com.datatorrent.api.Context Maven / Gradle / Ivy
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package com.datatorrent.api;
import java.io.Serializable;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import org.apache.hadoop.classification.InterfaceStability.Evolving;
import com.datatorrent.api.Attribute.AttributeMap;
import com.datatorrent.api.Operator.ProcessingMode;
import com.datatorrent.api.StringCodec.Class2String;
import com.datatorrent.api.StringCodec.Collection2String;
import com.datatorrent.api.StringCodec.Integer2String;
import com.datatorrent.api.StringCodec.JsonStringCodec;
import com.datatorrent.api.StringCodec.Map2String;
import com.datatorrent.api.StringCodec.Object2String;
import com.datatorrent.api.StringCodec.String2String;
import com.datatorrent.api.annotation.Stateless;
/**
* The base interface for context for all of the streaming platform objects
*
*
* @since 0.3.2
*/
public interface Context
{
/**
* Get the attributes associated with this context.
* The returned map does not contain any attributes that may have been defined in the parent context of this context.
*
* @return attributes defined for the current context.
*/
AttributeMap getAttributes();
/**
* Get the value of the attribute associated with the current key by recursively traversing the contexts upwards to
* the application level. If the attribute is not found, then return the defaultValue.
*
* @param - Type of the value stored against the attribute
* @param key - Attribute to identify the attribute.
* @return The value for the attribute if found or the defaultValue passed in as argument.
*/
T getValue(Attribute key);
/**
* Custom stats provided by the operator implementation. Reported as part of operator stats in the context of the
* current window, reset at window boundary.
*
* @param counters
* @deprecated use {@link AutoMetric}
*/
@Deprecated
void setCounters(Object counters);
/**
* This can be used to report only a subset of metrics in the context of the current application window. It
* will reset at the application window boundary.
*
* @param metricNames the name of all the metrics that will be reported to application master.
*/
void sendMetrics(Collection metricNames);
/**
* Aggregates counters of physical instances.
*
* @deprecated use {@link AutoMetric.Aggregator}
*/
@Deprecated
interface CountersAggregator
{
Object aggregate(Collection> countersList);
}
/**
* The interface to control the container JVM Opts based on the operator(s) configuration
*/
interface ContainerOptConfigurator extends Serializable
{
/**
* Get the container JVM opts based on the operator(s) configuration.
* @param operatorMetaList The list of operators that are assigned to the container
* @return The JVM options for the container
*/
String getJVMOptions(List operatorMetaList);
}
/**
* The streaming application master web service authentication enablement policy.
* ENABLE - Enable authentication for web service access.
* FOLLOW_HADOOP_AUTH - Follow Hadoop authentication, if hadoop authentication is enabled, i.e., if it is set to something
* other than "simple", enable authentication for web services as well.
* FOLLOW_HADOOP_HTTP_AUTH - Follow Hadoop HTTP authentication, if hadoop authentication is enabled, i.e., if it is
* set to something other than "simple", enable authentication for web services as well.
* DISABLE - Disable authentication for web services.
*/
enum StramHTTPAuthentication
{
ENABLE, FOLLOW_HADOOP_AUTH, FOLLOW_HADOOP_HTTP_AUTH, DISABLE
}
interface PortContext extends Context
{
/**
* Number of tuples the poll buffer can cache without blocking the input stream to the port.
*/
Attribute QUEUE_CAPACITY = new Attribute<>(1024);
/**
* The amount of buffer memory this port requires. There is a buffer server in each container. This is used to calculate total buffer server memory for container.
* Also due to the nature of the application, if buffer server needs to use more RAM, from time to time, this number may
* not be adhered to.
*/
Attribute BUFFER_MEMORY_MB = new Attribute<>(8 * 64);
/**
* Poll period in milliseconds when the port buffer reaches its limits.
*/
Attribute SPIN_MILLIS = new Attribute<>(10);
/**
* Input port attribute. Extend partitioning of an upstream operator w/o intermediate merge.
* Can be used to form parallel partitions that span a group of operators.
* Defined on input port to allow for stream to be shared with non-partitioned sinks.
* If multiple ports of an operator have the setting, incoming streams must track back to
* a common root partition, i.e. the operator join forks of the same origin.
