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Checksum Error Hadoop

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After loading around 2G or so data in a few files into hive, the "select count(*) from table" query keep failing. That would help you verify that the issue really is at HDFS layer (though it does look like that from the stack trace). Thanks. Thanks Vaibhav -----Original Message----- From: W S Chung Sent: Friday, August 19, 2011 3:26 PM To: Aggarwal, Vaibhav at Aug 20, 2011 at 12:58 am ⇧ This is a really curious have a peek here

By default, this lists all the codecs provided by Hadoop (see Table 4-3), so you would need to alter it only if you have a custom codec that you wish to register Need to take a closer look at the interaction of the InMemoryFileSystem and the ChecksumFileSystem. The JobTracker UI gives the following error:org.apache.hadoop.fs.ChecksumException: Checksum error:/blk_8155249261522439492:of:/user/hive/warehouse/att_log/collect_time=1313592519963/load.datat 51794944at org.apache.hadoop.fs.FSInputChecker.verifySum(FSInputChecker.java:277)at org.apache.hadoop.fs.FSInputChecker.readChecksumChunk(FSInputChecker.java:241)at org.apache.hadoop.fs.FSInputChecker.read1(FSInputChecker.java:189)at org.apache.hadoop.fs.FSInputChecker.read(FSInputChecker.java:158)at org.apache.hadoop.hdfs.DFSClient$BlockReader.read(DFSClient.java:1660)at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.readBuffer(DFSClient.java:2257)at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.read(DFSClient.java:2307)at java.io.DataInputStream.read(DataInputStream.java:83)at org.apache.hadoop.util.LineReader.readLine(LineReader.java:134)at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:136)at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:40)at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:66)at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:32)at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.next(HiveContextAwareRecordReader.java:67)at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.moveToNext(MapTask.java:192)at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.next(MapTask.java:176)at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:48)at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:358)at org.apache.hadoop.mapred.MapTask.run(MapTask.java:307)at org.apache.hadoop.mapred.Child.main(Child.java:159)fsck reports Automated exception search integrated into your IDE Test Samebug Integration for IntelliJ IDEA 0 mark get hadoop ChecksumException: Checksum error Stack Overflow | 4 years ago | Xuanzi Han org.apache.hadoop.fs.ChecksumException: Checksum http://stackoverflow.com/questions/15434709/checksum-exception-when-reading-from-or-copying-to-hdfs-in-apache-hadoop

What Is Checksum In Hadoop

Thanks. However I am not using the copyToLocal command, I am just using the copyFromLocal command two times after each other. Hide Permalink Espen Amble Kolstad added a comment - 23/Mar/07 08:30 I haven't been able to reproduce this error even on the same hardware. Its serialized format is an integer field (4 bytes) that specifies the number of bytes to follow, followed by the bytes themselves.

Join Now I want to fix my crash I want to help others org.apache.hadoop.fs.ChecksumException: Checksum error: file:/tmp/hadoop-root/mapred/system/job_local_0001/job.xml at 24576 Stack Overflow | gowthamganguri | 2 years ago 0 mark Multithreading Apache Fixed-length encodings are good when the distribution of values is fairly uniform across the whole value space, such as a (well-designed) hash function. Also, with fewer maps, the job is less granular and so may take longer to run.If the file in our hypothetical example were an LZO file, we would have the same Hadoop Fs Checksum The hive server is running at default port 10000.

The tool builds an index of split points, effectively making them splittable when the appropriate MapReduce input format is used.A bzip2 file, on the other hand, does provide a synchronization marker Looks like my heap is exhausted. A checksum exception is being thrown when trying to read from or transfer a file. With a custom Writable, you have full control over the binary representation and the sort order.

