json4s | least 6 json libraries for scala , not counting the java | JSON Processing library
kandi X-RAY | json4s Summary
kandi X-RAY | json4s Summary
[Join the chat at At this moment there are at least 6 json libraries for scala, not counting the java json libraries. All these libraries have a very similar AST. This project aims to provide a single AST to be used by other scala json libraries. At this moment the approach taken to working with the AST has been taken from lift-json and the native package is in fact lift-json but outside of the lift project.
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QUESTION
In my application config i have defined the following properties:
...ANSWER
Answered 2022-Feb-16 at 13:12Acording to this answer: https://stackoverflow.com/a/51236918/16651073 tomcat falls back to default logging if it can resolve the location
Can you try to save the properties without the spaces.
Like this:
logging.file.name=application.logs
QUESTION
TLDR:
- Is committing produced message's offset as consumed (even if it wasn't) expected behavior for auto-commit enabled Kafka clients? (for the applications that consuming and producing the same topic)
Detailed explanation:
I have a simple scala application that has an Akka actor which consumes messages from a Kafka topic and produces the message to the same topic if any exception occurs during message processing.
...ANSWER
Answered 2022-Jan-31 at 17:58As far as Kafka is concerned, the message is consumed as soon as Alpakka Kafka reads it from Kafka.
This is before the actor inside of Alpakka Kafka has emitted it to a downstream consumer for application level processing.
Kafka auto-commit (enable.auto.commit = true
) will thus result in the offset being committed before the message has been sent to your actor.
The Kafka docs on offset management do (as of this writing) refer to enable.auto.commit
as having an at-least-once semantic, but as noted in my first paragraph, this is an at-least-once delivery semantic, not an at-least-once processing semantic. The latter is an application level concern, and accomplishing that requires delaying the offset commit until processing has completed.
The Alpakka Kafka docs have an involved discussion about at-least-once processing: in this case, at-least-once processing will likely entail introducing manual offset committing and replacing mapAsyncUnordered
with mapAsync
(since mapAsyncUnordered
in conjunction with manual offset committing means that your application can only guarantee that a message from Kafka gets processed at-least-zero times).
In Alpakka Kafka, a broad taxonomy of message processing guarantees:
- hard at-most-once:
Consumer.atMostOnceSource
- commit after every message before processing - soft at-most-once:
enable.auto.commit = true
- "soft" because the commits are actually batched for increased throughput, so this is really "at-most-once, except when it's at-least-once" - hard at-least-once: manual commit only after all processing has been verified to succeed
- soft at-least-once: manual commit after some processing has been completed (i.e. "at-least-once, except when it's at-most-once")
- exactly-once: not possible in general, but if your processing has the means to dedupe and thus make duplicates idempotent, you can have effectively-once
QUESTION
json4s used in scalatra application throws "com.fasterxml.jackson.databind.JsonMappingException: No content to map due to end-of-input" when a POST request through a browser.
I have a ScalatraServlet to serve FORM submit from browser. Here is the Servlet.
...ANSWER
Answered 2021-Nov-23 at 22:50Looks like your code expects that a request body is JSON but a browser form submits param_name1=param_value1¶m_name2=param_value2
as a request body. If you have a field named json
that contains JSON in your form, probably, you can get a JSON as follows:
QUESTION
For the project, I need ignite-spark dependency to be added, but adding the below line and Sync is giving error message Modules were resolved with conflicting cross-version suffixes in ProjectRef.
libraryDependencies += "org.apache.ignite" % "ignite-spark_2.10" % "2.3.0"
Also tried
libraryDependencies += "org.apache.ignite" %% "ignite-spark" % "2.3.0"
Scala version: 2.11.12 Spark:2.3.0 Ignite: 2.10
build.sbt
...ANSWER
Answered 2021-Sep-17 at 13:24Looking at Maven Repository.
We can see that the 2.3.0
of ignite-spark only supports Scala 2.10
(and thus also depends on older versions of Spark).
You may want to upgrade to at least 2.7.6
which (only) supports Scala 2.11
and is based on Spark 2.3
; which is the same version you were using.
QUESTION
I recently updated the Keycloak client libraries used by by project to version 14.0.0. I have a test is failing with the following:
...ANSWER
Answered 2021-Jul-12 at 20:26Indeed you have a clash in RestEasy (transitive) dependencies in your project:
QUESTION
I have sample tests used from scalatest.org site and maven configuration again as mentioned in reference documents on scalatest.org, but whenever I run mvn clean install
it throws the compile time error for scala test(s).
Sharing the pom.xml
below
ANSWER
Answered 2021-Jun-14 at 07:54You are using scalatest
version 2.2.6
:
QUESTION
I've got deeply nested JSON parsers (using json4s.jackson
) that I'm trying to simplify using case classes.
My problem is... some of the fields start with numbers, but scala cannot have an arg name that starts with a numeric character.
Example:
...ANSWER
Answered 2021-May-06 at 05:11Scala can use any string as a variable name, but you may have to quote it with backticks:
QUESTION
My dummy flink job
...ANSWER
Answered 2021-Mar-28 at 23:17So, if I understand correctly You want to replicate Your message for every label
in labels
. I think the simplest idea is to simply create another class, say MyDataSimple
that will only have single label
and then use FlatMapFunction
to map MyData
to MyDataSimple
like:
QUESTION
I'm using json4s
for dealing with Json responses from http responses. I was earlier using Await
but I'm now switching to use Future
.
I have a function like:
...ANSWER
Answered 2021-Mar-29 at 05:02The error which you are getting means that the read
method can accept an argument of one of these types:
java.io.Reader
org.json4s.JsonInput
String
This line works because you are passing a String
to read
:
QUESTION
I am using the requests-scala library to make an HTTP call out to an external API. My spark program workflow is like this:
(JSON_FILE:INPUT) --> (SPARK) --> (HTTP-API) --> (KAFKA:OUTPUT)
When I run it, I get the following error:
...ANSWER
Answered 2021-Feb-02 at 22:12Since part of sesssh
isn't serializable, it can't be used to define a UDF.
You'll have to use a different requests.Session()
for every call.
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