*/
Attribute PARTITION_PARALLEL = new Attribute<>(false);
/**
* Attribute of output port to specify how many partitions should be merged by a single unifier instance. If the
* number of partitions exceeds the limit set, a cascading unifier plan will be created. For example, 4 partitions
* with the limit set to 2 will result in 3 unifiers arranged in 2 levels. The setting can be used to cap the
* network I/O or other resource requirement for each unifier container (depends on the specific functionality of
* the unifier), enabling horizontal scale by overcoming the single unifier bottleneck.
*/
Attribute UNIFIER_LIMIT = new Attribute<>(Integer.MAX_VALUE);
/**
* Attribute to specify that the final unifier be always a single unifier. This is useful when in MxN partitioning
* case there is a need to unify all the outputs of the M stage into a single unifier before sending the results to
* the N stage. The attribute can be specified either on the output port or the input port, the output port being
* the usual. The specification on the input port overrides that specified on the output port. This is useful in
* cases when an output port is connected to multiple input ports and different unifier behavior is desired for
* the inputs. In this case the default unifier behavior can be specified on the output port and individual
* exceptions can be specified on the corresponding input ports.
*/
Attribute UNIFIER_SINGLE_FINAL = new Attribute<>(Boolean.FALSE);
/**
* Whether or not to auto record the tuples
*/
Attribute AUTO_RECORD = new Attribute<>(false);
/**
* Whether the output is unified.
* This is a read-only attribute to query that whether the output of the operator from multiple instances is being unified.
*/
Attribute IS_OUTPUT_UNIFIED = new Attribute<>(false);
/**
* Provide the codec which can be used to serialize or deserialize the data
* that can be received on the port. If it is unspecified the engine may use
* a generic codec.
*/
Attribute> STREAM_CODEC = new Attribute<>(Object2String.>getInstance());
/**
* Provides the tuple class which the port receives or emits. While this attribute is null by default,
* whether it is needed or not is controlled through the port annotation.
*/
Attribute> TUPLE_CLASS = new Attribute<>(Class2String.getInstance());
@SuppressWarnings("FieldNameHidesFieldInSuperclass")
long serialVersionUID = AttributeMap.AttributeInitializer.initialize(PortContext.class);
}
interface OperatorContext extends Context
{
/**
* The windowId at which the operator's current run got activated.
* When the operator is deployed the first time during it's activation, this value is the default value
* of the operator. On subsequent run, it's the windowId of the checkpoint from which the operator state
* is recovered.
*/
Attribute ACTIVATION_WINDOW_ID = new Attribute<>(Stateless.WINDOW_ID);
/**
* It is a maximum poll period in milliseconds when there are no tuples available on any of the input ports of the
* operator. Platform uses the heuristic to change poll period from 0 to SPIN_MILLIS seconds.
* Default value is 10 milliseconds.
*/
Attribute SPIN_MILLIS = new Attribute<>(10);
/**
* The maximum number of attempts to restart a failing operator before shutting down the application.
* Until this number is reached, when an operator fails to start it is re-spawned in a new container. Once all the
* attempts are exhausted, the application is shutdown. The default value for this attribute is null or unset and
* is equivalent to infinity; The operator hence will be attempted to be recovered indefinitely unless this value
* is set to anything else.
*/
Attribute RECOVERY_ATTEMPTS = new Attribute<>(Integer2String.getInstance());
/**
* Specify a listener to process and optionally react to operator status updates.
* The handler will be called for each physical operator as statistics are updated during heartbeat processing.
*/
Attribute> STATS_LISTENERS = new Attribute<>(Collection2String.getInstance(",", Object2String.getInstance(":")));
/**
* Conveys whether the Operator is stateful or stateless. If the operator is stateless, no checkpointing is required
* by the engine. The attribute is ignored when the operator was already declared stateless through the
* {@link Stateless} annotation.
*/
Attribute STATELESS = new Attribute<>(false);
/**
* Memory resource that the operator requires for optimal functioning. Used to calculate total memory requirement for containers.
*/
Attribute MEMORY_MB = new Attribute<>(1024);
/**
* CPU Cores that the operator requires for optimal functioning. Used to calculate total CPU Cores requirement for containers.
*/
Attribute VCORES = new Attribute<>(0);
/**
* The options to be pass to JVM when launching the operator. Options such as java maximum heap size can be specified here.
