Package com.cognite.client
Class Timeseries
java.lang.Object
com.cognite.client.Timeseries
- All Implemented Interfaces:
UpsertTarget<TimeseriesMetadata,TimeseriesMetadata>
public abstract class Timeseries
extends Object
implements UpsertTarget<TimeseriesMetadata,TimeseriesMetadata>
This class represents the Cognite timeseries api endpoint.
It provides methods for reading and writing
TimeseriesMetadata.-
Field Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionprotected RequestaddAuthInfo(Request request) Adds the required authentication information into the request object.protected Aggregateaggregate(ResourceType resourceType, Request requestParameters) Performs an item aggregation request to Cognite Data Fusion.Performs an item aggregation request to Cognite Data Fusion.buildPartitionsList(int noPartitions) Builds an array of partition specifications for parallel retrieval from the Cognite api.ReturnsDataPointsrepresenting the time series data points api.deDuplicate(Collection<Item> itemList) De-duplicates a collection ofItem.Deletes a set of TimeseriesMetadata.abstract CogniteClientprotected Iterator<CompletableFuture<ResponseItems<String>>>getListResponseIterator(ResourceType resourceType, Request requestParameters) protected booleanitemsHaveId(Collection<Item> items) Returns true if all items contain either an externalId or id.list()Returns allTimeseriesMetadataobjects.Returns allTimeseriesMetadataobject that matches the filters set in theRequest.Returns allTimeseriesMetadataobjects that matches the filters set in theRequestfor the specified partitions.listJson(ResourceType resourceType, Request requestParameters, String... partitions) Will return the results from alist / filterapi endpoint.listJson(ResourceType resourceType, Request requestParameters, String partitionKey, String... partitions) Will return the results from alist / filterapi endpoint.mapItemToId(Collection<Item> items) Maps all items to their externalId (primary) or id (secondary).static Timeseriesof(CogniteClient client) Construct a newTimeseriesobject using the provided configuration.parseItems(List<String> input) Parses a list of item object in json representation to typed objects.protected StringReturns the name attribute value from a json input.protected StringparseString(String itemJson, String fieldName) Try parsing the specified Json path as aString.retrieve(long... id) Retrieve timeseries byinternal id.Retrieve timeseries byexternalId.Retrieves timeseries byexternalId / id.retrieveJson(ResourceType resourceType, Collection<Item> items) Retrieve items by id.retrieveJson(ResourceType resourceType, Collection<Item> items, Map<String, Object> parameters) Retrieve items by id.toRequestItems(Collection<Item> itemList) Converts a list ofItemto a request object structure (that can later be parsed to Json).Returns an upload queue.upsert(List<TimeseriesMetadata> timeseries) Creates or update a set ofTimeseriesMetadataobjects.
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Field Details
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LOG
protected static final org.slf4j.Logger LOG
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Constructor Details
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Timeseries
public Timeseries()
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Method Details
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of
Construct a newTimeseriesobject using the provided configuration. This method is intended for internal use--SDK clients should always useCogniteClientas the entry point to this class.- Parameters:
client- TheCogniteClientto use for configuration settings.- Returns:
- the assets api object.
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dataPoints
ReturnsDataPointsrepresenting the time series data points api.Example:
client.timeseries().dataPoints();- Returns:
- The time series data points api object.
- See Also:
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list
Returns allTimeseriesMetadataobjects.Example:
API Reference - Filter time seriesList<TimeseriesMetadata> listResults = new ArrayList<>(); client.timeseries() .list() .forEachRemaining(listResults::addAll);- Throws:
Exception- See Also:
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list
Returns allTimeseriesMetadataobject that matches the filters set in theRequest. The results are paged through / iterated over via anIterator--the entire results set is not buffered in memory, but streamed in "pages" from the Cognite api. If you need to buffer the entire results set, then you have to stream these results into your own data structure. The timeseries are retrieved using multiple, parallel request streams towards the Cognite api. The number of parallel streams are set in theClientConfig.Example:
API Reference - Filter time seriesList<TimeseriesMetadata> listResults = new ArrayList<>(); client.timeseries() .list(Request.create() .withFilterMetadataParameter("source", "source")) .forEachRemaining(listResults::addAll); -
list
public Iterator<List<TimeseriesMetadata>> list(Request requestParameters, String... partitions) throws Exception Returns allTimeseriesMetadataobjects that matches the filters set in theRequestfor the specified partitions. This method is intended for advanced use cases where you need direct control over the individual partitions. For example, when using the SDK in a distributed computing environment. The results are paged through / iterated over via anIterator--the entire results set is not buffered in memory, but streamed in "pages" from the Cognite api. If you need to buffer the entire results set, then you have to stream these results into your own data structure.Example:
API Reference - Filter time seriesList<TimeseriesMetadata> listResults = new ArrayList<>(); client.timeseries() .list(Request.create() .withFilterMetadataParameter("published", true), "1/8","2/8","3/8","4/8","5/8","6/8","7/8","8/8") .forEachRemaining(listResults::addAll); -
retrieve
Retrieve timeseries byexternalId.Example:
API Reference - Retrieve time seriesList<TimeseriesMetadata> retrievedTimeseries = client.timeseries().retrieve("1","2");- Parameters:
externalId- TheexternalIdsto retrieve- Returns:
- The retrieved timeseries.
