[GitHub] [drill] cgivre commented on a change in pull request #2033: DRILL-7652: Add time_bucket() function for time series analysis

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cgivre commented on a change in pull request #2033: DRILL-7652: Add time_bucket() function for time series analysis
URL: https://github.com/apache/drill/pull/2033#discussion_r395660292
 
 

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 File path: contrib/udfs/src/main/java/org/apache/drill/exec/udfs/TimeBucketFunctions.java
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 @@ -0,0 +1,105 @@
+/*
+ * 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.drill.exec.udfs;
+
+import org.apache.drill.exec.expr.DrillSimpleFunc;
+import org.apache.drill.exec.expr.annotations.FunctionTemplate;
+import org.apache.drill.exec.expr.annotations.Output;
+import org.apache.drill.exec.expr.annotations.Param;
+import org.apache.drill.exec.expr.holders.BigIntHolder;
+
+
+public class TimeBucketFunctions {
+
+  /**
+   * This function is used for facilitating time series analysis by creating buckets of time intervals.  See
+   * https://blog.timescale.com/blog/simplified-time-series-analytics-using-the-time_bucket-function/ for usage. The function takes two arguments:
+   * 1. The timestamp in nanoseconds
+   * 2. The desired bucket interval IN MILLISECONDS
+   *
+   * The function returns a BIGINT of the nearest time bucket.
+   */
+  @FunctionTemplate(name = "time_bucket_ns",
+    scope = FunctionTemplate.FunctionScope.SIMPLE,
+    nulls = FunctionTemplate.NullHandling.NULL_IF_NULL)
+  public static class TimeBucketNSFunction implements DrillSimpleFunc {
+
+    @Param
+    BigIntHolder inputDate;
+
+    @Param
+    BigIntHolder interval;
+
+    @Output
+    BigIntHolder out;
+
+    @Override
+    public void setup() {
+    }
+
+    @Override
+    public void eval() {
+      // Get the timestamp in nanoseconds
+      long timestamp = inputDate.value;
+
+      // Get the interval in milliseconds and convert to nanoseconds
+      long intervalToAdd = interval.value * 1000000;
+
+      out.value = (long) java.lang.Math.floor(timestamp / intervalToAdd) * intervalToAdd;
+    }
+  }
+
+  /**
+   * This function is used for facilitating time series analysis by creating buckets of time intervals.  See
+   * https://blog.timescale.com/blog/simplified-time-series-analytics-using-the-time_bucket-function/ for usage. The function takes two arguments:
+   * 1. The timestamp in milliseconds
+   * 2. The desired bucket interval IN milliseconds
+   *
+   * The function returns a BIGINT of the nearest time bucket.
+   */
+  @FunctionTemplate(name = "time_bucket",
+    scope = FunctionTemplate.FunctionScope.SIMPLE,
+    nulls = FunctionTemplate.NullHandling.NULL_IF_NULL)
+  public static class TimeBucketFunction implements DrillSimpleFunc {
+
+    @Param
+    BigIntHolder inputDate;
+
+    @Param
+    BigIntHolder interval;
+
+    @Output
+    BigIntHolder out;
+
+    @Override
+    public void setup() {
+    }
+
+    @Override
+    public void eval() {
+      // Get the timestamp in milliseconds
+      long timestamp = inputDate.value;
+
+      // Get the interval in milliseconds
+      long intervalToAdd = interval.value;
+
+      out.value = (long) java.lang.Math.floor(timestamp / intervalToAdd) * intervalToAdd;
 
 Review comment:
   @ihuzenko 
   Wow... yes.... that is a lot simpler.  That is what happens when you are coding at 2AM... ;-)
   (Fixed)

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