Java Time类代码示例

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
/**
 * Determine the type/format of the timestamp based on the schema
 */
private String timestampTypeFromSchema(Schema schema) {
    if (Timestamp.LOGICAL_NAME.equals(schema.name())) {
        return TYPE_TIMESTAMP;
    } else if (org.apache.kafka.connect.data.Date.LOGICAL_NAME.equals(schema.name())) {
        return TYPE_DATE;
    } else if (Time.LOGICAL_NAME.equals(schema.name())) {
        return TYPE_TIME;
    } else if (schema.type().equals(Schema.Type.STRING)) {
        // If not otherwise specified, string == user-specified string format for timestamps
        return TYPE_STRING;
    } else if (schema.type().equals(Schema.Type.INT64)) {
        // If not otherwise specified, long == unix time
        return TYPE_UNIX;
    }
    throw new ConnectException("Schema " + schema + " does not correspond to a known timestamp type format");
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
public Parser() {
  this.typeParsers = new HashMap<>();
  registerTypeParser(Schema.BOOLEAN_SCHEMA, new BooleanParser());
  registerTypeParser(Schema.BOOLEAN_SCHEMA, new BooleanParser());
  registerTypeParser(Schema.FLOAT32_SCHEMA, new Float32TypeParser());
  registerTypeParser(Schema.FLOAT64_SCHEMA, new Float64TypeParser());
  registerTypeParser(Schema.INT8_SCHEMA, new Int8TypeParser());
  registerTypeParser(Schema.INT16_SCHEMA, new Int16TypeParser());
  registerTypeParser(Schema.INT32_SCHEMA, new Int32TypeParser());
  registerTypeParser(Schema.INT64_SCHEMA, new Int64TypeParser());
  registerTypeParser(Schema.STRING_SCHEMA, new StringTypeParser());
  registerTypeParser(Decimal.schema(1), new DecimalTypeParser());
  registerTypeParser(Date.SCHEMA, new DateTypeParser());
  registerTypeParser(Time.SCHEMA, new TimeTypeParser());
  registerTypeParser(Timestamp.SCHEMA, new TimestampTypeParser());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void nullableTests() {
  final Schema[] schemas = new Schema[]{
      Schema.OPTIONAL_BOOLEAN_SCHEMA,
      Schema.OPTIONAL_FLOAT32_SCHEMA,
      Schema.OPTIONAL_FLOAT64_SCHEMA,
      Schema.OPTIONAL_INT8_SCHEMA,
      Schema.OPTIONAL_INT16_SCHEMA,
      Schema.OPTIONAL_INT32_SCHEMA,
      Schema.OPTIONAL_INT64_SCHEMA,
      Schema.OPTIONAL_STRING_SCHEMA,
      Decimal.builder(1).optional().build(),
      Timestamp.builder().optional().build(),
      Date.builder().optional().build(),
      Time.builder().optional().build(),
  };

  for (Schema schema : schemas) {
    Object actual = this.parser.parseString(schema, null);
    assertNull(actual);
  }

}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Override
public void start(Map<String, String> settings) {
  this.config = config(settings);

  checkDirectory(SpoolDirSourceConnectorConfig.INPUT_PATH_CONFIG, this.config.inputPath);
  checkDirectory(SpoolDirSourceConnectorConfig.FINISHED_PATH_CONFIG, this.config.finishedPath);
  checkDirectory(SpoolDirSourceConnectorConfig.ERROR_PATH_CONFIG, this.config.errorPath);

  this.parser = new Parser();
  Map<Schema, TypeParser> dateTypeParsers = ImmutableMap.of(
      Timestamp.SCHEMA, new TimestampTypeParser(this.config.parserTimestampTimezone, this.config.parserTimestampDateFormats),
      Date.SCHEMA, new DateTypeParser(this.config.parserTimestampTimezone, this.config.parserTimestampDateFormats),
      Time.SCHEMA, new TimeTypeParser(this.config.parserTimestampTimezone, this.config.parserTimestampDateFormats)
  );

