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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2020/08/24 21:24:09 UTC
[GitHub] [iceberg] jiegzhan opened a new issue #1372: Can not create table with Spark 2.4 DataFrame
jiegzhan opened a new issue #1372:
URL: https://github.com/apache/iceberg/issues/1372
Started spark-shell on EMR (Spark 2.4) with this command:
```
spark-shell \
--jars /usr/lib/iceberg/iceberg-spark-runtime-0.9.1.jar \
--conf spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkSessionCatalog \
--conf spark.sql.catalog.spark_catalog.type=hive
```
Create table script failed:
```
scala> df.
| write.
| format("iceberg").
| mode("overwrite").
| save("default.iceberg_test")
org.apache.iceberg.exceptions.NoSuchTableException: Table does not exist: default.iceberg_test
at org.apache.iceberg.BaseMetastoreCatalog.loadTable(BaseMetastoreCatalog.java:141)
at org.apache.iceberg.spark.source.IcebergSource.findTable(IcebergSource.java:142)
at org.apache.iceberg.spark.source.IcebergSource.getTableAndResolveHadoopConfiguration(IcebergSource.java:171)
at org.apache.iceberg.spark.source.IcebergSource.createWriter(IcebergSource.java:95)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:254)
at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:228)
... 53 elided
```
On [iceberg document website](https://iceberg.apache.org/spark/#writing-with-dataframes), there's appending and overwriting data with Spark 2.4 DataFrame, but there's no creating table with Spark 2.4 DataFrame.
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[GitHub] [iceberg] zhangdove commented on issue #1372: Can not create table with Spark 2.4 DataFrame
Posted by GitBox <gi...@apache.org>.
zhangdove commented on issue #1372:
URL: https://github.com/apache/iceberg/issues/1372#issuecomment-679943269
If I understand correctly, Spark 2.4 does not support creating tables in SQL [spark guide](https://iceberg.apache.org/spark/#spark).
Maybe you can use the Iceberg API to build table and then write data [createTable](https://iceberg.apache.org/java-api-quickstart/#create-a-table).
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