sequence-generator | 比oracle sequence更加强大的序列生成器
kandi X-RAY | sequence-generator Summary
kandi X-RAY | sequence-generator Summary
比oracle sequence更加强大的序列生成器,支持分布式环境,配合MHA可完美做到高可用,与spring无缝集成,使用非常简单可靠
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Top functions reviewed by kandi - BETA
- Get next range by name
- Returns the UPDATE SQL statement
- Gets the select SQL
- Get column name
- Gets the name column name
- Get the step
- Returns the table name
- Get the value column name
- Get next value
- Increments the current value and returns - 1 if it is reached
- Returns true if the frame is over
- Parse bean definition
- Compares this range with the specified range
- Creates a hashCode of the value
- Change the step value
- Returns a string representation of this RangeRangeRange
sequence-generator Key Features
sequence-generator Examples and Code Snippets
def fibonacci_generator() -> Generator[int, None, None]:
"""
A generator that produces numbers in the Fibonacci sequence
>>> generator = fibonacci_generator()
>>> next(generator)
1
>>> next(gener
Community Discussions
Trending Discussions on sequence-generator
QUESTION
I am stuck with an issue in defining my Hibernate entity. Which is defined as follows:
Entity Consent:
...ANSWER
Answered 2021-Mar-21 at 15:08If you look the generated statement for table creation:
QUESTION
Is there any way that I can generate ID field as 4 digit number i.e from 1000 to 9999 in my Spring boot application. Current Id field looks like this:
...ANSWER
Answered 2020-Jul-22 at 08:58My bad. Forgot to uncomment below line in application.properties.
QUESTION
My question actually based on the best answer from here: what is wrong with this thread-safe byte sequence generator?
Why is this solution NOT thread-safe:
...ANSWER
Answered 2020-Feb-28 at 13:23The counter object is incremented outside the 'synchronized' lock (very first line of the nextValue
method invokes incrementAndGet
).
If you have 20 threads, the AtomicInteger
starts out at 0, and each thread calls, simultaneously: counter.incrementAndGet()
, then afterwards the atomicinteger holds value 20. Guaranteed.
Whereas if you have 20 threads and they all do, simultaneously: int c = counter.get(); counter.set(c + 1);
then after all is done, the atomicinteger might be 20. Or 5. or 18. or 1.
The reason is rather simple: 20 threads all run the .get() line, all see zero, 20 threads all calculate '0+1', which is 1, and then 20 threads all set, in turn, the atomic integer to 1. Or even: one thread sees 0, gets pre-empted, 19 other threads play nice, increment the atomicinteger nicely from 0 to 19, and then finally that original thread continues on, calculates '0+1', and sets the atomicinteger to it, bringing us back to '.. and after all that the value is 1'.
Here the synchronization helps, but given that incrementing is occurring outside, you can still get the problem of the one thread that is inside the synchronized block reading, say, '5', then another 3 threads hitting the incrementAndGet outside of the synchronized block, making it 8, and then the original thread also setting the atomicinteger back to 6, thus you have 'missed' an bunch of increments.
QUESTION
I have an lstm I'm using as a sequence-generator trained on word2vec vectors. The previous implementation produced a probability distribution for all the different labels. There was one label for every word in the vocabulary. This implementation used Pytorch's CrossEntropyLoss. I now want to change this so the lstm outputs a vector that has the same dimensions as the vectors used for training. This way I could use the euclydian distance measure to match wit to nearby vectors in the vocabulary. The problem is that in order to do this, I have to use a different loss function, because CrossEntropyLoss is appropriate for classifiers and not for regression problems.
I tried changing the format of the target vector, but torch's CrossEntropyLoss function requires integer input, and I have a word vector. Having looked at a few options it seems Cosine Embedding Loss might be a good idea but I don't understand how it works and what kind of input it takes.
I have already changed my fully connected layer to output vectors of the same dimensions as the Word Embeddings used for training:
...ANSWER
Answered 2019-Sep-26 at 19:28As the documentation of CosineEmbeddingLoss says:
Creates a criterion that measures the loss given two input tensors and a Tensor label with values 1 or -1.
In your scenario, you should always provide 1 as the Tensor label.
QUESTION
I want to sort an xml file by the attribute value "class" of the element "entity". In output I want to keep the same structure of my input xml, Here a part of my xml code:
...ANSWER
Answered 2018-Oct-09 at 09:07With xslt you can do this:
QUESTION
I use :
mysql-connector-java 6.0.6
hibernate 5.2.10.Final
spring 4.3.8.RELEASE
Class code :
...ANSWER
Answered 2017-Jun-25 at 13:14Thanks to Neil Stocktin the problem was that i tried to get superclass property from this child. (not working). solution will be add
QUESTION
I am using Hibernate 5.2.9.Final (version of both the core & Envers). When added auditing to a table, created with:
...ANSWER
Answered 2017-Jun-10 at 16:22As indicated in my comment, Envers does not interpret its schema from the existing database schema in any way. In fact, its entire mapping model production process is based on inspecting Hibernate ORM's boot-time mapping model, which you can find in org.hibernate.mapping
.
This means that for things such as column lengths, they should be supplied as part of your mapping model via either annotations or in your XML mapping file in order for Envers to generate properties that use those same lengths or in some cases custom column definitions.
If you specify the lengths in your XML mapping file and regenerate the Envers schema, it should align itself very closely with your Hibernate entity schema.
UPDATE
The reason you don't see the column definitions being rendered in the Envers mappings is because your JPA ORM.XML file is invalid, it isn't following the schema definition and thus not only would Envers not be seeing your column definitions, neither would Hibernate.
Your mappings should be:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sequence-generator
You can use sequence-generator like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the sequence-generator component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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