aa4cf2b19e
## What changes were proposed in this pull request? Calling `ImageSchema.readImages` multiple times as below in PySpark shell: ```python from pyspark.ml.image import ImageSchema data_path = 'data/mllib/images/kittens' _ = ImageSchema.readImages(data_path, recursive=True, dropImageFailures=True).collect() _ = ImageSchema.readImages(data_path, recursive=True, dropImageFailures=True).collect() ``` throws an error as below: ``` ... org.datanucleus.exceptions.NucleusDataStoreException: Unable to open a test connection to the given database. JDBC url = jdbc:derby:;databaseName=metastore_db;create=true, username = APP. Terminating connection pool (set lazyInit to true if you expect to start your database after your app). Original Exception: ------ java.sql.SQLException: Failed to start database 'metastore_db' with class loader org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1742f639f, see the next exception for details. ... at org.apache.derby.jdbc.AutoloadedDriver.connect(Unknown Source) ... at org.apache.hadoop.hive.metastore.HiveMetaStore.newRetryingHMSHandler(HiveMetaStore.java:5762) ... at org.apache.spark.sql.hive.client.HiveClientImpl.newState(HiveClientImpl.scala:180) ... at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply$mcZ$sp(HiveExternalCatalog.scala:195) at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195) at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195) at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97) at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:194) at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:100) at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:88) at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:39) at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog$lzycompute(HiveSessionStateBuilder.scala:54) at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog(HiveSessionStateBuilder.scala:52) at org.apache.spark.sql.hive.HiveSessionStateBuilder$$anon$1.<init>(HiveSessionStateBuilder.scala:69) at org.apache.spark.sql.hive.HiveSessionStateBuilder.analyzer(HiveSessionStateBuilder.scala:69) at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293) at org.apache.spark.sql.internal.BaseSessionStateBuilder$$anonfun$build$2.apply(BaseSessionStateBuilder.scala:293) at org.apache.spark.sql.internal.SessionState.analyzer$lzycompute(SessionState.scala:79) at org.apache.spark.sql.internal.SessionState.analyzer(SessionState.scala:79) at org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:70) at org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:68) at org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:51) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:70) at org.apache.spark.sql.SparkSession.internalCreateDataFrame(SparkSession.scala:574) at org.apache.spark.sql.SparkSession.createDataFrame(SparkSession.scala:593) at org.apache.spark.sql.SparkSession.createDataFrame(SparkSession.scala:348) at org.apache.spark.sql.SparkSession.createDataFrame(SparkSession.scala:348) at org.apache.spark.ml.image.ImageSchema$$anonfun$readImages$2$$anonfun$apply$1.apply(ImageSchema.scala:253) ... Caused by: ERROR XJ040: Failed to start database 'metastore_db' with class loader org.apache.spark.sql.hive.client.IsolatedClientLoader$$anon$1742f639f, see the next exception for details. at org.apache.derby.iapi.error.StandardException.newException(Unknown Source) at org.apache.derby.impl.jdbc.SQLExceptionFactory.wrapArgsForTransportAcrossDRDA(Unknown Source) ... 121 more Caused by: ERROR XSDB6: Another instance of Derby may have already booted the database /.../spark/metastore_db. ... Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/.../spark/python/pyspark/ml/image.py", line 190, in readImages dropImageFailures, float(sampleRatio), seed) File "/.../spark/python/lib/py4j-0.10.6-src.zip/py4j/java_gateway.py", line 1160, in __call__ File "/.../spark/python/pyspark/sql/utils.py", line 69, in deco raise AnalysisException(s.split(': ', 1)[1], stackTrace) pyspark.sql.utils.AnalysisException: u'java.lang.RuntimeException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient;' ``` Seems we better stick to `SparkSession.builder.getOrCreate()` like: |
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.. | ||
linalg | ||
param | ||
__init__.py | ||
base.py | ||
classification.py | ||
clustering.py | ||
common.py | ||
evaluation.py | ||
feature.py | ||
fpm.py | ||
image.py | ||
pipeline.py | ||
recommendation.py | ||
regression.py | ||
stat.py | ||
tests.py | ||
tuning.py | ||
util.py | ||
wrapper.py |