[SPARK-19134][EXAMPLE] Fix several sql, mllib and status api examples not working
## What changes were proposed in this pull request?
**binary_classification_metrics_example.py**
LibSVM datasource loads `ml.linalg.SparseVector` whereas the example requires it to be `mllib.linalg.SparseVector`. For the equivalent Scala exmaple, `BinaryClassificationMetricsExample.scala` seems fine.
```
./bin/spark-submit examples/src/main/python/mllib/binary_classification_metrics_example.py
```
```
File ".../spark/examples/src/main/python/mllib/binary_classification_metrics_example.py", line 39, in <lambda>
.rdd.map(lambda row: LabeledPoint(row[0], row[1]))
File ".../spark/python/pyspark/mllib/regression.py", line 54, in __init__
self.features = _convert_to_vector(features)
File ".../spark/python/pyspark/mllib/linalg/__init__.py", line 80, in _convert_to_vector
raise TypeError("Cannot convert type %s into Vector" % type(l))
TypeError: Cannot convert type <class 'pyspark.ml.linalg.SparseVector'> into Vector
```
**status_api_demo.py** (this one does not work on Python 3.4.6)
It's `queue` in Python 3+.
```
PYSPARK_PYTHON=python3 ./bin/spark-submit examples/src/main/python/status_api_demo.py
```
```
Traceback (most recent call last):
File ".../spark/examples/src/main/python/status_api_demo.py", line 22, in <module>
import Queue
ImportError: No module named 'Queue'
```
**bisecting_k_means_example.py**
`BisectingKMeansModel` does not implement `save` and `load` in Python.
```bash
./bin/spark-submit examples/src/main/python/mllib/bisecting_k_means_example.py
```
```
Traceback (most recent call last):
File ".../spark/examples/src/main/python/mllib/bisecting_k_means_example.py", line 46, in <module>
model.save(sc, path)
AttributeError: 'BisectingKMeansModel' object has no attribute 'save'
```
**elementwise_product_example.py**
It calls `collect` from the vector.
```bash
./bin/spark-submit examples/src/main/python/mllib/elementwise_product_example.py
```
```
Traceback (most recent call last):
File ".../spark/examples/src/main/python/mllib/elementwise_product_example.py", line 48, in <module>
for each in transformedData2.collect():
File ".../spark/python/pyspark/mllib/linalg/__init__.py", line 478, in __getattr__
return getattr(self.array, item)
AttributeError: 'numpy.ndarray' object has no attribute 'collect'
```
**These three tests look throwing an exception for a relative path set in `spark.sql.warehouse.dir`.**
**hive.py**
```
./bin/spark-submit examples/src/main/python/sql/hive.py
```
```
Traceback (most recent call last):
File ".../spark/examples/src/main/python/sql/hive.py", line 47, in <module>
spark.sql("CREATE TABLE IF NOT EXISTS src (key INT, value STRING) USING hive")
File ".../spark/python/lib/pyspark.zip/pyspark/sql/session.py", line 541, in sql
File ".../spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call__
File ".../spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line 69, in deco
pyspark.sql.utils.AnalysisException: 'org.apache.hadoop.hive.ql.metadata.HiveException: MetaException(message:java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:./spark-warehouse);'
```
**SparkHiveExample.scala**
```
./bin/run-example sql.hive.SparkHiveExample
```
```
Exception in thread "main" org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:./spark-warehouse
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:498)
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:484)
at org.apache.hadoop.hive.ql.metadata.Hive.loadTable(Hive.java:1668)
```
**JavaSparkHiveExample.java**
```
./bin/run-example sql.hive.JavaSparkHiveExample
```
```
Exception in thread "main" org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:./spark-warehouse
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:498)
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:484)
at org.apache.hadoop.hive.ql.metadata.Hive.loadTable(Hive.java:1668)
```
## How was this patch tested?
Manually via
```
./bin/spark-submit examples/src/main/python/mllib/binary_classification_metrics_example.py
```
```
PYSPARK_PYTHON=python3 ./bin/spark-submit examples/src/main/python/status_api_demo.py
```
```
./bin/spark-submit examples/src/main/python/mllib/bisecting_k_means_example.py
```
```
./bin/spark-submit examples/src/main/python/mllib/elementwise_product_example.py
```
```
./bin/spark-submit examples/src/main/python/sql/hive.py
```
```
./bin/run-example sql.hive.JavaSparkHiveExample
```
```
./bin/run-example sql.hive.SparkHiveExample
```
These were found via
```bash
find ./examples/src/main/python -name "*.py" -exec spark-submit {} \;
```
Author: hyukjinkwon <gurwls223@gmail.com>
Closes #16515 from HyukjinKwon/minor-example-fix.
