worker | High performance Node.js/PostgreSQL job queue (also suitable for getting jobs generated by PostgreSQ | Runtime Evironment library
kandi X-RAY | worker Summary
kandi X-RAY | worker Summary
Job queue for PostgreSQL running on Node.js - allows you to run jobs (e.g. sending emails, performing calculations, generating PDFs, etc) "in the background" so that your HTTP response/application code is not held up. Can be used with any PostgreSQL-backed application. Pairs beautifully with PostGraphile or PostgREST.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of worker
worker Key Features
worker Examples and Code Snippets
def run_distribute_coordinator(worker_fn,
strategy,
eval_fn=None,
eval_strategy=None,
cluster_spec=None,
def batch_sizes_for_worker(global_batch_size, num_workers,
num_replicas_per_worker, worker_index):
"""Determines how to rebatch a dataset for the given worker.
Given the global batch size, number of workers, number of
def _is_worker_failure(error):
"""Whether the error is considered a worker failure."""
# TODO(b/216666282): Understand why worker failure can manifest as a
# "Graph execution error" `UnknownError`.
if (_handle_graph_execution_error_as_worker
Community Discussions
Trending Discussions on worker
QUESTION
I have updated node
today and I'm getting this error:
ANSWER
Answered 2021-Oct-27 at 17:19Ran into the same issue with Node.js 17.0.0. To solve it, I downgraded to version 14.18.1, deleted node_modules
and reinstalled.
QUESTION
I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:
...
ANSWER
Answered 2021-Aug-26 at 14:53I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.
QUESTION
I am running a Spring Boot app that uses WebClient for both non-blocking and blocking HTTP requests. After the app has run for some time, all outgoing HTTP requests seem to get stuck.
WebClient is used to send requests to multiple hosts, but as an example, here is how it is initialized and used to send requests to Telegram:
WebClientConfig:
...ANSWER
Answered 2021-Dec-20 at 14:25I would propose to take a look in the RateLimiter direction. Maybe it does not work as expected, depending on the number of requests your application does over time. From the Javadoc for Ratelimiter: "It is important to note that the number of permits requested never affects the throttling of the request itself ... but it affects the throttling of the next request. I.e., if an expensive task arrives at an idle RateLimiter, it will be granted immediately, but it is the next request that will experience extra throttling, thus paying for the cost of the expensive task." Also helpful might be this discussion: github or github
I could imaginge there is some throttling adding up or other effect in the RateLimiter, i would try to play around with it and make sure this thing really works the way you want. Alternatively, consider using Spring @Scheduled to read from your queue. You might want to spice it up using embedded JMS for further goodies (message persistence etc).
QUESTION
After coming across something similar in a co-worker's code, I'm having trouble understanding why/how this code executes without compiler warnings or errors.
...ANSWER
Answered 2022-Feb-09 at 07:17References can't bind to objects with different type directly. Given const int& s = u;
, u
is implicitly converted to int
firstly, which is a temporary, a brand-new object and then s
binds to the temporary int
. (Lvalue-references to const
(and rvalue-references) could bind to temporaries.) The lifetime of the temporary is prolonged to the lifetime of s
, i.e. it'll be destroyed when get out of main
.
QUESTION
I'm working on a React Native application. My Android builds began to fail in the CI environment (and locally) without any changes.
...ANSWER
Answered 2021-Sep-03 at 11:46Go to your package.json file and delete as many dependencies as you can until the project builds successfully. Then start adding back the dependencies one by one to detect which ones have troubles.
Then you can manually patch those dependencies by acceding them on node_modules/[dependencie]/android/build.gradle and setting androidx.core:core-ktx: or androidx.core:core: to a specific version (1.6.0 in my case).
QUESTION
i'm having a problem to publish my app on the play store after october 2021, the error says that the table media_store_extension
doesn't exist. The thing is: i don't use SQLITE on the project, so i have no idea what may be causing this exception.
