CHANGES.txt 11 KB

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  1. Hadoop Change Log
  2. Trunk (unreleased)
  3. 1. HADOOP-208. Enhance MapReduce web interface, adding new pages
  4. for failed tasks, and tasktrackers. (omalley via cutting)
  5. 2. HADOOP-204. Tweaks to metrics package. (David Bowen via cutting)
  6. 3. HADOOP-209. Add a MapReduce-based file copier. This will
  7. copy files within or between file systems in parallel.
  8. (Milind Bhandarkar via cutting)
  9. 4. HADOOP-146. Fix DFS to check when randomly generating a new block
  10. id that no existing blocks already have that id.
  11. (Milind Bhandarkar via cutting)
  12. 5. HADOOP-180. Make a daemon thread that does the actual task clean ups, so
  13. that the main offerService thread in the taskTracker doesn't get stuck
  14. and miss his heartbeat window. This was killing many task trackers as
  15. big jobs finished (300+ tasks / node). (omalley via cutting)
  16. 6. HADOOP-200. Avoid transmitting entire list of map task names to
  17. reduce tasks. Instead just transmit the number of map tasks and
  18. henceforth refer to them by number when collecting map output.
  19. (omalley via cutting)
  20. Release 0.2.1 - 2006-05-12
  21. 1. HADOOP-199. Fix reduce progress (broken by HADOOP-182).
  22. (omalley via cutting)
  23. 2. HADOOP-201. Fix 'bin/hadoop dfs -report'. (cutting)
  24. 3. HADOOP-207. Fix JDK 1.4 incompatibility introduced by HADOOP-96.
  25. System.getenv() does not work in JDK 1.4. (Hairong Kuang via cutting)
  26. Release 0.2.0 - 2006-05-05
  27. 1. Fix HADOOP-126. 'bin/hadoop dfs -cp' now correctly copies .crc
  28. files. (Konstantin Shvachko via cutting)
  29. 2. Fix HADOOP-51. Change DFS to support per-file replication counts.
  30. (Konstantin Shvachko via cutting)
  31. 3. Fix HADOOP-131. Add scripts to start/stop dfs and mapred daemons.
  32. Use these in start/stop-all scripts. (Chris Mattmann via cutting)
  33. 4. Stop using ssh options by default that are not yet in widely used
  34. versions of ssh. Folks can still enable their use by uncommenting
  35. a line in conf/hadoop-env.sh. (cutting)
  36. 5. Fix HADOOP-92. Show information about all attempts to run each
  37. task in the web ui. (Mahadev konar via cutting)
  38. 6. Fix HADOOP-128. Improved DFS error handling. (Owen O'Malley via cutting)
  39. 7. Fix HADOOP-129. Replace uses of java.io.File with new class named
  40. Path. This fixes bugs where java.io.File methods were called
  41. directly when FileSystem methods were desired, and reduces the
  42. likelihood of such bugs in the future. It also makes the handling
  43. of pathnames more consistent between local and dfs FileSystems and
  44. between Windows and Unix. java.io.File-based methods are still
  45. available for back-compatibility, but are deprecated and will be
  46. removed once 0.2 is released. (cutting)
  47. 8. Change dfs.data.dir and mapred.local.dir to be comma-separated
  48. lists of directories, no longer be space-separated. This fixes
  49. several bugs on Windows. (cutting)
  50. 9. Fix HADOOP-144. Use mapred task id for dfs client id, to
  51. facilitate debugging. (omalley via cutting)
  52. 10. Fix HADOOP-143. Do not line-wrap stack-traces in web ui.
