MathurCodes1 opened a new issue, #8922: URL: https://github.com/apache/hudi/issues/8922
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)?Yes **Describe the problem you faced** How can we change the location of a hudi table to new location. I've customer table that is saved at s3://aws-amazon-com/Customer/ which I want to change to s3://aws-amazon-com/CustomerUpdated/ . A clear and concise description of the problem. How can we change the location of a hudi table to new location. I've customer table that is saved at s3://aws-amazon-com/Customer/ which I want to change to s3://aws-amazon-com/CustomerUpdated/ . **To Reproduce** val partitionColumnName: String = "year" val hudiTableName: String = "Customer" val preCombineKey: String = "id" val recordKey = "id" val tablePath = "s3://aws-amazon-com/Customer/" val databaseName="consumer_bureau" val hudiCommonOptions: Map[String, String] = Map( "hoodie.table.name" -> hudiTableName, "hoodie.datasource.write.keygenerator.class" -> "org.apache.hudi.keygen.ComplexKeyGenerator", "hoodie.datasource.write.precombine.field" -> preCombineKey, "hoodie.datasource.write.recordkey.field" -> recordKey, "hoodie.datasource.write.operation" -> "bulk_insert", //"hoodie.datasource.write.operation" -> "upsert", "hoodie.datasource.write.row.writer.enable" -> "true", "hoodie.datasource.write.reconcile.schema" -> "true", "hoodie.datasource.write.partitionpath.field" -> partitionColumnName, "hoodie.datasource.write.hive_style_partitioning" -> "true", // "hoodie.bulkinsert.shuffle.parallelism" -> "2000", // "hoodie.upsert.shuffle.parallelism" -> "400", "hoodie.datasource.hive_sync.enable" -> "true", "hoodie.datasource.hive_sync.table" -> hudiTableName, "hoodie.datasource.hive_sync.database" -> databaseName, "hoodie.datasource.hive_sync.partition_fields" -> partitionColumnName, "hoodie.datasource.hive_sync.partition_extractor_class" -> "org.apache.hudi.hive.MultiPartKeysValueExtractor", "hoodie.datasource.hive_sync.use_jdbc" -> "false", "hoodie.combine.before.upsert" -> "true", "hoodie.index.type" -> "BLOOM", "spark.hadoop.parquet.avro.write-old-list-structure" -> "false", DataSourceWriteOptions.TABLE_TYPE.key() -> "COPY_ON_WRITE" ) val df=Seq((1,"Mark",1990),(2,"Martin",2009)).toDF("id","name","year") df.write.format("org.apache.hudi") .options(hudiCommonOptions) .mode(SaveMode.Append) .save(tablelocation) val tablelocationUpdated="s3://eec-aws-uk-ukidcibatchanalytics-prod-hudi-replication/consumer_bureau/production/CustomerUpdated/" //Writing to new location. df.write.format("org.apache.hudi") .options(hudiCommonOptions) .mode(SaveMode.Append) .save(tablelocationUpdated) I can use the following code to change the location of the table manually in aws glue.I'm reading the data from the new location and upserting it's one row to the updated location. val dfupdated=spark.read.format("hudi").load(tablelocationUpdated).limit(1) val hudiCommonOptions: Map[String, String] = Map( "hoodie.table.name" -> hudiTableName, "hoodie.datasource.write.keygenerator.class" -> "org.apache.hudi.keygen.ComplexKeyGenerator", "hoodie.datasource.write.precombine.field" -> preCombineKey, "hoodie.datasource.write.recordkey.field" -> recordKey, "hoodie.datasource.write.operation" -> "upsert", // Chnged to upsert "hoodie.datasource.write.row.writer.enable" -> "true", "hoodie.datasource.write.reconcile.schema" -> "true", "hoodie.datasource.write.partitionpath.field" -> partitionColumnName, "hoodie.datasource.write.hive_style_partitioning" -> "true", // "hoodie.bulkinsert.shuffle.parallelism" -> "2000", // "hoodie.upsert.shuffle.parallelism" -> "400", "hoodie.datasource.hive_sync.enable" -> "true", "hoodie.datasource.hive_sync.table" -> hudiTableName, "hoodie.datasource.hive_sync.database" -> databaseName, "hoodie.datasource.hive_sync.partition_fields" -> partitionColumnName, "hoodie.datasource.hive_sync.partition_extractor_class" -> "org.apache.hudi.hive.MultiPartKeysValueExtractor", "hoodie.datasource.hive_sync.use_jdbc" -> "false", "hoodie.combine.before.upsert" -> "true", "hoodie.index.type" -> "BLOOM", "spark.hadoop.parquet.avro.write-old-list-structure" -> "false", DataSourceWriteOptions.TABLE_TYPE.key() -> "COPY_ON_WRITE" ) dfupdated.write.format("org.apache.hudi") .options(getHudiOptions()) .mode(SaveMode.Append) .save(tablelocation) Steps to reproduce the behavior: 1. 2. 3. 4. **Expected behavior** How can we change the location of a hudi table to new location . I've customer table that is saved at s3://aws-amazon-com/Customer/ which I want to change to s3://aws-amazon-com/CustomerUpdated/ . A clear and concise description of what you expected to happen. **Environment Description** Glue 4 hudi-spark3-bundle_2.12-0.12.1.jar calcite-core-1.16.0.jar libfb303-0.9.3.jar * Hudi version : 0.12 * Spark version : Spark3.3 * Hive version : * Hadoop version : * Storage (HDFS/S3/GCS..) : S3 * Running on Docker? (yes/no) : no **Additional context** How can we change the location of a hudi table to new location. I've customer table that is saved at s3://aws-amazon-com/Customer/ which I want to change to s3://aws-amazon-com/CustomerUpdated/ . -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
