Examples with Row org.apache.spark.sql.Row used on opensource projects

Example 1 with Row

use of org.apache.spark.sql.Row in project Gaffer by gchq.

the class AccumuloStoreRelationTest method testBuildScanWithView.

private void testBuildScanWithView(final String name, final View view, final Predicate<Element> returnElement) throws OperationException, StoreException {
    // Given
    final SQLContext sqlContext = getSqlContext(name);
    final Schema schema = getSchema();
    final AccumuloProperties properties = AccumuloProperties.loadStoreProperties(AccumuloStoreRelationTest.class.getResourceAsStream("/store.properties"));
    final SingleUseMockAccumuloStore store = new SingleUseMockAccumuloStore();
    store.initialise(schema, properties);
    addElements(store);
    // When
    final AccumuloStoreRelation relation = new AccumuloStoreRelation(sqlContext, Collections.emptyList(), view, store, new User());
    final RDD<Row> rdd = relation.buildScan();
    final Row[] returnedElements = (Row[]) rdd.collect();
    // Then
    //  - Actual results are:
    final Set<Row> results = new HashSet<>();
    for (int i = 0; i < returnedElements.length; i++) {
        results.add(returnedElements[i]);
    }
    //  - Expected results are:
    final SchemaToStructTypeConverter schemaConverter = new SchemaToStructTypeConverter(schema, view, new ArrayList<>());
    final ConvertElementToRow elementConverter = new ConvertElementToRow(schemaConverter.getUsedProperties(), schemaConverter.getPropertyNeedsConversion(), schemaConverter.getConverterByProperty());
    final Set<Row> expectedRows = new HashSet<>();
    StreamSupport.stream(getElements().spliterator(), false).filter(returnElement).map(elementConverter::apply).forEach(expectedRows::add);
    assertEquals(expectedRows, results);
    sqlContext.sparkContext().stop();
}

Example 2 with Row

use of org.apache.spark.sql.Row in project Gaffer by gchq.

the class GetDataFrameOfElementsHandlerTest method checkCanDealWithUserDefinedConversion.

@Test
public void checkCanDealWithUserDefinedConversion() throws OperationException {
    final Graph graph = getGraph("/schema-DataFrame/dataSchemaUserDefinedConversion.json", getElementsForUserDefinedConversion());
    final SQLContext sqlContext = getSqlContext("checkCanDealWithUserDefinedConversion");
    // Edges group - check get correct edges
    final List<Converter> converters = new ArrayList<>();
    converters.add(new MyPropertyConverter());
    GetDataFrameOfElements dfOperation = new GetDataFrameOfElements.Builder().sqlContext(sqlContext).view(new View.Builder().edge(EDGE_GROUP).build()).converters(converters).build();
    Dataset<Row> dataFrame = graph.execute(dfOperation, new User());
    Set<Row> results = new HashSet<>(dataFrame.collectAsList());
    final Set<Row> expectedRows = new HashSet<>();
    final MutableList<Object> fields1 = new MutableList<>();
    Map<String, Long> freqMap = Map$.MODULE$.empty();
    freqMap.put("Y", 1000L);
    freqMap.put("Z", 10000L);
    fields1.appendElem(EDGE_GROUP);
    fields1.appendElem("B");
    fields1.appendElem("C");
    fields1.appendElem(freqMap);
    final HyperLogLogPlus hllpp = new HyperLogLogPlus(5, 5);
    hllpp.offer("AAA");
    hllpp.offer("BBB");
    fields1.appendElem(hllpp.cardinality());
    fields1.appendElem(50);
    expectedRows.add(Row$.MODULE$.fromSeq(fields1));
    assertEquals(expectedRows, results);
    // Entities group - check get correct entities
    dfOperation = new GetDataFrameOfElements.Builder().sqlContext(sqlContext).view(new View.Builder().entity(ENTITY_GROUP).build()).converters(converters).build();
    dataFrame = graph.execute(dfOperation, new User());
    results.clear();
    results.addAll(dataFrame.collectAsList());
    expectedRows.clear();
    fields1.clear();
    freqMap.clear();
    freqMap.put("W", 10L);
    freqMap.put("X", 100L);
    fields1.appendElem(ENTITY_GROUP);
    fields1.appendElem("A");
    fields1.appendElem(freqMap);
    final HyperLogLogPlus hllpp2 = new HyperLogLogPlus(5, 5);
    hllpp2.offer("AAA");
    fields1.appendElem(hllpp2.cardinality());
    fields1.appendElem(10);
    expectedRows.add(Row$.MODULE$.fromSeq(fields1));
    assertEquals(expectedRows, results);
    sqlContext.sparkContext().stop();
}

Example 3 with Row

use of org.apache.spark.sql.Row in project Gaffer by gchq.

the class GetDataFrameOfElementsHandlerTest method checkGetCorrectElementsInDataFrameMultipleGroups.

