com.google.api.services.healthcare.v1.model

Class StreamConfig

java.lang.Object

java.util.AbstractMap<String,Object>

com.google.api.client.util.GenericData

com.google.api.client.json.GenericJson

com.google.api.services.healthcare.v1.model.StreamConfig

All Implemented Interfaces:

Cloneable, Map<String,Object>

public final class StreamConfig
extends GenericJson

Contains configuration for streaming FHIR export.

This is the Java data model class that specifies how to parse/serialize into the JSON that is transmitted over HTTP when working with the Cloud Healthcare API. For a detailed explanation see: https://developers.google.com/api-client-library/java/google-http-java-client/json

Author:

Google, Inc.

Nested Class Summary

Nested classes/interfaces inherited from class com.google.api.client.util.GenericData

GenericData.Flags

Nested classes/interfaces inherited from class java.util.AbstractMap

AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>

Nested classes/interfaces inherited from interface java.util.Map

Map.Entry<K,V>

Constructor Summary

Constructors

Constructor and Description
StreamConfig()

Method Summary

Modifier and Type	Method and Description
StreamConfig	clone()
GoogleCloudHealthcareV1FhirBigQueryDestination	getBigqueryDestination() The destination BigQuery structure that contains both the dataset location and corresponding schema config.
List<String>	getResourceTypes() Supply a FHIR resource type (such as "Patient" or "Observation").
StreamConfig	set(String fieldName, Object value)
StreamConfig	setBigqueryDestination(GoogleCloudHealthcareV1FhirBigQueryDestination bigqueryDestination) The destination BigQuery structure that contains both the dataset location and corresponding schema config.
StreamConfig	setResourceTypes(List<String> resourceTypes) Supply a FHIR resource type (such as "Patient" or "Observation").

Methods inherited from class com.google.api.client.json.GenericJson

getFactory, setFactory, toPrettyString, toString

Methods inherited from class com.google.api.client.util.GenericData

entrySet, equals, get, getClassInfo, getUnknownKeys, hashCode, put, putAll, remove, setUnknownKeys

Methods inherited from class java.util.AbstractMap

clear, containsKey, containsValue, isEmpty, keySet, size, values

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Map

compute, computeIfAbsent, computeIfPresent, forEach, getOrDefault, merge, putIfAbsent, remove, replace, replace, replaceAll

Constructor Detail

StreamConfig

public StreamConfig()

Method Detail

getBigqueryDestination

public GoogleCloudHealthcareV1FhirBigQueryDestination getBigqueryDestination()

The destination BigQuery structure that contains both the dataset location and corresponding schema config. The output is organized in one table per resource type. The server reuses the existing tables (if any) that are named after the resource types. For example, "Patient", "Observation". When there is no existing table for a given resource type, the server attempts to create one. When a table schema doesn't align with the schema config, either because of existing incompatible schema or out of band incompatible modification, the server does not stream in new data. BigQuery imposes a 1 MB limit on streaming insert row size, therefore any resource mutation that generates more than 1 MB of BigQuery data is not streamed. One resolution in this case is to delete the incompatible table and let the server recreate one, though the newly created table only contains data after the table recreation. Results are written to BigQuery tables according to the parameters in BigQueryDestination.WriteDisposition. Different versions of the same resource are distinguishable by the meta.versionId and meta.lastUpdated columns. The operation (CREATE/UPDATE/DELETE) that results in the new version is recorded in the meta.tag. The tables contain all historical resource versions since streaming was enabled. For query convenience, the server also creates one view per table of the same name containing only the current resource version. The streamed data in the BigQuery dataset is not guaranteed to be completely unique. The combination of the id and meta.versionId columns should ideally identify a single unique row. But in rare cases, duplicates may exist. At query time, users may use the SQL select statement to keep only one of the duplicate rows given an id and meta.versionId pair. Alternatively, the server created view mentioned above also filters out duplicates. If a resource mutation cannot be streamed to BigQuery, errors are logged to Cloud Logging. For more information, see [Viewing error logs in Cloud Logging](https://cloud.google.com/healthcare/docs/how-tos/logging)).

Returns:

value or null for none

setBigqueryDestination

public StreamConfig setBigqueryDestination(GoogleCloudHealthcareV1FhirBigQueryDestination bigqueryDestination)

The destination BigQuery structure that contains both the dataset location and corresponding schema config. The output is organized in one table per resource type. The server reuses the existing tables (if any) that are named after the resource types. For example, "Patient", "Observation". When there is no existing table for a given resource type, the server attempts to create one. When a table schema doesn't align with the schema config, either because of existing incompatible schema or out of band incompatible modification, the server does not stream in new data. BigQuery imposes a 1 MB limit on streaming insert row size, therefore any resource mutation that generates more than 1 MB of BigQuery data is not streamed. One resolution in this case is to delete the incompatible table and let the server recreate one, though the newly created table only contains data after the table recreation. Results are written to BigQuery tables according to the parameters in BigQueryDestination.WriteDisposition. Different versions of the same resource are distinguishable by the meta.versionId and meta.lastUpdated columns. The operation (CREATE/UPDATE/DELETE) that results in the new version is recorded in the meta.tag. The tables contain all historical resource versions since streaming was enabled. For query convenience, the server also creates one view per table of the same name containing only the current resource version. The streamed data in the BigQuery dataset is not guaranteed to be completely unique. The combination of the id and meta.versionId columns should ideally identify a single unique row. But in rare cases, duplicates may exist. At query time, users may use the SQL select statement to keep only one of the duplicate rows given an id and meta.versionId pair. Alternatively, the server created view mentioned above also filters out duplicates. If a resource mutation cannot be streamed to BigQuery, errors are logged to Cloud Logging. For more information, see [Viewing error logs in Cloud Logging](https://cloud.google.com/healthcare/docs/how-tos/logging)).

Parameters:

bigqueryDestination - bigqueryDestination or null for none

getResourceTypes

public List<String> getResourceTypes()

Supply a FHIR resource type (such as "Patient" or "Observation"). See https://www.hl7.org/fhir /valueset-resource-types.html for a list of all FHIR resource types. The server treats an empty list as an intent to stream all the supported resource types in this FHIR store.

Returns:

value or null for none

setResourceTypes

public StreamConfig setResourceTypes(List<String> resourceTypes)

Supply a FHIR resource type (such as "Patient" or "Observation"). See https://www.hl7.org/fhir /valueset-resource-types.html for a list of all FHIR resource types. The server treats an empty list as an intent to stream all the supported resource types in this FHIR store.

Parameters:

resourceTypes - resourceTypes or null for none

set

public StreamConfig set(String fieldName,
                        Object value)

Overrides:

set in class GenericJson

clone

public StreamConfig clone()

Overrides:

clone in class GenericJson