  for (Map.Entry<Schema, TypeParser> kvp : dateTypeParsers.entrySet()) {
    this.parser.registerTypeParser(kvp.getKey(), kvp.getValue());
  }
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
private static JsonNode inferLogicalMapping(Schema schema) {
  String schemaName = schema.name();
  Object defaultValue = schema.defaultValue();
  if (schemaName == null) {
    return null;
  }

  switch (schemaName) {
    case Date.LOGICAL_NAME:
    case Time.LOGICAL_NAME:
    case Timestamp.LOGICAL_NAME:
      return inferPrimitive(ElasticsearchSinkConnectorConstants.DATE_TYPE, defaultValue);
    case Decimal.LOGICAL_NAME:
      return inferPrimitive(ElasticsearchSinkConnectorConstants.DOUBLE_TYPE, defaultValue);
    default:
      // User-defined type or unknown built-in
      return null;
  }
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
protected Schema createSchema() {
  Schema structSchema = createInnerSchema();
  return SchemaBuilder.struct().name("record")
      .field("boolean", Schema.BOOLEAN_SCHEMA)
      .field("bytes", Schema.BYTES_SCHEMA)
      .field("int8", Schema.INT8_SCHEMA)
      .field("int16", Schema.INT16_SCHEMA)
      .field("int32", Schema.INT32_SCHEMA)
      .field("int64", Schema.INT64_SCHEMA)
      .field("float32", Schema.FLOAT32_SCHEMA)
      .field("float64", Schema.FLOAT64_SCHEMA)
      .field("string", Schema.STRING_SCHEMA)
      .field("array", SchemaBuilder.array(Schema.STRING_SCHEMA).build())
      .field("map", SchemaBuilder.map(Schema.STRING_SCHEMA, Schema.STRING_SCHEMA).build())
      .field("struct", structSchema)
      .field("decimal", Decimal.schema(2))
      .field("date", Date.SCHEMA)
      .field("time", Time.SCHEMA)
      .field("timestamp", Timestamp.SCHEMA)
      .build();
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
private Schema createInnerSchema() {
  return SchemaBuilder.struct().name("inner")
      .field("boolean", Schema.BOOLEAN_SCHEMA)
      .field("bytes", Schema.BYTES_SCHEMA)
      .field("int8", Schema.INT8_SCHEMA)
      .field("int16", Schema.INT16_SCHEMA)
      .field("int32", Schema.INT32_SCHEMA)
      .field("int64", Schema.INT64_SCHEMA)
      .field("float32", Schema.FLOAT32_SCHEMA)
      .field("float64", Schema.FLOAT64_SCHEMA)
      .field("string", Schema.STRING_SCHEMA)
      .field("array", SchemaBuilder.array(Schema.STRING_SCHEMA).build())
      .field("map", SchemaBuilder.map(Schema.STRING_SCHEMA, Schema.STRING_SCHEMA).build())
      .field("decimal", Decimal.schema(2))
      .field("date", Date.SCHEMA)
      .field("time", Time.SCHEMA)
      .field("timestamp", Timestamp.SCHEMA)
      .build();
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void testWithSchemaTimestampToTime() {
    TimestampConverter<SourceRecord> xform = new TimestampConverter.Value<>();
    xform.configure(Collections.singletonMap(TimestampConverter.TARGET_TYPE_CONFIG, "Time"));
    SourceRecord transformed = xform.apply(new SourceRecord(null, null, "topic", 0, Timestamp.SCHEMA, DATE_PLUS_TIME.getTime()));

    assertEquals(Time.SCHEMA, transformed.valueSchema());
    assertEquals(TIME.getTime(), transformed.value());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void testWithSchemaTimeToTimestamp() {
    TimestampConverter<SourceRecord> xform = new TimestampConverter.Value<>();
    xform.configure(Collections.singletonMap(TimestampConverter.TARGET_TYPE_CONFIG, "Timestamp"));
    SourceRecord transformed = xform.apply(new SourceRecord(null, null, "topic", 0, Time.SCHEMA, TIME.getTime()));

