utp | Use | Networking library
kandi X-RAY | utp Summary
kandi X-RAY | utp Summary
Package utp implements uTP, the micro transport protocol as used with Bittorrent. It opts for simplicity and reliability over strict adherence to the (poor) spec.
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QUESTION
Running Android Instrumented Tests, the gradle task :app:connectedDebugAndroidTest
now prints a red WARNING after a successful test run:
ANSWER
Answered 2022-Mar-02 at 13:06Downgrading Gradle worked for me
QUESTION
It was a project that used to work well in the past, but after updating, the following errors appear.
...ANSWER
Answered 2021-Sep-17 at 11:03Add mavenCentral() in Build Script
QUESTION
I have HTML table. I want to auto set the width of table columns , which changes as per the content. For example in below image you can see ID column content has to come in a single line, but even though width is set to auto , its not working here. Am i missing out on something? Please find my code below: CSS:
...ANSWER
Answered 2021-Jul-17 at 17:05Try using white-space: nowrap;
for the id field
QUESTION
I want to use JDBC sink connector with JSON and without schema. They write (source):
If you need to use JSON without Schema Registry for Connect data, you can use the JsonConverter supported with Kafka. The example below shows the JsonConverter key and value properties that are added to the configuration:
key.converter=org.apache.kafka.connect.json.JsonConverter value.converter=org.apache.kafka.connect.json.JsonConverter key.converter.schemas.enable=false value.converter.schemas.enable=false
When the properties key.converter.schemas.enable and value.converter.schemas.enable are set to true, the key or value is not treated as plain JSON, but rather as a composite JSON object containing both an internal schema and the data. When these are enabled for a source connector, both the schema and data are in the composite JSON object. When these are enabled for a sink connector, the schema and data are extracted from the composite JSON object. Note that this implementation never uses Schema Registry.
When the properties key.converter.schemas.enable and value.converter.schemas.enable are set to false (the default), only the data is passed along, without the schema. This reduces the payload overhead for applications that do not need a schema.
I configured connector:
...ANSWER
Answered 2021-Jul-16 at 08:37I want to use JDBC sink connector with JSON and without schema
You cannot do this - the JDBC Sink connector streams to a relational database, and relational databases have schemas :-D The JDBC Sink connector therefore requires a schema to be present for the data.
Depending on where your data is coming from you have different options.
- If it's ingested from Kafka Connect, use a converter that supports schemas (Avro, Protobuf, JSON Schema)
- If it's produced by an application that you have control over, get that application to serialise that data with a schema (Avro, Protobuf, JSON Schema)
- If it's coming from somewhere you don't have control over then you'll need to pre-process the topic to add an explicit schema and write it to a new topic that is then consumed by the JDBC Sink connector.
References & resources:
QUESTION
...ANSWER
Answered 2021-Jun-28 at 05:57You can check for the browser event and track them using window event listeners. Something like :
QUESTION
I have a dataset that I am trying to loop through and filter for only the "exchanges" that I am looking for. I've tried any()
but it doesn't seem to be working. Can someone please let me know what I am doing incorrectly?
My desired output is a list that contains "NASDAQ"
or "NYSE"
.
ANSWER
Answered 2021-May-29 at 15:23The problem with your original code is that the builtin any
function is meant to take a sequence of Boolean values and return True if any of them are True, but you passed it a list of exchanges.
Instead, you should check whether each exchange is present in the data, and use any
to figure out if this was True for one or more exchanges:
QUESTION
I need to create two dataframes to operate my data and I have thinked about doing it with pandas.
This is the provided data:
...ANSWER
Answered 2021-Jan-12 at 18:47I make a file with your text. and here's the code. you can repeat it for df_func. enjoy.
QUESTION
I have a df like below :-
...ANSWER
Answered 2020-Dec-01 at 00:33You can use pandas.explode() function:
QUESTION
I upload files to S3:my-bucket/utp with a presignedUrl. When the object is created s3 triggers an event and my lambda function is called.
I then call getObject so I can hash the contents to make sure that this new upload is not a copy of a file already in my-bucket. If it is a copy I delete it. At least thats what I want to do.
Here is my delete code:
...ANSWER
Answered 2020-Jun-23 at 16:55It turns out that you can do a getObject and a headObject sdk call without your secretAccessKey but you can not do a deleteObject.
One would think that could be handled with a simple error message but it seems that is not the case. We keep our credentials in secret manager. I added this method:
QUESTION
Every time I test my code it produces a different hash even though it is the same file/object from S3. Here is my code:
...ANSWER
Answered 2020-Jun-23 at 11:47I give credit to @keithRozario. His comment made me give it a try.
Once I only hashed the body the hash remained constant. Here is the code:
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