GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.
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import java.util.ArrayList; | |
import java.util.Iterator; | |
import java.util.List; | |
import java.util.concurrent.Callable; | |
import java.util.concurrent.ExecutorService; | |
import java.util.concurrent.Future; | |
import java.util.concurrent.LinkedBlockingQueue; | |
import java.util.concurrent.ThreadPoolExecutor; | |
import java.util.concurrent.TimeUnit; |
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/var/lib/docker/containers/*/*-json.log { | |
dateext | |
daily | |
rotate 365 | |
compress | |
delaycompress | |
missingok | |
} |
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package org.jboss.fuse.camel; | |
import java.util.ArrayList; | |
import java.util.Date; | |
import java.util.List; | |
import org.apache.camel.Exchange; | |
import org.apache.camel.ExchangePattern; | |
import org.apache.camel.LoggingLevel; | |
import org.apache.camel.Processor; |
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package org.jboss.fuse.camel; | |
import java.util.Date; | |
import org.apache.camel.Exchange; | |
import org.apache.camel.Processor; | |
import org.apache.camel.builder.RouteBuilder; | |
import org.apache.camel.main.Main; | |
import org.slf4j.Logger; | |
import org.slf4j.LoggerFactory; |
Because pointers can be ugh
To understand a pointer, let's review "regular" variables first. If you're familiar with a programming language without pointers like JavaScript, this is what you think when you hear "variable".
When declaring a variable by identifier (or name), the variable is synonymous with its value.
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#!/usr/bin/env bash | |
# | |
# gh-dl-release! It works! | |
# | |
# This script downloads an asset from latest or specific Github release of a | |
# private repo. Feel free to extract more of the variables into command line | |
# parameters. | |
# | |
# PREREQUISITES | |
# |
Kafka acts as a kind of write-ahead log (WAL) that records messages to a persistent store (disk) and allows subscribers to read and apply these changes to their own stores in a system appropriate time-frame.
Terminology:
- Producers send messages to brokers
- Consumers read messages from brokers
- Messages are sent to a topic
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import org.apache.kafka.clients.consumer.ConsumerRecord; | |
import org.apache.kafka.clients.consumer.ConsumerRecords; | |
import org.apache.kafka.clients.consumer.KafkaConsumer; | |
import org.apache.kafka.clients.consumer.OffsetAndMetadata; | |
import org.apache.kafka.clients.producer.ProducerConfig; | |
import org.apache.kafka.common.TopicPartition; | |
import org.apache.kafka.common.serialization.ByteArrayDeserializer; | |
import java.util.*; |
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