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Suppose you are developing a boring Jenkins pipline (like Jenkinsfile-s) with no time at all.
You are forced to commit and then run the jenkins pipeline. Jenkins download the code from your LOCAL repository.
To avoid commit& push roundtrip you are using the simple git daemon command to expose your local repository to jenkins. So jenkins see every commit you has just done.
And you end up doing a lot of commits, full of trial and errors: you would like to “squash” them before pushing your work to your remote repository, to avoid co-worker laugh your wasted time(!)
Git can do that, but I have an hard time to find the easier way of doing it, even reading git books!
So let me explain to you:
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Some co-workers started using Apache Kafka con a bunch of our Customers.
Apache Kafka is a community distributed event streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log[*].
To get this goal, Apache Kafka needs a complex servers setup, even more complex if you want the certification for the producing company (Confluent). Now, if you are planning to use Kafka like a simple JavaMessaeSystem (JMS) implementation, think twice before going on this route.PostgreSQL 12 offers a fair (and open source) partition implementation, whereas if money are not a problem, Oracle 12c can happy scale on billions of record before running into troubles (and ExaData can scale even more).
PostgreSQL and Oracle offer optimizations for partitioned data, called “Partition Pruning” in PostreSQL teminology:
With partition pruning enabled, the planner will examine the definition of each partition and prove that the partition need not be scanned because it could not contain any rows meeting the query's WHERE clause. When the planner can prove this, it excludes (prunes) the partition from the query plan.
This feature is quite brand new (popped in PostreSQL 11) but it is essential to a successful partition strategy. Before these feature, partitioning was a black magic art. Now it is simpler to manage.
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I think constants are evil (just joking but….I will explain why).
I am tired of seeing a lot of Java classes filled with the same constants repeated over and over again, instead of collecting them in a common file, which in C Language was called include files (ooooah!).
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Use docker in docker to drive docker from a container Working under windows, sometimes docker slow down. Sometimes you need to access to the MobyVM. With this line:
docker run --rm -ti -v "/var/run/docker.sock:/var/run/docker.sock" -v /:/host docker sh
you run a container which will removed upon exit. This container can access to docker daemon (via the docker in docker image) and has also access to MobyVM under the /host mount point. Keep in mind this container has total access to your windows C: disk too, so be careful! Find the total memory % used by your containers:
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Some time ago I mentioned the Pyc64 project, a “differently emulated” C/64.
There’s a much more ambitious project that’s going under pressure, it’s called Commander X 16.
Commander X 16 has been started by David Murray and three other guys.David’s desire was to create an 8-bit computer similar to the C/64 but a little more comfortable to use: for example with 80 columns, but not with too much computing power, so as not to distort its “retro” nature.
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We have a surprise for you today: Raspberry Pi 4 is now on sale, starting at $35!
Source: Raspberry Pi 4 on sale now from $35 - Raspberry PiHere are the highlights:
- A 1.5GHz quad-core 64-bit ARM Cortex-A72 CPU (~3× performance)
- 1GB, 2GB, or 4GB of LPDDR4 SDRAM
- Full-throughput Gigabit Ethernet
- Dual-band 802.11ac wireless networking
- Bluetooth 5.0
- Two USB 3.0 and two USB 2.0 ports
- Dual monitor support, at resolutions up to 4K
- VideoCore VI graphics, supporting OpenGL ES 3.x
- 4Kp60 hardware decode of HEVC video
- Complete compatibility with earlier Raspberry Pi products
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