scala | Scala 2 compiler and standard library | Functional Programming library
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kandi X-RAY | scala Summary
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Copy# Add project specific ProGuard rules here.
# You can control the set of applied configuration files using the
# proguardFiles setting in build.gradle.
#
# For more details, see
# http://developer.android.com/guide/developing/tools/progulet rec mapB : ('a -> 'b) -> Tree<'a> -> (Tree<'b>-> Tree<'b>) -> Tree<'b> =
fun f ta k ->
match ta with
| Leaf a -> k (Leaf (f a))
| Branch ys ->
declare -A metricssArray
metricssArray[key1]=some link
metricssArray[key2]=some link
for key in "${!metricssArray[@]}"; do
# ........^..............^ iterates over the keys
curl --location \
--request GET \
--out[ root@curl:/ ]$ nslookup my-confluent-cp-kafka-headless
Server: 10.0.0.10
Address 1: 10.0.0.10 kube-dns.kube-system.svc.cluster.local
Name: my-confluent-cp-kafka-headless
Address 1: 10.8.0.23 my-confluent-cp-kafka-1.my-confluent-[ root@curl:/ ]$ nslookup my-confluent-cp-kafka-headless
Server: 10.0.0.10
Address 1: 10.0.0.10 kube-dns.kube-system.svc.cluster.local
Name: my-confluent-cp-kafka-headless
Address 1: 10.8.0.23 my-confluent-cp-kafka-1.my-confluent-Connecting to localhost:2181
Welcome to ZooKeeper!
JLine support is enabled
[zk: localhost:2181(CONNECTING) 0]
Exception in thread "main" org.apache.zookeeper.KeeperException$ConnectionLossException: KeeperErrorCodvar yourRealmInstanceThread = new AsyncContextThread();
await yourRealmInstanceThread.Factory.Run(async () =>
{
var asyncExBasedRealm = Realm.GetInstance();
var routes = asyncExBasedRealm.All();
foreach (var route in routes)kafka % bin/zookeeper-shell.sh localhost:2181 <<< "ls /consumers"
Connecting to localhost:2181
Welcome to ZooKeeper!
JLine support is disabled
WATCHER::
WatchedEvent state:SyncConnected type:None path:null
[console-consumer-666type Application = Request -> (forall b. (Response -> IO b) -> IO b)
-- a.k.a. Request -> Codensity IO Response
-- newtype Codensity f a = Codensity { runCodensity :: forall b. (a -> f b) -> f b }
-- which is closely rela$ sh zookeeper-shell.sh localhost:2181
Connecting to localhost:2181
Welcome to ZooKeeper!
JLine support is disabled
WATCHER::
WatchedEvent state:SyncConnected type:None path:null
ls /
[cluster, controller, controller_epoch, brokers, zookCommunity Discussions
Trending Discussions on scala
QUESTION
When I execute run-example SparkPi, for example, it works perfectly, but
when I run spark-shell, it throws these exceptions:
ANSWER
Answered 2022-Jan-07 at 15:11i face the same problem, i think Spark 3.2 is the problem itself
switched to Spark 3.1.2, it works fine
QUESTION
I am new to kafka and zookepper, and I am trying to create a topic, but I am getting this error -
...ANSWER
Answered 2021-Sep-30 at 14:52Read the official Kafka documentation for the version you downloaded, and not some other blog/article that you might have copied the command from
zookeeper is almost never used for CLI commands in current versions
If you run bin\kafka-topics on its own with --help or no options, then it'll print the help messaging that shows all available arguments.
QUESTION
I'm trying to use :~: from Data.Type.Equality to determine type equality at compile time. My expectation is that it behaves along the line of Scala's standard way of determining type equality:
ANSWER
Answered 2022-Mar-16 at 09:24Much as we Haskellers often pretend otherwise, every normal1 type in Haskell is inhabited. That includes data Void, and it includes a :~: b for all a and b. Besides the polite values we usually acknowledge, there is also the bottom value.
undefined :: a is one way of producing the bottom value in any type a. So in particular undefined :: Int :~: Bool, and thus your code is perfectly type correct.