    assertEquals(Timestamp.SCHEMA, transformed.valueSchema());
    // No change expected since the source type is coarser-grained
    assertEquals(TIME.getTime(), transformed.value());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void timeToConnect() {
    Schema schema = Time.SCHEMA;
    GregorianCalendar calendar = new GregorianCalendar(1970, Calendar.JANUARY, 1, 0, 0, 0);
    calendar.setTimeZone(TimeZone.getTimeZone("UTC"));
    calendar.add(Calendar.MILLISECOND, 14400000);
    java.util.Date reference = calendar.getTime();
    String msg = "{ \"schema\": { \"type\": \"int32\", \"name\": \"org.apache.kafka.connect.data.Time\", \"version\": 1 }, \"payload\": 14400000 }";
    SchemaAndValue schemaAndValue = converter.toConnectData(TOPIC, msg.getBytes());
    java.util.Date converted = (java.util.Date) schemaAndValue.value();
    assertEquals(schema, schemaAndValue.schema());
    assertEquals(reference, converted);
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void timeToConnectOptional() {
    Schema schema = Time.builder().optional().schema();
    String msg = "{ \"schema\": { \"type\": \"int32\", \"name\": \"org.apache.kafka.connect.data.Time\", \"version\": 1, \"optional\": true }, \"payload\": null }";
    SchemaAndValue schemaAndValue = converter.toConnectData(TOPIC, msg.getBytes());
    assertEquals(schema, schemaAndValue.schema());
    assertNull(schemaAndValue.value());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void timeToConnectWithDefaultValue() {
    java.util.Date reference = new java.util.Date(0);
    Schema schema = Time.builder().defaultValue(reference).schema();
    String msg = "{ \"schema\": { \"type\": \"int32\", \"name\": \"org.apache.kafka.connect.data.Time\", \"version\": 1, \"default\": 0 }, \"payload\": null }";
    SchemaAndValue schemaAndValue = converter.toConnectData(TOPIC, msg.getBytes());
    assertEquals(schema, schemaAndValue.schema());
    assertEquals(reference, schemaAndValue.value());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void timeToConnectOptionalWithDefaultValue() {
    java.util.Date reference = new java.util.Date(0);
    Schema schema = Time.builder().optional().defaultValue(reference).schema();
    String msg = "{ \"schema\": { \"type\": \"int32\", \"name\": \"org.apache.kafka.connect.data.Time\", \"version\": 1, \"optional\": true, \"default\": 0 }, \"payload\": null }";
    SchemaAndValue schemaAndValue = converter.toConnectData(TOPIC, msg.getBytes());
    assertEquals(schema, schemaAndValue.schema());
    assertEquals(reference, schemaAndValue.value());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
@Test
public void timeToJson() throws IOException {
    GregorianCalendar calendar = new GregorianCalendar(1970, Calendar.JANUARY, 1, 0, 0, 0);
    calendar.setTimeZone(TimeZone.getTimeZone("UTC"));
    calendar.add(Calendar.MILLISECOND, 14400000);
    java.util.Date date = calendar.getTime();

    JsonNode converted = parse(converter.fromConnectData(TOPIC, Time.SCHEMA, date));
    validateEnvelope(converted);
    assertEquals(parse("{ \"type\": \"int32\", \"optional\": false, \"name\": \"org.apache.kafka.connect.data.Time\", \"version\": 1 }"),
            converted.get(JsonSchema.ENVELOPE_SCHEMA_FIELD_NAME));
    JsonNode payload = converted.get(JsonSchema.ENVELOPE_PAYLOAD_FIELD_NAME);
    assertTrue(payload.isInt());
    assertEquals(14400000, payload.longValue());
}
 

import org.apache.kafka.connect.data.Time; //导入依赖的package包/类
static Object time(Schema schema, Object value) {
  if (value instanceof Number) {
    Number number = (Number) value;
    return Time.toLogical(schema, number.intValue());
  }
  return value;
}