- Throws:
Exception- See Also:
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retrieve
Retrieve timeseries byinternal id.Example:
API Reference - Retrieve time seriesList<TimeseriesMetadata> retrievedTimeseries = client.timeseries().retrieve(1,2);- Parameters:
id- Theidsto retrieve- Returns:
- The retrieved timeseries.
- Throws:
Exception- See Also:
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retrieve
Retrieves timeseries byexternalId / id.Example:
API Reference - Retrieve time seriesList<Item> items = List.of(Item.newBuilder().setExternalId("1").build()); List<TimeseriesMetadata> retrievedTimeseries = client.timeseries().retrieve(items);- Parameters:
items- The item(s)externalId / idto retrieve.- Returns:
- The retrieved timeseries.
- Throws:
Exception- See Also:
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aggregate
Performs an item aggregation request to Cognite Data Fusion. The default aggregation is a total item count based on the (optional) filters in the request. Multiple aggregation types are supported. Please refer to the Cognite API specification for more information on the possible settings.Example:
API Reference - Aggregate time seriesAggregate aggregateResult = client.timeseries() .aggregate(Request.create() .withFilterMetadataParameter("source", "source"));- Parameters:
requestParameters- The filtering and aggregates specification.- Returns:
- The aggregation results.
- Throws:
Exception- See Also:
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upsert
Creates or update a set ofTimeseriesMetadataobjects. If it is a newTimeseriesMetadataobject (based on theid / externalId, then it will be created. If anTimeseriesMetadataobject already exists in Cognite Data Fusion, it will be updated. The update behaviour is specified via the update mode in theClientConfigsettings.Example:
API Reference - Create time seriesList<TimeseriesMetadata> timeseries = // List of TimeseriesMetadata; client.timeseries().upsert(timeseries);
API Reference - Update time series- Specified by:
upsertin interfaceUpsertTarget<TimeseriesMetadata,TimeseriesMetadata> - Parameters:
timeseries- The timeseries to upsert- Returns:
- The upserted timeseries
- Throws:
Exception- See Also:
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ApiBase.UpsertItems.upsertViaCreateAndUpdate(List)CogniteClientCogniteClient.timeseries()
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uploadQueue
Returns an upload queue. The upload queue helps improve performance by batching items together before uploading them to Cognite Data Fusion.- Returns:
- The upload queue.
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delete
Deletes a set of TimeseriesMetadata.The TimeseriesMetadata to delete are identified via their
externalId / idby submitting a list ofItem.Example:
API Reference - Delete time seriesList<Item> timeseries = List.of(Item.newBuilder().setExternalId("1").build()); List<Item> deletedItemsResults = client.timeseries().delete(timeseries);- Parameters:
timeseries-- Returns:
- Throws:
Exception- See Also:
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ApiBase.DeleteItems.deleteItems(List)CogniteClientCogniteClient.timeseries()
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getClient
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buildPartitionsList
Builds an array of partition specifications for parallel retrieval from the Cognite api. This specification is used as a parameter together with the filter / list endpoints. The number of partitions indicate the number of parallel read streams. Employ one partition specification per read stream.Example:
List<String> partitions = buildPartitionsList(getClient().getClientConfig().getNoListPartitions());- Parameters:
noPartitions- The total number of partitions- Returns:
- a
Listof partition specifications
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listJson
protected Iterator<List<String>> listJson(ResourceType resourceType, Request requestParameters, String... partitions) throws Exception Will return the results from alist / filterapi endpoint. For example, thefilter assetsendpoint. The results are paged through / iterated over via anIterator--the entire results set is not buffered in memory, but streamed in "pages" from the Cognite api. If you need to buffer the entire results set, then you have to stream these results into your own data structure. This method support parallel retrieval via a set ofpartitionspecifications. The specified partitions will be collected and merged together before being returned via theIterator.Example:
Iterator<List<String>> result = listJson(resourceType, requestParameters, partitions);- Parameters:
resourceType- The resource type to query / filter / list. Ex.event, asset, time series.requestParameters- The query / filter specification. Follows the Cognite api request parameters.partitions- An optional set of partitions to read via.- Returns:
- an
Iteratorover the results set. - Throws:
Exception- See Also:
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listJson
protected Iterator<List<String>> listJson(ResourceType resourceType, Request requestParameters, String partitionKey, String... partitions) throws Exception Will return the results from alist / filterapi endpoint. For example, thefilter assetsendpoint. The results are paged through / iterated over via anIterator--the entire results set is not buffered in memory, but streamed in "pages" from the Cognite api. If you need to buffer the entire results set, then you have to stream these results into your own data structure. This method support parallel retrieval via a set ofpartitionspecifications. The specified partitions will be collected and merged together before being returned via theIterator.Example:
