kukayiyi opened a new issue, #7396:
URL: https://github.com/apache/iceberg/issues/7396
### Query engine
spark
### Question
I encountered the following error when reading and writing using
iceberg+spark+minio
`
Exception in thread "main" java.lang.IllegalArgumentException: Cannot
initialize FileIO, missing no-arg constructor:
org.apache.iceberg.aws.s3.S3FileIO
at org.apache.iceberg.CatalogUtil.loadFileIO(CatalogUtil.java:312)
at
org.apache.iceberg.hadoop.HadoopCatalog.initialize(HadoopCatalog.java:118)
at org.apache.iceberg.CatalogUtil.loadCatalog(CatalogUtil.java:239)
at
org.apache.iceberg.CatalogUtil.buildIcebergCatalog(CatalogUtil.java:284)
at
org.apache.iceberg.spark.SparkCatalog.buildIcebergCatalog(SparkCatalog.java:135)
at
org.apache.iceberg.spark.SparkCatalog.initialize(SparkCatalog.java:537)
at
org.apache.iceberg.spark.SparkSessionCatalog.buildSparkCatalog(SparkSessionCatalog.java:77)
at
org.apache.iceberg.spark.SparkSessionCatalog.initialize(SparkSessionCatalog.java:307)
at
org.apache.spark.sql.connector.catalog.Catalogs$.load(Catalogs.scala:60)
at
org.apache.spark.sql.connector.catalog.CatalogManager.$anonfun$catalog$1(CatalogManager.scala:53)
at scala.collection.mutable.HashMap.getOrElseUpdate(HashMap.scala:86)
at
org.apache.spark.sql.connector.catalog.CatalogManager.catalog(CatalogManager.scala:53)
at
org.apache.spark.sql.connector.catalog.CatalogManager.currentCatalog(CatalogManager.scala:122)
at
org.apache.spark.sql.connector.catalog.LookupCatalog.currentCatalog(LookupCatalog.scala:34)
at
org.apache.spark.sql.connector.catalog.LookupCatalog.currentCatalog$(LookupCatalog.scala:34)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.currentCatalog(Analyzer.scala:188)
at
org.apache.spark.sql.connector.catalog.LookupCatalog$CatalogAndIdentifier$.unapply(LookupCatalog.scala:125)
at
org.apache.spark.sql.connector.catalog.LookupCatalog$NonSessionCatalogAndIdentifier$.unapply(LookupCatalog.scala:72)
at
org.apache.spark.sql.DataFrameWriter.saveAsTable(DataFrameWriter.scala:565)
at
com.yisa.iceberg.MinioIcebergExample.main(MinioIcebergExample.java:77)
`
My config is:
`
("spark.sql.extensions",
"org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions")
("spark.sql.catalog.demo", "org.apache.iceberg.spark.SparkSessionCatalog")
("spark.sql.catalog.demo.io-impl", "org.apache.iceberg.aws.s3.S3FileIO")
("spark.sql.catalog.demo.warehouse", "s3a://iceberg")
("spark.sql.catalog.demo.s3.endpoint", "http://127.0.0.19000";)
("spark.sql.defaultCatalog", "demo")
("spark.sql.catalogImplementation", "in-memory")
("spark.sql.catalog.demo.type", "hadoop")
("spark.executor.heartbeatInterval", "300000")
("spark.network.timeout", "400000");
("spark.hadoop.fs.s3a.access.key", "minioadmin");
("spark.hadoop.fs.s3a.secret.key", "minioadmin");
("spark.hadoop.fs.s3a.endpoint", "127.0.0.1:9000");
("spark.hadoop.fs.s3a.connection.ssl.enabled", "false");
("spark.hadoop.fs.s3a.path.style.access", "true");
("spark.hadoop.fs.s3a.attempts.maximum", "1");
("spark.hadoop.fs.s3a.connection.establish.timeout", "5000");
("spark.hadoop.fs.s3a.connection.timeout", "10000");
`
This config is based on:https://blog.min.io/manage-iceberg-tables-with-spark/
I used the following jar package:
`
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.12</artifactId>
<version>3.3.2</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.12</artifactId>
<version>3.3.2</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-aws</artifactId>
<version>3.3.2</version>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-java-sdk-bundle</artifactId>
<version>1.12.452</version>
</dependency>
<dependency>
<groupId>org.apache.iceberg</groupId>
<artifactId>iceberg-spark-runtime-3.3_2.12</artifactId>
<version>1.2.1</version>
</dependency>
`
ll I did was read a CSV file from Minio and convert it to an Iceberg table
for storage, just like the link I attached above. I also tried writing a
regular dataset as an Iceberg table and got the same error.By the way, I have
tried it on java/python/spark-sql and reported the same error.
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