Beata Nachyła (JIRA) |
[jira] [Commented] (SPARK-20767) The training continuation for saved LDA model |
Tue, 16 May, 12:05 |
Daniel Lanza García (JIRA) |
[jira] [Created] (SPARK-20693) Kafka+SSL: path for security related files needs to be different for driver and executors |
Wed, 10 May, 11:08 |
Diego Fustes Villadóniga (JIRA) |
[jira] [Commented] (SPARK-5159) Thrift server does not respect hive.server2.enable.doAs=true |
Thu, 04 May, 06:32 |
Lucas Mendonça (JIRA) |
[jira] [Commented] (SPARK-19371) Cannot spread cached partitions evenly across executors |
Mon, 08 May, 14:04 |
Maciej Bryński (JIRA) |
[jira] [Created] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Thu, 11 May, 11:43 |
Maciej Bryński (JIRA) |
[jira] [Updated] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Thu, 11 May, 11:58 |
Maciej Bryński (JIRA) |
[jira] [Updated] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Thu, 11 May, 11:59 |
Maciej Bryński (JIRA) |
[jira] [Updated] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Thu, 11 May, 12:03 |
Maciej Bryński (JIRA) |
[jira] [Commented] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Tue, 16 May, 12:49 |
Maciej Bryński (JIRA) |
[jira] [Comment Edited] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Tue, 16 May, 12:55 |
Maciej Bryński (JIRA) |
[jira] [Commented] (SPARK-16731) use StructType in CatalogTable and remove CatalogColumn |
Tue, 16 May, 13:00 |
Maciej Bryński (JIRA) |
[jira] [Comment Edited] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Tue, 16 May, 13:01 |
Maciej Bryński (JIRA) |
[jira] [Commented] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Mon, 22 May, 10:00 |
Maciej Bryński (JIRA) |
[jira] [Comment Edited] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Mon, 22 May, 10:01 |
Maciej Bryński (JIRA) |
[jira] [Comment Edited] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Mon, 22 May, 10:08 |
Maciej Bryński (JIRA) |
[jira] [Updated] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Mon, 22 May, 10:09 |
Maciej Bryński (JIRA) |
[jira] [Comment Edited] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Mon, 22 May, 10:09 |
Maciej Bryński (JIRA) |
[jira] [Commented] (SPARK-20712) [SQL] Spark can't read Hive table when column type has length greater than 4000 bytes |
Mon, 22 May, 10:57 |
Maciej Bryński (JIRA) |
[jira] [Commented] (SPARK-11083) insert overwrite table failed when beeline reconnect |
Tue, 30 May, 11:26 |
Maciej Bryński (JIRA) |
[jira] [Reopened] (SPARK-11083) insert overwrite table failed when beeline reconnect |
Tue, 30 May, 11:27 |
Martin Brišiak (JIRA) |
[jira] [Created] (SPARK-20865) caching dataset throws "Queries with streaming sources must be executed with writeStream.start()" |
Wed, 24 May, 10:40 |
Martin Brišiak (JIRA) |
[jira] [Commented] (SPARK-20865) caching dataset throws "Queries with streaming sources must be executed with writeStream.start()" |
Wed, 31 May, 07:19 |
Martin Brišiak (JIRA) |
[jira] [Issue Comment Deleted] (SPARK-20865) caching dataset throws "Queries with streaming sources must be executed with writeStream.start()" |
Wed, 31 May, 07:19 |
Michal Šenkýř (JIRA) |
[jira] [Commented] (SPARK-18891) Support for specific collection types |
Sat, 06 May, 14:41 |
Michal Šenkýř (JIRA) |
[jira] [Commented] (SPARK-18891) Support for specific collection types |
Wed, 17 May, 18:06 |
Michal Šenkýř (JIRA) |
[jira] [Commented] (SPARK-19089) Support nested arrays/seqs in Datasets |
