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#!/bin/bash

# Counters for Maven and Gradle projects
maven_count=0
gradle_count=0

echo "Starting to clean projects..."

# Recursively find directories containing pom.xml and run 'mvn clean'
while IFS= read -r -d '' file; do

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#!/bin/bash

# Clone the repository
git clone https://github.com/startreedata/pinot-quickstart 

# Extract the directory name and change to that directory
repo_name=$(basename https://github.com/startreedata/pinot-quickstart .git)
cd $repo_name

# Run the make command

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Hello, Mermaid!

First Section

classDiagram
    class Item {
      <<interface>>

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#!/bin/bash

# Set the path to your movies.json file
MOVIES_FILE="${MOVIES_FILE:-/app/movies.json}"

# Set the Kafka topic to produce to
KAFKA_TOPIC="${KAFKA_TOPIC:-your_kafka_topic}"
KAFKA_TOPIC_PARTITIONS="${KAFKA_TOPIC_PARTITIONS:-10}"

# Set the Kafka broker address

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---
apiVersion: v1
kind: Namespace
metadata:
  name: kuma-system
  labels:
    kuma.io/system-namespace: "true"
---
apiVersion: v1

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Workshop: Service Mesh for Java Developers

Requirements for Attendees

To make the most out of the "Service Mesh for Java developers" workshop, attendees are expected to meet the following requirements:

1. Basic knowledge of Java development: Attendees should be familiar with Java programming concepts and have experience working with Java-based frameworks such as Spring Boot and Micronaut.

2. Familiarity with containerization:

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#!/bin/bash
exec 3<>/dev/udp/"$1"/"$2"
echo -e "\n" >&3
cat <&3
exit 

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# https://unix.stackexchange.com/a/10065
# if stdout is a terminal
if test -t 1; then
    # see if it supports colors
    ncolors=$(tput colors)
    if test -n "$ncolors" && test $ncolors -ge 8; then
        bold="$(tput bold)"
        underline="$(tput smul)"
        standout="$(tput smso)"
        normal="$(tput sgr0)"

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package io.confluent.developer.iqrest;

import org.apache.kafka.common.serialization.Serde;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StoreQueryParameters;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.kstream.Consumed;
import org.apache.kafka.streams.kstream.Materialized;
import org.apache.kafka.streams.state.QueryableStoreTypes;

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5/13 #LiveStreams notes

9:47 put link to prep episode

flow

2:06 show starts! 7:52 intro 10:03 NEWS! 10:35 [blog] smarter rebalances in Kafka 12:55 Introducing Meetup Hub