  53. (omalley via cutting)
  54. 11. Fix HADOOP-118. In DFS, improve clean up of abandoned file
  55. creations. (omalley via cutting)
  56. 12. Fix HADOOP-138. Stop multiple tasks in a single heartbeat, rather
  57. than one per heartbeat. (Stefan via cutting)
  58. 13. Fix HADOOP-139. Remove a potential deadlock in
  59. LocalFileSystem.lock(). (Igor Bolotin via cutting)
  60. 14. Fix HADOOP-134. Don't hang jobs when the tasktracker is
  61. misconfigured to use an un-writable local directory. (omalley via cutting)
  62. 15. Fix HADOOP-115. Correct an error message. (Stack via cutting)
  63. 16. Fix HADOOP-133. Retry pings from child to parent, in case of
  64. (local) communcation problems. Also log exit status, so that one
  65. can distinguish patricide from other deaths. (omalley via cutting)
  66. 17. Fix HADOOP-142. Avoid re-running a task on a host where it has
  67. previously failed. (omalley via cutting)
  68. 18. Fix HADOOP-148. Maintain a task failure count for each
  69. tasktracker and display it in the web ui. (omalley via cutting)
  70. 19. Fix HADOOP-151. Close a potential socket leak, where new IPC
  71. connection pools were created per configuration instance that RPCs
  72. use. Now a global RPC connection pool is used again, as
  73. originally intended. (cutting)
  74. 20. Fix HADOOP-69. Don't throw a NullPointerException when getting
  75. hints for non-existing file split. (Bryan Pendelton via cutting)
  76. 21. Fix HADOOP-157. When a task that writes dfs files (e.g., a reduce
  77. task) failed and was retried, it would fail again and again,
  78. eventually failing the job. The problem was that dfs did not yet
  79. know that the failed task had abandoned the files, and would not
  80. yet let another task create files with the same names. Dfs now
  81. retries when creating a file long enough for locks on abandoned
  82. files to expire. (omalley via cutting)
  83. 22. Fix HADOOP-150. Improved task names that include job
  84. names. (omalley via cutting)
  85. 23. Fix HADOOP-162. Fix ConcurrentModificationException when
  86. releasing file locks. (omalley via cutting)
  87. 24. Fix HADOOP-132. Initial check-in of new Metrics API, including
  88. implementations for writing metric data to a file and for sending
  89. it to Ganglia. (David Bowen via cutting)
  90. 25. Fix HADOOP-160. Remove some uneeded synchronization around
  91. time-consuming operations in the TaskTracker. (omalley via cutting)
  92. 26. Fix HADOOP-166. RPCs failed when passed subclasses of a declared
  93. parameter type. This is fixed by changing ObjectWritable to store
  94. both the declared type and the instance type for Writables. Note
  95. that this incompatibly changes the format of ObjectWritable and
  96. will render unreadable any ObjectWritables stored in files.
  97. Nutch only uses ObjectWritable in intermediate files, so this
  98. should not be a problem for Nutch. (Stefan & cutting)
  99. 27. Fix HADOOP-168. MapReduce RPC protocol methods should all declare
  100. IOException, so that timeouts are handled appropriately.
  101. (omalley via cutting)
  102. 28. Fix HADOOP-169. Don't fail a reduce task if a call to the
  103. jobtracker to locate map outputs fails. (omalley via cutting)
  104. 29. Fix HADOOP-170. Permit FileSystem clients to examine and modify
  105. the replication count of individual files. Also fix a few
  106. replication-related bugs. (Konstantin Shvachko via cutting)
  107. 30. Permit specification of a higher replication levels for job
  108. submission files (job.xml and job.jar). This helps with large
  109. clusters, since these files are read by every node. (cutting)
  110. 31. HADOOP-173. Optimize allocation of tasks with local data. (cutting)
  111. 32. HADOOP-167. Reduce number of Configurations and JobConf's
  112. created. (omalley via cutting)
  113. 33. NUTCH-256. Change FileSystem#createNewFile() to create a .crc
  114. file. The lack of a .crc file was causing warnings. (cutting)
  115. 34. HADOOP-174. Change JobClient to not abort job until it has failed
  116. to contact the job tracker for five attempts, not just one as
  117. before. (omalley via cutting)
  118. 35. HADOOP-177. Change MapReduce web interface to page through tasks.