Wed, 17 May, 18:17 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-20526) Load doesn't work in PCAModel |
Tue, 02 May, 05:50 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-19581) running NaiveBayes model with 0 features can crash the executor with D rorreGEMV |
Tue, 09 May, 03:53 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-19581) running NaiveBayes model with 0 features can crash the executor with D rorreGEMV |
Thu, 18 May, 07:35 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-20768) PySpark FPGrowth does not expose numPartitions (expert) param |
Thu, 18 May, 08:45 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-20768) PySpark FPGrowth does not expose numPartitions (expert) param |
Thu, 18 May, 08:53 |
Yan Facai (颜发才) (JIRA) |
[jira] [Comment Edited] (SPARK-20768) PySpark FPGrowth does not expose numPartitions (expert) param |
Thu, 18 May, 09:00 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-20787) PySpark can't handle datetimes before 1900 |
Fri, 26 May, 06:03 |
Yan Facai (颜发才) (JIRA) |
[jira] [Comment Edited] (SPARK-20787) PySpark can't handle datetimes before 1900 |
Fri, 26 May, 06:04 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-20498) RandomForestRegressionModel should expose getMaxDepth in PySpark |
Fri, 26 May, 07:55 |
Yan Facai (颜发才) (JIRA) |
[jira] [Comment Edited] (SPARK-19581) running NaiveBayes model with 0 features can crash the executor with D rorreGEMV |
Fri, 26 May, 09:03 |
Yan Facai (颜发才) (JIRA) |
[jira] [Commented] (SPARK-20787) PySpark can't handle datetimes before 1900 |
Mon, 29 May, 11:44 |
APeng Zhang (JIRA) |
[jira] [Created] (SPARK-20765) Cannot load persisted PySpark ML Pipeline that includes 3rd party stage (Transformer or Estimator) if the package name of stage is not "org.apache.spark" and "pyspark" |
Tue, 16 May, 09:27 |
APeng Zhang (JIRA) |
[jira] [Commented] (SPARK-20765) Cannot load persisted PySpark ML Pipeline that includes 3rd party stage (Transformer or Estimator) if the package name of stage is not "org.apache.spark" and "pyspark" |
Tue, 16 May, 13:38 |
APeng Zhang (JIRA) |
[jira] [Commented] (SPARK-20765) Cannot load persisted PySpark ML Pipeline that includes 3rd party stage (Transformer or Estimator) if the package name of stage is not "org.apache.spark" and "pyspark" |
Tue, 16 May, 14:18 |
Aaquib Khwaja (JIRA) |
[jira] [Commented] (SPARK-19275) Spark Streaming, Kafka receiver, "Failed to get records for ... after polling for 512" |
Thu, 18 May, 11:11 |
Aaquib Khwaja (JIRA) |
[jira] [Issue Comment Deleted] (SPARK-19275) Spark Streaming, Kafka receiver, "Failed to get records for ... after polling for 512" |
Wed, 24 May, 12:53 |
Abhishek Madav (JIRA) |
[jira] [Commented] (SPARK-19532) [Core]`DataStreamer for file` threads of DFSOutputStream leak if set `spark.speculation` to true |
Fri, 05 May, 21:54 |
Abhishek Madav (JIRA) |
[jira] [Created] (SPARK-20697) MSCK REPAIR TABLE resets the Storage Information for bucketed hive tables. |
Wed, 10 May, 17:36 |
Abhishek Madav (JIRA) |
[jira] [Updated] (SPARK-20697) MSCK REPAIR TABLE resets the Storage Information for bucketed hive tables. |
Wed, 10 May, 17:38 |
Aditya Sharad (JIRA) |
[jira] [Created] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 10:59 |
Aditya Sharad (JIRA) |
[jira] [Updated] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 11:00 |
Aditya Sharad (JIRA) |
