Apache Spark Beispiele

main
Marcus Kessel 2024-04-24 15:50:30 +02:00
parent db7de9cc8f
commit 18147cd7fe
22 changed files with 9131 additions and 6 deletions

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@ -53,7 +53,7 @@ public class SecondarySorting {
st.nextToken(); // ignore day st.nextToken(); // ignore day
String temp = st.nextToken(); String temp = st.nextToken();
System.out.println(new Text(yearMonth + ":" + "000".substring(0, 3-temp.length()) + temp).toString() + " -> " + value); System.out.println("Mapper -> " + new Text(yearMonth + ":" + "000".substring(0, 3-temp.length()) + temp).toString() + " -> " + value);
context.write(new Text(yearMonth + ":" + "000".substring(0, 3-temp.length()) + temp), value); context.write(new Text(yearMonth + ":" + "000".substring(0, 3-temp.length()) + temp), value);
} }
} }
@ -84,11 +84,17 @@ public class SecondarySorting {
public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException { public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
StringBuilder sb = new StringBuilder(); StringBuilder sb = new StringBuilder();
int c = 0;
System.out.println("blub");
for (Text val : values) { for (Text val : values) {
String s = val.toString(); String s = val.toString();
System.out.println(s); // note that key changes in each iteration
// because of MyGroupingComparator (i.e., groups keys)
System.out.println("Reducer -> " + key + " = " + s);
sb.append(s.substring(s.lastIndexOf(",") + 1, s.length()).trim() + " "); sb.append(s.substring(s.lastIndexOf(",") + 1, s.length()).trim() + " ");
c++;
} }
System.out.println("Reducer (#values = " + c + ")");
result.set(sb.toString()); result.set(sb.toString());

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@ -22,6 +22,9 @@ public class WordCountVL {
private Text word = new Text(); private Text word = new Text();
public void map(Object key, Text value, Context context) throws IOException, InterruptedException { public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
//System.out.println(key);
//System.out.println(value);
String[] woerter = value.toString().split("\\W+"); String[] woerter = value.toString().split("\\W+");
for (String wort: woerter) { for (String wort: woerter) {
@ -52,7 +55,7 @@ public class WordCountVL {
public static class DoNothingReducer extends Reducer<Text, IntWritable, Text, IntWritable> { public static class DoNothingReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
context.write(key, values.iterator().next()); context.write(key, values.iterator().next()); // nur ein Wert, siehe IdentityMapper.class
} }
} }
@ -67,7 +70,7 @@ public class WordCountVL {
job.setMapperClass(TokenizerMapper.class); job.setMapperClass(TokenizerMapper.class);
job.setCombinerClass(IntSumReducer.class); // reduce lokal bei den Mappern job.setCombinerClass(IntSumReducer.class); // reduce lokal bei den Mappern
job.setReducerClass(IntSumReducer.class); // reduce nach Verteilung bei den Reducern job.setReducerClass(IntSumReducer.class); // reduce nach Verteilung bei den Reducern
job.setNumReduceTasks(4); job.setNumReduceTasks(4); // 4 Tasks parallel
job.setOutputKeyClass(Text.class); job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class); job.setOutputValueClass(IntWritable.class);
@ -81,11 +84,11 @@ public class WordCountVL {
// --- Ende Job 1 --- // --- Ende Job 1 ---
job = Job.getInstance(conf, "word count sort"); job = Job.getInstance(conf, "word count sort"); // natural ordering of keys
job.setJarByClass(WordCountVL.class); job.setJarByClass(WordCountVL.class);
job.setMapperClass(IdentityMapper.class); job.setMapperClass(IdentityMapper.class);
job.setReducerClass(DoNothingReducer.class); job.setReducerClass(DoNothingReducer.class);
job.setNumReduceTasks(1); job.setNumReduceTasks(1); // 1 Task parallel
job.setOutputKeyClass(Text.class); job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class); job.setOutputValueClass(IntWritable.class);

41
Spark-It/.gitignore vendored 100644
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@ -0,0 +1,41 @@
# ---> Eclipse
*.pydevproject
.metadata
.gradle
bin/
tmp/
*.tmp
*.bak
*.swp
*~.nib
local.properties
.settings/
.loadpath
# Eclipse Core
.project
# External tool builders
.externalToolBuilders/
# Locally stored "Eclipse launch configurations"
*.launch
# CDT-specific
.cproject
# JDT-specific (Eclipse Java Development Tools)
.classpath
# Java annotation processor (APT)
.factorypath
# PDT-specific
.buildpath
# sbteclipse plugin
.target
# TeXlipse plugin
.texlipse

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@ -0,0 +1,2 @@
# Spark-It

Binary file not shown.

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@ -0,0 +1,18 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
distributionUrl=https://repo.maven.apache.org/maven2/org/apache/maven/apache-maven/3.9.1/apache-maven-3.9.1-bin.zip
wrapperUrl=https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.2.0/maven-wrapper-3.2.0.jar

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@ -0,0 +1,20 @@
# VM Options
Java 17 (see https://stackoverflow.com/questions/73465937/apache-spark-3-3-0-breaks-on-java-17-with-cannot-access-class-sun-nio-ch-direct)
```shell
--add-opens=java.base/java.lang=ALL-UNNAMED
--add-opens=java.base/java.lang.invoke=ALL-UNNAMED
--add-opens=java.base/java.lang.reflect=ALL-UNNAMED
--add-opens=java.base/java.io=ALL-UNNAMED
--add-opens=java.base/java.net=ALL-UNNAMED
--add-opens=java.base/java.nio=ALL-UNNAMED
--add-opens=java.base/java.util=ALL-UNNAMED
--add-opens=java.base/java.util.concurrent=ALL-UNNAMED
--add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED
--add-opens=java.base/sun.nio.ch=ALL-UNNAMED
--add-opens=java.base/sun.nio.cs=ALL-UNNAMED
--add-opens=java.base/sun.security.action=ALL-UNNAMED
--add-opens=java.base/sun.util.calendar=ALL-UNNAMED
--add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED
```

308
Spark-It/spark-it/mvnw vendored 100755
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@ -0,0 +1,308 @@
#!/bin/sh
# ----------------------------------------------------------------------------
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# ----------------------------------------------------------------------------
# ----------------------------------------------------------------------------
# Apache Maven Wrapper startup batch script, version 3.2.0
#
# Required ENV vars:
# ------------------
# JAVA_HOME - location of a JDK home dir
#
# Optional ENV vars
# -----------------
# MAVEN_OPTS - parameters passed to the Java VM when running Maven
# e.g. to debug Maven itself, use
# set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000
# MAVEN_SKIP_RC - flag to disable loading of mavenrc files
# ----------------------------------------------------------------------------
if [ -z "$MAVEN_SKIP_RC" ] ; then
if [ -f /usr/local/etc/mavenrc ] ; then
. /usr/local/etc/mavenrc
fi
if [ -f /etc/mavenrc ] ; then
. /etc/mavenrc
fi
if [ -f "$HOME/.mavenrc" ] ; then
. "$HOME/.mavenrc"
fi
fi
# OS specific support. $var _must_ be set to either true or false.
cygwin=false;
darwin=false;
mingw=false
case "$(uname)" in
CYGWIN*) cygwin=true ;;
MINGW*) mingw=true;;
Darwin*) darwin=true
# Use /usr/libexec/java_home if available, otherwise fall back to /Library/Java/Home
# See https://developer.apple.com/library/mac/qa/qa1170/_index.html
if [ -z "$JAVA_HOME" ]; then
if [ -x "/usr/libexec/java_home" ]; then
JAVA_HOME="$(/usr/libexec/java_home)"; export JAVA_HOME
else
JAVA_HOME="/Library/Java/Home"; export JAVA_HOME
fi
fi
;;
esac
if [ -z "$JAVA_HOME" ] ; then
if [ -r /etc/gentoo-release ] ; then
JAVA_HOME=$(java-config --jre-home)
fi
fi
# For Cygwin, ensure paths are in UNIX format before anything is touched
if $cygwin ; then
[ -n "$JAVA_HOME" ] &&
JAVA_HOME=$(cygpath --unix "$JAVA_HOME")
[ -n "$CLASSPATH" ] &&
CLASSPATH=$(cygpath --path --unix "$CLASSPATH")
fi
# For Mingw, ensure paths are in UNIX format before anything is touched
if $mingw ; then
[ -n "$JAVA_HOME" ] && [ -d "$JAVA_HOME" ] &&
JAVA_HOME="$(cd "$JAVA_HOME" || (echo "cannot cd into $JAVA_HOME."; exit 1); pwd)"
fi
if [ -z "$JAVA_HOME" ]; then
javaExecutable="$(which javac)"
if [ -n "$javaExecutable" ] && ! [ "$(expr "\"$javaExecutable\"" : '\([^ ]*\)')" = "no" ]; then
# readlink(1) is not available as standard on Solaris 10.
readLink=$(which readlink)
if [ ! "$(expr "$readLink" : '\([^ ]*\)')" = "no" ]; then
if $darwin ; then
javaHome="$(dirname "\"$javaExecutable\"")"
javaExecutable="$(cd "\"$javaHome\"" && pwd -P)/javac"
else
javaExecutable="$(readlink -f "\"$javaExecutable\"")"
fi
javaHome="$(dirname "\"$javaExecutable\"")"
javaHome=$(expr "$javaHome" : '\(.*\)/bin')
JAVA_HOME="$javaHome"
export JAVA_HOME
fi
fi
fi
if [ -z "$JAVACMD" ] ; then
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD="$JAVA_HOME/jre/sh/java"
else
JAVACMD="$JAVA_HOME/bin/java"
fi
else
JAVACMD="$(\unset -f command 2>/dev/null; \command -v java)"
fi
fi
if [ ! -x "$JAVACMD" ] ; then
echo "Error: JAVA_HOME is not defined correctly." >&2
echo " We cannot execute $JAVACMD" >&2
exit 1
fi
if [ -z "$JAVA_HOME" ] ; then
echo "Warning: JAVA_HOME environment variable is not set."
fi
# traverses directory structure from process work directory to filesystem root
# first directory with .mvn subdirectory is considered project base directory
find_maven_basedir() {
if [ -z "$1" ]
then
echo "Path not specified to find_maven_basedir"
return 1
fi
basedir="$1"
wdir="$1"
while [ "$wdir" != '/' ] ; do
if [ -d "$wdir"/.mvn ] ; then
basedir=$wdir
break
fi
# workaround for JBEAP-8937 (on Solaris 10/Sparc)
if [ -d "${wdir}" ]; then
wdir=$(cd "$wdir/.." || exit 1; pwd)
fi
# end of workaround
done
printf '%s' "$(cd "$basedir" || exit 1; pwd)"
}
# concatenates all lines of a file
concat_lines() {
if [ -f "$1" ]; then
# Remove \r in case we run on Windows within Git Bash
# and check out the repository with auto CRLF management
# enabled. Otherwise, we may read lines that are delimited with
# \r\n and produce $'-Xarg\r' rather than -Xarg due to word
# splitting rules.
tr -s '\r\n' ' ' < "$1"
fi
}
log() {
if [ "$MVNW_VERBOSE" = true ]; then
printf '%s\n' "$1"
fi
}
BASE_DIR=$(find_maven_basedir "$(dirname "$0")")
if [ -z "$BASE_DIR" ]; then
exit 1;
fi
MAVEN_PROJECTBASEDIR=${MAVEN_BASEDIR:-"$BASE_DIR"}; export MAVEN_PROJECTBASEDIR
log "$MAVEN_PROJECTBASEDIR"
##########################################################################################
# Extension to allow automatically downloading the maven-wrapper.jar from Maven-central
# This allows using the maven wrapper in projects that prohibit checking in binary data.
##########################################################################################
wrapperJarPath="$MAVEN_PROJECTBASEDIR/.mvn/wrapper/maven-wrapper.jar"
if [ -r "$wrapperJarPath" ]; then
log "Found $wrapperJarPath"
else
log "Couldn't find $wrapperJarPath, downloading it ..."
if [ -n "$MVNW_REPOURL" ]; then
wrapperUrl="$MVNW_REPOURL/org/apache/maven/wrapper/maven-wrapper/3.2.0/maven-wrapper-3.2.0.jar"
else
wrapperUrl="https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.2.0/maven-wrapper-3.2.0.jar"
fi
while IFS="=" read -r key value; do
# Remove '\r' from value to allow usage on windows as IFS does not consider '\r' as a separator ( considers space, tab, new line ('\n'), and custom '=' )
safeValue=$(echo "$value" | tr -d '\r')
case "$key" in (wrapperUrl) wrapperUrl="$safeValue"; break ;;
esac
done < "$MAVEN_PROJECTBASEDIR/.mvn/wrapper/maven-wrapper.properties"
log "Downloading from: $wrapperUrl"
if $cygwin; then
wrapperJarPath=$(cygpath --path --windows "$wrapperJarPath")
fi
if command -v wget > /dev/null; then
log "Found wget ... using wget"
[ "$MVNW_VERBOSE" = true ] && QUIET="" || QUIET="--quiet"
if [ -z "$MVNW_USERNAME" ] || [ -z "$MVNW_PASSWORD" ]; then
wget $QUIET "$wrapperUrl" -O "$wrapperJarPath" || rm -f "$wrapperJarPath"
else
wget $QUIET --http-user="$MVNW_USERNAME" --http-password="$MVNW_PASSWORD" "$wrapperUrl" -O "$wrapperJarPath" || rm -f "$wrapperJarPath"
fi
elif command -v curl > /dev/null; then
log "Found curl ... using curl"
[ "$MVNW_VERBOSE" = true ] && QUIET="" || QUIET="--silent"
if [ -z "$MVNW_USERNAME" ] || [ -z "$MVNW_PASSWORD" ]; then
curl $QUIET -o "$wrapperJarPath" "$wrapperUrl" -f -L || rm -f "$wrapperJarPath"
else
curl $QUIET --user "$MVNW_USERNAME:$MVNW_PASSWORD" -o "$wrapperJarPath" "$wrapperUrl" -f -L || rm -f "$wrapperJarPath"
fi
else
log "Falling back to using Java to download"
javaSource="$MAVEN_PROJECTBASEDIR/.mvn/wrapper/MavenWrapperDownloader.java"
javaClass="$MAVEN_PROJECTBASEDIR/.mvn/wrapper/MavenWrapperDownloader.class"
# For Cygwin, switch paths to Windows format before running javac
if $cygwin; then
javaSource=$(cygpath --path --windows "$javaSource")
javaClass=$(cygpath --path --windows "$javaClass")
fi
if [ -e "$javaSource" ]; then
if [ ! -e "$javaClass" ]; then
log " - Compiling MavenWrapperDownloader.java ..."
("$JAVA_HOME/bin/javac" "$javaSource")
fi
if [ -e "$javaClass" ]; then
log " - Running MavenWrapperDownloader.java ..."
("$JAVA_HOME/bin/java" -cp .mvn/wrapper MavenWrapperDownloader "$wrapperUrl" "$wrapperJarPath") || rm -f "$wrapperJarPath"
fi
fi
fi
fi
##########################################################################################
# End of extension
##########################################################################################
# If specified, validate the SHA-256 sum of the Maven wrapper jar file
wrapperSha256Sum=""
while IFS="=" read -r key value; do
case "$key" in (wrapperSha256Sum) wrapperSha256Sum=$value; break ;;
esac
done < "$MAVEN_PROJECTBASEDIR/.mvn/wrapper/maven-wrapper.properties"
if [ -n "$wrapperSha256Sum" ]; then
wrapperSha256Result=false
if command -v sha256sum > /dev/null; then
if echo "$wrapperSha256Sum $wrapperJarPath" | sha256sum -c > /dev/null 2>&1; then
wrapperSha256Result=true
fi
elif command -v shasum > /dev/null; then
if echo "$wrapperSha256Sum $wrapperJarPath" | shasum -a 256 -c > /dev/null 2>&1; then
wrapperSha256Result=true
fi
else
echo "Checksum validation was requested but neither 'sha256sum' or 'shasum' are available."
echo "Please install either command, or disable validation by removing 'wrapperSha256Sum' from your maven-wrapper.properties."
exit 1
fi
if [ $wrapperSha256Result = false ]; then
echo "Error: Failed to validate Maven wrapper SHA-256, your Maven wrapper might be compromised." >&2
echo "Investigate or delete $wrapperJarPath to attempt a clean download." >&2
echo "If you updated your Maven version, you need to update the specified wrapperSha256Sum property." >&2
exit 1
fi
fi
MAVEN_OPTS="$(concat_lines "$MAVEN_PROJECTBASEDIR/.mvn/jvm.config") $MAVEN_OPTS"
# For Cygwin, switch paths to Windows format before running java
if $cygwin; then
[ -n "$JAVA_HOME" ] &&
JAVA_HOME=$(cygpath --path --windows "$JAVA_HOME")
[ -n "$CLASSPATH" ] &&
CLASSPATH=$(cygpath --path --windows "$CLASSPATH")
[ -n "$MAVEN_PROJECTBASEDIR" ] &&
MAVEN_PROJECTBASEDIR=$(cygpath --path --windows "$MAVEN_PROJECTBASEDIR")
fi
# Provide a "standardized" way to retrieve the CLI args that will
# work with both Windows and non-Windows executions.
MAVEN_CMD_LINE_ARGS="$MAVEN_CONFIG $*"
export MAVEN_CMD_LINE_ARGS
WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain
# shellcheck disable=SC2086 # safe args
exec "$JAVACMD" \
$MAVEN_OPTS \
$MAVEN_DEBUG_OPTS \
-classpath "$MAVEN_PROJECTBASEDIR/.mvn/wrapper/maven-wrapper.jar" \
"-Dmaven.multiModuleProjectDirectory=${MAVEN_PROJECTBASEDIR}" \
${WRAPPER_LAUNCHER} $MAVEN_CONFIG "$@"

205
Spark-It/spark-it/mvnw.cmd vendored 100644
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@ -0,0 +1,205 @@
@REM ----------------------------------------------------------------------------
@REM Licensed to the Apache Software Foundation (ASF) under one
@REM or more contributor license agreements. See the NOTICE file
@REM distributed with this work for additional information
@REM regarding copyright ownership. The ASF licenses this file
@REM to you under the Apache License, Version 2.0 (the
@REM "License"); you may not use this file except in compliance
@REM with the License. You may obtain a copy of the License at
@REM
@REM http://www.apache.org/licenses/LICENSE-2.0
@REM
@REM Unless required by applicable law or agreed to in writing,
@REM software distributed under the License is distributed on an
@REM "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
@REM KIND, either express or implied. See the License for the
@REM specific language governing permissions and limitations
@REM under the License.
@REM ----------------------------------------------------------------------------
@REM ----------------------------------------------------------------------------
@REM Apache Maven Wrapper startup batch script, version 3.2.0
@REM
@REM Required ENV vars:
@REM JAVA_HOME - location of a JDK home dir
@REM
@REM Optional ENV vars
@REM MAVEN_BATCH_ECHO - set to 'on' to enable the echoing of the batch commands
@REM MAVEN_BATCH_PAUSE - set to 'on' to wait for a keystroke before ending
@REM MAVEN_OPTS - parameters passed to the Java VM when running Maven
@REM e.g. to debug Maven itself, use
@REM set MAVEN_OPTS=-Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=y,address=8000
@REM MAVEN_SKIP_RC - flag to disable loading of mavenrc files
@REM ----------------------------------------------------------------------------
@REM Begin all REM lines with '@' in case MAVEN_BATCH_ECHO is 'on'
@echo off
@REM set title of command window
title %0
@REM enable echoing by setting MAVEN_BATCH_ECHO to 'on'
@if "%MAVEN_BATCH_ECHO%" == "on" echo %MAVEN_BATCH_ECHO%
@REM set %HOME% to equivalent of $HOME
if "%HOME%" == "" (set "HOME=%HOMEDRIVE%%HOMEPATH%")
@REM Execute a user defined script before this one
if not "%MAVEN_SKIP_RC%" == "" goto skipRcPre
@REM check for pre script, once with legacy .bat ending and once with .cmd ending
if exist "%USERPROFILE%\mavenrc_pre.bat" call "%USERPROFILE%\mavenrc_pre.bat" %*
if exist "%USERPROFILE%\mavenrc_pre.cmd" call "%USERPROFILE%\mavenrc_pre.cmd" %*
:skipRcPre
@setlocal
set ERROR_CODE=0
@REM To isolate internal variables from possible post scripts, we use another setlocal
@setlocal
@REM ==== START VALIDATION ====
if not "%JAVA_HOME%" == "" goto OkJHome
echo.
echo Error: JAVA_HOME not found in your environment. >&2
echo Please set the JAVA_HOME variable in your environment to match the >&2
echo location of your Java installation. >&2
echo.
goto error
:OkJHome
if exist "%JAVA_HOME%\bin\java.exe" goto init
echo.
echo Error: JAVA_HOME is set to an invalid directory. >&2
echo JAVA_HOME = "%JAVA_HOME%" >&2
echo Please set the JAVA_HOME variable in your environment to match the >&2
echo location of your Java installation. >&2
echo.
goto error
@REM ==== END VALIDATION ====
:init
@REM Find the project base dir, i.e. the directory that contains the folder ".mvn".
@REM Fallback to current working directory if not found.
set MAVEN_PROJECTBASEDIR=%MAVEN_BASEDIR%
IF NOT "%MAVEN_PROJECTBASEDIR%"=="" goto endDetectBaseDir
set EXEC_DIR=%CD%
set WDIR=%EXEC_DIR%
:findBaseDir
IF EXIST "%WDIR%"\.mvn goto baseDirFound
cd ..
IF "%WDIR%"=="%CD%" goto baseDirNotFound
set WDIR=%CD%
goto findBaseDir
:baseDirFound
set MAVEN_PROJECTBASEDIR=%WDIR%
cd "%EXEC_DIR%"
goto endDetectBaseDir
:baseDirNotFound
set MAVEN_PROJECTBASEDIR=%EXEC_DIR%
cd "%EXEC_DIR%"
:endDetectBaseDir
IF NOT EXIST "%MAVEN_PROJECTBASEDIR%\.mvn\jvm.config" goto endReadAdditionalConfig
@setlocal EnableExtensions EnableDelayedExpansion
for /F "usebackq delims=" %%a in ("%MAVEN_PROJECTBASEDIR%\.mvn\jvm.config") do set JVM_CONFIG_MAVEN_PROPS=!JVM_CONFIG_MAVEN_PROPS! %%a
@endlocal & set JVM_CONFIG_MAVEN_PROPS=%JVM_CONFIG_MAVEN_PROPS%
:endReadAdditionalConfig
SET MAVEN_JAVA_EXE="%JAVA_HOME%\bin\java.exe"
set WRAPPER_JAR="%MAVEN_PROJECTBASEDIR%\.mvn\wrapper\maven-wrapper.jar"
set WRAPPER_LAUNCHER=org.apache.maven.wrapper.MavenWrapperMain
set WRAPPER_URL="https://repo.maven.apache.org/maven2/org/apache/maven/wrapper/maven-wrapper/3.2.0/maven-wrapper-3.2.0.jar"
FOR /F "usebackq tokens=1,2 delims==" %%A IN ("%MAVEN_PROJECTBASEDIR%\.mvn\wrapper\maven-wrapper.properties") DO (
IF "%%A"=="wrapperUrl" SET WRAPPER_URL=%%B
)
@REM Extension to allow automatically downloading the maven-wrapper.jar from Maven-central
@REM This allows using the maven wrapper in projects that prohibit checking in binary data.
if exist %WRAPPER_JAR% (
if "%MVNW_VERBOSE%" == "true" (
echo Found %WRAPPER_JAR%
)
) else (
if not "%MVNW_REPOURL%" == "" (
SET WRAPPER_URL="%MVNW_REPOURL%/org/apache/maven/wrapper/maven-wrapper/3.2.0/maven-wrapper-3.2.0.jar"
)
if "%MVNW_VERBOSE%" == "true" (
echo Couldn't find %WRAPPER_JAR%, downloading it ...
echo Downloading from: %WRAPPER_URL%
)
powershell -Command "&{"^
"$webclient = new-object System.Net.WebClient;"^
"if (-not ([string]::IsNullOrEmpty('%MVNW_USERNAME%') -and [string]::IsNullOrEmpty('%MVNW_PASSWORD%'))) {"^
"$webclient.Credentials = new-object System.Net.NetworkCredential('%MVNW_USERNAME%', '%MVNW_PASSWORD%');"^
"}"^
"[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12; $webclient.DownloadFile('%WRAPPER_URL%', '%WRAPPER_JAR%')"^
"}"
if "%MVNW_VERBOSE%" == "true" (
echo Finished downloading %WRAPPER_JAR%
)
)
@REM End of extension
@REM If specified, validate the SHA-256 sum of the Maven wrapper jar file
SET WRAPPER_SHA_256_SUM=""
FOR /F "usebackq tokens=1,2 delims==" %%A IN ("%MAVEN_PROJECTBASEDIR%\.mvn\wrapper\maven-wrapper.properties") DO (
IF "%%A"=="wrapperSha256Sum" SET WRAPPER_SHA_256_SUM=%%B
)
IF NOT %WRAPPER_SHA_256_SUM%=="" (
powershell -Command "&{"^
"$hash = (Get-FileHash \"%WRAPPER_JAR%\" -Algorithm SHA256).Hash.ToLower();"^
"If('%WRAPPER_SHA_256_SUM%' -ne $hash){"^
" Write-Output 'Error: Failed to validate Maven wrapper SHA-256, your Maven wrapper might be compromised.';"^
" Write-Output 'Investigate or delete %WRAPPER_JAR% to attempt a clean download.';"^
" Write-Output 'If you updated your Maven version, you need to update the specified wrapperSha256Sum property.';"^
" exit 1;"^
"}"^
"}"
if ERRORLEVEL 1 goto error
)
@REM Provide a "standardized" way to retrieve the CLI args that will
@REM work with both Windows and non-Windows executions.
set MAVEN_CMD_LINE_ARGS=%*
%MAVEN_JAVA_EXE% ^
%JVM_CONFIG_MAVEN_PROPS% ^
%MAVEN_OPTS% ^
%MAVEN_DEBUG_OPTS% ^
-classpath %WRAPPER_JAR% ^
"-Dmaven.multiModuleProjectDirectory=%MAVEN_PROJECTBASEDIR%" ^
%WRAPPER_LAUNCHER% %MAVEN_CONFIG% %*
if ERRORLEVEL 1 goto error
goto end
:error
set ERROR_CODE=1
:end
@endlocal & set ERROR_CODE=%ERROR_CODE%
if not "%MAVEN_SKIP_RC%"=="" goto skipRcPost
@REM check for post script, once with legacy .bat ending and once with .cmd ending
if exist "%USERPROFILE%\mavenrc_post.bat" call "%USERPROFILE%\mavenrc_post.bat"
if exist "%USERPROFILE%\mavenrc_post.cmd" call "%USERPROFILE%\mavenrc_post.cmd"
:skipRcPost
@REM pause the script if MAVEN_BATCH_PAUSE is set to 'on'
if "%MAVEN_BATCH_PAUSE%"=="on" pause
if "%MAVEN_TERMINATE_CMD%"=="on" exit %ERROR_CODE%
cmd /C exit /B %ERROR_CODE%

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<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>de.hsma</groupId>
<artifactId>spark-it</artifactId>
<version>0.0.1-SNAPSHOT</version>
<properties>
<maven.compiler.target>11</maven.compiler.target>
<maven.compiler.source>11</maven.compiler.source>
<spark.version>3.5.1</spark.version>
<cassandra.version>3.5.0</cassandra.version>
<slf4j.version>1.7.36</slf4j.version>
<jackson.version>2.15.2</jackson.version>
</properties>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.13</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.13</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.13</artifactId>
<version>${spark.version}</version>
<!-- <scope>provided</scope> -->
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.13</artifactId>
<version>${spark.version}</version>
<!-- <scope>provided</scope> -->
</dependency>
<dependency>
<groupId>com.datastax.spark</groupId>
<artifactId>spark-cassandra-connector_2.12</artifactId>
<version>${cassandra.version}</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-core</artifactId>
<version>${jackson.version}</version>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
<version>${jackson.version}</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>${slf4j.version}</version>
</dependency>
</dependencies>
</project>

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package de.hsma.informatik.bdea;
import java.util.Arrays;
import java.util.List;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
public class BasicDataset {
public static void main(String[] args) {
SparkSession spark = SparkSession
.builder()
.appName("DSExample").master("local[4]")
.getOrCreate();
List<Integer> data = Arrays.asList(2, 3, 4, 6, 7, 8);
Dataset<Integer> ds = spark.createDataset(data, Encoders.INT());
ds.createOrReplaceTempView("numbers");
spark.sql("select * from numbers where value > 3").show();
}
}

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package de.hsma.informatik.bdea;
import static org.apache.spark.sql.functions.col;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
// https://github.com/apache/spark/blob/master/examples/src/main/java/org/apache/spark/examples/sql/JavaSparkSQLExample.java
public class BasicSQL {
public static void main(String[] args) {
SparkSession spark = SparkSession.builder()
.appName("Spark SQL examples").master("local[*]").getOrCreate();
Dataset<Row> data = spark.read().json("src/main/resources/data.json");
data.show();
data.printSchema();
Dataset<Row> fnameDS = data.select("fname");
fnameDS.show();
Dataset<Row> nameDS = data.select(col("fname"), col("lname"));
nameDS.show();
Dataset<Row> genderDS = data.groupBy("gender").count();
genderDS.show();
Dataset<Row> maleGenderDS = data.filter(col("gender").eqNullSafe("Male"));
maleGenderDS.show();
Dataset<Person> peopleDS = data.as(Encoders.bean(Person.class));
peopleDS.show();
System.out.println("Select...");
data.createOrReplaceTempView("People");
Dataset<Row> sqlDF = spark.sql("SELECT * FROM People WHERE lname like 'W%'");
sqlDF.show();
spark.close();
spark.stop();
}
}

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package de.hsma.informatik.bdea;
import static org.apache.spark.sql.functions.dayofyear;
import static org.apache.spark.sql.functions.month;
import static org.apache.spark.sql.functions.unix_timestamp;
import static org.apache.spark.sql.functions.year;
import java.util.Arrays;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
// vgl.: https://databricks-prod-cloudfront.cloud.databricks.com/public/4027ec902e239c93eaaa8714f173bcfc/8599738367597028/4332292154849829/3601578643761083/latest.html
// Daten von: https://data.sfgov.org/Public-Safety/Fire-Department-Calls-for-Service/nuek-vuh3
// https://www.youtube.com/watch?v=K14plpZgy_c
// Update 24.04.24: copy is here: https://github.com/NashTech-Labs/Sparkathon/blob/master/src/main/resources/assignment/Fire_Department_Calls_for_Service.csv
public class FriscoFire {
public static void main(String[] args) {
SparkSession spark = SparkSession.builder()
.appName("Spark SQL examples").master("local[4]").getOrCreate();
Dataset<Row> data = spark.read().format("csv").option("header", true).option("inferSchema", true)
.load("/home/marcus/Downloads/Fire_Department_Calls_for_Service.csv");
// Mal schauen, was wir da geladen haben
data.printSchema();
data.limit(5).show();
// Spalten umbenennen (Leerzeichen und Bindestrich für spätere SQL-Abfragen entfernen)
for (String name : data.columns()) {
data = data.withColumnRenamed(name, name.replaceAll(" ", ""));
}
data = data.withColumnRenamed("Neighborhooods-AnalysisBoundaries", "Neighborhoods");
// // Spaltennamen ausgeben
Arrays.stream(data.columns()).forEach(System.out::println);
// // Anzahl der Zeilen
System.out.println(data.count());
//
// // Arten von Notfällen, do not truncate output
data.select("CallType").distinct().show(false);
// // Wie viele Anrufe welchen Typs gab es?
data.select("CallType").groupBy("CallType").count().orderBy("count").show(false);
// Datentypen anpassen: String zu Timestamp konvertieren
String fp1 = "MM/dd/yyyy";
String fp2 = "MM/dd/yyyy hh:mm:ss a";
data = data.withColumn("CallDateTS", unix_timestamp(data.col("CallDate"), fp1).cast("timestamp")).drop("CallDate");
data = data.withColumn("WatchDateTS", unix_timestamp(data.col("WatchDate"), fp1).cast("timestamp")).drop("WatchDate");
data = data.withColumn("ReceivedDtTmTS", unix_timestamp(data.col("ReceivedDtTm"), fp2).cast("timestamp")).drop("ReceivedDtTm");
data = data.withColumn("EntryDtTmTS", unix_timestamp(data.col("EntryDtTm"), fp2).cast("timestamp")).drop("EntryDtTm");
data = data.withColumn("DispatchDtTmTS", unix_timestamp(data.col("DispatchDtTm"), fp2).cast("timestamp")).drop("DispatchDtTm");
data = data.withColumn("ResponseDtTmTS", unix_timestamp(data.col("ResponseDtTm"), fp2).cast("timestamp")).drop("ResponseDtTm");
data = data.withColumn("OnSceneDtTmTS", unix_timestamp(data.col("OnSceneDtTm"), fp2).cast("timestamp")).drop("OnSceneDtTm");
data = data.withColumn("TransportDtTmTS", unix_timestamp(data.col("TransportDtTm"), fp2).cast("timestamp")).drop("TransportDtTm");
data = data.withColumn("HospitalDtTmTS", unix_timestamp(data.col("HospitalDtTm"), fp2).cast("timestamp")).drop("HospitalDtTm");
data = data.withColumn("AvailableDtTmTS", unix_timestamp(data.col("AvailableDtTm"), fp2).cast("timestamp")).drop("AvailableDtTm");
// neues Schema anschauen
data.printSchema();
data.limit(5).show();
// welche Anrufgründe gibt es?
data.select(data.col("CallType")).distinct().orderBy(year(data.col("CallDateTS"))).show(100, false);
// welche Jahre an Daten haben wir?
data.select(year(data.col("CallDateTS"))).distinct().orderBy(data.col("CallDateTS")).show();
// zeige die Anrufe aus 2018
data.filter(year(data.col("CallDateTS")).equalTo("2018")).show();
// wie viele Anrufe gab es im Juli 2017?
long calls = data.filter(year(data.col("CallDateTS")).equalTo("2017"))
.filter(month(data.col("CallDateTS")).equalTo("07")).count();
System.out.println(calls);
// wie viele Anrufe in 7 Tagen in 2016?
data.filter(year(data.col("CallDateTS")).equalTo("2016"))
.filter(dayofyear(data.col("CallDateTS")).$greater("179"))
.groupBy(dayofyear(data.col("CallDateTS"))).count().orderBy(dayofyear(data.col("CallDateTS"))).show(7);
data.repartition(4).createOrReplaceTempView("fireServiceVIEW");
spark.sql("SELECT DISTINCT Neighborhoods FROM fireServiceVIEW LIMIT 15").show();
// Cachen kostet erst einmal deutlich mehr Zeit...
// spark.catalog().cacheTable("fireServiceVIEW");
// System.out.println("----> Count: " + spark.table("fireServiceVIEW").count());
// // mit SQL: woher kamen 2015 die meisten Anrufe?
spark.sql("SELECT Neighborhoods, count(Neighborhoods) AS Neighborhood_Count FROM fireServiceVIEW "
+ "WHERE year(CallDateTS) == 2015 GROUP BY Neighborhoods ORDER BY Neighborhood_Count DESC LIMIT 15").show();
// Joinen... zweite Tabelle: https://data.sfgov.org/Public-Safety/Fire-Incidents/wr8u-xric
Dataset<Row> incidents = spark.read().format("csv").option("header", true).option("inferSchema", true)
.load("/home/marcus/Downloads/Fire_Incidents.csv").withColumnRenamed("Incident Number", "IncidentNumber").cache();
System.out.println(incidents.count());
incidents.show(3);
// Hier passiert der Join... kann einen Moment dauern
// s. auch: http://www.techburps.com/misc/apache-spark-dataset-joins-in-java/129
System.out.println("Joining...");
Dataset<Row> joined = data.join(incidents, data.col("IncidentNumber").equalTo(incidents.col("IncidentNumber")));
// Dataset<Row> joined = data.join(incidents, data.col("IncidentNumber").equalTo(incidents.col("IncidentNumber")), "fullouter");
joined.show(100);
System.out.println("Fin.");
}
}

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package de.hsma.informatik.bdea;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
public class LineCount {
public static void main(String[] args) {
String pfad = "src/main/resources/Faust.txt";
SparkConf conf = new SparkConf()
.setAppName("LineCount").setMaster("local[*]");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> text = sc.textFile(pfad);
long cnt = text.filter(line -> line.contains("Liebe")).count();
System.out.println(cnt + " Zeilen mit 'Liebe' in " + pfad);
sc.close();
}
}

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package de.hsma.informatik.bdea;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
import com.fasterxml.jackson.annotation.JsonProperty;
import java.io.Serializable;
@JsonIgnoreProperties
public class Person implements Serializable {
@JsonProperty(value = "id")
private Long id;
@JsonProperty(value = "fname")
private String fname;
@JsonProperty(value = "lname")
private String lname;
@JsonProperty(value = "email")
private String email;
@JsonProperty(value = "gender")
private String gender;
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public String getFname() {
return fname;
}
public void setFname(String fname) {
this.fname = fname;
}
public String getLname() {
return lname;
}
public void setLname(String lname) {
this.lname = lname;
}
public String getEmail() {
return email;
}
public void setEmail(String email) {
this.email = email;
}
public String getGender() {
return gender;
}
public void setGender(String gender) {
this.gender = gender;
}
//getters and setters
}

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package de.hsma.informatik.bdea;
import java.util.ArrayList;
import java.util.List;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
public class PiExample {
private final static int NUM_SAMPLES = 10000000;
public static void main(String[] args) {
SparkConf conf = new SparkConf()
.setAppName("Getting-Started").setMaster("local[*]");
JavaSparkContext sc = new JavaSparkContext(conf);
List<Integer> l = new ArrayList<>(NUM_SAMPLES);
for (int i = 0; i < NUM_SAMPLES; i++) {
l.add(i);
}
long count = sc.parallelize(l).filter(i -> {
double x = Math.random();
double y = Math.random();
return x*x + y*y <= 1;
}).count();
System.out.println("Pi is roughly " + 4.0 * count / NUM_SAMPLES);
sc.close();
}
}

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package de.hsma.informatik.bdea;
import java.util.Arrays;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
public class SimpleAdder {
public static void main(String[] args) {
SparkConf conf = new SparkConf().setAppName("SimpleAdder").setMaster("local[2]");
JavaSparkContext sc = new JavaSparkContext(conf);
Integer[] ints = {1,2,4,5,6,7,8,9};
JavaRDD<Integer> dist = sc.parallelize(Arrays.asList(ints));
dist.collect().forEach(System.out::println);
System.out.println(dist.reduce((x,y) -> x+y));
Integer[] others = {2,3,1,0, 0, 3, 4};
JavaRDD<Integer> dist2 = sc.parallelize(Arrays.asList(others));
// JavaRDD<Integer> res = dist.intersection(dist2);
// JavaPairRDD<Integer, Integer> res = dist.join(dist2);
// res.collect().forEach(System.out::println);
dist.intersection(dist2).collect().forEach(System.out::println);
dist2 = dist2.sortBy(x->x, true, 1);
dist2.sample(true, 0.5).collect().forEach(System.out::println);
// dist2.take(2).forEach(System.out::println);
dist2.collect().forEach(System.out::println);
}
}

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package de.hsma.informatik.bdea;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.streaming.StreamingQuery;
import org.apache.spark.sql.streaming.StreamingQueryException;
import org.apache.spark.sql.streaming.Trigger;
import java.util.Arrays;
import java.util.concurrent.TimeoutException;
// from https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
public class SparkStructuredStreaming {
public static void main(String[] args) throws InterruptedException, TimeoutException, StreamingQueryException {
SparkSession spark = SparkSession
.builder()
.appName("JavaStructuredNetworkWordCount")
.master("local[*]")
.getOrCreate();
// Folgendes benötigt einen lokalen Server auf Port 9999
// z.B. nc -lk 9999
// Create DataFrame representing the stream of input lines from connection to localhost:9999
Dataset<Row> lines = spark
.readStream()
.format("socket")
.option("host", "localhost")
.option("port", 9999)
.load();
// Split the lines into words
Dataset<String> words = lines
.as(Encoders.STRING())
.flatMap((FlatMapFunction<String, String>) x -> Arrays.asList(x.split(" ")).iterator(), Encoders.STRING());
// Generate running word count
Dataset<Row> wordCounts = words.groupBy("value").count();
// Start running the query that prints the running counts to the console
StreamingQuery query = wordCounts.writeStream()
.outputMode("complete")
.format("console")
// https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#triggers
.trigger(Trigger.ProcessingTime("5 seconds")) // interval
.start();
query.awaitTermination();
}
}

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package de.hsma.informatik.bdea;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.streaming.StreamingQuery;
import org.apache.spark.sql.streaming.StreamingQueryException;
import scala.Tuple2;
import java.sql.Timestamp;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeoutException;
// from https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
public class SparkStructuredStreamingWindowed {
public static void main(String[] args) throws InterruptedException, TimeoutException, StreamingQueryException {
SparkSession spark = SparkSession
.builder()
.appName("JavaStructuredNetworkWordCount")
.master("local[*]")
.getOrCreate();
int windowSize = 10;
int slideSize = 5;
// 'windowSize' Sekunden Windows
String windowDuration = windowSize + " seconds";
// werden alle 'slideSize' Sekunden aufgefrischt
String slideDuration = slideSize + " seconds";
// Folgendes benötigt einen lokalen Server auf Port 9999
// z.B. nc -lk 9999
// Create DataFrame representing the stream of input lines from connection to localhost:9999
Dataset<Row> lines = spark
.readStream()
.format("socket")
.option("host", "localhost")
.option("port", 9999)
.option("includeTimestamp", true) // Timestamps!
.load();
// Split the lines into words, retaining timestamps
Dataset<Row> words = lines
.as(Encoders.tuple(Encoders.STRING(), Encoders.TIMESTAMP()))
.flatMap((FlatMapFunction<Tuple2<String, Timestamp>, Tuple2<String, Timestamp>>) t -> {
List<Tuple2<String, Timestamp>> result = new ArrayList<>();
for (String word : t._1.split(" ")) {
result.add(new Tuple2<>(word, t._2));
}
return result.iterator();
},
Encoders.tuple(Encoders.STRING(), Encoders.TIMESTAMP())
).toDF("word", "timestamp");
// Group the data by window and word and compute the count of each group
Dataset<Row> windowedCounts = words.groupBy(
functions.window(words.col("timestamp"), windowDuration, slideDuration),
words.col("word")
).count().orderBy("window");
// Start running the query that prints the windowed word counts to the console
StreamingQuery query = windowedCounts.writeStream()
.outputMode("complete")
.format("console")
.option("truncate", "false")
.start();
query.awaitTermination();
}
}

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package de.hsma.informatik.bdea;
import java.util.Arrays;
import java.util.List;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import scala.Tuple2;
public class WordCount {
public static void main(String[] args) {
SparkConf conf = new SparkConf().setAppName("wc").setMaster("local[4]");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaRDD<String> tokens = sc.textFile("src/main/resources/Faust.txt").flatMap(
s -> Arrays.asList(s.split("\\W+")).iterator());
JavaPairRDD<String, Integer> counts = tokens.mapToPair(
token -> new Tuple2<>(token, 1)).reduceByKey((x,y) -> x+y);
List<Tuple2<String, Integer>> results = counts.collect();
results.forEach(System.out::println);
sc.close();
}
}

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