql_database" logName="projects//logs/cloudaudit.googleapis.com%2Fdata_access" protoPayload.request.@type="type.googleapis.com/google.cloud.sql.audit.v1.PgAuditEntry"
I used the quickstart for PostgresSQL for testing.
Query postgre database:
Filter Logging using the filter above:
QUESTION
I have been trying to create a requirements.txt file from the Pycharm terminal but it is adding all unnecessary packages as well. What should I do to show only used packages? Thanks, requirements.txt:
...aiohttp==3.7.3 aioredis==1.3.1 alabaster==0.7.12 anaconda-client==1.7.2 anaconda-navigator==1.9.12 anaconda-project==0.8.3 appdirs==1.4.4 appnope==0.1.0 argh==0.26.2 asgiref==3.3.1 asn1crypto==1.3.0 astroid==2.4.2 astropy==4.0.1.post1 async-timeout==3.0.1 atomicwrites==1.4.0 attrs==19.1.0 autobahn==21.2.1 Automat==20.2.0 autopep8 @ file:///tmp/build/80754af9/autopep8_1592412889138/work Babel==2.8.0 backcall==0.1.0 backports.functools-lru-cache==1.6.1 backports.shutil-get-terminal-size==1.0.0 backports.tempfile==1.0 backports.weakref==1.0.post1 bcrypt==3.1.7 beautifulsoup4==4.9.1 bitarray @ file:///C:/ci/bitarray_1594751092677/work bkcharts==0.2 bleach==3.1.0 bokeh @ file:///C:/ci/bokeh_1593183652752/work boto==2.49.0 Bottleneck==1.3.2 brotlipy==0.7.0 bs4==0.0.1 certifi==2020.6.20 cffi==1.13.1 channels==3.0.3 channels-redis==3.2.0 chardet==3.0.4 cheroot==8.5.2 Click==7.0 cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1594141588948/work clyent==1.2.2 colorama==0.4.4 comtypes==1.1.7 conda==4.8.3 conda-build==3.18.11 conda-package-handling==1.7.0 conda-verify==3.4.2 constantly==15.1.0 contextlib2==0.6.0.post1 cryptography==3.4.6 cycler==0.10.0 Cython @ file:///C:/ci/cython_1594830140812/work cytoolz==0.10.1 daphne==3.0.1 dask @ file:///tmp/build/80754af9/dask-core_1594156306305/work decorator==4.4.0 defusedxml==0.6.0 diff-match-patch @ file:///tmp/build/80754af9/diff-match-patch_1594828741838/work distlib==0.3.1 distributed @ file:///C:/ci/distributed_1594747837674/work dj-database-url==0.5.0 dj-rest-auth==2.1.3 Django==3.1.5 django-admin-honeypot==1.1.0 django-allauth==0.44.0 django-bootstrap4==0.0.5 django-channels==0.7.0 django-crispy-forms==1.11.0 django-defender==0.8.0 django-heroku==0.3.1 django-honeypot==0.9.0 django-tastypie==0.14.3 djangorestframework==3.12.2 dnspython==1.15.0 docutils==0.16 entrypoints==0.3 et-xmlfile==1.0.1 Faker==0.8.13 fastcache==1.1.0 filelock==3.0.12 flake8==3.7.8 Flask==0.12.4 Flask-Bcrypt==0.7.1 Flask-Cors==3.0.3 Flask-JWT-Extended==3.7.0 Flask-Login==0.4.0 fsspec==0.7.4 future==0.18.2 gevent @ file:///C:/ci/gevent_1593010772244/work glob2==0.7 gmpy2==2.0.8 greenlet==0.4.16 gunicorn==20.0.4 h5py==2.10.0 HeapDict==1.0.1 hiredis==1.1.0 html5lib @ file:///tmp/build/80754af9/html5lib_1593446221756/work hyperlink==21.0.0 idna @ file:///tmp/build/80754af9/idna_1593446292537/work imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work imagesize==1.2.0 importlib-metadata==0.23 incremental==17.5.0 intervaltree @ file:///tmp/build/80754af9/intervaltree_1594361675072/work ipykernel==5.1.3 ipython==7.8.0 ipython-genutils==0.2.0 ipywidgets==7.5.1 isort==5.7.0 itsdangerous==1.1.0 jaraco.functools==3.1.0 jdcal==1.4.1 jedi==0.15.1 Jinja2==2.10.3 joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work json5==0.9.5 jsonschema==3.1.1 jupyter==1.0.0 jupyter-client==5.3.1 jupyter-console==6.0.0 jupyter-core==4.4.0 jupyterlab==2.1.5 jupyterlab-server @ file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work keyring @ file:///C:/ci/keyring_1593109210108/work kiwisolver==1.2.0 lazy-object-proxy==1.4.3 libarchive-c==2.9 llvmlite==0.32.1 locket==0.2.0 lxml @ file:///C:/ci/lxml_1594826940903/work MarkupSafe==1.1.1 matplotlib @ file:///C:/ci/matplotlib-base_1592844891112/work mccabe==0.6.1 menuinst==1.4.16 mistune==0.8.4 mkl-fft==1.1.0 mkl-random==1.1.1 mkl-service==2.3.0 mock==4.0.2 