MonkeyCanCode commented on code in PR #4588: URL: https://github.com/apache/polaris/pull/4588#discussion_r3338408093
########## plugins/spark/v3.5/integration/src/intTest/java/org/apache/polaris/spark/quarkus/it/BundleSanityChecker.java: ########## @@ -0,0 +1,41 @@ +/* + * 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.polaris.spark.quarkus.it; + +import org.apache.spark.sql.SparkSession; + +public class BundleSanityChecker { + public static void main(String[] args) { + try (SparkSession spark = SparkSession.builder().getOrCreate()) { + spark.sql("USE polaris"); + spark.sql("CREATE NAMESPACE bundle_ns"); + spark.sql("CREATE TABLE bundle_ns.t (id INT, value STRING) USING ICEBERG"); Review Comment: So if any of the sql failed, the catch block would catch it (e.g. change `USE polaris` to `USE polaris_known`) such as following: ``` ./gradlew :polaris-spark-integration-3.5_2.12:intTest ... BundleJarSanityIT > testBundleJarLoading(Path, PolarisApiEndpoints, ClientCredentials) FAILED java.lang.AssertionError at BundleJarSanityIT.java:142 ... 2026-06-01 21:59:43,992 INFO [io.qua.htt.access-log] [ea6f1dc2-296f-4477-ae6d-52f0c49c7a4c_0000000000000000002,POLARIS] [,,,] (executor-thread-1) 127.0.0.1 - root [01/Jun/2026:21:59:43 -0500] "POST /api/management/v1/catalogs HTTP/1.1" 201 425 2026-06-01 21:59:44,008 INFO [io.qua.htt.access-log] [ea6f1dc2-296f-4477-ae6d-52f0c49c7a4c_0000000000000000003,POLARIS] [,,,] (executor-thread-1) 127.0.0.1 - - [01/Jun/2026:21:59:44 -0500] "POST /api/catalog/v1/oauth/tokens HTTP/1.1" 200 765 [Isolated Spark] SLF4J(W): Class path contains multiple SLF4J providers. [Isolated Spark] SLF4J(W): Found provider [org.slf4j.impl.JBossSlf4jServiceProvider@57bc27f5] [Isolated Spark] SLF4J(W): Found provider [ch.qos.logback.classic.spi.LogbackServiceProvider@5fb759d6] [Isolated Spark] SLF4J(W): See https://www.slf4j.org/codes.html#multiple_bindings for an explanation. [Isolated Spark] SLF4J(I): Actual provider is of type [org.slf4j.impl.JBossSlf4jServiceProvider@57bc27f5] [Isolated Spark] Jun 01, 2026 9:59:50 PM org.jboss.logmanager.JBossLoggerFinder getLogger [Isolated Spark] ERROR: The LogManager accessed before the "java.util.logging.manager" system property was set to "org.jboss.logmanager.LogManager". Results may be unexpected. [Isolated Spark] org.apache.spark.sql.catalyst.analysis.NoSuchDatabaseException: [SCHEMA_NOT_FOUND] The schema `polaris_known` cannot be found. Verify the spelling and correctness of the schema and catalog. [Isolated Spark] If you did not qualify the name with a catalog, verify the current_schema() output, or qualify the name with the correct catalog. [Isolated Spark] To tolerate the error on drop use DROP SCHEMA IF EXISTS. [Isolated Spark] at org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$setCurrentNamespace$1(CatalogManager.scala:122) [Isolated Spark] at org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$setCurrentNamespace$1$adapted(CatalogManager.scala:119) [Isolated Spark] at org.apache.spark.sql.catalyst.catalog.SessionCatalog.setCurrentDatabaseWithNameCheck(SessionCatalog.scala:344) [Isolated Spark] at org.apache.spark.sql.connector.catalog.CatalogManager.setCurrentNamespace(CatalogManager.scala:119) [Isolated Spark] at org.apache.spark.sql.execution.datasources.v2.SetCatalogAndNamespaceExec.$anonfun$run$2(SetCatalogAndNamespaceExec.scala:36) [Isolated Spark] at org.apache.spark.sql.execution.datasources.v2.SetCatalogAndNamespaceExec.$anonfun$run$2$adapted(SetCatalogAndNamespaceExec.scala:36) [Isolated Spark] at scala.Option.foreach(Option.scala:407) [Isolated Spark] at org.apache.spark.sql.execution.datasources.v2.SetCatalogAndNamespaceExec.run(SetCatalogAndNamespaceExec.scala:36) [Isolated Spark] at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result$lzycompute(V2CommandExec.scala:43) [Isolated Spark] at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.result(V2CommandExec.scala:43) [Isolated Spark] at org.apache.spark.sql.execution.datasources.v2.V2CommandExec.executeCollect(V2CommandExec.scala:49) [Isolated Spark] at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107) [Isolated Spark] at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125) [Isolated Spark] at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201) [Isolated Spark] at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108) [Isolated Spark] at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) [Isolated Spark] at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66) [Isolated Spark] at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107) [Isolated Spark] at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98) [Isolated Spark] at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461) [Isolated Spark] at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76) [Isolated Spark] at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461) [Isolated Spark] at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32) [Isolated Spark] at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) [Isolated Spark] at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) [Isolated Spark] at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) [Isolated Spark] at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) [Isolated Spark] at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:437) [Isolated Spark] at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98) [Isolated Spark] at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85) [Isolated Spark] at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83) [Isolated Spark] at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220) [Isolated Spark] at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100) [Isolated Spark] at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) [Isolated Spark] at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97) [Isolated Spark] at org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691) [Isolated Spark] at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900) [Isolated Spark] at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682) [Isolated Spark] at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713) [Isolated Spark] at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744) [Isolated Spark] at org.apache.polaris.spark.quarkus.it.BundleSanityChecker.main(BundleSanityChecker.java:26) ``` -- This is an automated message from the Apache Git Service. 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