@Test
public void checkGetCorrectElementsInDataFrameMultipleGroups() throws OperationException {
    final Graph graph = getGraph("/schema-DataFrame/dataSchema.json", getElements());
    final SQLContext sqlContext = getSqlContext("checkGetCorrectElementsInDataFrameMultipleGroups");
    // Use entity and edges group - check get correct data
    GetDataFrameOfElements dfOperation = new GetDataFrameOfElements.Builder().sqlContext(sqlContext).view(new View.Builder().entity(ENTITY_GROUP).edge(EDGE_GROUP).build()).build();
    Dataset<Row> dataFrame = graph.execute(dfOperation, new User());
    final Set<Row> results = new HashSet<>(dataFrame.collectAsList());
    final Set<Row> expectedRows = new HashSet<>();
    for (int i = 0; i < NUM_ELEMENTS; i++) {
        final MutableList<Object> fields1 = new MutableList<>();
        fields1.appendElem(EDGE_GROUP);
        fields1.appendElem(null);
        fields1.appendElem(1);
        fields1.appendElem(2);
        fields1.appendElem(3.0F);
        fields1.appendElem(4.0D);
        fields1.appendElem(5L);
        fields1.appendElem(100L);
        fields1.appendElem("" + i);
        fields1.appendElem("B");
        expectedRows.add(Row$.MODULE$.fromSeq(fields1));
        final MutableList<Object> fields2 = new MutableList<>();
        fields2.appendElem(EDGE_GROUP);
        fields2.appendElem(null);
        fields2.appendElem(6);
        fields2.appendElem(7);
        fields2.appendElem(8.0F);
        fields2.appendElem(9.0D);
        fields2.appendElem(10L);
        fields2.appendElem(i * 200L);
        fields2.appendElem("" + i);
        fields2.appendElem("C");
        expectedRows.add(Row$.MODULE$.fromSeq(fields2));
        final MutableList<Object> fields3 = new MutableList<>();
        fields3.appendElem(ENTITY_GROUP);
        fields3.appendElem("" + i);
        fields3.appendElem(1);
        fields3.appendElem(i);
        fields3.appendElem(3.0F);
        fields3.appendElem(4.0D);
        fields3.appendElem(5L);
        fields3.appendElem(6);
        fields3.appendElem(null);
        fields3.appendElem(null);
        expectedRows.add(Row$.MODULE$.fromSeq(fields3));
    }
    assertEquals(expectedRows, results);
    // Entities group - check get correct entities
    dfOperation = new GetDataFrameOfElements.Builder().sqlContext(sqlContext).view(new View.Builder().entity(ENTITY_GROUP).build()).build();
    dataFrame = graph.execute(dfOperation, new User());
    results.clear();
    results.addAll(dataFrame.collectAsList());
    expectedRows.clear();
    for (int i = 0; i < NUM_ELEMENTS; i++) {
        final MutableList<Object> fields1 = new MutableList<>();
        fields1.clear();
        fields1.appendElem(ENTITY_GROUP);
        fields1.appendElem("" + i);
        fields1.appendElem(1);
        fields1.appendElem(i);
        fields1.appendElem(3.0F);
        fields1.appendElem(4.0D);
        fields1.appendElem(5L);
        fields1.appendElem(6);
        expectedRows.add(Row$.MODULE$.fromSeq(fields1));
    }
    assertEquals(expectedRows, results);
    sqlContext.sparkContext().stop();
}

Example 4 with Row

use of org.apache.spark.sql.Row in project Gaffer by gchq.

the class GetDataFrameOfElementsHandlerTest method checkGetCorrectElementsInDataFrameWithProjectionAndFiltering.