more-itertools==7.2.0 mpmath==1.1.0 msgpack==1.0.0 multidict==5.0.2 multipledispatch==0.6.0 navigator-updater==0.2.1 nbconvert==5.6.0 nbformat==4.4.0 networkx @ file:///tmp/build/80754af9/networkx_1594377231366/work nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work node==0.9.25 nose==1.3.7 notebook==6.0.1 numba==0.49.1 numexpr==2.7.1 numpy==1.18.5 numpydoc @ file:///tmp/build/80754af9/numpydoc_1594166760263/work oauthlib==3.1.0 odict==1.7.0 olefile==0.46 openpyxl @ file:///tmp/build/80754af9/openpyxl_1594167385094/work packaging==20.4 pandas @ file:///C:/ci/pandas_1592841744841/work pandocfilters==1.4.2 paramiko==2.7.1 parso==0.5.1 partd==1.1.0 path==13.1.0 pathlib2==2.3.5 pathtools==0.1.2 patsy==0.5.1 pep8==1.7.1 pexpect==4.7.0 pickleshare==0.7.5 Pillow @ file:///C:/ci/pillow_1594304973959/work pipenv==2020.11.15 pkginfo==1.5.0.1 pluggy==0.6.0 plumber==1.6 ply==3.11 prometheus-client==0.7.1 prompt-toolkit==2.0.10 psutil==5.7.0 psycopg2==2.8.6 ptyprocess==0.6.0 py==1.8.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycodestyle==2.5.0 pycosat==0.6.3 pycparser==2.19 pycurl==7.43.0.5 pydocstyle @ file:///tmp/build/80754af9/pydocstyle_1592848020240/work pyflakes==2.1.1 pygame==2.0.1 Pygments==2.4.2 PyHamcrest==2.0.2 PyJWT==1.7.1 pylint==2.6.0 pymongo==3.7.2 PyNaCl @ file:///C:/ci/pynacl_1595009196976/work pyodbc===4.0.0-unsupported pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1594392929924/work pyparsing==2.4.7 PyQt5==5.15.2 PyQt5-sip==12.8.1 pyreadline==2.1 pyrsistent==0.15.4 PySocks==1.7.1 pytest==3.3.0 pytest-flask==0.11.0 python-dateutil==2.8.0 python-decouple==3.4 python-jsonrpc-server @ file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work python-language-server @ file:///C:/ci/python-language-server_1594154480810/work python-mimeparse==1.6.0 python3-openid==3.2.0 pytz==2020.1 PyWavelets==1.1.1 pywin32==227 pywin32-ctypes==0.2.0 pywinpty==0.5.7 PyYAML==5.3.1 pyzmq @ file:///C:/Users/Rashidov/Desktop/mflix-python/pyzmq-22.0.3-cp38-cp38-win32.whl QDarkStyle==2.8.1 QtAwesome==0.7.2 qtconsole==4.5.5 QtPy==1.9.0 redis==3.5.3 regex @ file:///C:/ci/regex_1593435678736/work requests @ file:///tmp/build/80754af9/requests_1592841827918/work requests-oauthlib==1.3.0 rope==0.17.0 Rtree==0.9.4 ruamel-yaml==0.15.87 scikit-image==0.16.2 scikit-learn @ file:///C:/ci/scikit-learn_1592863447244/work scipy @ file:///C:/ci/scipy_1592916961137/work seaborn==0.10.1 selenium==3.141.0 Send2Trash==1.5.0 service-identity==18.1.0 simplegeneric==0.8.1 simplejson==3.17.2 singledispatch==3.4.0.3 sip==4.19.13 six==1.12.0 snowballstemmer==2.0.0 sortedcollections==1.2.1 sortedcontainers==2.2.2 soupsieve==2.0.1 Sphinx @ file:///tmp/build/80754af9/sphinx_1594223420021/work sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport @ file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work spyder @ file:///C:/ci/spyder_1594820234642/work spyder-kernels @ file:///C:/ci/spyder-kernels_1594744028846/work SQLAlchemy @ file:///C:/ci/sqlalchemy_1593446777599/work sqlparse==0.4.1 statsmodels==0.11.1 sympy @ file:///C:/ci/sympy_1594234724630/work tables==3.6.1 tblib==1.6.0 telepot==12.7 terminado==0.8.3 testpath==0.4.2 text-unidecode==1.2 textblob==0.15.3 threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl toml==0.10.2 toolz==0.10.0 tornado==6.0.3 tqdm @ file:///tmp/build/80754af9/tqdm_1593446365756/work traitlets==4.3.3 Twisted @ file:///C:/Users/Rashidov/Desktop/chat_app/Twisted-20.3.0-cp38-cp38-win32.whl txaio==21.2.1 typing-extensions @ file:///tmp/build/80754af9/typing_extensions_1592847887441/work ujson==1.35 unicodecsv==0.14.1 urllib3==1.25.9 virtualenv==20.3.0 virtualenv-clone==0.5.4 watchdog @ file:///C:/ci/watchdog_1593447396356/work wcwidth==0.1.7 web.py==0.62 webencodings==0.5.1 Werkzeug==0.16.0 whitenoise==5.2.0 widgetsnbextension==3.5.1 win-inet-pton==1.1.0 win-unicode-console==0.5 wincertstore==0.2 wrapt==1.12.1 xlrd==1.2.0 XlsxWriter==1.2.9 xlwings==0.19.5 xlwt==1.3.0 xmltodict==0.12.0 yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work yarl==1.6.3 zict==2.0.0 zipp==0.6.0 zope.component==4.6.2 zope.deferredimport==4.3.1 zope.deprecation==4.4.0 zope.event==4.4 zope.hookable==5.0.1 zope.interface==4.7.1 zope.lifecycleevent==4.3 zope.proxy==4.3.5
