{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":17165658,"defaultBranch":"master","name":"spark","ownerLogin":"apache","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2014-02-25T08:00:08.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/47359?v=4","public":true,"private":false,"isOrgOwned":true},"refInfo":{"name":"","listCacheKey":"v0:1718082245.0","currentOid":""},"activityList":{"items":[{"before":"72df3cb1a43bd3cc0b20456733228dbb0b403305","after":"334816af5f865d0e4c7a8e9c02b30236052d214e","ref":"refs/heads/master","pushedAt":"2024-06-12T03:45:44.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HeartSaVioR","name":"Jungtaek Lim","path":"/HeartSaVioR","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/1317309?s=80&v=4"},"commit":{"message":"[SPARK-48411][SS][PYTHON] Add E2E test for DropDuplicateWithinWatermark\n\n### What changes were proposed in this pull request?\nThis PR adds a test 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For example, string searching in UTF8_LCASE now works on character-level (rather than on byte-level), which is reflected in this PRs: https://github.com/apache/spark/pull/46511, https://github.com/apache/spark/pull/46589, https://github.com/apache/spark/pull/46682, https://github.com/apache/spark/pull/46761, https://github.com/apache/spark/pull/46762. 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authored or co-authored using generative AI tooling?\n\nNo.\n\nCloses #46900 from nikolamand-db/SPARK-48556.\n\nAuthored-by: Nikola Mandic \nSigned-off-by: Wenchen Fan ","shortMessageHtmlLink":"[SPARK-48556][SQL] Fix incorrect error message pointing to UNSUPPORTE…"}},{"before":"df4156aa3217cf0f58b4c6cbf33c967bb43f7155","after":"583ab0500c79bd3cf0146bc1f05f8a11ec37d9a5","ref":"refs/heads/master","pushedAt":"2024-06-11T16:42:05.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"cloud-fan","name":"Wenchen Fan","path":"/cloud-fan","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/3182036?s=80&v=4"},"commit":{"message":"[SPARK-47415][SQL] Add collation support for Levenshtein expression\n\n### What changes were proposed in this pull request?\nIntroduce collation support for `levenshtein` string expression (pass-through).\n\n### Why are the changes needed?\nAdd collation support for Levenshtein expression in Spark.\n\n### Does this PR introduce _any_ user-facing change?\nYes, users should now be able to use collated strings within arguments for string function: levenshtein.\n\n### How was this patch tested?\nE2e sql tests.\n\n### Was this patch authored or co-authored using generative AI tooling?\nNo.\n\nCloses #46788 from uros-db/levenshtein.\n\nAuthored-by: Uros Bojanic <157381213+uros-db@users.noreply.github.com>\nSigned-off-by: Wenchen Fan ","shortMessageHtmlLink":"[SPARK-47415][SQL] Add collation support for Levenshtein expression"}},{"before":"452c1b64b6252b981d261084d870e65ba6d006c9","after":"df4156aa3217cf0f58b4c6cbf33c967bb43f7155","ref":"refs/heads/master","pushedAt":"2024-06-11T10:45:13.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"zhengruifeng","name":"Ruifeng Zheng","path":"/zhengruifeng","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/7322292?s=80&v=4"},"commit":{"message":"[SPARK-48372][SPARK-45716][PYTHON][FOLLOW-UP] Remove unused helper method\n\n### What changes were proposed in this pull 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needed?\n\nRestore thread dump display in UI.\n\n### Does this PR introduce _any_ user-facing change?\n\nYes, it only affects UI display.\n\n### How was this patch tested?\n\nCurrent master:\n\"master-branch\"\n\nWith this patch applied:\n\"Xnip2024-06-07_20-00-38\"\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nNo\n\nCloses #46916 from pan3793/SPARK-48565.\n\nAuthored-by: Cheng Pan \nSigned-off-by: Kent Yao ","shortMessageHtmlLink":"[SPARK-48565][UI] Fix thread dump display in UI"}},{"before":"3fe6abde125b7c34437a3f72d17ee97d9653c218","after":"1e4750e63403341331d77a3df4c1dfefbe240b02","ref":"refs/heads/master","pushedAt":"2024-06-11T02:53:23.