use of org.apache.flink.types.IntValue in project flink by apache.
the class OutputEmitterTest method testWrongKeyClass.
@Test
public void testWrongKeyClass() {
// Test for IntValue
@SuppressWarnings({ "unchecked", "rawtypes" }) final TypeComparator<Record> doubleComp = new RecordComparatorFactory(new int[] { 0 }, new Class[] { DoubleValue.class }).createComparator();
final ChannelSelector<SerializationDelegate<Record>> oe1 = new OutputEmitter<Record>(ShipStrategyType.PARTITION_HASH, doubleComp);
final SerializationDelegate<Record> delegate = new SerializationDelegate<Record>(new RecordSerializerFactory().getSerializer());
;
Record rec = null;
try {
PipedInputStream pipedInput = new PipedInputStream(1024 * 1024);
DataInputView in = new DataInputViewStreamWrapper(pipedInput);
DataOutputView out = new DataOutputViewStreamWrapper(new PipedOutputStream(pipedInput));
rec = new Record(1);
rec.setField(0, new IntValue());
rec.write(out);
rec = new Record();
rec.read(in);
} catch (IOException e) {
fail("Test erroneous");
}
try {
delegate.setInstance(rec);
oe1.selectChannels(delegate, 100);
} catch (DeserializationException re) {
return;
}
Assert.fail("Expected a NullKeyFieldException.");
}
use of org.apache.flink.types.IntValue in project flink by apache.
the class GraphMetrics method main.
public static void main(String[] args) throws Exception {
// Set up the execution environment
final ExecutionEnvironment env = ExecutionEnvironment.getExecutionEnvironment();
env.getConfig().enableObjectReuse();
ParameterTool parameters = ParameterTool.fromArgs(args);
env.getConfig().setGlobalJobParameters(parameters);
if (!parameters.has("directed")) {
throw new ProgramParametrizationException(getUsage("must declare execution mode as '--directed true' or '--directed false'"));
}
boolean directedAlgorithm = parameters.getBoolean("directed");
GraphAnalytic vm;
GraphAnalytic em;
switch(parameters.get("input", "")) {
case "csv":
{
String lineDelimiter = StringEscapeUtils.unescapeJava(parameters.get("input_line_delimiter", CsvOutputFormat.DEFAULT_LINE_DELIMITER));
String fieldDelimiter = StringEscapeUtils.unescapeJava(parameters.get("input_field_delimiter", CsvOutputFormat.DEFAULT_FIELD_DELIMITER));
GraphCsvReader reader = Graph.fromCsvReader(parameters.getRequired("input_filename"), env).ignoreCommentsEdges("#").lineDelimiterEdges(lineDelimiter).fieldDelimiterEdges(fieldDelimiter);
switch(parameters.get("type", "")) {
case "integer":
{
Graph<LongValue, NullValue, NullValue> graph = reader.keyType(LongValue.class);
if (directedAlgorithm) {
if (parameters.getBoolean("simplify", false)) {
graph = graph.run(new org.apache.flink.graph.asm.simple.directed.Simplify<LongValue, NullValue, NullValue>());
}
vm = graph.run(new org.apache.flink.graph.library.metric.directed.VertexMetrics<LongValue, NullValue, NullValue>());
em = graph.run(new org.apache.flink.graph.library.metric.directed.EdgeMetrics<LongValue, NullValue, NullValue>());
} else {
if (parameters.getBoolean("simplify", false)) {
graph = graph.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<LongValue, NullValue, NullValue>(false));
}
vm = graph.run(new org.apache.flink.graph.library.metric.undirected.VertexMetrics<LongValue, NullValue, NullValue>());
em = graph.run(new org.apache.flink.graph.library.metric.undirected.EdgeMetrics<LongValue, NullValue, NullValue>());
}
}
break;
case "string":
{
Graph<StringValue, NullValue, NullValue> graph = reader.keyType(StringValue.class);
if (directedAlgorithm) {
if (parameters.getBoolean("simplify", false)) {
graph = graph.run(new org.apache.flink.graph.asm.simple.directed.Simplify<StringValue, NullValue, NullValue>());
}
vm = graph.run(new org.apache.flink.graph.library.metric.directed.VertexMetrics<StringValue, NullValue, NullValue>());
em = graph.run(new org.apache.flink.graph.library.metric.directed.EdgeMetrics<StringValue, NullValue, NullValue>());
} else {
if (parameters.getBoolean("simplify", false)) {
graph = graph.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<StringValue, NullValue, NullValue>(false));
}
vm = graph.run(new org.apache.flink.graph.library.metric.undirected.VertexMetrics<StringValue, NullValue, NullValue>());
em = graph.run(new org.apache.flink.graph.library.metric.undirected.EdgeMetrics<StringValue, NullValue, NullValue>());
}
}
break;
default:
throw new ProgramParametrizationException(getUsage("invalid CSV type"));
}
}
break;
case "rmat":
{
int scale = parameters.getInt("scale", DEFAULT_SCALE);
int edgeFactor = parameters.getInt("edge_factor", DEFAULT_EDGE_FACTOR);
RandomGenerableFactory<JDKRandomGenerator> rnd = new JDKRandomGeneratorFactory();