ANSWER
Answered 2021-Mar-17 at 23:14Check out this Snakefood
Especially the command sfood-imports which finds and lists import statements in python project
So it is not depended on your env but rather on the code that you wrote
QUESTION
I have two servers, lets name them server1
and server2
.
On server1
I have a docker
container with Kafka
running. Port of Kafka
Broker and Zookeeper are mapped to the host.
On server2
I want to install Filebeat
which sends some log messages to Kafka
on server1
. It seems that it can establish the connection to the broker...
ANSWER
Answered 2021-Mar-08 at 14:39Port of Kafka Broker and Zookeeper are mapped to the host
For Kafka, you need more than just a port mapping. You also need to set up the advertised listener address (advertised host is a deprecated property) to be the external hostname/ip of the server where the container is running in order to access it from another machine. You also need the listeners address to 0.0.0.0
Filebeat does not run in a docker container but directly on server2
Shouldn't matter
If the console producer works from the other machine, then you would expect any other Kafka client to work as well
QUESTION
I've built this telegram bot yesterday, and it ran smoothly on Heroku.
However, today I added a new package python-google-places
and I attempted to push to Heroku but received the following errors in Heroku's log:
ANSWER
Answered 2021-Feb-24 at 15:37Pipfile
is redundant for Heroku. But it is ok to use it for development.
Most probably that you are erasing it from dependencies using pipenv
. Try to add to Pipfile
and then do pip freeze
QUESTION
My app works locally, however when I try to deploy to Heroku, I get a Sprockets::FileNotFound: couldn't find file 'angular' with type 'application/javascript'
error.
I have tried precompiling with RAILS_ENV=production bundle exec rake assets:precompile
and purging my build cache with heroku builds:cache:purge -a findum
, but still no luck. I recently migrated from Bower to Yarn– not sure if my asset path is the problem?
Has anyone run into a similar error that they were able to resolve? So many thanks 🙏.
This is my application.js
:
ANSWER
Answered 2021-Feb-19 at 13:57Update:
It looks like it was a problem with my post-Bower configuration (I migrated from Bower --> Yarn) I was able to solve Sprockets errors by adding this line to my assets.rb
:
Rails.application.config.assets.paths << Rails.root.join('node_modules')
and by running yarn add
for files that Sprockets could not locate.
I also made the following updates to old package names in my `application.rb'
QUESTION
I want to transfer my app with subscriptions to another company, but it seems that it was not possible before, and the document of google is vague.
Does anyone know if it is still not possible or is there any good way to do that like transferring the developer account itself?
Transferring android app with subscription to another account
...ANSWER
Answered 2021-Feb-08 at 08:37It is allowed nowadays! You can transfer apps with in-app subsriptions to a new developer account. And you need pay extra attention to linked project if you used Play Developer APIs to verify the purchases or used other integrated services. After the transfering process, the renewal orders will be visible in the Play Console under the new developer account while the previous orders will only be visible under your current account.
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