Java Default.InstanceFactory方法代码示例

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
/**
 * The ExecutorService instance to use to create threads, can be overridden to specify an
 * ExecutorService that is compatible with the users environment. If unset, the
 * default is to create an ExecutorService with an unbounded number of threads; this
 * is compatible with Google AppEngine.
 */
@JsonIgnore
@Description("The ExecutorService instance to use to create multiple threads. Can be overridden "
    + "to specify an ExecutorService that is compatible with the users environment. If unset, "
    + "the default is to create an ExecutorService with an unbounded number of threads; this "
    + "is compatible with Google AppEngine.")
@Default.InstanceFactory(ExecutorServiceFactory.class)
@Hidden
ExecutorService getExecutorService();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
/**
 * The credential instance that should be used to authenticate against GCP services.
 * If no credential has been set explicitly, the default is to use the instance factory
 * that constructs a credential based upon the currently set credentialFactoryClass.
 */
@JsonIgnore
@Description("The credential instance that should be used to authenticate against GCP services. "
    + "If no credential has been set explicitly, the default is to use the instance factory "
    + "that constructs a credential based upon the currently set credentialFactoryClass.")
@Default.InstanceFactory(GcpUserCredentialsFactory.class)
Credentials getGcpCredential();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("A list of Hadoop configurations used to configure zero or more Hadoop filesystems. "
    + "By default, Hadoop configuration is loaded from 'core-site.xml' and 'hdfs-site.xml' "
    + "based upon the HADOOP_CONF_DIR and YARN_CONF_DIR environment variables. "
    + "To specify configuration on the command-line, represent the value as a JSON list of JSON "
    + "maps, where each map represents the entire configuration for a single Hadoop filesystem. "
    + "For example --hdfsConfiguration='[{\"fs.default.name\": \"hdfs://localhost:9998\", ...},"
    + "{\"fs.default.name\": \"s3a://\", ...},...]'")
@Default.InstanceFactory(ConfigurationLocator.class)
List<Configuration> getHdfsConfiguration();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("Path of the file to write to")
@Default.InstanceFactory(OutputFactory.class)
String getOutput();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("Minimum randomly assigned timestamp, in milliseconds-since-epoch")
@Default.InstanceFactory(DefaultToCurrentSystemTime.class)
Long getMinTimestampMillis();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("Project id. Required when running a Dataflow in the cloud. "
    + "See https://cloud.google.com/storage/docs/projects for further details.")
@Override
@Validation.Required
@Default.InstanceFactory(DefaultProjectFactory.class)
String getProject();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("Pub/Sub topic")
@Default.InstanceFactory(PubsubTopicFactory.class)
String getPubsubTopic();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("BigQuery table name")
@Default.InstanceFactory(BigQueryTableFactory.class)
String getBigQueryTable();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("Pub/Sub subscription")
@Default.InstanceFactory(PubsubSubscriptionFactory.class)
String getPubsubSubscription();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
/**
 * An instance of the Dataflow client. Defaults to creating a Dataflow client
 * using the current set of options.
 */
@JsonIgnore
@Description("An instance of the Dataflow client. Defaults to creating a Dataflow client "
    + "using the current set of options.")
@Default.InstanceFactory(DataflowClientFactory.class)
Dataflow getDataflowClient();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
/**
 * Project id to use when launching jobs.
 */
@Description("Project id. Required when using Google Cloud Platform services. "
    + "See https://cloud.google.com/storage/docs/projects for further details.")
@Default.InstanceFactory(DefaultProjectFactory.class)
String getProject();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Default.InstanceFactory(AlwaysPassMatcherFactory.class)
@JsonIgnore
SerializableMatcher<PipelineResult> getOnCreateMatcher();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Default.InstanceFactory(AlwaysPassMatcherFactory.class)
@JsonIgnore
SerializableMatcher<PipelineResult> getOnSuccessMatcher();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("A watermark (time in millis) that causes a pipeline that reads "
    + "from an unbounded source to stop.")
@Default.InstanceFactory(DefaultStopPipelineWatermarkFactory.class)
Long getStopPipelineWatermark();
 

import org.apache.beam.sdk.options.Default; //导入方法依赖的package包/类
@Description("A checkpoint directory for streaming resilience, ignored in batch. "
    + "For durability, a reliable filesystem such as HDFS/S3/GS is necessary.")
@Default.InstanceFactory(TmpCheckpointDirFactory.class)
String getCheckpointDir();