Guava
Flyway
Guava | Flyway | |
---|---|---|
58 | 81 | |
49,412 | 7,775 | |
0.3% | 0.6% | |
9.6 | 7.2 | |
5 days ago | 10 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Guava
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Lists: do you know the nature of yours? The strange story of a data container in Java
The first problem is at the level of Type System, given that a situation more correct would allow us to distinguish through the Collection Type which abstraction we are operating with, species if definable as mutable or immutable. The JCF was born at a time when great care was taken to offer immediate operational data structures, and with attention to performance, but with less attention to constructs or uses that are now seen as common. These concepts have been taken up by other infrastructures from which we certainly cannot fail to mention: Eclipse Collection, Guava Collections, and VAVR.
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Google/guava: Google core libraries for Java
Even better is getting Gradle/Maven to correctly pull "plain" vs "Android" versions of the package instead of them just publishing the diverging code base as two repository packages.
https://github.com/google/guava/issues/2914
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Guava 32.0 (released today) and the @Beta annotation
I'll admit I'm surprised to see that BOMs have been documented on maven.apache.org since mid-2008. It looks like Spring, for example, didn't adopt them until mid-2014. I don't know how widely they caught on in other areas. The first discussion of them in the context of Guava may have been in 2018, as I don't see mention of them in the various issues from 2011-2015 (#605, #1329, #1471, #1954.
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Best Practice of Guava ImmutableList
And a quick peek at the source code for ImmutableList seems to confirm this (https://github.com/google/guava/blob/master/guava/src/com/google/common/collect/ImmutableList.java - it goes via a bunch of methods, but ends up using Arrays.copyOf(), which creates a fixed-size array).
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Genuine question: how do you all use Haskell IRL?
The guava library of Java has some of these data structures implemented: https://github.com/google/guava/wiki/ImmutableCollectionsExplained , but implementations of the above book in many languages can be found on github (say, this one for Haskell: https://github.com/aistrate/Okasaki )
- Murmurhash -criando um rollout progressivo via backend
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Один из примеров почему ChatGPT еще очень далеко до замены программистов, та и остальных профессий тоже.
Java Mask: Java Mask is a library that offers various string masking techniques for sensitive data such as credit card numbers, email addresses, and more. You can find the library at: https://github.com/miguelfreitas93/java-mask DataMasker: DataMasker is a Java library specifically designed for masking sensitive data, including credit card numbers, using customizable masking patterns. Visit the GitHub repository for more information and usage examples: https://github.com/GDSSecurity/DataMasker Maskify: Maskify is a simple Java library that can be used to mask credit card numbers, Social Security numbers, and other sensitive information. You can find the library at: https://github.com/jonathancarvalhoalves/maskify CreditCardUtils: This is a lightweight Java library that provides utility methods for validating, formatting, and masking credit card numbers. Visit the GitHub repository for more information: https://github.com/malkusch/creditcardutils Google Guava: Google Guava is a popular set of Java libraries containing a wealth of utilities for working with strings, collections, and more. While not specifically designed for masking credit card information, you can use Guava's string manipulation methods to mask sensitive data: https://github.com/google/guava
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Twitter makes some of its source code public
I mean, I guess, technically? If you define it like that, then Microsoft has people working for them for free, as does Google, as does Apple, etc. It's not that weird, and you can try to twist it to be weird, but those of us in the software industry largely regard this as a good thing.
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Managing unfixable CVEs
So we have https://github.com/google/guava/issues/4011
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Java 17 migration: bias locks regression
Ok, so let's implement our lazy initialization more smartly to avoid acquiring the lock every time and use old fashion but still working double-checked locking. I've found it implemented by Suppliers.memoize in guava library.
Flyway
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Let's write a simple microservice in Clojure
The session logs show that the application loads configurations and establishes a connection with a PostgreSQL database. This involves initializing a HikariCP connection pool and Flyway for database migrations. The logs confirm that the database schema validation and migration checks were successful. The startup of the Jetty HTTP server follows, and the server becomes operational and ready to accept requests on the specified port.
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Ask HN: What tool(s) do you use to code review and deploy SQL scripts?
Also RedGate, but Flyway has some reasons to recommend it over RedGate Deploy depending on your DBAs/workflows: https://flywaydb.org/
(Though I don't think it is "complete" or "perfect", either.)
EF Migrations are in a really good place now if you like/don't mind C# as a language (and you can easily embed SQL inside the C#, too, but there are benefits to being able to also run high level C# code). With today's tooling you can package your migration "runner application" as a single deployable executable for most platforms. You can build the executable once and run it in all your environments. (The same tool that updates your QA and Staging updates your Prod, testably running the same migrations.) Given the single executable deployable I might even consider using it for projects not themselves written in C#.
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PostgreSQL Is Enough
There is a bit of tooling needed but is already around. For Java for example I had very good experience with a combination of flyway [1] for migrations, testcontainers [2] for making integration tests as easy as unit tests and querydsl [3] for a query and mapping layer.
[1] https://github.com/flyway/flyway
[2] https://java.testcontainers.org/modules/databases/postgres/
[3] https://github.com/querydsl/querydsl
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Using Flyway to version your database
When software starts using a database, it's advisable to have version control, just as we have Github to control our source code. This is all to be sure about what was executed for that specific version. For Java and Spring boot, we have the Flyway framework that aims to resolve this situation, free of charge.
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CI/CD for Databricks
If you're looking for tools, like https://www.liquibase.com/ or https://flywaydb.org/, which are database-state-based schema migration toolkits - it might be relatively straightforward to build similar ones using Databricks SQL drivers.
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Working with jOOQ and Flyway using Testcontainers
Honestly I kind of wish there was a Lukas Eder database migration library. Call it whatever jooq-migration. At least I would have more insight of what is going on (<-- seriously look at the commit history).
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Strategy to run database scripts on Kubernetes
This is a 4th option, which should play nice with ArgoCD. The following example runs flyway as a k8s job. The desired migration changes are recorded as files within the chart. This helm chart can be integrated with your application (Using hooks to determine when the migration job is run) or run manually.
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How do your teams run DB migrations?
By using an opinionated framework within the app/service (like Flyway, Migrate, Diesel, etc). Schema migrations happen on app/service start-up.
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I've never created a production database from scratch and am wondering how much trouble it would be to transition a one-to-one relationship to a one-to-many relationship if I determine at some point that the latter is required.
Depending on the language or platform there are libraries you can use to manage this, such as Prisma on node and Flyway for Java/JVM.
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How should I document and/or automate schema changes?
It's probably overkill but I've used github plus flyway at a couple places in the past which is pretty nice tool for tracking changes to a variety of db's, it's also very helpful if you ever need to replicate a db in a new region/environment.
What are some alternatives?
JGit - JGit project repository (jgit)
alembic - A database migrations tool for SQLAlchemy.
javatuples - Typesafe representation of tuples in Java.
HikariCP - 光 HikariCP・A solid, high-performance, JDBC connection pool at last.
Caffeine - A high performance caching library for Java
roundhouse - RoundhousE is a Database Migration Utility for .NET using sql files and versioning based on source control
Eclipse Collections - Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.
H2 - H2 is an embeddable RDBMS written in Java.
Hashids.java - Hashids algorithm v1.0.0 implementation in Java
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
Gephi - Gephi - The Open Graph Viz Platform
Hibernate - Hibernate's core Object/Relational Mapping functionality