*/
Attribute JVM_OPTIONS = new Attribute<>(String2String.getInstance());
/**
* Attribute of the operator that tells the platform how many streaming windows make 1 application window.
*/
Attribute APPLICATION_WINDOW_COUNT = new Attribute<>(1);
/**
* When set it changes the computation to sliding window computation where duration is determined using {@link #APPLICATION_WINDOW_COUNT} that is
* slided by duration determined using value of this attribute. Default value is null which is equivalent to that of {@link #APPLICATION_WINDOW_COUNT}.
* The value should range between (0 - {@link #APPLICATION_WINDOW_COUNT})
*/
Attribute SLIDE_BY_WINDOW_COUNT = new Attribute<>(Integer2String.getInstance());
/**
* Attribute of the operator that hints at the optimal checkpoint boundary.
* By default checkpointing happens after every predetermined streaming windows. Application developer can override
* this behavior by defining the following attribute. When this attribute is defined, checkpointing will be done after
* completion of later of regular checkpointing window and the window whose serial number is divisible by the attribute
* value. Typically user would define this value to be the same as that of APPLICATION_WINDOW_COUNT so checkpointing
* will be done at application window boundary.
*/
Attribute CHECKPOINT_WINDOW_COUNT = new Attribute<>(1);
/**
* Name of host to directly control locality of an operator. Complementary to stream locality (NODE_LOCAL affinity).
* For example, the user may wish to specify a locality constraint for an input operator relative to its data source.
* The attribute can then be set to the host name that is specified in the operator specific connect string property.
*/
Attribute LOCALITY_HOST = new Attribute<>(String2String.getInstance());
/**
* Name of rack to directly control locality of an operator. Complementary to stream locality (RACK_LOCAL affinity).
*/
Attribute LOCALITY_RACK = new Attribute<>(String2String.getInstance());
/**
* The agent which can be used to checkpoint the windows.
*/
Attribute STORAGE_AGENT = new Attribute<>(Object2String.getInstance());
/**
* The payload processing mode for this operator - at most once, exactly once, or default at least once.
* If the processing mode for an operator is specified as AT_MOST_ONCE and no processing mode is specified for the downstream
* operators if any, the processing mode of the downstream operators is automatically set to AT_MOST_ONCE. If a different processing
* mode is specified for the downstream operators it will result in an error.
* If the processing mode for an operator is specified as EXACTLY_ONCE then the processing mode for all downstream operators
* should be specified as AT_MOST_ONCE otherwise it will result in an error.
*/
Attribute PROCESSING_MODE = new Attribute<>(ProcessingMode.AT_LEAST_ONCE);
/**
* Timeout to identify stalled processing, specified as count of streaming windows. If the last processed
* window does not advance within the specified timeout count, the operator will be considered stuck and the
* container restart. There are multiple reasons this could happen: clock drift, hardware issue, networking issue,
* blocking operator logic, etc.
*/
Attribute TIMEOUT_WINDOW_COUNT = new Attribute<>(120);
/**
* Whether or not to auto record the tuples
*/
Attribute AUTO_RECORD = new Attribute<>(false);
/**
* How the operator distributes its state and share the input can be influenced by setting the Partitioner attribute.
* If this attribute is set to non null value, the instance of the partitioner is used to partition and merge the
* state of the operator and the inputs. If this attribute is set to null then default partitioning is used.
* If the attribute is not set and the operator implements Partitioner interface, then the instance of the operator
* is used otherwise default default partitioning is used.
*/
Attribute> PARTITIONER = new Attribute<>(Object2String.>getInstance());
/**
* Aggregates physical counters to a logical counter.
* @deprecated use {@link #METRICS_AGGREGATOR}
*/
@Deprecated
Attribute COUNTERS_AGGREGATOR = new Attribute<>(Object2String.getInstance());
/**
* Aggregates metrics of physical instances of an operator. This handler is called with the metrics data of a
* particular window from all the physical instances so that it can be aggregated into a logical view.
*/
Attribute METRICS_AGGREGATOR = new Attribute<>(Object2String.getInstance());
/**
* Provides dimension aggregations and time buckets information for logical metrics. The information provided
* by this construct is conveyed to tracker application and influences the aggregations done on it by the tracker.
*/
Attribute METRICS_DIMENSIONS_SCHEME = new Attribute<>(Object2String.getInstance());
/**
* Return the operator runtime id.