The target sdk is 30, and de minimun is 26
The full error:
...ANSWER
Answered 2021-Nov-18 at 11:41This error is reported not only from Flutter developers, but also from Unity (https://forum.unity.com/threads/getting-an-odd-error-in-internal-android-build-after-updating-iap.1104352/ and https://forum.unity.com/threads/error-when-submitting-app-to-google-play.1098139/) and in my case - for a native android app.
We first got this error 6 months ago and applied the fix that was suggested by the unity guys:
QUESTION
Herb Sutter, in his "atomic<> weapons" talk, shows several example uses of atomics, and one of them boils down to following: (video link, timestamped)
A main thread launches several worker threads.
Workers check the stop flag:
...
ANSWER
Answered 2022-Jan-05 at 14:48mo_relaxed
is fine for both load and store of a stop
flag
There's also no meaningful latency benefit to stronger memory orders, even if latency of seeing a change to a keep_running
or exit_now
flag was important.
IDK why Herb thinks stop.store
shouldn't be relaxed; in his talk, his slides have a comment that says // not relaxed
on the assignment, but he doesn't say anything about the store side before moving on to "is it worth it".
Of course, the load runs inside the worker loop, but the store runs only once, and Herb really likes to recommend sticking with SC unless you have a performance reason that truly justifies using something else. I hope that wasn't his only reason; I find that unhelpful when trying to understand what memory order would actually be necessary and why. But anyway, I think either that or a mistake on his part.
The ISO C++ standard doesn't say anything about how soon stores become visible or what might influence that, just Section 6.9.2.3 Forward progress
18. An implementation should ensure that the last value (in modification order) assigned by an atomic or synchronization operation will become visible to all other threads in a finite period of time.
Another thread can loop arbitrarily many times before its load actually sees this store value, even if they're both seq_cst
, assuming there's no other synchronization of any kind between them. Low inter-thread latency is a performance issue, not correctness / formal guarantee.
And non-infinite inter-thread latency is apparently only a "should" QOI (quality of implementation) issue. :P Nothing in the standard suggests that seq_cst
would help on an implementation where store visibility could be delayed indefinitely, although one might guess that could be the case, e.g. on a hypothetical implementation with explicit cache flushes instead of cache coherency. (Although such an implementation is probably not practically usable in terms of performance with CPUs anything like what we have now; every release and/or acquire operation would have to flush the whole cache.)
On real hardware (which uses some form of MESI cache coherency), different memory orders for store or load don't make stores visible sooner in real time, they just control whether later operations can become globally visible while still waiting for the store to commit from the store buffer to L1d cache. (After invalidating any other copies of the line.)
Stronger orders, and barriers, don't make things happen sooner in an absolute sense, they just delay other things until they're allowed to happen relative to the store or load. (This is the case on all real-world CPUs AFAIK; they always try to make stores visible to other cores ASAP anyway, so the store buffer doesn't fill up, and
See also (my similar answers on):
- Does hardware memory barrier make visibility of atomic operations faster in addition to providing necessary guarantees?
- If I don't use fences, how long could it take a core to see another core's writes?
- memory_order_relaxed and visibility
- Thread synchronization: How to guarantee visibility of writes (it's a non-issue on current real hardware)
The second Q&A is about x86 where commit from the store buffer to L1d cache is in program order. That limits how far past a cache-miss store execution can get, and also any possible benefit of putting a release or seq_cst fence after the store to prevent later stores (and loads) from maybe competing for resources. (x86 microarchitectures will do RFO (read for ownership) before stores reach the head of the store buffer, and plain loads normally compete for resources to track RFOs we're waiting for a response to.) But these effects are extremely minor in terms of something like exiting another thread; only very small scale reordering.
because who cares if the thread stops with a slightly bigger delay.
More like, who cares if the thread gets more work done by not making loads/stores after the load wait for the check to complete. (Of course, this work will get discarded if it's in the shadow of a a mis-speculated branch on the load result when we eventually load true
.) The cost of rolling back to a consistent state after a branch mispredict is more or less independent of how much already-executed work had happened beyond the mispredicted branch. And it's a stop
flag so the total amount of wasted work costing cache/memory bandwidth for other CPUs is pretty minimal.
