Examples of com.linkedin.data.DataMap

com.linkedin.data.DataMap
An {@link DataMap} maps strings to Data objects.
The key of this map is always a string. When a key is being added or replaced, the map will verify that key is a string. If the key is not a string, the map will throw an {@link IllegalArgumentException}.
When an value is being added or replaced on the map, the map will verify that the value is a Data object. If the value is not a Data object, then the map will throw an {@link IllegalArgumentException}.
Cloning via the {@link #clone()} method will shallow copy the {@link DataMap}and will not deep copy contained complex objects. Copying via the {@link #copy()}method will deep copy the {@link DataMap}, which includes deep copying the contained complex objects. Keys are not deep copied because the keys are immutable strings.
Instrumentation if enabled is only enabled for the {@link DataMap} and notfor the underlying {@link CheckedMap}. Furthermore, if a {@link DataMap} is cloned,the clone will not have instrumentation enabled and the clone's instrumented data will be cleared.
Since {@link DataMap} extends {@link CheckedMap}, copying of the {@link DataMap} is lazy and may bedelayed until the {@link DataMap} is about to be modified. @author slim

    ArrayDataSchema schema = (ArrayDataSchema) DataTemplateUtil.parseSchema("{ \"type\" : \"array\", \"items\" : \"double\" }");


    List<Double> input = Arrays.asList(1.0, 3.0, 5.0, 7.0, 11.0); // must be unique
    List<Double> adds = Arrays.asList(13.0, 17.0, 19.0);
    List<Object> badInput = asList(true, "hello", ByteString.empty(), new StringMap(), new StringArray(), null);
    List<Object> badOutput = asList(true, "hello", ByteString.empty(), new DataMap(), new DataList());


    testArray(DoubleArray.class, schema, input, adds);
    testArrayBadInput(DoubleArray.class, schema, input, badInput, badOutput);


    @SuppressWarnings("unchecked")

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  }


  @Override
  public void store(DataMap parentMap, String key)
  {
    DataMap setMap = (DataMap)parentMap.get(OP_NAME);
    if (setMap == null)
    {
      setMap = new DataMap();
      parentMap.put(OP_NAME, setMap);
    }


    setMap.put(key, _operand);
  }

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    ArrayDataSchema schema = (ArrayDataSchema) DataTemplateUtil.parseSchema("{ \"type\" : \"array\", \"items\" : \"string\" }");


    List<String> input = Arrays.asList("apple", "banana", "orange", "pineapple", "graphs"); // must be unique
    List<String> adds = Arrays.asList("foo", "bar", "baz");
    List<Object> badInput = asList(true, 1, 2L, 3.0f, 4.0, ByteString.empty(), new StringMap(), new StringArray(), null);
    List<Object> badOutput = asList(true, 1, 2L, 3.0f, 4.0, ByteString.empty(), new DataMap(), new DataList());


    testArray(StringArray.class, schema, input, adds);
    testArrayBadInput(StringArray.class, schema, input, badInput, badOutput);
  }

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    ArrayDataSchema schema = (ArrayDataSchema) DataTemplateUtil.parseSchema("{ \"type\" : \"array\", \"items\" : \"bytes\" }");


    List<ByteString> input = Arrays.asList(ByteString.copyAvroString("1", false), ByteString.copyAvroString("3", false), ByteString.copyAvroString("5", false), ByteString.copyAvroString("7", false), ByteString.copyAvroString("11", false));
    List<ByteString> adds = Arrays.asList(ByteString.copyAvroString("13", false), ByteString.copyAvroString("17", false), ByteString.copyAvroString("19", false));
    List<Object> badInput = asList(true, 99, 999L, 88.0f, 888.0, "\u0100", new StringMap(), new StringArray(), null);
    List<Object> badOutput = asList(true, 99, 999L, 88.0f, 888.0, "\u0100", new DataMap(), new DataList());


    testArray(BytesArray.class, schema, input, adds);
    testArrayBadInput(BytesArray.class, schema, input, badInput, badOutput);
  }

