Details
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Bug
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Status: Open
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Critical
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Resolution: Unresolved
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1.6.0
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None
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ubuntu
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Patch, Important
Description
I have read a csv from my local system and write it as carbontable on s3 location using s3n
public static void main(String args[]) {
String colNames = "";
SparkSession spark = null;
SparkSession carbon = null;
String storeLocation = "s3n://accesskey:secretkey@bucketnames3";
SparkConf config = new SparkConf();
config.setMaster("local[2]");
config.set("javax.jdo.option.ConnectionDriverName", "org.postgresql.Driver");
config.set("javax.jdo.option.ConnectionPassword", "postgres");
config.set("javax.jdo.option.ConnectionUserName", "postgres");
config.set("hive.exec.dynamic.partition.mode", "nonstrict");
config.set("hive.exec.dynamic.partition", "true");
config.set("hive.exec.max.dynamic.partitions", "2556");
config.set("hive.exec.max.dynamic.partitions.pernode", "2556");
config.set("carbon.number.of.cores.while.loading", "1");
config.set("carbon.sort.temp.compressor", "SNAPPY");
config.set("carbon.sort.size", "5000");
config.set("carbon.sort.file.write.buffer.size", "500");
config.set("carbon.merge.sort.prefetch", "false");
config.set("carbon.sort.intermediate.files.limit", "10");
config.set("enable.unsafe.sort", "true");
config.set("spark.kryo.unsafe", "true");
config.set("hive.metastore.uris", "thrift://localhost:9083");
spark = SparkSession.builder().appName("CarbonDataReader").config(config).enableHiveSupport().getOrCreate();
carbon = CarbonSession.CarbonBuilder(spark.builder()).getOrCreateCarbonSession(storeLocation,
"jdbc:postgresql://localhost:5432/carbonmetastore");
carbon.sparkContext().hadoopConfiguration().set("fs.s3n.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem");
carbon.sparkContext().hadoopConfiguration().set("fs.s3n.awsAccessKeyId", "xxxx");
carbon.sparkContext().hadoopConfiguration().set("fs.s3n.awsSecretAccessKey", "xxxxxxx");
Dataset<Row> ds = carbon.read().format("carbondata").option("header", "true").option("inferSchema", "true")
.csv("/home/anshul.jain/Downloads/datasets/EMP_Age.csv");
ds.registerTempTable("temp_emp_age_test");
carbon.sql("describe formatted emp_age_test").show(100, false);
DataFrameWriter<Row> dfw = ds.write().format(MaterializedViewConstants.CARBONFORMAT).option(MetadataConstants.TABLE_NAME, "emp_age_test")
.option("bad_records_logger_enable", false);
dfw.mode(SaveMode.Overwrite).save();
carbon.sql("select * from emp_age_test").show();