I would like to read a CSV in spark and convert it as DataFrame and store it in HDFS with df.registerTempTable("table_name")I have tried:
scala> val df =... moreI would like to read a CSV in spark and convert it as DataFrame and store it in HDFS with df.registerTempTable("table_name")I have tried:
scala> val df = sqlContext.load("hdfs:///csv/file/dir/file.csv")
Error which I got:
java.lang.RuntimeException: hdfs:///csv/file/dir/file.csv is not a Parquet file. expected magic number at tail but found
at parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:418)
at org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$refresh$6.apply(newParquet.scala:277)
at org.apache.spark.sql.parquet.ParquetRelation2$MetadataCache$$anonfun$refresh$6.apply(newParquet.scala:276)
at scala.collection.parallel.mutable.ParArray$Map.leaf(ParArray.scala:658)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:54)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:53)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:53)
at... less
Are they supposed to be equal?
but, why the "hadoop fs" commands show the hdfs files while the "hdfs dfs" commands show the local files?
here is the hadoop version... moreAre they supposed to be equal?
but, why the "hadoop fs" commands show the hdfs files while the "hdfs dfs" commands show the local files?
here is the hadoop version information:
Hadoop 2.0.0-mr1-cdh4.2.1 Subversion git://ubuntu-slave07.jenkins.cloudera.com/var/lib/jenkins/workspace/CDH4.2.1-Packaging-MR1/build/cdh4/mr1/2.0.0-mr1-cdh4.2.1/source -r Compiled by jenkins on Mon Apr 22 10:48:26 PDT 2013
Nathan Marz in his book "Big Data" describes how to maintain files of data in HDFS and how to optimize files' sizes to be as near native HDFS block size as possible using... moreNathan Marz in his book "Big Data" describes how to maintain files of data in HDFS and how to optimize files' sizes to be as near native HDFS block size as possible using his Pail library running on top of Map Reduce.
Is it possible to achieve the same result in Google Cloud Storage?
Can I use Google Cloud Dataflow instead of MapReduce for this purpose?
I am concerning about extracting data from MongoDB where my application transact most of the data from MongoDB.
I have worked on sqoop to extract data and found RDBMS gel up with... moreI am concerning about extracting data from MongoDB where my application transact most of the data from MongoDB.
I have worked on sqoop to extract data and found RDBMS gel up with HDFS via sqoop. However, no clear direction found to extract data from NoSQL DB with sqoop to dump it over HDFS for big chunk of data processing? Please share your suggestions and investigations.
I have extracted static information and data transactions from MySQL. Simply, used sqoop to store data in HDFS and processed the data. Now, I have some live transactions of 1million unique emailIDs per day which data modelled into MongoDB. I need to move data from mongoDB to HDFS for processing/ETL. How can I achieve this goal using Sqoop. I know I can schedule my task but what should be the best approach to take out data from mongoDB via sqoop.
Consider 5DN cluster with 2TB size. Data size varies from 1GB ~ 2GB in peak hours. less
How to copy file from HDFS to the local file system . There is no physical location of a file under the file , not even directory . how can i moved them to my local for further... moreHow to copy file from HDFS to the local file system . There is no physical location of a file under the file , not even directory . how can i moved them to my local for further validations.i am tried through winscp
I have a HBase with the 750GB data. All data in the HBase are time series sensor data. And, my row key design is like this;
deviceID,sensorID,timestamp
I want to prepare all data... moreI have a HBase with the 750GB data. All data in the HBase are time series sensor data. And, my row key design is like this;
deviceID,sensorID,timestamp
I want to prepare all data in the hbase for batch processing(for example, CSV format on the HDFS). But there is a lot of data in the hbase. Can I prepare data using hive without getting data partially? Because, if I will get data using sensor id(scan query with start-end row), I must specify start and end row for each time. I don't want do this.
I have a multinode Hadoop cluster setup with two nodes(one master node and one slave node). Each node with 8GB RAM.
I have also configured hive on the master node. Everything is... moreI have a multinode Hadoop cluster setup with two nodes(one master node and one slave node). Each node with 8GB RAM.
I have also configured hive on the master node. Everything is up and working.
Nodemanager and Datanode are working on the slave node.
ResourceManager, Namenode, and SecondaryNamenode are also working on the master node.
I am able to access the hive terminal as well, but I am not able to drop the database through the drop database databaseName; command. It is not showing any error but has been stuck for more than an hour... Three tables have size 10000 * 20. I thought these may be causing the speed issues, so I wanted to delete the database, but am not able to delete via drop database command, so is there any way to do it directly by deleting any files?
I have tried to access hive.metastore.warehouse.dir to delete the database directly, but this directory is completely empty.
Similar slow behavior can be observed with other hive commands as well. I am just able to run one... less