@Test
public void checkGetCorrectElementsInDataFrameWithProjectionAndFiltering() throws OperationException {
    final Graph graph = getGraph("/schema-DataFrame/dataSchema.json", getElements());
    final SQLContext sqlContext = getSqlContext("checkGetCorrectElementsInDataFrameWithProjectionAndFiltering");
    // Get DataFrame
    final GetDataFrameOfElements dfOperation = new GetDataFrameOfElements.Builder().sqlContext(sqlContext).view(new View.Builder().edge(EDGE_GROUP).build()).build();
    final Dataset<Row> dataFrame = graph.execute(dfOperation, new User());
    // Check get correct rows when ask for all columns but only rows where property2 > 4.0
    Set<Row> results = new HashSet<>(dataFrame.filter("property2 > 4.0").collectAsList());
    final Set<Row> expectedRows = new HashSet<>();
    for (int i = 0; i < NUM_ELEMENTS; i++) {
        final MutableList<Object> fields = new MutableList<>();
        fields.appendElem(EDGE_GROUP);
        fields.appendElem("" + i);
        fields.appendElem("C");
        fields.appendElem(6);
        fields.appendElem(7);
        fields.appendElem(8.0F);
        fields.appendElem(9.0D);
        fields.appendElem(10L);
        fields.appendElem(i * 200L);
        expectedRows.add(Row$.MODULE$.fromSeq(fields));
    }
    assertEquals(expectedRows, results);
    // Check get correct rows when ask for columns property2 and property3 but only rows where property2 > 4.0
    results = new HashSet<>(dataFrame.select("property2", "property3").filter("property2 > 4.0").collectAsList());
    expectedRows.clear();
    for (int i = 0; i < NUM_ELEMENTS; i++) {
        final MutableList<Object> fields = new MutableList<>();
        fields.appendElem(8.0F);
        fields.appendElem(9.0D);
        expectedRows.add(Row$.MODULE$.fromSeq(fields));
    }
    assertEquals(expectedRows, results);
    sqlContext.sparkContext().stop();
}

Example 5 with Row

use of org.apache.spark.sql.Row in project Gaffer by gchq.

the class GetDataFrameOfElementsExample method getDataFrameOfElementsWithEntityGroup.

public void getDataFrameOfElementsWithEntityGroup(final SQLContext sqlc, final Graph graph) throws OperationException {
    ROOT_LOGGER.setLevel(Level.INFO);
    log("#### " + getMethodNameAsSentence(0) + "\n");
    printGraph();
    ROOT_LOGGER.setLevel(Level.OFF);
    final GetDataFrameOfElements operation = new GetDataFrameOfElements.Builder().view(new View.Builder().entity("entity").build()).sqlContext(sqlc).build();
    final Dataset<Row> df = graph.execute(operation, new User("user01"));
    // Show
    String result = df.showString(100, 20);
    ROOT_LOGGER.setLevel(Level.INFO);
    printJava("GetDataFrameOfElements operation = new GetDataFrameOfElements.Builder()\n" + "                .view(new View.Builder()\n" + "                        .entity(\"entity\")\n" + "                        .build()).\n" + "                .sqlContext(sqlc)\n" + "                .build();\n" + "Dataset<Row> df = getGraph().execute(operation, new User(\"user01\"));\n" + "df.show();");
    log("The results are:");
    log("```");
    log(result.substring(0, result.length() - 2));
    log("```");
    ROOT_LOGGER.setLevel(Level.OFF);
    // Restrict to entities involving certain vertices
    final Dataset<Row> seeded = df.filter("vertex = 1 OR vertex = 2");
    result = seeded.showString(100, 20);
    ROOT_LOGGER.setLevel(Level.INFO);
    printJava("df.filter(\"vertex = 1 OR vertex = 2\").show();");
    log("The results are:");
    log("```");
    log(result.substring(0, result.length() - 2));
    log("```");
    ROOT_LOGGER.setLevel(Level.OFF);
    // Filter by property
    final Dataset<Row> filtered = df.filter("count > 1");
    result = filtered.showString(100, 20);
    ROOT_LOGGER.setLevel(Level.INFO);
    printJava("df.filter(\"count > 1\").show();");
    log("The results are:");
    log("```");
    log(result.substring(0, result.length() - 2));
    log("```");
    ROOT_LOGGER.setLevel(Level.OFF);
}