*
* @return The id
*/
int getId();
/**
* @return the logical operator name which was used to add the operator in tha DAG.
*/
String getName();
/**
* Return the number of windows before the next checkpoint including the current window.
* @return Number of windows from checkpoint, 1 if the checkpoint will be after the current window
*/
int getWindowsFromCheckpoint();
@SuppressWarnings("FieldNameHidesFieldInSuperclass")
long serialVersionUID = AttributeMap.AttributeInitializer.initialize(OperatorContext.class);
}
/**
*
* DAGContext interface.
*
* @since 0.3.2
*/
interface DAGContext extends Context
{
/**
* Name under which the application will be shown in the resource manager.
* If not set, the default is the configuration Java class or property file name.
*/
Attribute APPLICATION_NAME = new Attribute<>("unknown-application-name");
/**
* URL to the application's documentation.
*/
Attribute APPLICATION_DOC_LINK = new Attribute<>(String2String.getInstance());
/**
* URL to the application's app data, if any. If not set, an empty string is the default.
*
* Please note that if the string "{appId}"
is present in this atttribute value, the
* DataTorrent UI Console will replace it with the full application ID. For example, if it is set
* to "http://mynetwork.net/my/appdata/dashboard?appId={appId}"
, it will be converted to
* "http://mynetwork.net/my/appdata/dashboard?appId=application_1355713111917_0002"
.
*
*/
Attribute APPLICATION_DATA_LINK = new Attribute<>(String2String.getInstance());
/**
* Transport to push the stats and the metrics.
* If using the built-in transport, please use an AutoMetricBuiltInTransport object
*/
Attribute METRICS_TRANSPORT = new Attribute<>(Object2String.getInstance());
/**
* Application instance identifier. An application with the same name can run in multiple instances, each with a
* unique identifier. The identifier is set by the client that submits the application and can be used in operators
* along with the operator ID to segregate output etc.
*
* When running in distributed mode, the value is the YARN application id as shown in the resource manager (example:
* application_1355713111917_0002
). Note that only the full id string uniquely identifies an application,
* the integer offset will reset on RM restart.
*/
Attribute APPLICATION_ID = new Attribute<>(String2String.getInstance());
/**
* Application package source. If the application is launched using an app package, this attribute contains the
* information of the app package. It is in the format of {user}|{appPackageName}|{appPackageVersion}
*/
Attribute APP_PACKAGE_SOURCE = new Attribute<>(String2String.getInstance());
/**
* Dump extra debug information in launcher, master and containers.
*/
Attribute DEBUG = new Attribute<>(false);
/**
* The options to be pass to JVM when launching the containers. Options such as java maximum heap size can be specified here.
*/
Attribute CONTAINER_JVM_OPTIONS = new Attribute<>(String2String.getInstance());
/**
* The options of dynamic apex logger appender
*/
Attribute LOGGER_APPENDER = new Attribute<>(String2String.getInstance());
/**
* The amount of memory to be requested for the application master. Not used in local mode.
* Default value is 1GB.
*/
Attribute MASTER_MEMORY_MB = new Attribute<>(1024);
/**
* Where to spool the data once the buffer server capacity is reached.
*/
Attribute BUFFER_SPOOLING = new Attribute<>(true);
/**
* The streaming window size to use for the application. It is specified in milliseconds. Default value is 500ms.
*/
Attribute STREAMING_WINDOW_SIZE_MILLIS = new Attribute<>(500);
/**
* The time interval for saving the operator state. It is specified as a multiple of streaming windows. The operator
* state is saved periodically with interval equal to the checkpoint interval. Default value is 60 streaming windows.
*/
Attribute CHECKPOINT_WINDOW_COUNT = new Attribute<>(60);
/**
* The path to store application dependencies, recording and other generated files for application master and containers.
*/
Attribute APPLICATION_PATH = new Attribute<>(String2String.getInstance());
/**
* The size limit for a file where tuple recordings are stored. When tuples are being recorded they are stored
* in files. When a file size reaches this limit a new file is created and tuples start getting stored in the new file. Default value is 128k.
