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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/12/02 11:26:00 UTC
[jira] [Work logged] (BEAM-10234) Packages missing licenses are not
listed correctly
[ https://issues.apache.org/jira/browse/BEAM-10234?focusedWorklogId=518945&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-518945 ]
ASF GitHub Bot logged work on BEAM-10234:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 02/Dec/20 11:25
Start Date: 02/Dec/20 11:25
Worklog Time Spent: 10m
Work Description: rezarokni commented on a change in pull request #12973:
URL: https://github.com/apache/beam/pull/12973#discussion_r534093432
##########
File path: sdks/java/extensions/zetasketch/src/main/java/org/apache/beam/sdk/extensions/zetasketch/ApproximateCountDistinct.java
##########
@@ -0,0 +1,287 @@
+/*
+ * 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.sdk.extensions.zetasketch;
+
+import com.google.auto.value.AutoValue;
+import java.util.List;
+import javax.annotation.Nullable;
+import org.apache.beam.sdk.annotations.Experimental;
+import org.apache.beam.sdk.coders.Coder;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.extensions.zetasketch.HllCount.Init.Builder;
+import org.apache.beam.sdk.transforms.Contextful;
+import org.apache.beam.sdk.transforms.Contextful.Fn;
+import org.apache.beam.sdk.transforms.MapElements;
+import org.apache.beam.sdk.transforms.PTransform;
+import org.apache.beam.sdk.transforms.ProcessFunction;
+import org.apache.beam.sdk.transforms.display.DisplayData;
+import org.apache.beam.sdk.values.KV;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.TypeDescriptor;
+import org.apache.beam.sdk.values.TypeDescriptors;
+import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * {@code PTransform}s for estimating the number of distinct elements in a {@code PCollection}, or
+ * the number of distinct values associated with each key in a {@code PCollection} of {@code KV}s.
+ *
+ * <p>We make use of the {@link HllCount} implementation for this transform. Please use {@link
+ * HllCount} directly if you need access to the sketches.
+ *
+ * <p>If the object is not one of {@link Byte[]} {@link Integer} {@link Double} {@link String} make
+ * use of {@link Globally#via} or {@link PerKey#via}
+ *
+ * <h3>Examples</h3>
+ *
+ * <h4>Example 1: Approximate Count of Longs {@code PCollection<Long>} and specify precision</h4>
+ *
+ * <pre>{@Code
+ * p.apply("Int", Create.of(ints)).apply("IntHLL", ApproximateCountDistinct.globally()
+ * .withPercision(PRECISION));
+ * }</pre>
+ *
+ * <h4>Example 2: Approximate Count of Key Value {@code PCollection<KV<Integer,Foo>>}</h4>
+ *
+ * <pre>{@code
+ * PCollection<KV<Integer, Long>> result =
+ * p.apply("Int", Create.of(ints)).apply("LongHLL", ApproximateCountDistinct.perKey());
+ * }</pre>
+ *
+ * <h4>Example 3: Approximate Count of Key Value {@code PCollection<KV<Integer,Foo>>}</h4>
+ *
+ * <pre>{@code
+ * PCollection<KV<Integer, Foo>> approxResultInteger =
+ * p.apply("Int", Create.of(Foo))
+ * .apply("IntHLL", ApproximateCountDistinct.<Integer, KV<Integer, Integer>>perKey()
+ * .via(x -> KV.of(x.getKey(), (long) x.hashCode())));
+ * }</pre>
+ */
+@Experimental
+public class ApproximateCountDistinct {
+
+ private static final Logger LOG = LoggerFactory.getLogger(ApproximateCountDistinct.class);
+
+ private static final List<TypeDescriptor<?>> HLL_IMPLEMENTED_TYPES =
+ ImmutableList.of(
+ TypeDescriptors.strings(),
+ TypeDescriptors.longs(),
+ TypeDescriptors.integers(),
+ new TypeDescriptor<byte[]>() {});
+
+ public static <T> Globally<T> globally() {
+ return new AutoValue_ApproximateCountDistinct_Globally.Builder<T>()
+ .setPrecision(HllCount.DEFAULT_PRECISION)
+ .build();
+ }
+
+ public static <K, V> PerKey<K, V> perKey() {
+ return new AutoValue_ApproximateCountDistinct_PerKey.Builder<K, V>()
+ .setPrecision(HllCount.DEFAULT_PRECISION)
+ .build();
+ }
+
+ /////////////////////////////////////////////////////////////////////////////
+
+ /**
+ * {@code PTransform} for estimating the number of distinct elements in a {@code PCollection}.