You can determine the size of the BytesWritable by calling getLength(). Hadoop Checksum Algorithm The data is deemed to be corrupt if the newly generated checksum doesn’t exactly match the original. b) Also there are CheckSumFileSystem etccc. In cases where the number of types is small and known ahead of time, this can be improved by having a static array of types and using the index into the

Copyfromlocal Checksum Error

The end of the string is detected when bytesToCodePoint() returns –1.Example 4-6. Iterating over the characters in a Text objectpublic class TextIterator { public static void main(String[] args) { Text t = new https://www.safaribooksonline.com/library/view/hadoop-the-definitive/9781449328917/ch04.html However, because every I/O operation on the disk or network carries with it a small chance of introducing errors into the data that it is reading or writing, when the volumes What Is Checksum In Hadoop Administrators should periodically check for these bad files and take action on them.CompressionFile compression brings two major benefits: it reduces the space needed to store files, and it speeds up data Hadoop Checksum Command There is also a LzoCodec for the pure LZO format, which uses the .lzo_deflate filename extension (by analogy with DEFLATE, which is gzip without the headers).Compressing and decompressing streams with CompressionCodecCompressionCodec

I have tried setting "io.skip.checksum.errors" to true, but has no effect at all.I know that checksum error is usually an indication of hardware problem. http://trinitylabsupply.com/checksum-error/checksum-error-rar-mac.html I have tried different authorization settings as well as meta= store configuration, but without success. But the only way I know to load data into a table with sequencefile as storage is to first load the text file into a table with textfile as storage and The Hadoop Distributed Filesystem The Design of HDFS HDFS Concepts Blocks Namenodes and Datanodes HDFS Federation HDFS High-Availability The Command-Line Interface Basic Filesystem Operations Hadoop Filesystems Interfaces The Java Interface Reading Hadoop Crc File

Thanks. This technique doesn’t offer any way to fix the data—it is merely error detection. (And this is a reason for not using low-end hardware; in particular, be sure to use ECC Also, the communication itself be= tween Hive client and metastore DB (postgres) seems fine. Check This Out For example, the following command creates a compressed file file.gz using the fastest compression method:gzip -1 fileThe different tools have very different compression characteristics.

Hbase-0.20.3 is also checked. Md5-of-0md5-of-512crc32c Sqoop Getting Sqoop Sqoop Connectors A Sample Import Text and Binary File Formats Generated Code Additional Serialization Systems Imports: A Deeper Look Controlling the Import Imports and Consistency Direct-mode Imports Working MapReduce Types and Formats MapReduce Types The Default MapReduce Job Input Formats Input Splits and Records Text Input Binary Input Multiple Inputs Database Input (and Output) Output Formats Text Output Binary

I...Bizarro Hive (Hadoop?) Error in Hive-userMy cluster went corrupt-mode.

What period of time must pass until a removed person can re-enter the UK? What’s New in the Second Edition? NullWritable can also be useful as a key in SequenceFile when you want to store a list of values, as opposed to key-value pairs. Compression In Hadoop As before, HDFS will store the file as 16 blocks.

What’s New in the Third Edition? In the JobTracker Web Interface, this turns out to be due to a number checksum error, like this: org.apache.hadoop.fs.ChecksumException: Checksum error: /blk_8155249261522439492:of:/user/hive/warehouse/att_log/collect_time=1313592519963/load.dat at 51794944 at org.apache.hadoop.fs.FSInputChecker.verifySum(FSInputChecker.java:277) at org.apache.hadoop.fs.FSInputChecker.readChecksumChunk(FSInputChecker.java:241) at org.apache.hadoop.fs.FSInputChecker.read1(FSInputChecker.java:189) at All have a get() and set() method for retrieving and storing the wrapped value.Table 4-7. Writable wrapper classes for Java primitivesJava primitiveWritable implementationSerialized size (bytes)booleanBooleanWritable1byteByteWritable1shortShortWritable2intIntWritable4 VIntWritable1–5floatFloatWritable4longLongWritable8 VLongWritable1–9doubleDoubleWritable8Figure 4-1. Writable class hierarchyWhen it comes to encoding integers, there this contact form Why hadoop has multiple filesystems , i thought it has only HDFS apart from local machines filesystem.

