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https://issues.apache.org/jira/browse/BEAM-2953?focusedWorklogId=152499&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-152499
]
ASF GitHub Bot logged work on BEAM-2953:
----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Oct/18 03:09
Start Date: 09/Oct/18 03:09
Worklog Time Spent: 10m
Work Description: rezarokni commented on a change in pull request #6540:
[BEAM-2953] Advanced Timeseries examples.
URL: https://github.com/apache/beam/pull/6540#discussion_r223549582
##########
File path:
examples/java/src/main/java/org/apache/beam/examples/timeseries/TimeSeriesExampleToFile.java
##########
@@ -0,0 +1,153 @@
+/*
+ * 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 org.apache.beam.examples.timeseries;
+
+import com.google.protobuf.util.Timestamps;
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.beam.examples.timeseries.configuration.TSConfiguration;
+import org.apache.beam.examples.timeseries.io.tf.TFSequenceExampleToBytes;
+import
org.apache.beam.examples.timeseries.io.tf.TSAccumSequenceToTFSequencExample;
+import org.apache.beam.examples.timeseries.protos.TimeSeriesData;
+import org.apache.beam.examples.timeseries.transforms.DebugSortedResult;
+import org.apache.beam.examples.timeseries.transforms.ExtractAggregates;
+import org.apache.beam.examples.timeseries.transforms.OrderOutput;
+import org.apache.beam.examples.timeseries.transforms.TSAccumToFixedWindowSeq;
+import org.apache.beam.examples.timeseries.utils.TSMultiVariateDataPoints;
+import org.apache.beam.sdk.Pipeline;
+import org.apache.beam.sdk.annotations.Experimental;
+import org.apache.beam.sdk.io.TFRecordIO;
+import org.apache.beam.sdk.options.PipelineOptionsFactory;
+import org.apache.beam.sdk.transforms.Create;
+import org.apache.beam.sdk.transforms.ParDo;
+import org.apache.beam.sdk.values.KV;
+import org.apache.beam.sdk.values.PCollection;
+import org.joda.time.Duration;
+import org.joda.time.Instant;
+
+/**
+ * This example pipeline is used to illustrate an advanced use of Keyed state
and timers. The
+ * pipeline extracts interesting information from timeseries data. One of the
key elements, is the
Review comment:
Would it be ok to add this material to the README.MD ? It will also allow me
to add tables etc to help illustrate what the library is doing.
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Issue Time Tracking
-------------------
Worklog Id: (was: 152499)
Time Spent: 3h 10m (was: 3h)
> Create more advanced Timeseries processing examples using state API
> -------------------------------------------------------------------
>
> Key: BEAM-2953
> URL: https://issues.apache.org/jira/browse/BEAM-2953
> Project: Beam
> Issue Type: Improvement
> Components: examples-java
> Affects Versions: 2.1.0
> Reporter: Reza ardeshir rokni
> Assignee: Reuven Lax
> Priority: Minor
> Time Spent: 3h 10m
> Remaining Estimate: 0h
>
> As described in the phase 1 portion of this solution outline:
> https://cloud.google.com/solutions/correlating-time-series-dataflow
> BEAM can be used to build out some very interesting pre-processing stages for
> time series data. Some examples that will be useful:
> - Downsampling time series based on simple AVG, MIN, MAX
> - Creating a value for each time window using generatesequence as a seed
> - Loading the value of a downsample with the previous value (used in FX with
> previous close being brought into current open value)
> This will show some concrete examples of keyed state as well as the use of
> combiners.
> The samples can also be used to show how you can create a ordered list of
> values per key from a unbounded topic which has multiple time series keys.
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