+ *
+ * @param <T> the type of the elements in the input {@code PCollection}
+ */
+ @AutoValue
+ public abstract static class Globally<T> extends PTransform<PCollection<T>, PCollection<Long>> {
+
+ public abstract int getPrecision();
+
+ public abstract Builder<T> toBuilder();
+
+ @Nullable
+ public abstract Contextful<Fn<T, Long>> getMapping();
+
+ @AutoValue.Builder
+ public abstract static class Builder<T> {
+
+ public abstract Builder<T> setPrecision(int precision);
+
+ public abstract Builder<T> setMapping(Contextful<Fn<T, Long>> value);
+
+ public abstract Globally<T> build();
+ }
+
+ public Globally<T> via(ProcessFunction<T, Long> fn) {
+
+ return toBuilder().setMapping(Contextful.<T, Long>fn(fn)).build();
+ }
+
+ public <V> Globally<V> withPercision(Integer withPercision) {
+ this.toBuilder().setPrecision(withPercision).build();
Review comment:
Thanx.
##########
File path: sdks/java/extensions/zetasketch/src/main/java/org/apache/beam/sdk/extensions/zetasketch/ApproximateCountDistinct.java
##########
@@ -0,0 +1,287 @@
+/*
+ * 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.sdk.extensions.zetasketch;
+
+import com.google.auto.value.AutoValue;
+import java.util.List;
+import javax.annotation.Nullable;
+import org.apache.beam.sdk.annotations.Experimental;
+import org.apache.beam.sdk.coders.Coder;
+import org.apache.beam.sdk.coders.KvCoder;
+import org.apache.beam.sdk.extensions.zetasketch.HllCount.Init.Builder;
+import org.apache.beam.sdk.transforms.Contextful;
+import org.apache.beam.sdk.transforms.Contextful.Fn;
+import org.apache.beam.sdk.transforms.MapElements;
+import org.apache.beam.sdk.transforms.PTransform;
+import org.apache.beam.sdk.transforms.ProcessFunction;
+import org.apache.beam.sdk.transforms.display.DisplayData;
+import org.apache.beam.sdk.values.KV;
+import org.apache.beam.sdk.values.PCollection;
+import org.apache.beam.sdk.values.TypeDescriptor;
+import org.apache.beam.sdk.values.TypeDescriptors;
+import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/**
+ * {@code PTransform}s for estimating the number of distinct elements in a {@code PCollection}, or
+ * the number of distinct values associated with each key in a {@code PCollection} of {@code KV}s.
+ *
+ * <p>We make use of the {@link HllCount} implementation for this transform. Please use {@link
+ * HllCount} directly if you need access to the sketches.
+ *
+ * <p>If the object is not one of {@link Byte[]} {@link Integer} {@link Double} {@link String} make
+ * use of {@link Globally#via} or {@link PerKey#via}
+ *
+ * <h3>Examples</h3>
+ *
+ * <h4>Example 1: Approximate Count of Longs {@code PCollection<Long>} and specify precision</h4>
+ *
+ * <pre>{@Code
+ * p.apply("Int", Create.of(ints)).apply("IntHLL", ApproximateCountDistinct.globally()
+ * .withPercision(PRECISION));
+ * }</pre>
+ *
+ * <h4>Example 2: Approximate Count of Key Value {@code PCollection<KV<Integer,Foo>>}</h4>
+ *
+ * <pre>{@code
+ * PCollection<KV<Integer, Long>> result =
+ * p.apply("Int", Create.of(ints)).apply("LongHLL", ApproximateCountDistinct.perKey());
Review comment:
Done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 518945)
Time Spent: 1h 40m (was: 1.5h)
> Packages missing licenses are not listed correctly
> --------------------------------------------------
>
> Key: BEAM-10234
> URL: https://issues.apache.org/jira/browse/BEAM-10234
> Project: Beam
> Issue Type: Bug
> Components: build-system
> Reporter: Kyle Weaver
> Assignee: Kyle Weaver
> Priority: P2
> Fix For: 2.23.0
>
> Time Spent: 1h 40m
> Remaining Estimate: 0h
>
> e.g.
> RuntimeError: Could not retrieve licences for packages [[',', ',', ',', ',', ',', ',', ',', '-', '-', '-', '4', 'a', 'a', 'a', 'a', 'a', 'a', 'b', 'b', 'c', 'c', 'd', 'e', 'e', 'e', 'e', 'e', 'e', 'f', 'f', 'f', 'g', 'g', 'i', 'i', 'i', 'i', 'i', 'i', 'i', 'k', 'l', 'l', 'm', 'm', 'm', 'm', 'n', 'n', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'o', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'p', 'r', 'r', 'r', 'r', 'r', 's', 's', 's', 's', 't', 't', 't', 't', 't', 't', 't', 'u', 'u', 'u', 'u', 'u', 'w', 'x', 'y', 'y', 'y', 'z']] in Python3.7 environment.
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