mahendrachandrasekhar opened a new issue, #9275:
URL: https://github.com/apache/iceberg/issues/9275
We are using a Java Custom Catalog with iceberg. The Table is created
properly, however we get an issue when we insert the data.
`public String createCustomTable(String tableName) {
try {
TableIdentifier tableIdentifier = TableIdentifier.of(name(),
tableName);
Schema schema = readSchema(tableIdentifier);
Map<String, String> properties = ImmutableMap.of(
TableProperties.DEFAULT_FILE_FORMAT,
FileFormat.PARQUET.name()
);
PartitionSpec partitionSpec = PartitionSpec.builderFor(schema)
.identity(getPartitionKeyfromSchema(tableIdentifier.name()))
.build();
String tableLocation = defaultLocation +
tableIdentifier.namespace().toString() + "/" + tableIdentifier.name();
catalog.createTable(tableIdentifier, schema, partitionSpec,
tableLocation, properties);
catalog.loadTable(TableIdentifier.of(name(), tableName));
return "Table created";
} catch (Exception e) {
return e.getMessage();
}
}
public String insertData(String tableName, String csvPath) throws
IOException {
Table icebergTable =
catalog.loadTable(TableIdentifier.of(name(), tableName));
SparkSession spark = SparkSession.builder()
.config("spark.master", "local")
.getOrCreate();
String headerJson = readHeaderJson(tableName);
LOGGER.info("Header JSON for {}: {}", tableName, headerJson);
String[] columns = headerJson.split(",");
Dataset<Row> df = spark.read()
.option("header", "false")
.option("inferSchema", "false")
.option("comment", "#")
.option("sep", "|")
.csv(csvPath)
.toDF(columns);
LOGGER.info("Actual columns: {}", Arrays.toString(df.columns()));
for (String col : df.columns()) {
df = df.withColumn(col, df.col(col).cast("string"));
}
df.write().format("iceberg").mode(SaveMode.Append).save(icebergTable.location());
LOGGER.info("Data inserted successfully into table: {}",
tableName);
}
`
When we execute this via a main program in Java it works perfectly
However when we create a jar out of this and call this from Spark it gives
us this error
`
ERROR:root:Error: An error occurred while calling o0.insertData.
: java.lang.ClassNotFoundException:
Failed to find data source: iceberg. Please find packages at
http://spark.apache.org/third-party-projects.html
at
org.apache.spark.sql.errors.QueryExecutionErrors$.failedToFindDataSourceError(QueryExecutionErrors.scala:443)
at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:670)
at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSourceV2(DataSource.scala:720)
at
org.apache.spark.sql.DataFrameWriter.lookupV2Provider(DataFrameWriter.scala:852)
at
org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:256)
at
org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239)
at com.xyz.catalog.CustomCatalog.insertData(CustomCatalog.java:178)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Thread.java:829)
Caused by: java.lang.ClassNotFoundException: iceberg.DefaultSource
at
java.base/jdk.internal.loader.BuiltinClassLoader.loadClass(BuiltinClassLoader.java:581)
at
java.base/jdk.internal.loader.ClassLoaders$AppClassLoader.loadClass(ClassLoaders.java:178)
at java.base/java.lang.ClassLoader.loadClass(ClassLoader.java:527)
at
org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$lookupDataSource$5(DataSource.scala:656)
at scala.util.Try$.apply(Try.scala:210)
at
org.apache.spark.sql.execution.datasources.DataSource$.$anonfun$lookupDataSource$4(DataSource.scala:656)
at scala.util.Failure.orElse(Try.scala:221)
at
org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:656)
... 16 more
`
We are trying to create and insert data in a iceberg table using a custom
catalog. We expect the insert to work properly. This is the place we are
getting the error
`
df.write().format("iceberg").mode(SaveMode.Append).save(icebergTable.location());
`
It does not work with passing the jar to spark-submit either.
`
spark-submit --master spark://spark:7077
/home/airflow/spark/app/my-module.py --packages
org.apache.iceberg:iceberg-spark-runtime-3.2_2.12:1.4.1
`
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