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  public void testEnumArray()
  {
    List<Fruits> input = Arrays.asList(Fruits.APPLE, Fruits.ORANGE, Fruits.BANANA); // must be unique
    List<Fruits> adds = Arrays.asList(Fruits.GRAPES, Fruits.PINEAPPLE);
    List<Object> badInput = asList(true, 1, 2L, 3.0f, 4.0, "orange", ByteString.empty(), new StringMap(), new StringArray(), null);
    List<Object> badOutput = asList(true, 1, 2L, 3.0f, 4.0, "orange", ByteString.empty(), new DataMap(), new DataList());


    testArray(EnumArrayTemplate.class, TestArrayTemplate.EnumArrayTemplate.SCHEMA, input, adds);
    testArrayBadInput(EnumArrayTemplate.class, TestArrayTemplate.EnumArrayTemplate.SCHEMA, input, badInput, badOutput);
  }

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  {
    for (Map.Entry<DataSchema.Type, Class<? extends DirectMapTemplate<?>>> entry: _dataSchemaTypeToprimitiveMapMap.entrySet())
    {
      final PrimitiveDataSchema valueSchema = DataSchemaUtil.dataSchemaTypeToPrimitiveDataSchema(entry.getKey());
      final MapDataSchema mapSchema = new MapDataSchema(valueSchema);
      final DataMap value = (DataMap) SchemaSampleDataGenerator.buildData(mapSchema, _spec);
      final ParameterizedType mapType = (ParameterizedType) entry.getValue().getGenericSuperclass();
      assert(mapType.getRawType() == DirectMapTemplate.class);
      Assert.assertSame(value.values().iterator().next().getClass(), mapType.getActualTypeArguments()[0]);
    }
  }

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  @Test
  public void testRecordSchema()
  {
    final RecordDataSchema schema = (RecordDataSchema) DataTemplateUtil.getSchema(Certification.class);
    final DataMap value = SchemaSampleDataGenerator.buildRecordData(schema, _spec);
    final ValidationResult result = ValidateDataAgainstSchema.validate(value, schema, new ValidationOptions());
    Assert.assertTrue(result.isValid(), Arrays.toString(result.getMessages().toArray()));
  }

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    }
    final String nullMemberKey = DataSchemaConstants.NULL_DATA_SCHEMA.getUnionMemberKey();


    for (int i = 0; i < memberKeys.size() * 2; ++i)
    {
      final DataMap value = (DataMap) SchemaSampleDataGenerator.buildData(schema, _spec);
      if (value == null)
      {
        Assert.assertTrue(memberKeys.contains(nullMemberKey));
        continue;
      }


      final String key = value.keySet().iterator().next();
      Assert.assertTrue(memberKeys.contains(key));
    }
  }

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  @Test
  public void testTyperefSchema()
  {
    final RecordDataSchema schema = (RecordDataSchema) DataTemplateUtil.getSchema(TyperefTest.class);
    final DataMap value = SchemaSampleDataGenerator.buildRecordData(schema, _spec);


    for(RecordDataSchema.Field field: schema.getFields())
    {
      final DataSchema fieldSchema = field.getType();
      if (!(fieldSchema instanceof TyperefDataSchema))
      {
        continue;
      }


      final TyperefDataSchema fieldTyperefSchema = (TyperefDataSchema) field.getType();
      final Object fieldValue = value.get(field.getName());
      final Object rebuildValue = SchemaSampleDataGenerator.buildData(fieldTyperefSchema.getDereferencedDataSchema(),
                                                                      _spec);
      Assert.assertSame(fieldValue.getClass(), rebuildValue.getClass());
    }
  }

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  public void testRecursivelyReferencedSchema()
  {
    try
    {
      final RecordDataSchema schema = (RecordDataSchema) DataTemplateUtil.getSchema(SelfReference.class);
      final DataMap data = SchemaSampleDataGenerator.buildRecordData(schema, _spec);
      Assert.assertTrue(data.getDataList("listRef").getDataMap(0).getDataList("listRef").isEmpty(), "Self referenced schema in list should not be embedded recursively");
      final String firstKey = data.getDataMap("mapRef").keySet().iterator().next();
      Assert.assertTrue(data.getDataMap("mapRef").getDataMap(firstKey).getDataMap("mapRef").isEmpty(), "Self referenced schema in map should not be embedded recursively");
      Assert.assertFalse(data.getDataMap("indirectRef").containsKey("ref"), "Self referenced schema (via indirect reference) should not be embedded recursively");
      Assert.assertFalse(data.getDataMap("unionRef").containsKey("com.linkedin.pegasus.generator.test.SelfReference"), "Self referenced schema in union should not be embedded recursively");
    }
    catch (StackOverflowError e)
    {
      Assert.fail("Self reference in schema should not cause stack overflow during doc gen.");
    }

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