bambam | generate capnproto schema from your golang source files | Wrapper library

Okay so I have this array of objects which are dynamic. It can have 100 objects inside or only one. I have been rendering html from server side by iterating through the array. That part works fine but what I want to do is I want to insert a piece of string to the first iteration only. Which means I want the value of power to be in the first iteration, which is Steve Rogers and I want the value of power to be in the first td just before the anchor tag.

Please note again that arr can have any amount of objects.

Here's the code:

I want to access the user object(contains attributes like name, age, gender) returned from the second fetch but whenever I do so I get an unexpected object. I get a 200 response so I don't know what I'm missing. steps:

1. Get the token when the user signs in

2. Use the token to login and retrieve the user's data.

   ...

I have a 30MB .txt file containing random strings like:

Sorry I am new to javascript, but I am currently attempting to sort my JSON object according to attribute but right now it does not sort.

For example: I try to do this:

I created a server side plugin and I'm getting

context.app.handleServerError is not a function

// hanlde-server-error.js

it seems like Apache Flink would not handle well two events with the same timestamp in certain scenarios.

According to the docs a Watermark of t indicates any new events will have a timestamp strictly greater than t. Unless you can completely discard the possibility of two events having the same timestamp then you will not be safe to ever emit a Watermark of t. Enforcing distinct timestamps also limits the number of events per second a system can process to 1000.

Is this really an issue in Apache Flink or is there a workaround?

For those of you that'd like a concrete example to play with, my use case is to build a hourly aggregated rolling word count for an event time ordered stream. For the data sample that I copied in a file (notice the duplicate 9):

The text book example of stream processing is a timestamped word count program. With the following data sample

I have a data stream in JSON format that my script accesses from an internal website. My script converts the JSON to a perl hash using JSON.pm (I'm using perl 5.10.1 on RHEL 6.9)

Within this hash are multiple nested hashes, and nested arrays, some of which are nested within other hashes/arrays inside of the big hash.

I need to walk the entire structure of the hash, including all of the arrays and nested hashes, and remove any keys anywhere in the entire structure, which share the same name as any other key (only for a specific key name though).

Additionally, because of how the data is structured, some nested hashes have ONLY keys that are now deleted, leaving the value for some keys as an empty hash. I also need to remove those keys which have an empty hash for its value

Here is my data after its conversion to perl:

I'm struggling with something that should be very simple. I have an array of objects. I need to remove duplicate from this array based on the id property. So I want to create a Set containing my ids, like this: