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Building an ES image on AWS: | |
Provision an amazon-linux instance through the console with a 8gb root drive and a 80+gb ebs data drive | |
A) update | |
sudo yum update | |
B) mount a data volume | |
lsblk # find volume tag assuming it is /dev/xvdb | |
#check if data |
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# Check java version | |
JAVA_VER=$(java -version 2>&1 | sed 's/java version "\(.*\)\.\(.*\)\..*"/\1\2/; 1q') | |
if [ "$JAVA_VER" -lt 18 ] | |
then | |
# Figure out how many versions of Java and javac we currently have | |
NR_OF_JRE_OPTIONS=$(echo 0 | alternatives --config java 2>/dev/null | grep 'There ' | awk '{print $3}' | tail -1) | |
NR_OF_SDK_OPTIONS=$(echo 0 | alternatives --config javac 2>/dev/null | grep 'There ' | awk '{print $3}' | tail -1) | |
# Silent install javac (includes jre) |
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implicit def createTypeInformation[T]: TypeInformation[T] = macro TypeUtils.createTypeInfo[T] |
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implicit val typeInfo = TypeInformation.of(classOf[Foo]) |
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case class Foo(b: Bar) | |
object Foo { | |
implicit val typeInfo = TypeInformation.of(classOf[Foo]) | |
} |
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trait TypeInfo { | |
implicit val fooTypeInfo = TypeInformation.of(classOf[Foo]) | |
implicit val barTypeInfo = TypeInformation.of(classOf[Bar]) | |
implicit val bazTypeInfo = TypeInformation.of(classOf[Baz]) | |
} | |
object TypeInfo extends TypeInfo |
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import org.apache.flink.api.common.state.ValueStateDescriptor | |
import org.apache.flink.api.common.typeinfo.TypeInformation | |
import org.apache.flink.api.common.typeutils.TypeSerializer | |
import org.apache.flink.streaming.api.functions.co.{CoMapFunction, RichCoMapFunction} | |
import org.apache.flink.streaming.api.scala.{ConnectedStreams, DataStream} | |
import org.apache.flink.streaming.api.scala._ | |
case class M1(key: String, foo: String) | |
case class M2(key: String, bar: String) |