That phrasing makes it sound like an acquire
load or release
store would actually get the the store seen sooner in absolute real time, rather than just relative to other code in this thread. (Which is not the case).
The benefit is more instruction-level and memory-level parallelism across loop iterations when the load produces a false
. And simply avoiding running extra instructions on ISAs where an acquire or especially an SC load needs extra instructions, especially expensive 2-way barrier instructions, not like ARM64 ldapr
.
BTW, Herb is right that the dirty
flag can also be relaxed
, only because of the thread.join
sync between the reader and any possible writer. Otherwise yeah, release / acquire.
But in this case, dirty
only needs to be atomic<>
at all because of possible simultaneous writers all storing the same value, which ISO C++ still deems data-race UB. e.g. because of the theoretical possibility of hardware race-detection that traps on conflicting non-atomic accesses.
QUESTION
I am trying to try a sample project in Flutter integration email and google based login, and planning to use firebase initialisation for doing it while I have followed all the steps as mentioned in tutorials I am getting this error as soon as firebase is attempted to be initialised.
...ANSWER
Answered 2021-Dec-25 at 09:13UPDATE:
For your firebase_core
version is seems to be sufficient to pass the FirebaseOptions
once you initialize firebase in your flutter code (and you don't need any script tags in your index.html
):
QUESTION
I just downloaded activiti-app from github.com/Activiti/Activiti/releases/download/activiti-6.0.0/…
and deployed in tomcat9, but I have this errors when init the app:
ANSWER
Answered 2021-Dec-16 at 09:41Your title says you are using Java 9. With Activiti 6 you will have to use JDK 1.8 (Java 8).
QUESTION
Today I was using a stream that was performing a parallel()
operation after a map, however; the underlying source is an iterator which is not thread safe which is similar to the BufferedReader.lines implementation.
I originally thought that trySplit would be called on the created thread, however; I observed that the accesses to the iterator have come from multiple threads.
By example, the following silly iterator implementation is just setup with enough elements to cause splitting and also keeps track of the unique threads that accessed the hasNext
method.
ANSWER
Answered 2021-Dec-13 at 17:33Thread safety does not necessarily imply being accessed by only one thread. The important aspect is that there is no concurrent access, i.e. no access by more than one thread at the same time. If the access by different threads is temporally ordered and this ordering also ensures the necessary memory visibility, which is the responsibility of the caller, it still is a thread safe usage.
The Spliterator
documentation says:
Despite their obvious utility in parallel algorithms, spliterators are not expected to be thread-safe; instead, implementations of parallel algorithms using spliterators should ensure that the spliterator is only used by one thread at a time. This is generally easy to attain via serial thread-confinement, which often is a natural consequence of typical parallel algorithms that work by recursive decomposition.
The spliterator doesn’t need to be confined to the same thread throughout its lifetime, but there should be a clear handover at the caller’s side ensuring that the old thread stops using it before the new thread starts using it.
But the important takeaway is, the spliterator doesn’t need to be thread safe, hence, the iterator wrapped by a spliterator also doesn’t need to be thread safe.
Note that a typical behavior is splitting and handing over before starting traversal, but since an ordinary Iterator
doesn’t support splitting, the wrapping spliterator has to iterate and buffer elements to implement splitting. Therefore, the Iterator
experiences traversal by different threads (but one at a time) when the traversal has not been started from the Stream
implementation’s perspective.
That said, the lines()
implementation of BufferedReader
is a bad example which you should not follow. Since it’s centered around a single readLine()
call, it would be natural to implement Spliterator
directly instead of implementing a more complicated Iterator
and have it wrapped via spliteratorUnknownSize(…)
.
Since your example is likewise centered around a single poll()
call, it’s also straight-forward to implement Spliterator
directly:
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