Examples with StringValue org.apache.flink.types.StringValue used on opensource projects

Example 46 with StringValue

use of org.apache.flink.types.StringValue 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");
}

Example 47 with StringValue

use of org.apache.flink.types.StringValue in project flink by apache.

the class SimpleStringUtilsTest method testReplaceNonWordChars.

@Test
public void testReplaceNonWordChars() {
    StringValue testString = new StringValue("TEST123_@");
    SimpleStringUtils.replaceNonWordChars(testString, '!');
    assertEquals(new StringValue("TEST123_!"), testString);
}

Example 48 with StringValue

use of org.apache.flink.types.StringValue in project flink by apache.

the class SimpleStringUtilsTest method testTokenizerOnStringWithNexToken.

@Test
public void testTokenizerOnStringWithNexToken() {
    StringValue testString = new StringValue("test test");
    SimpleStringUtils.WhitespaceTokenizer tokenizer = new WhitespaceTokenizer();
    tokenizer.setStringToTokenize(testString);
    assertTrue(tokenizer.next(testString));
}

Example 49 with StringValue

use of org.apache.flink.types.StringValue in project flink by apache.

the class SimpleStringUtilsTest method testTokenizerOnStringWithoutNexToken.

@Test
public void testTokenizerOnStringWithoutNexToken() {
    StringValue testString = new StringValue("test");
    SimpleStringUtils.WhitespaceTokenizer tokenizer = new WhitespaceTokenizer();
    tokenizer.setStringToTokenize(testString);
    //first token
    tokenizer.next(testString);
    //next token is not exist
    assertFalse(tokenizer.next(testString));
}

Example 50 with StringValue

use of org.apache.flink.types.StringValue in project flink by apache.

the class SimpleStringUtilsTest method testTokenizerOnStringOnlyWithDelimiter.

@Test
public void testTokenizerOnStringOnlyWithDelimiter() {
    StringValue testString = new StringValue("    ");
    SimpleStringUtils.WhitespaceTokenizer tokenizer = new WhitespaceTokenizer();
    tokenizer.setStringToTokenize(testString);
    assertFalse(tokenizer.next(testString));
}