WeiNan Zhao created SPARK-47853:
-----------------------------------
Summary: jdbc connect to duckdb with error Unrecognized
configuration property "path"
Key: SPARK-47853
URL: https://issues.apache.org/jira/browse/SPARK-47853
Project: Spark
Issue Type: Bug
Components: Spark Core, SQL
Affects Versions: 3.5.1, 3.5.0, 3.4.1, 3.4.0
Reporter: WeiNan Zhao
# reproduce python code
```python
from pyspark.sql import SparkSession
if __name__ == '__main__':
spark = SparkSession.builder \
.appName("Example Application") \
.config("spark.master", "local") \
.config("spark.jars.packages",
"io.delta:delta-core_2.12:2.4.0,org.xerial:sqlite-jdbc:3.45.2.0,org.duckdb:duckdb_jdbc:0.9.2")
\
.getOrCreate()
spark.sql(
f"""
create table default.movies
using jdbc
options (url "jdbc:duckdb:database/duckdb.db" , driver
"org.duckdb.DuckDBDriver" , dbtable "duckdb.main.test");
"""
)
spark.sql("select * from default.movies").show()
spark.stop()
```
2. error log
```
16:28:57 Runtime Error in model movies (models/sources/movies.sql)
An error occurred while calling o40.sql.
: java.sql.SQLException: Invalid Input Error: Unrecognized configuration
property "path"
at org.duckdb.DuckDBNative.duckdb_jdbc_startup(Native Method)
at org.duckdb.DuckDBConnection.newConnection(DuckDBConnection.java:48)
at org.duckdb.DuckDBDriver.connect(DuckDBDriver.java:41)
at
org.apache.spark.sql.execution.datasources.jdbc.connection.BasicConnectionProvider.getConnection(BasicConnectionProvider.scala:49)
at
org.apache.spark.sql.execution.datasources.jdbc.connection.ConnectionProviderBase.create(ConnectionProvider.scala:102)
at
org.apache.spark.sql.jdbc.JdbcDialect.$anonfun$createConnectionFactory$1(JdbcDialects.scala:123)
at
org.apache.spark.sql.jdbc.JdbcDialect.$anonfun$createConnectionFactory$1$adapted(JdbcDialects.scala:119)
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:50)
at
org.apache.spark.sql.execution.datasources.DataSource.writeAndRead(DataSource.scala:506)
at
org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.saveDataIntoTable(createDataSourceTables.scala:228)
at
org.apache.spark.sql.execution.command.CreateDataSourceTableAsSelectCommand.run(createDataSourceTables.scala:183)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:118)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:195)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:103)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:827)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98)
at
org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:512)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:104)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:512)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:31)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:31)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:31)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:488)
at
org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81)
at
org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:219)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:827)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:640)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:827)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:630)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:662)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:829)
```
3. relative spark code
[https://github.com/apache/spark/blob/e6b7950f553cff5adc02b8b5195e79cffff3c97c/sql/core/src/main/scala/org/apache/spark/sql/execution/command/createDataSourceTables.scala#L64]
Why do we need to replicate the `path` into the JDBC connection?
!image-2024-04-15-15-02-37-066.png!
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