If you want a type equality that simply fails to compile if the equality can't be proved at compile time, then you want a type equality constraint (which is the ~ operator), not the :~: type. You use that like this:
QUESTION
I'm parsing a XML string to convert it to a JsonNode in Scala using a XmlMapper from the Jackson library. I code on a Databricks notebook, so compilation is done on a cloud cluster. When compiling my code I got this error java.lang.NoSuchMethodError: com.fasterxml.jackson.dataformat.xml.XmlMapper.coercionConfigDefaults()Lcom/fasterxml/jackson/databind/cfg/MutableCoercionConfig; with a hundred lines of "at com.databricks. ..."
I maybe forget to import something but for me this is ok (tell me if I'm wrong) :
...ANSWER
Answered 2021-Oct-07 at 12:08Welcome to dependency hell and breaking changes in libraries.
This usually happens, when various lib bring in different version of same lib. In this case it is Jackson.
java.lang.NoSuchMethodError: com.fasterxml.jackson.dataformat.xml.XmlMapper.coercionConfigDefaults()Lcom/fasterxml/jackson/databind/cfg/MutableCoercionConfig; means: One lib probably require Jackson version, which has this method, but on class path is version, which does not yet have this funcion or got removed bcs was deprecated or renamed.
In case like this is good to print dependency tree and check version of Jackson required in libs. And if possible use newer versions of requid libs.
Solution: use libs, which use compatible versions of Jackson lib. No other shortcut possible.
QUESTION
Suppose the following scenario
...ANSWER
Answered 2022-Jan-03 at 14:16I think option 2 is the way to go. But to make it work you have to disable the warning selectively. This is supported starting with Scala 2.13.2 and 2.12.13
QUESTION
I'm using a Databricks cluster version 7.3 LTS with Scala 2.12. This version does use Log4J.
The official docs say that it uses Log4J version 1.2.17. Does this mean I do not have this vulnerability? And if I do, can I manually patch it on the cluster or do I need to upgrade the cluster to the next LTS version?
ANSWER
Answered 2021-Dec-13 at 17:00As you wrote most Databricks clusters use 1.2.17 so it is different version and version affected by vulnerability is not used by Databricks.
Only one problem is when you install different version by yourself on the cluster. Even when you installed affected version you can mitigate the problem by setting Spark config in cluster advanced config as below:
QUESTION
I want to have a simple enumDescr function for any Scala 3 enum.
Example:
...ANSWER
Answered 2021-Oct-27 at 23:45I don't see any common trait shared by all enum companion objects.
You still can invoke the values reflectively, though:
QUESTION
Here is my configuration which worked for more than one year but suddenly stopped working.
...ANSWER
Answered 2021-Aug-16 at 16:16It looks like you trying to run the docker daemon inside your build image docker run.
For Linux, you need to make sure that the current user (the one running sbt), has the proper permissions to run docker commands with some post-install steps.
Maybe you could fix your script by running sudo sbt docker:publishLocal instead?
It is more common now to use a service to have a docker daemon already set up for your builds:
QUESTION
I am trying to start with Spark. I have Hadoop (3.3.1) and Spark (3.2.2) in my library. I have set the SPARK_HOME, PATH, HADOOP_HOME and LD_LIBRARY_PATH to their respective paths. I am also running JDK 17 (echo and -version work fine in the terminal).
Yet, I still get the following error:
...ANSWER
Answered 2021-Oct-25 at 15:41Open your terminal and type this command --> gedit .bashrc
Ensure that you are added the native after lib as shown below
QUESTION
Azure Functions currently supports the following languages: C#, JavaScript, F#, Java, Powershell, Python, Typescript. Scala is not on the list.
How can one use scala to write azure functions?
...ANSWER
Answered 2021-Sep-06 at 13:21Azure Functions supports Java. And it is pretty straight forward to make it working for scala:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install scala
run dist/mkBin in sbt to get a build and the runner scripts in build/quick/bin
run "Build" - "Make Project" in IntelliJ
The Scala community build is an important method for testing Scala releases. A community build can be launched for any Scala commit, even before the commit's PR has been merged. That commit is then used to build a large number of open-source projects from source and run their test suites. To request a community build run on your PR, just ask in a comment on the PR and a Scala team member (probably @SethTisue) will take care of it. (details). Community builds run on the Scala Jenkins instance. The jobs are named ..-integrate-community-build. See the scala/community-builds repo.
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