Conclusions from title-drafting and question-content assistance experiments Can you solve two unknowns with one equation? Public signup for this instance is disabled. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 4.98s. Path will try to be found in the local on-disk filesystem otherwise it will be parsed as an URI to determine the filesystem. I reported it as, Reading in feather file in pyarrow error - ArrowInvalid: Unrecognized compression type: LZ4, issues.apache.org/jira/browse/ARROW-11163, Exploring the infrastructure and code behind modern edge functions, Jamstack is evolving toward a composable web (Ep. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 6.04s. print_filtered_stacktrace() This is often caused by long-running GIL-holding functions or moving large chunks of data. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.68s. Create "folder" s3: //bucket.name/data.parquet in e.g. [Python] pyarrow.lib.ArrowInvalid: Not a Feather V1 or Arrow IPC file This is often caused by long-running GIL-holding functions or moving large chunks of data. This is often caused by long-running GIL-holding functions or moving large chunks of data. However, the following command. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 4.37s. Thank you so much! Hi everyone! raise exc.with_traceback(tb) distributed.core - INFO - Event loop was unresponsive in Nanny for 4.05s. This can cause timeouts and instability. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.72s. There must be some magical sequence of writes needed to make the file kosher. I have the same issue as @phys-bio downloading sha256sum.txt ERROR 404: Not Found. This is often caused by long-running GIL-holding functions or moving large chunks of data. Why do I get this error running tokenizer? - Hugging Face Forums This is often caused by long-running GIL-holding functions or moving large chunks of data. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.95s. distributed.core - INFO - Event loop was unresponsive in Nanny for 5.04s. This is often caused by long-running GIL-holding functions or moving large chunks of data. INFO - ViLT - Started return func(*args2) Vaex fails to open arrow file format. The link you provide is what would be the shasum textfile for the database for me to compare with - but I redownloaded the database on a different cluster a few times with no sha256sum.txt file produced anywhere. File "pyarrow/feather.pxi", line 83, in pyarrow.lib.FeatherReader.open This can cause timeouts and instability. As my workspace and the dataset workspace are not on the same device, I have created a HDF5 file (with h5py) that I have transmitted on my workspace. Pyarrow apply schema when using pandas to_parquet(), Datatypes issue when convert parquet data to pandas dataframe, Pyarrow: TypeError: an integer is required (got type str), Unable to convert dataframe to parquet, TypeError. Feather (= Apache Arrow IPC file format)'s Zstandard support isn't file level compression. This can cause timeouts and instability. File "/usr/lib/python3.8/site-packages/pyscenic/transform.py", line 230, in distributed.core - INFO - Event loop was unresponsive in Nanny for 3.89s. This can cause timeouts and instability. Closing this since it seems to have been a file corruption problem this file seems unvailable. This can cause timeouts and instability. initializing ddp: GLOBAL_RANK: 0, MEMBER: 1/1 distributed.core - INFO - Event loop was unresponsive in Nanny for 3.24s. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.42s. Specially this: distributed.core - INFO - Event loop was unresponsive in Nanny for 4.33s. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.73s. Still same error. You signed in with another tab or window. The text was updated successfully, but these errors were encountered: Update - okay so I have changed my code bit and instead used the following to download the file I needed. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Have a question about this project? [ ] | 0% Completed | 3.9sdistributed.core - INFO - Event loop was unresponsive in Nanny for 5.53s. INFO - lightning - Using native 16bit precision. pyarrow.lib.ArrowInvalid: Not an Arrow file #78 `batch_size <= 0` or `batch_size == None`: Provide the full dataset as a single batch to cast. This is often caused by long-running GIL-holding functions or moving large chunks of data. This is often caused by long-running GIL-holding functions or moving large chunks of data. to your account. fdfe433a367a9b2effb0a9d68e89201c /home/pablo/pySCENIC/data_bases/Mm/mm10__refseq-r80__10kb_up_and_down_tss.mc9nr.feath0e975371d20d0e74b8b95f5a3de6d6c6 /home/pablo/pySCENIC/data_bases/Mm/mm10__refseq-r80__500bp_up_and_100bp_down_tss.mc9nr.feather File "/usr/lib/python3.8/site-packages/pyscenic/rnkdb.py", line 259, in load This can cause timeouts and instability. python - Exception: pyarrow.lib.ArrowInvalid: Error inferring Arrow trainer.fit(model, datamodule=dm) By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. This can cause timeouts and instability. LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] File "/usr/lib/python3.8/site-packages/pyarrow/feather.py", line 40, in init This is often caused by long-running GIL-holding functions or moving large chunks of data. We read every piece of feedback, and take your input very seriously. read_feather () can read both the Feather Version 1 (V1), a legacy version available starting in 2016, and the Version 2 (V2), which is the Apache Arrow IPC file format. This is often caused by long-running GIL-holding functions or moving large chunks of data. I think my electrician compromised a loadbearing stud. distributed.core - INFO - Event loop was unresponsive in Nanny for 4.37s. This can cause timeouts and instability. read_feather () can read both the Feather Version 1 (V1), a legacy version available starting in 2016, and the Version 2 (V2), which is the Apache Arrow IPC file format. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.75s. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.86s. This is often caused by long-running GIL-holding functions or moving large chunks of data. I am using Python 3.8 and the latest version of pyarrow (2.0.0). distributed.core - INFO - Event loop was unresponsive in Nanny for 5.40s. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.56s. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.33s. self.open(source) File "/usr/lib/python3.8/site-packages/pyscenic/transform.py", line 123, in module2features_auc1st_impl This can cause timeouts and instability. Python Code: import pyarrow as pa with open('glue-test.arrow', 'rb') as f: data = pa.ipc.open_f I'm trying to read the huggingface arrow files from libarrow in c++ and python. (result,) = compute(self, traverse=False, **kwargs) I am having the same issue with "pyarrow.lib.ArrowInvalid: Not a feather file" when I run the code using CLI. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.71s. The requested URL /cistarget/databases/sha256sum.txt was not found on this server. This is often caused by long-running GIL-holding functions or moving large chunks of data. pyarrow.lib.ArrowInvalid: Not a feather file distributed.core - INFO - Event loop was unresponsive in Nanny for 3.12s. To learn more, see our tips on writing great answers. To: dandelin/ViLT ***@***. How did you create the Feather file? self.result = self.main_function(*args) This can cause timeouts and instability. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 4.19s. To see all available qualifiers, see our documentation. pyarrow.lib.ArrowInvalid: Not a feather file. Already on GitHub? distributed.core - INFO - Event loop was unresponsive in Nanny for 5.13s. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.76s. This is often caused by long-running GIL-holding functions or moving large chunks of data. 1 feather pyarrow. This is often caused by long-running GIL-holding functions or moving large chunks of data. Making statements based on opinion; back them up with references or personal experience. This is often caused by long-running GIL-holding functions or moving large chunks of data. Have a question about this project? This is often caused by long-running GIL-holding functions or moving large chunks of data. We read every piece of feedback, and take your input very seriously. This is often caused by long-running GIL-holding functions or moving large chunks of data. ***>; Author ***@***. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 5.63s. My suggestion will be to insert the data into the DataFrame already serialized. Direct read in pandas: File "/home/imt2018525/.local/lib/python3.8/site-packages/pytorch_lightning/accelerators/ddp_accelerator.py", line 268, in ddp_train [ ] | 0% Completed | 2.2sdistributed.core - INFO - Event loop was unresponsive in Nanny for 5.00s. pa.ipc.RecordBatchFileReader( This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability. self.set_val_dataset() I receive the same error when reading a zstd compressed feather file. This can cause timeouts and instability. This is often caused by long-running GIL-holding functions or moving large chunks of data. Sriman Reddy, ________________________________ distributed.core - INFO - Event loop was unresponsive in Nanny for 3.79s. This is often caused by long-running GIL-holding functions or moving large chunks of data. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.84s. [ ] | 0% Completed | 4.0sdistributed.core - INFO - Event loop was unresponsive in Nanny for 5.65s. This can cause timeouts and instability. return "".join(filtered_traceback_format(tb_exception)) This can cause timeouts and instability. To see all available qualifiers, see our documentation. pyarrow.lib.ArrowInvalidpysparkpandaspandas_udfcolsArrow Traceback (most recent call last): The error occurs when reading from partitioned parquet from S3, in case when the "root folder" of the parquet was created manually before writing the parquet there. This is often caused by long-running GIL-holding functions or moving large chunks of data. df = FeatherReader(self._fname).read_pandas() distributed.core - INFO - Event loop was unresponsive in Nanny for 3.84s. This can cause timeouts and instability. This is often caused by long-running GIL-holding functions or moving large chunks of data. Asking for help, clarification, or responding to other answers. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.53s. This is often caused by long-running GIL-holding functions or moving large chunks of data. args2 = [_execute_task(a, cache) for a in args] to your account, Traceback (most recent call last): This is often caused by long-running GIL-holding functions or moving large chunks of data. distributed.core - INFO - Event loop was unresponsive in Nanny for 4.70s. Why does Isildur claim to have defeated Sauron when Gil-galad and Elendil did it? Are packaged masalas to be used in combination with or instead of other spices? This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.84s. This can cause timeouts and instability. This is often caused by long-running GIL-holding functions or moving large chunks of data. We don't really engage with users or developers on StackOverflow. Can someone help me resolve this error? This is often caused by long-running GIL-holding functions or moving large chunks of data. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.17s. Find centralized, trusted content and collaborate around the technologies you use most. LZ4 compression should indeed be supported. distributed.core - INFO - Event loop was unresponsive in Nanny for 3.54s. This can cause timeouts and instability. Raises exception: ArrowInvalid: GetFileInfo () yielded path 'bucket/test_pyarrow.parquet/Year=2017/ffcc136787cf46a18e8cc8f72958453f.parquet', which is outside base dir 's3://bucket/test_pyarrow.parquet'. This can cause timeouts and instability. I was wondering how we could fix it? There is no way to handle this. Have a question about this project? df = db.load(module) the steps to reproduce: # 1. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability. A "simpler" description of the automorphism group of the Lamplighter group. This is often caused by long-running GIL-holding functions or moving large chunks of data. What changes in the formal status of Russia's Baltic Fleet once Sweden joins NATO? Connect and share knowledge within a single location that is structured and easy to search. This can cause timeouts and instability. I am not sure it's the issue with the pyarrow version. You switched accounts on another tab or window. This can cause timeouts and instability. Which version of pyarrow are you using? Already on GitHub? distributed.core - INFO - Event loop was unresponsive in Nanny for 3.70s. distributed.core - INFO - Event loop was unresponsive in Nanny for 4.11s. By clicking Sign up for GitHub, you agree to our terms of service and This can cause timeouts and instability. From the arrow documentation, it states that it automatically decompresses the file based on the extension name, which is stripped away from the Download module. [ARROW-11473] [Python] Needs a handling for missing columns while This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability. [ ] | 0% Completed | 6.7sdistributed.core - INFO - Event loop was unresponsive in Nanny for 3.83s. snil.save_to_disk(tempdata). This is often caused by long-running GIL-holding functions or moving large chunks of data. Does it cost an action? This can cause timeouts and instability. This can cause timeouts and instability. This can cause timeouts and instability. distributed.core - INFO - Event loop was unresponsive in Nanny for 5.63s. This can cause timeouts and instability. pyarrow.lib.ArrowInvalid: Not a feather file, [ ] | 0% Completed | 0.2sdistributed.core - INFO - Event loop was unresponsive in Nanny for 3.07s. print(format_filtered_stacktrace(filter_traceback), file=sys.stderr) Try this approach(it works): Not sure is parquet support format