long vertexCount = 1L << scale;
long edgeCount = vertexCount * edgeFactor;
Graph<LongValue, NullValue, NullValue> graph = new RMatGraph<>(env, rnd, vertexCount, edgeCount).generate();
if (directedAlgorithm) {
if (scale > 32) {
Graph<LongValue, NullValue, NullValue> newGraph = graph.run(new org.apache.flink.graph.asm.simple.directed.Simplify<LongValue, NullValue, NullValue>());
vm = newGraph.run(new org.apache.flink.graph.library.metric.directed.VertexMetrics<LongValue, NullValue, NullValue>());
em = newGraph.run(new org.apache.flink.graph.library.metric.directed.EdgeMetrics<LongValue, NullValue, NullValue>());
} else {
Graph<IntValue, NullValue, NullValue> newGraph = graph.run(new TranslateGraphIds<LongValue, IntValue, NullValue, NullValue>(new LongValueToUnsignedIntValue())).run(new org.apache.flink.graph.asm.simple.directed.Simplify<IntValue, NullValue, NullValue>());
vm = newGraph.run(new org.apache.flink.graph.library.metric.directed.VertexMetrics<IntValue, NullValue, NullValue>());
em = newGraph.run(new org.apache.flink.graph.library.metric.directed.EdgeMetrics<IntValue, NullValue, NullValue>());
}
} else {
boolean clipAndFlip = parameters.getBoolean("clip_and_flip", DEFAULT_CLIP_AND_FLIP);
if (scale > 32) {
Graph<LongValue, NullValue, NullValue> newGraph = graph.run(new org.apache.flink.graph.asm.simple.undirected.Simplify<LongValue, NullValue, NullValue>(clipAndFlip));
vm = newGraph.run(new org.apache.flink.graph.library.metric.undirected.VertexMetrics<LongValue, NullValue, NullValue>());
em = newGraph.run(new org.apache.flink.graph.library.metric.undirected.EdgeMetrics<LongValue, NullValue, NullValue>());
} else {
Graph<IntValue, NullValue, NullValue> newGraph = graph.run(new TranslateGraphIds<LongValue, IntValue, NullValue, NullValue>(new LongValueToUnsignedIntValue())).run(new org.apache.flink.graph.asm.simple.undirected.Simplify<IntValue, NullValue, NullValue>(clipAndFlip));
vm = newGraph.run(new org.apache.flink.graph.library.metric.undirected.VertexMetrics<IntValue, NullValue, NullValue>());
em = newGraph.run(new org.apache.flink.graph.library.metric.undirected.EdgeMetrics<IntValue, NullValue, NullValue>());
}
}
}
break;
default:
throw new ProgramParametrizationException(getUsage("invalid input type"));
}
env.execute("Graph Metrics");
System.out.println();
System.out.print("Vertex metrics:\n ");
System.out.println(vm.getResult().toString().replace(";", "\n "));
System.out.println();
System.out.print("Edge metrics:\n ");
System.out.println(em.getResult().toString().replace(";", "\n "));
JobExecutionResult result = env.getLastJobExecutionResult();
NumberFormat nf = NumberFormat.getInstance();
System.out.println();
System.out.println("Execution runtime: " + nf.format(result.getNetRuntime()) + " ms");
}
use of org.apache.flink.types.IntValue in project flink by apache.
the class LongValueToUnsignedIntValueTest method testTranslation.
@Test
public void testTranslation() throws Exception {
assertEquals(new IntValue(0), translator.translate(new LongValue(0L), reuse));
assertEquals(new IntValue(Integer.MIN_VALUE), translator.translate(new LongValue((long) Integer.MAX_VALUE + 1), reuse));
assertEquals(new IntValue(-1), translator.translate(new LongValue((1L << 32) - 1), reuse));
}
use of org.apache.flink.types.IntValue in project flink by apache.
the class ToNullValueTest method testTranslation.
@Test
public void testTranslation() throws Exception {
NullValue reuse = NullValue.getInstance();
assertEquals(NullValue.getInstance(), new ToNullValue<>().translate(new DoubleValue(), reuse));
assertEquals(NullValue.getInstance(), new ToNullValue<>().translate(new FloatValue(), reuse));
assertEquals(NullValue.getInstance(), new ToNullValue<>().translate(new IntValue(), reuse));
assertEquals(NullValue.getInstance(), new ToNullValue<>().translate(new LongValue(), reuse));
assertEquals(NullValue.getInstance(), new ToNullValue<>().translate(new StringValue(), reuse));
}
use of org.apache.flink.types.IntValue in project flink by apache.
the class SimplifyTest method setup.
@Before
public void setup() {
ExecutionEnvironment env = ExecutionEnvironment.createCollectionsEnvironment();
Object[][] edges = new Object[][] { new Object[] { 0, 0 }, new Object[] { 0, 1 }, new Object[] { 0, 1 }, new Object[] { 0, 2 }, new Object[] { 0, 2 }, new Object[] { 1, 0 }, new Object[] { 2, 2 } };
List<Edge<IntValue, NullValue>> edgeList = new LinkedList<>();
for (Object[] edge : edges) {
edgeList.add(new Edge<>(new IntValue((int) edge[0]), new IntValue((int) edge[1]), NullValue.getInstance()));
}
graph = Graph.fromCollection(edgeList, env);
}
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