*/
Attribute TUPLE_RECORDING_PART_FILE_SIZE = new Attribute<>(128 * 1024);
/**
* The time limit for a file where tuple recordings are stored. When tuples are being recorded they are stored
* in files. When a tuple recording file creation time falls beyond the time limit window from the current time a new file
* is created and the tuples start getting stored in the new file. Default value is 30hrs.
*/
Attribute TUPLE_RECORDING_PART_FILE_TIME_MILLIS = new Attribute<>(30 * 60 * 60 * 1000);
/**
* Address of optional web-socket pub-sub gateway to emit application events, in the form of host:port.
*/
Attribute GATEWAY_CONNECT_ADDRESS = new Attribute<>(String2String.getInstance());
/**
* Whether or not gateway is expecting SSL connection.
*/
Attribute GATEWAY_USE_SSL = new Attribute<>(false);
/**
* The username for logging in to the gateway, if authentication is enabled.
*/
Attribute GATEWAY_USER_NAME = new Attribute<>(String2String.getInstance());
/**
* The password for logging in to the gateway, if authentication is enabled.
*/
Attribute GATEWAY_PASSWORD = new Attribute<>(String2String.getInstance());
/**
* The timeout when connecting to the pubsub service in gateway
*/
Attribute PUBSUB_CONNECT_TIMEOUT_MILLIS = new Attribute<>(500);
/**
* Maximum number of simultaneous heartbeat connections to process. Default value is 30.
*/
Attribute HEARTBEAT_LISTENER_THREAD_COUNT = new Attribute<>(30);
/**
* How frequently should operators heartbeat to stram. Recommended setting is
* 1000ms. Value 0 will disable heartbeat (for unit testing). Default value is 1000ms.
*/
Attribute HEARTBEAT_INTERVAL_MILLIS = new Attribute<>(1000);
/**
* Timeout for master to identify a hung container (full GC etc.). Timeout will result in container restart.
* Default value is 30s.
*/
Attribute HEARTBEAT_TIMEOUT_MILLIS = new Attribute<>(30 * 1000);
/**
* Timeout for allocating container resources. Default value is 60s.
*/
Attribute RESOURCE_ALLOCATION_TIMEOUT_MILLIS = new Attribute<>(Integer.MAX_VALUE);
/**
* Maximum number of windows that can be pending for statistics calculation. Statistics are computed when
* the metrics are available from all operators for a window. If the information is not available from all operators then
* the window is pending. When the number of pending windows reaches this limit the information for the oldest window
* is purged. Default value is 1000 windows.
*/
Attribute STATS_MAX_ALLOWABLE_WINDOWS_LAG = new Attribute<>(1000);
/**
* Whether or not we record statistics. The statistics are recorded for each heartbeat if enabled. The default value is false.
*/
Attribute ENABLE_STATS_RECORDING = new Attribute<>(false);
/**
* The time interval for throughput calculation. The throughput is periodically calculated with interval greater than or
* equal to the throughput calculation interval. The default value is 10s.
*/
Attribute THROUGHPUT_CALCULATION_INTERVAL = new Attribute<>(10000);
/**
* The maximum number of samples to use when calculating throughput. In practice fewer samples may be used
* if the THROUGHPUT_CALCULATION_INTERVAL is exceeded. Default value is 1000 samples.
*/
Attribute THROUGHPUT_CALCULATION_MAX_SAMPLES = new Attribute<>(1000);
/**
* The number of samples to use when using RPC latency to compensate for clock skews and network latency when
* calculating stats. Specify 0 if RPC latency should not be used at all to calculate stats. Default value is 100
* samples.
*/
Attribute RPC_LATENCY_COMPENSATION_SAMPLES = new Attribute<>(100);
/**
* The agent which can be used to find the jvm options for the container.
*/
Attribute CONTAINER_OPTS_CONFIGURATOR = new Attribute<>(Object2String.getInstance());
/**
* The policy for enabling stram web services authentication.
* See {@link StramHTTPAuthentication} for the different options.
* Default value is StramHTTPAuthentication.FOLLOW_HADOOP_AUTH
*/
Attribute STRAM_HTTP_AUTHENTICATION = new Attribute<>(StramHTTPAuthentication.FOLLOW_HADOOP_AUTH, StringCodec.Enum2String.getInstance(StramHTTPAuthentication.class));
/**
* The string codec map for classes that are to be set or get through properties as strings.
* Only supports string codecs that have a constructor with no arguments
*/
Attribute