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HyukjinKwon","name":"Hyukjin Kwon","path":"/HyukjinKwon","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6477701?s=80&v=4"},"commit":{"message":"[SPARK-47500][PYTHON][CONNECT][FOLLOWUP] Restore error message for `DataFrame.select(None)`\n\n### What changes were proposed in this pull request?\nthe refactor PR https://github.com/apache/spark/pull/45636 changed the error message of `DataFrame.select(None)` from `PySparkTypeError` to `AssertionError`, this PR restore the previous error message\n\n### Why are the changes needed?\nerror message improvement\n\n### Does this PR introduce _any_ user-facing change?\nyes, error message improvement\n\n### How was this patch tested?\nadded test\n\n### Was this patch authored or co-authored using generative AI tooling?\nno\n\nCloses #46930 from zhengruifeng/py_restore_select_error.\n\nAuthored-by: Ruifeng Zheng \nSigned-off-by: Hyukjin Kwon ","shortMessageHtmlLink":"[SPARK-47500][PYTHON][CONNECT][FOLLOWUP] Restore error message for `D…"}},{"before":null,"after":"e8752784e002d70cf79232f97202586517efa28e","ref":"refs/heads/dependabot/npm_and_yarn/ui-test/braces-3.0.3","pushedAt":"2024-06-11T02:37:22.000Z","pushType":"branch_creation","commitsCount":0,"pusher":{"login":"dependabot[bot]","name":null,"path":"/apps/dependabot","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/29110?s=80&v=4"},"commit":{"message":"Bump braces from 3.0.2 to 3.0.3 in /ui-test\n\nBumps [braces](https://github.com/micromatch/braces) from 3.0.2 to 3.0.3.\n- [Changelog](https://github.com/micromatch/braces/blob/master/CHANGELOG.md)\n- [Commits](https://github.com/micromatch/braces/compare/3.0.2...3.0.3)\n\n---\nupdated-dependencies:\n- dependency-name: braces\n dependency-type: indirect\n...\n\nSigned-off-by: dependabot[bot] ","shortMessageHtmlLink":"Bump braces from 3.0.2 to 3.0.3 in 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co-authored using generative AI tooling?\nNo\n\nCloses #46913 from LuciferYang/pickle-1.5.\n\nAuthored-by: yangjie01 \nSigned-off-by: yangjie01 ","shortMessageHtmlLink":"[SPARK-48563][BUILD] Upgrade pickle to 1.5"}},{"before":"ec6db63ca6acdf7ba32d3ded99ea207dd3823633","after":"5a2f374a208f9580ea8d0183d75df6cd2bee8e1f","ref":"refs/heads/master","pushedAt":"2024-06-10T18:18:15.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"JoshRosen","name":"Josh Rosen","path":"/JoshRosen","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/50748?s=80&v=4"},"commit":{"message":"[SPARK-48544][SQL] Reduce memory pressure of empty TreeNode BitSets\n\n### What changes were proposed in this pull request?\n\n- Changed the `ineffectiveRules` variable of the `TreeNode` class to initialize lazily. This will reduce unnecessary driver memory pressure.\n\n### Why are the changes needed?\n\n- Plans with large expression or operator trees are known to cause driver memory pressure; this is one step in alleviating that issue.\n\n### Does this PR introduce _any_ user-facing change?\n\nNo.\n\n### How was this patch tested?\n\nExisting UT covers behavior. Outwards facing behavior does not change.\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nNo\n\nCloses #46919 from n-young-db/ineffective-rules-lazy.\n\nAuthored-by: Nick Young \nSigned-off-by: Josh Rosen ","shortMessageHtmlLink":"[SPARK-48544][SQL] Reduce memory pressure of empty TreeNode BitSets"}},{"before":"3857a9d36d4ae923994ac70a50e5be9c36686836","after":"ec6db63ca6acdf7ba32d3ded99ea207dd3823633","ref":"refs/heads/master","pushedAt":"2024-06-10T18:06:46.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HyukjinKwon","name":"Hyukjin Kwon","path":"/HyukjinKwon","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6477701?s=80&v=4"},"commit":{"message":"[SPARK-48569][SS][CONNECT] Handle edge cases in query.name\n\n### What changes were proposed in this pull request?\n\n1. In connect, when a streaming query name is not specified, it's query.name should return None. Currently it returns an empty string without this patch.\n2. In classic spark, one cannot set the streaming query's name to be empty string. This check was missing in Spark Connect. Adding it back.\n\n### Why are the changes needed?\n\nEdge case handling.\n\n### Does this PR introduce _any_ user-facing change?