This commit is contained in:
hyukjinkwon
Yanbo Liang
parent
3ef6d98a80
commit
b0e5840d4b
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@ -17,6 +17,7 @@
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package org.apache.spark.examples.sql.hive;
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// $example on:spark_hive$
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import java.io.File;
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import java.io.Serializable;
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import java.util.ArrayList;
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import java.util.List;
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@ -56,7 +57,7 @@ public class JavaSparkHiveExample {
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public static void main(String[] args) {
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// $example on:spark_hive$
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// warehouseLocation points to the default location for managed databases and tables
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String warehouseLocation = "spark-warehouse";
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String warehouseLocation = new File("spark-warehouse").getAbsolutePath();
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SparkSession spark = SparkSession
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.builder()
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.appName("Java Spark Hive Example")
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@ -18,25 +18,20 @@
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Binary Classification Metrics Example.
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"""
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from __future__ import print_function
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from pyspark.sql import SparkSession
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from pyspark import SparkContext
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# $example on$
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from pyspark.mllib.classification import LogisticRegressionWithLBFGS
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from pyspark.mllib.evaluation import BinaryClassificationMetrics
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from pyspark.mllib.regression import LabeledPoint
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from pyspark.mllib.util import MLUtils
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# $example off$
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if __name__ == "__main__":
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spark = SparkSession\
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.builder\
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.appName("BinaryClassificationMetricsExample")\
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.getOrCreate()
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sc = SparkContext(appName="BinaryClassificationMetricsExample")
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# $example on$
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# Several of the methods available in scala are currently missing from pyspark
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# Load training data in LIBSVM format
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data = spark\
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.read.format("libsvm").load("data/mllib/sample_binary_classification_data.txt")\
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.rdd.map(lambda row: LabeledPoint(row[0], row[1]))
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data = MLUtils.loadLibSVMFile(sc, "data/mllib/sample_binary_classification_data.txt")
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# Split data into training (60%) and test (40%)
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training, test = data.randomSplit([0.6, 0.4], seed=11)
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@ -58,4 +53,4 @@ if __name__ == "__main__":
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print("Area under ROC = %s" % metrics.areaUnderROC)
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# $example off$
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spark.stop()
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sc.stop()
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@ -40,11 +40,6 @@ if __name__ == "__main__":
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# Evaluate clustering
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cost = model.computeCost(parsedData)
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print("Bisecting K-means Cost = " + str(cost))
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# Save and load model
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path = "target/org/apache/spark/PythonBisectingKMeansExample/BisectingKMeansModel"
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model.save(sc, path)
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sameModel = BisectingKMeansModel.load(sc, path)
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# $example off$
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sc.stop()
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@ -45,7 +45,7 @@ if __name__ == "__main__":
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print(each)
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print("transformedData2:")
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for each in transformedData2.collect():
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for each in transformedData2:
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print(each)
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sc.stop()
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@ -18,7 +18,7 @@
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from __future__ import print_function
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# $example on:spark_hive$
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from os.path import expanduser, join
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from os.path import expanduser, join, abspath
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from pyspark.sql import SparkSession
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from pyspark.sql import Row
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@ -34,7 +34,7 @@ Run with:
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if __name__ == "__main__":
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# $example on:spark_hive$
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# warehouse_location points to the default location for managed databases and tables
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warehouse_location = 'spark-warehouse'
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warehouse_location = abspath('spark-warehouse')
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spark = SparkSession \
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.builder \
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@ -19,6 +19,10 @@ from __future__ import print_function
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import time
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import threading
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import sys
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if sys.version >= '3':
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import queue as Queue
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else:
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import Queue
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from pyspark import SparkConf, SparkContext
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@ -17,6 +17,8 @@
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package org.apache.spark.examples.sql.hive
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// $example on:spark_hive$
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import java.io.File
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import org.apache.spark.sql.Row
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import org.apache.spark.sql.SparkSession
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// $example off:spark_hive$
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@ -38,7 +40,7 @@ object SparkHiveExample {
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// $example on:spark_hive$
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// warehouseLocation points to the default location for managed databases and tables
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val warehouseLocation = "spark-warehouse"
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val warehouseLocation = new File("spark-warehouse").getAbsolutePath
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val spark = SparkSession
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.builder()
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