  119. Previously, when jobs had more than a few thousand tasks they
  120. could crash web browsers. (Mahadev Konar via cutting)
  121. 36. HADOOP-178. In DFS, piggyback blockwork requests from datanodes
  122. on heartbeat responses from namenode. This reduces the volume of
  123. RPC traffic. Also move startup delay in blockwork from datanode
  124. to namenode. This fixes a problem where restarting the namenode
  125. triggered a lot of uneeded replication. (Hairong Kuang via cutting)
  126. 37. HADOOP-183. If the DFS namenode is restarted with different
  127. minimum and/or maximum replication counts, existing files'
  128. replication counts are now automatically adjusted to be within the
  129. newly configured bounds. (Hairong Kuang via cutting)
  130. 38. HADOOP-186. Better error handling in TaskTracker's top-level
  131. loop. Also improve calculation of time to send next heartbeat.
  132. (omalley via cutting)
  133. 39. HADOOP-187. Add two MapReduce examples/benchmarks. One creates
  134. files containing random data. The second sorts the output of the
  135. first. (omalley via cutting)
  136. 40. HADOOP-185. Fix so that, when a task tracker times out making the
  137. RPC asking for a new task to run, the job tracker does not think
  138. that it is actually running the task returned. (omalley via cutting)
  139. 41. HADOOP-190. If a child process hangs after it has reported
  140. completion, its output should not be lost. (Stack via cutting)
  141. 42. HADOOP-184. Re-structure some test code to better support testing
  142. on a cluster. (Mahadev Konar via cutting)
  143. 43. HADOOP-191 Add streaming package, Hadoop's first contrib module.
  144. This permits folks to easily submit MapReduce jobs whose map and
  145. reduce functions are implemented by shell commands. Use
  146. 'bin/hadoop jar build/hadoop-streaming.jar' to get details.
  147. (Michel Tourn via cutting)
  148. 44. HADOOP-189. Fix MapReduce in standalone configuration to
  149. correctly handle job jar files that contain a lib directory with
  150. nested jar files. (cutting)
  151. 45. HADOOP-65. Initial version of record I/O framework that enables
  152. the specification of record types and generates marshalling code
  153. in both Java and C++. Generated Java code implements
  154. WritableComparable, but is not yet otherwise used by
  155. Hadoop. (Milind Bhandarkar via cutting)
  156. 46. HADOOP-193. Add a MapReduce-based FileSystem benchmark.
  157. (Konstantin Shvachko via cutting)
  158. 47. HADOOP-194. Add a MapReduce-based FileSystem checker. This reads
  159. every block in every file in the filesystem. (Konstantin Shvachko
  160. via cutting)
  161. 48. HADOOP-182. Fix so that lost task trackers to not change the
  162. status of reduce tasks or completed jobs. Also fixes the progress
  163. meter so that failed tasks are subtracted. (omalley via cutting)
  164. 49. HADOOP-96. Logging improvements. Log files are now separate from
  165. standard output and standard error files. Logs are now rolled.
  166. Logging of all DFS state changes can be enabled, to facilitate
  167. debugging. (Hairong Kuang via cutting)
  168. Release 0.1.1 - 2006-04-08
  169. 1. Added CHANGES.txt, logging all significant changes to Hadoop. (cutting)
  170. 2. Fix MapReduceBase.close() to throw IOException, as declared in the
  171. Closeable interface. This permits subclasses which override this
  172. method to throw that exception. (cutting)
  173. 3. Fix HADOOP-117. Pathnames were mistakenly transposed in
  174. JobConf.getLocalFile() causing many mapred temporary files to not
  175. be removed. (Raghavendra Prabhu via cutting)
  176. 4. Fix HADOOP-116. Clean up job submission files when jobs complete.
  177. (cutting)
  178. 5. Fix HADOOP-125. Fix handling of absolute paths on Windows (cutting)
  179. Release 0.1.0 - 2006-04-01
  180. 1. The first release of Hadoop.