\n\nNo\n\n### How was this patch tested?\n\nAdded unit test.\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nNo.\n\nCloses #46920 from WweiL/SPARK-48569-query-name-None.\n\nAuthored-by: Wei Liu \nSigned-off-by: Hyukjin Kwon ","shortMessageHtmlLink":"[SPARK-48569][SS][CONNECT] Handle edge cases in query.name"}},{"before":"61fd936c8939b139f8fa02be8c90e655c2afa355","after":"3857a9d36d4ae923994ac70a50e5be9c36686836","ref":"refs/heads/master","pushedAt":"2024-06-10T16:18:20.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"cloud-fan","name":"Wenchen Fan","path":"/cloud-fan","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/3182036?s=80&v=4"},"commit":{"message":"[SPARK-48410][SQL] Fix InitCap expression for UTF8_BINARY_LCASE & ICU collations\n\n### What changes were proposed in this pull request?\nString titlecase conversion under UTF8_BINARY_LCASE and other ICU collations now work using the appropriate ICU default locale for character mapping, and uses ICU BreakIterator.getWordInstance to locate boundaries between words.\n\n### Why are the changes needed?\nSimilar Spark expressions such as Lower & Upper use the same interface (UCharacter) to perform collation-aware string transformation, and InitCap should offer a consistant way to titlecase strings across the collation space.\n\n### Does this PR introduce _any_ user-facing change?\nYes, InitCap should now work properly for all collations other than UTF8_BINARY.\n\n### How was this patch tested?\nNew and existing unit tests, as well as existing e2e sql tests.\n\n### Was this patch authored or co-authored using generative AI tooling?\nNo.\n\nCloses #46732 from uros-db/initcap-icu.\n\nAuthored-by: Uros Bojanic <157381213+uros-db@users.noreply.github.com>\nSigned-off-by: Wenchen Fan ","shortMessageHtmlLink":"[SPARK-48410][SQL] Fix InitCap expression for UTF8_BINARY_LCASE & ICU…"}},{"before":"190166908ba03897235ba2591f0f9200e7e80387","after":"61fd936c8939b139f8fa02be8c90e655c2afa355","ref":"refs/heads/master","pushedAt":"2024-06-10T16:14:19.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"cloud-fan","name":"Wenchen Fan","path":"/cloud-fan","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/3182036?s=80&v=4"},"commit":{"message":"[SPARK-48403][SQL] Fix Lower & Upper expressions for UTF8_BINARY_LCASE & ICU collations\n\n### What changes were proposed in this pull request?\nString lowercase/uppercase conversion in UTF8_BINARY_LCASE now works using ICU default locale, similar to how other ICU collations currently work in Spark.\n\n### Why are the changes needed?\nAll collations apart from UTF8_BINARY should use the same interface (UCharacter) that utilizes ICU toLowerCase/toUpperCase implementation, rather than mixing JVM & ICU implementations.\n\n### Does this PR introduce _any_ user-facing change?\nNo.\n\n### How was this patch tested?\nExisting unit tests and e2e sql tests.\n\n### Was this patch authored or co-authored using generative AI tooling?\nNo.\n\nCloses #46720 from uros-db/lower-upper-initcap.\n\nAuthored-by: Uros Bojanic <157381213+uros-db@users.noreply.github.com>\nSigned-off-by: Wenchen Fan ","shortMessageHtmlLink":"[SPARK-48403][SQL] Fix Lower & Upper expressions for UTF8_BINARY_LCAS…"}},{"before":"d9394eee5ebbeb695baaec6122da2ed970842dfd","after":"190166908ba03897235ba2591f0f9200e7e80387","ref":"refs/heads/master","pushedAt":"2024-06-10T16:10:25.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HyukjinKwon","name":"Hyukjin Kwon","path":"/HyukjinKwon","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6477701?s=80&v=4"},"commit":{"message":"[SPARK-48564][PYTHON][CONNECT] Propagate cached schema in set operations\n\n### What changes were proposed in this pull request?\nPropagate cached schema in set operations\n\n### Why are the changes needed?\nto avoid extra RPC to get the schema of result data frame\n\n### Does this PR introduce _any_ user-facing change?\nNo\n\n### How was this patch tested?\nadded tests\n\n### Was this patch authored or co-authored using generative AI tooling?\nNo\n\nCloses #46915 from zhengruifeng/set_op_schema.