Samuel Lissner slissner
slissner
/ LogbackException on Spring Boot startup
Created
August 28, 2024 10:31
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| Failed to instantiate [ch.qos.logback.classic.LoggerContext] | |
| Reported exception: | |
| ch.qos.logback.core.LogbackException: Failed to initialize or to run Configurator: ch.qos.logback.classic.util.DefaultJoranConfigurator | |
| at ch.qos.logback.classic.util.ContextInitializer.invokeConfigure(ContextInitializer.java:133) | |
| at ch.qos.logback.classic.util.ContextInitializer.autoConfig(ContextInitializer.java:103) | |
| at ch.qos.logback.classic.util.ContextInitializer.autoConfig(ContextInitializer.java:66) | |
| at ch.qos.logback.classic.spi.LogbackServiceProvider.initializeLoggerContext(LogbackServiceProvider.java:52) | |
| at ch.qos.logback.classic.spi.LogbackServiceProvider.initialize(LogbackServiceProvider.java:41) | |
| at org.slf4j.LoggerFactory.bind(LoggerFactory.java:199) | |
| at org.slf4j.LoggerFactory.performInitialization(LoggerFactory.java:186) |
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| { | |
| "Version": "2012-10-17", | |
| "Statement": [ | |
| { | |
| "Sid": "StsAccess", | |
| "Effect": "Allow", | |
| "Action": [ | |
| "sts:AssumeRole", | |
| "iam:*Role*" | |
| ], |
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| // @flow | |
| import React from 'react'; | |
| import {descending, max} from "d3-array"; | |
| import {entries} from "d3-collection"; | |
| import {select} from "d3-selection"; | |
| import {scaleLinear} from "d3-scale"; | |
| import "./BarChart.scss"; | |
| import ChartTooltip from "./components/ChartTooltip"; |
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| // @flow | |
| import React from 'react'; | |
| import {descending, max} from "d3-array"; | |
| import {entries} from "d3-collection"; | |
| import {scaleLinear} from "d3-scale"; | |
| import "./BarChart.scss"; | |
| import ChartTooltip from "./components/ChartTooltip"; | |
| type Props = { |
slissner
/ kafka_spark_integration_06.scala
Created
November 9, 2017 10:11
Integrating Kafka with Spark Streaming - Example 6
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| stream.foreachRDD { rdd => | |
| val offsetRanges = rdd.asInstanceOf[HasOffsetRanges].offsetRanges | |
| // DO YOUR STUFF with DATA | |
| stream.asInstanceOf[CanCommitOffsets].commitAsync(offsetRanges) | |
| } | |
| } |
slissner
/ kafka_spark_integration_05.scala
Created
November 9, 2017 10:10
Integrating Kafka with Spark Streaming - Example 5
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| streamingContext.start() | |
| streamingContext.awaitTermination() |
slissner
/ kafka_spark_integration_04.scala
Created
November 9, 2017 10:08
Integrating Kafka with Spark Streaming - Example 4
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| stream.map(record => record.value) | |
| .flatMap(line => line.split("[ ,\\.;:\\-]+")) | |
| .map(word => word.toLowerCase) | |
| .filter(_.size > 0) | |
| .map(word => (word, 1)) | |
| .reduceByKey(_ + _) | |
| .repartition(1) | |
| .transform(rdd => rdd.sortBy(-_._2)) | |
| .saveAsTextFiles("./output/words") |
slissner
/ kafka_spark_integration_03.scala
Created
November 9, 2017 10:08
Integrating Kafka with Spark Streaming - Example 3
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| val stream = KafkaUtils.createDirectStream[String, String]( | |
| streamingContext, | |
| PreferConsistent, | |
| Subscribe[String, String](topics, kafkaParams) | |
| ) |
slissner
/ kafka_spark_integration_02.scala
Created
November 9, 2017 10:07
Integrating Kafka with Spark Streaming - Example 2
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| val topics = Array("text") |
slissner
/ kafka_spark_integration_01.scala
Created
November 9, 2017 10:06
Integrating Kafka with Spark Streaming - Example 1
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| val kafkaParams = Map[String, Object]( | |
| "bootstrap.servers" -> "localhost:9092", | |
| "key.deserializer" -> classOf[StringDeserializer], | |
| "value.deserializer" -> classOf[StringDeserializer], | |
| "group.id" -> "kafka_demo_group", | |
| "auto.offset.reset" -> "earliest", | |
| "enable.auto.commit" -> (true: java.lang.Boolean) | |
| ) |