[jira] [Updated] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 11:00 |
Aditya Sharad (JIRA) |
[jira] [Issue Comment Deleted] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 11:00 |
Aditya Sharad (JIRA) |
[jira] [Updated] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 11:01 |
Aditya Sharad (JIRA) |
[jira] [Commented] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 14:09 |
Aditya Sharad (JIRA) |
[jira] [Comment Edited] (SPARK-20922) Unsafe deserialization in Spark LauncherConnection |
Tue, 30 May, 15:17 |
Al Johri (JIRA) |
[jira] [Commented] (SPARK-13330) PYTHONHASHSEED is not propgated to python worker |
Thu, 04 May, 06:00 |
Ala Luszczak (JIRA) |
[jira] [Created] (SPARK-20798) GenerateUnsafeProjection should check if value is null before calling the getter |
Thu, 18 May, 12:11 |
Ala Luszczak (JIRA) |
[jira] [Updated] (SPARK-20798) GenerateUnsafeProjection should check if value is null before calling the getter |
Thu, 18 May, 12:15 |
Ala Luszczak (JIRA) |
[jira] [Updated] (SPARK-20798) GenerateUnsafeProjection should check if value is null before calling the getter |
Thu, 18 May, 13:32 |
Alex Bozarth (JIRA) |
[jira] [Commented] (SPARK-20630) Thread Dump link available in Executors tab irrespective of spark.ui.threadDumpsEnabled |
Mon, 08 May, 18:16 |
Alex Bozarth (JIRA) |
[jira] [Commented] (SPARK-4836) Web UI should display separate information for all stage attempts |
Fri, 12 May, 21:42 |
Alex Bozarth (JIRA) |
[jira] [Commented] (SPARK-20853) spark.ui.reverseProxy=true leads to hanging communication to master |
Tue, 23 May, 18:47 |
Alex Bozarth (JIRA) |
[jira] [Closed] (SPARK-20853) spark.ui.reverseProxy=true leads to hanging communication to master |
Tue, 23 May, 18:47 |
Alexander Bessonov (JIRA) |
[jira] [Created] (SPARK-20900) ApplicationMaster crashes if SPARK_YARN_STAGING_DIR is not set |
Fri, 26 May, 17:43 |
Alexander Enns (JIRA) |
[jira] [Created] (SPARK-20743) Spark ignores JVM Locale parsing CSV data |
Mon, 15 May, 13:01 |
Alexander Enns (JIRA) |
[jira] [Commented] (SPARK-18359) Let user specify locale in CSV parsing |
Mon, 15 May, 15:28 |
Alexander Enns (JIRA) |
[jira] [Commented] (SPARK-18359) Let user specify locale in CSV parsing |
Tue, 16 May, 13:34 |
Alexander Ulanov (JIRA) |
[jira] [Commented] (SPARK-10408) Autoencoder |
Tue, 09 May, 17:24 |
Allen George (JIRA) |
[jira] [Comment Edited] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe |
Wed, 17 May, 18:32 |
Allen George (JIRA) |
[jira] [Commented] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe |
Wed, 17 May, 18:32 |
Allen George (JIRA) |
[jira] [Commented] (SPARK-17463) Serialization of accumulators in heartbeats is not thread-safe |
Wed, 17 May, 23:24 |
Ameen Tayyebi (JIRA) |
[jira] [Created] (SPARK-20588) from_utc_timestamp causes bottleneck |
Wed, 03 May, 19:38 |
Ameen Tayyebi (JIRA) |
[jira] [Commented] (SPARK-20588) from_utc_timestamp causes bottleneck |
Wed, 03 May, 19:39 |
Ameen Tayyebi (JIRA) |
[jira] [Comment Edited] (SPARK-20588) from_utc_timestamp causes bottleneck |
Wed, 03 May, 19:41 |
Ameen Tayyebi (JIRA) |
[jira] [Commented] (SPARK-20588) from_utc_timestamp causes bottleneck |
Thu, 04 May, 14:21 |
Amit Kumar (JIRA) |
[jira] [Commented] (SPARK-20589) Allow limiting task concurrency per stage |
Mon, 15 May, 18:13 |
Anders Roos (JIRA) |
[jira] [Created] (SPARK-20623) Application link returns redirect to SPARK_LOCAL_IP and disregards SPARK_PUBLIC_DNS |
Sat, 06 May, 21:00 |