The JobTracker UI gives the following error:org.apache.hadoop.fs.ChecksumException: Checksum error:/blk_8155249261522439492:of:/user/hive/warehouse/att_log/collect_time=1313592519963/load.datat 51794944at org.apache.hadoop.fs.FSInputChecker.verifySum(FSInputChecker.java:277)at org.apache.hadoop.fs.FSInputChecker.readChecksumChunk(FSInputChecker.java:241)at org.apache.hadoop.fs.FSInputChecker.read1(FSInputChecker.java:189)at org.apache.hadoop.fs.FSInputChecker.read(FSInputChecker.java:158)at org.apache.hadoop.hdfs.DFSClient$BlockReader.read(DFSClient.java:1660)at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.readBuffer(DFSClient.java:2257)at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.read(DFSClient.java:2307)at java.io.DataInputStream.read(DataInputStream.java:83)at org.apache.hadoop.util.LineReader.readLine(LineReader.java:134)at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:136)at org.apache.hadoop.mapred.LineRecordReader.next(LineRecordReader.java:40)at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:66)at org.apache.hadoop.hive.ql.io.HiveRecordReader.doNext(HiveRecordReader.java:32)at org.apache.hadoop.hive.ql.io.HiveContextAwareRecordReader.next(HiveContextAwareRecordReader.java:67)at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.moveToNext(MapTask.java:192)at org.apache.hadoop.mapred.MapTask$TrackedRecordReader.next(MapTask.java:176)at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:48)at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:358)at org.apache.hadoop.mapred.MapTask.run(MapTask.java:307)at org.apache.hadoop.mapred.Child.main(Child.java:159)fsck reports I am attaching the stack trace below which shows the exceptions being thrown. (In this case I have posted the stack trace resulting from the hadoop fs -copyFromLocal command from terminal) As far as I can see, the behavior is somewhat different every time, in the sense of how many corrupted blocks and how many files I loaded before the corrupted blocks Instead, these application are written to use the abstract FileSystem API.

By using a finally block, we ensure that the compressor is returned to the pool even if there is an IOException while copying the bytes between the streams.Compression and Input SplitsWhen LZO, LZ4. For example: Text t = new Text("hadoop"); t.set("pig"); assertThat(t.getLength(), is(3)); assertThat(t.getBytes().length, is(3));WarningIn some situations, the byte array returned by the getBytes() method may be longer than the length returned by getLength(): The hashCode() method is used by the HashPartitioner (the default partitioner in MapReduce) to choose a reduce partition, so you should make sure that you write a good hash function that

Since the map output is written to disk and transferred across the network to the reducer nodes, by using a fast compressor such as LZO, LZ4, or Snappy, you can get This is the approach that GenericWritable takes, and you have to subclass it to specify which types to support.Writable collectionsThere are six Writable collection types in the org.apache.hadoop.io package: ArrayWritable, ArrayPrimitiveWritable, Thanks Vandana Ayyalasomayajula...Hive HFileOutput Error in Hive-userHey all, I'm just getting started with Hive, and am trying to follow the instructions on https://cwiki.apache.org/confluence/display/Hive/HBaseBulkLoad. The type of each key and value field is a part of the serialization format for that field.

This is accomplished by using RawLocalFileSystem in place of LocalFileSystem. I tried looking for the crc file however I can't seem to find it (possibly since this would be located on hdfs?). What I did was simply create a new file and copied all the contents from the problematic file. How does Professor McGonagall know about the Golden Trio's conversation?

Finally, we call finish() on CompressionOutputStream, which tells the compressor to finish writing to the compressed stream, but doesn’t close the stream. Hide Permalink Doug Cutting added a comment - 07/Mar/07 23:49 Could this in fact be caused by a machine w/o ECC memory? The default is 512 bytes, and because a CRC-32 checksum is 4 bytes long, the storage overhead is less than 1%.Datanodes are responsible for verifying the data they receive before storing Show Doug Cutting added a comment - 07/Mar/07 23:49 Could this in fact be caused by a machine w/o ECC memory?

It could be HDFS, in which case it invokes HDFS client code to interact with the NameNode and DataNodes. Fo= rrest requires Java 5. For the first loaded file, 'hadoop fs -copyToLocal' works fine.