Based on our record, Visual Studio Code seems to be a lot more popular than Apache Flink. While we know about 1043 links to Visual Studio Code, we've tracked only 30 mentions of Apache Flink. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can recreate this tutorial’s project with your favorite IDE, preferably VS Code. - Source: dev.to / 1 day ago
VS Code does a great job running a folder inside a docker containers. I started up docker, clicked the two blue arrows on the left bottom corner of VS Code and chose. - Source: dev.to / 2 days ago
In web applications or desktop applications that supports multiple tabs (e.g., VSCode), a session equals a single tab. - Source: dev.to / 5 days ago
For an efficient coding experience, we recommend using an Integrated Development Environment (IDE). VSCode and PyCharm are excellent options to start with. - Source: dev.to / 7 days ago
VS Code or JetBrains installed on your machine. - Source: dev.to / 11 days ago
Restate is built as a sharded replicated state machine similar to how TiKV (https://tikv.org/), Kudu (https://kudu.apache.org/kudu.pdf) or CockroachDB (https://github.com/cockroachdb/cockroach) since it makes it possible to tune the system more easily for different deployment scenarios (on-prem, cloud, cost-effective blob storage). Moreover, it allows for some other cool things like seamlessly moving from one log... - Source: Hacker News / 24 days ago
I’ve recently started my journey with Apache Flink. As I learn certain concepts, I’d like to share them. One such "learning" is the expansion of array type columns in Flink SQL. Having used ksqlDB in a previous life, I was looking for functionality similar to the EXPLODE function to "flatten" a collection type column into a row per element of the collection. Because Flink SQL is ANSI compliant, it’s no surprise... - Source: dev.to / about 1 month ago
You should let the Apache Flink team know, they mention exactly-once processing on their home page (under "correctness guarantees") and in their list of features. [0] https://flink.apache.org/ [1] https://flink.apache.org/what-is-flink/flink-applications/#building-blocks-for-streaming-applications. - Source: Hacker News / about 2 months ago
Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 3 months ago
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
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Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.