Anders Roos (JIRA) |
[jira] [Updated] (SPARK-20623) Application link returns redirect to SPARK_LOCAL_IP and disregards SPARK_PUBLIC_DNS |
Sat, 06 May, 22:09 |
Andrew Ash (JIRA) |
[jira] [Commented] (SPARK-19700) Design an API for pluggable scheduler implementations |
Tue, 16 May, 08:53 |
Andrew Ash (JIRA) |
[jira] [Commented] (SPARK-20683) Make table uncache chaining optional |
Fri, 19 May, 21:07 |
Andrew Ash (JIRA) |
[jira] [Created] (SPARK-20815) NullPointerException in RPackageUtils#checkManifestForR |
Fri, 19 May, 23:56 |
Andrew Ray (JIRA) |
[jira] [Commented] (SPARK-20429) [GRAPHX] Strange results for personalized pagerank if node is involved in a cycle |
Mon, 01 May, 17:00 |
Andrew Ray (JIRA) |
[jira] [Created] (SPARK-20769) Incorrect documentation for using Jupyter notebook |
Tue, 16 May, 14:56 |
Antoine PRANG (JIRA) |
[jira] [Commented] (SPARK-18838) High latency of event processing for large jobs |
Thu, 18 May, 22:40 |
Antoine PRANG (JIRA) |
[jira] [Updated] (SPARK-18838) High latency of event processing for large jobs |
Fri, 19 May, 09:26 |
Antoine PRANG (JIRA) |
[jira] [Commented] (SPARK-18838) High latency of event processing for large jobs |
Fri, 19 May, 09:33 |
Antoine PRANG (JIRA) |
[jira] [Commented] (SPARK-18838) High latency of event processing for large jobs |
Fri, 19 May, 15:40 |
Antoine PRANG (JIRA) |
[jira] [Comment Edited] (SPARK-18838) High latency of event processing for large jobs |
Fri, 19 May, 15:40 |
Antoine PRANG (JIRA) |
[jira] [Updated] (SPARK-18838) High latency of event processing for large jobs |
Thu, 25 May, 12:40 |
Antoine PRANG (JIRA) |
[jira] [Commented] (SPARK-18838) High latency of event processing for large jobs |
Thu, 25 May, 12:48 |
Apache Spark (JIRA) |
[jira] [Commented] (SPARK-20541) SparkR SS should support awaitTermination without timeout |
Mon, 01 May, 00:13 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20541) SparkR SS should support awaitTermination without timeout |
Mon, 01 May, 00:14 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20541) SparkR SS should support awaitTermination without timeout |
Mon, 01 May, 00:14 |
Apache Spark (JIRA) |
[jira] [Commented] (SPARK-20192) SparkR 2.2.0 migration guide, release note |
Mon, 01 May, 05:35 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20192) SparkR 2.2.0 migration guide, release note |
Mon, 01 May, 05:36 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20192) SparkR 2.2.0 migration guide, release note |
Mon, 01 May, 05:36 |
Apache Spark (JIRA) |
[jira] [Commented] (SPARK-20543) R should skip long running or non-essential tests when running on CRAN |
Mon, 01 May, 06:07 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20543) R should skip long running or non-essential tests when running on CRAN |
Mon, 01 May, 06:08 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20543) R should skip long running or non-essential tests when running on CRAN |
Mon, 01 May, 06:08 |
Apache Spark (JIRA) |
[jira] [Commented] (SPARK-20544) R wrapper for input_file_name |
Mon, 01 May, 07:08 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20544) R wrapper for input_file_name |
Mon, 01 May, 07:09 |
Apache Spark (JIRA) |
[jira] [Assigned] (SPARK-20544) R wrapper for input_file_name |
Mon, 01 May, 07:09 |
Apache Spark (JIRA) |
[jira] [Commented] (SPARK-20542) Add an API into Bucketizer that can bin a lot of columns all at once |
Mon, 01 May, 14:18 |