Iterator<List<String>> result = listJson(resourceType, requestParameters, partitionKey, partitions);- Parameters:
resourceType- The resource type to query / filter / list. Ex.event, asset, time series.requestParameters- The query / filter specification. Follows the Cognite api request parameters.partitionKey- The key to use for the partitions in the read request. For examplepartitionorcursor.partitions- An optional set of partitions to read via.- Returns:
- an
Iteratorover the results set. - Throws:
Exception
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retrieveJson
protected List<String> retrieveJson(ResourceType resourceType, Collection<Item> items) throws Exception Retrieve items by id. Will ignore unknown ids by default.Example:
Collection<Item> items = //Collection of items with ids; List<String> result = retrieveJson(resourceType, items); -
retrieveJson
protected List<String> retrieveJson(ResourceType resourceType, Collection<Item> items, Map<String, Object> parameters) throws ExceptionRetrieve items by id. This version allows you to explicitly set additional parameters for the retrieve request. For example:<"ignoreUnknownIds", true>and<"fetchResources", true>.Example:
Collection<Item> items = //Collection of items with ids; Map<String, Object> parameters = //Parameters; List<String> result = retrieveJson(resourceType, items, parameters); -
aggregate
protected Aggregate aggregate(ResourceType resourceType, Request requestParameters) throws Exception Performs an item aggregation request to Cognite Data Fusion. The default aggregation is a total item count based on the (optional) filters in the request. Some resource types, for exampleEvent, supports multiple types of aggregation.Example:
Aggregate aggregateResult = aggregate(resourceType,requestParameters);- Parameters:
resourceType- The resource type to perform aggregation of.requestParameters- The request containing filters.- Returns:
- The aggregation result.
- Throws:
Exception- See Also:
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addAuthInfo
Adds the required authentication information into the request object. If the request object already have complete auth info nothing will be added. The following authentication schemes are supported: 1) API key. When using an api key, this service will look up the corresponding project/tenant to issue requests to.Example:
Request requestParams = addAuthInfo(request);- Parameters:
request- The request to enrich with auth information.- Returns:
- The request parameters with auth info added to it.
- Throws:
Exception
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getListResponseIterator
protected Iterator<CompletableFuture<ResponseItems<String>>> getListResponseIterator(ResourceType resourceType, Request requestParameters) throws Exception - Throws:
Exception
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parseItems
Parses a list of item object in json representation to typed objects.Example:
List<String> input = //List of json; List<Item> resultList = parseItems(input);- Parameters:
input- the item list in Json string representation- Returns:
- the parsed item objects
- Throws:
Exception
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toRequestItems
Converts a list ofItemto a request object structure (that can later be parsed to Json).Example:
Collection<Item> itemList = //Collection of items; List<Map<String, Object>> result = toRequestItems(itemList);- Parameters:
itemList- The items to parse.- Returns:
- The items in request item object form.
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deDuplicate
De-duplicates a collection ofItem.Example:
Collection<Item> itemList = //Collection of items; List<Item> result = deDuplicate(itemList);- Parameters:
itemList-- Returns:
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itemsHaveId
Returns true if all items contain either an externalId or id.Example:
Collection<Item> items = //Collection of items; boolean result = itemsHaveId(items);- Parameters:
items-- Returns:
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mapItemToId
Maps all items to their externalId (primary) or id (secondary). If the id function does not return any identity, the item will be mapped to the empty string. Via the identity mapping, this function will also perform deduplication of the input items.Example:
Collection<Item> items = //Collection of items; Map<String, Item> result = mapItemToId(items);- Parameters:
items- the items to map to externalId / id.- Returns:
- the
Mapwith all items mapped to externalId / id.
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parseString
Try parsing the specified Json path as aString.Example:
String json = //String of json object String result = parseString(json, "name");- Parameters:
itemJson- The Json stringfieldName- The Json path to parse- Returns:
- The Json path as a
String.
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parseName
Returns the name attribute value from a json input.Example:
String json = //String of json object String result = parseName(json);- Parameters:
json- the json to parse- Returns:
- The name value
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