\n\nAuthored-by: Ruifeng Zheng \nSigned-off-by: Hyukjin Kwon ","shortMessageHtmlLink":"[SPARK-48564][PYTHON][CONNECT] Propagate cached schema in set operations"}},{"before":"24bce72c9065336a962fe76feeb14fa2119ef961","after":"d9394eee5ebbeb695baaec6122da2ed970842dfd","ref":"refs/heads/master","pushedAt":"2024-06-09T15:36:08.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HyukjinKwon","name":"Hyukjin Kwon","path":"/HyukjinKwon","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6477701?s=80&v=4"},"commit":{"message":"[SPARK-48560][SS][PYTHON] Make StreamingQueryListener.spark settable\n\n### What changes were proposed in this pull request?\n\nThis PR proposes to make StreamingQueryListener.spark settable\n\n### Why are the changes needed?\n\n```python\nfrom pyspark.sql.streaming.listener import StreamingQueryListener\n\nclass MyListener(StreamingQueryListener):\n def __init__(self, spark):\n self.spark = spark\n\n def onQueryStarted(self, event):\n pass\n\n def onQueryProgress(self, event):\n pass\n\n def onQueryTerminated(self, event):\n pass\n\nMyListener(spark)\n```\n\nis broken from 3.5.0 after SPARK-42941.\n\n### Does this PR introduce _any_ user-facing change?\n\nYes, end users who implement `StreamingQueryListener` can add `spark` attribute in their implementation.\n\n### How was this patch tested?\n\nManually tested, and added a unittest.\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nNo.\n\nCloses #46909 from HyukjinKwon/compat-spark-prop.\n\nAuthored-by: Hyukjin Kwon \nSigned-off-by: Hyukjin Kwon ","shortMessageHtmlLink":"[SPARK-48560][SS][PYTHON] Make StreamingQueryListener.spark settable"}},{"before":"201df0d7ac81f6bd5c39f513b0a06cb659dc9a3f","after":"24bce72c9065336a962fe76feeb14fa2119ef961","ref":"refs/heads/master","pushedAt":"2024-06-09T14:22:30.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"sunchao","name":"Chao Sun","path":"/sunchao","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/506679?s=80&v=4"},"commit":{"message":"[SPARK-48012][SQL] SPJ: Support Transfrom Expressions for One Side Shuffle\n\n### Why are the changes needed?\n\nSupport SPJ one-side shuffle if other side has partition transform expression\n\n ### How was this patch tested?\n\nNew unit test in KeyGroupedPartitioningSuite\n\n ### Was this patch authored or co-authored using generative AI tooling?\n\n No.\n\nCloses #46255 from szehon-ho/spj_auto_bucket.\n\nAuthored-by: Szehon Ho \nSigned-off-by: Chao Sun ","shortMessageHtmlLink":"[SPARK-48012][SQL] SPJ: Support Transfrom Expressions for One Side Sh…"}},{"before":"8911d59005e81062c3a515531b03dcf3478db82a","after":"201df0d7ac81f6bd5c39f513b0a06cb659dc9a3f","ref":"refs/heads/master","pushedAt":"2024-06-07T23:49:25.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"zhengruifeng","name":"Ruifeng Zheng","path":"/zhengruifeng","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/7322292?s=80&v=4"},"commit":{"message":"[MINOR][PYTHON][TESTS] Move a test out of parity tests\n\n### What changes were proposed in this pull request?\nMove a test out of parity tests\n\n### Why are the changes needed?\nit is not tested in Spark Classic, not a parity test\n\n### Does this PR introduce _any_ user-facing change?\nno\n\n### How was this patch tested?\nci\n\n### Was this patch authored or co-authored using generative AI tooling?\nno\n\nCloses #46914 from zhengruifeng/move_a_non_parity_test.\n\nAuthored-by: Ruifeng Zheng \nSigned-off-by: Ruifeng Zheng ","shortMessageHtmlLink":"[MINOR][PYTHON][TESTS] Move a test out of parity tests"}},{"before":"d81b1e3d358c7c9b3992413b6c7078c92ae9072f","after":"8911d59005e81062c3a515531b03dcf3478db82a","ref":"refs/heads/master","pushedAt":"2024-06-07T20:56:43.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"cloud-fan","name":"Wenchen Fan","path":"/cloud-fan","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/3182036?s=80&v=4"},"commit":{"message":"[SPARK-46393][SQL][FOLLOWUP] Classify exceptions in JDBCTableCatalog.loadTable and Fix UT\n\n### What changes were proposed in this pull request?\nThis is a followup of https://github.com/apache/spark/pull/46905, to fix `some UT` on GA.\n\n### Why are the changes needed?\nFix UT.\n\n### Does this PR introduce _any_ user-facing change?\nNo.,\n\n### How was this patch tested?\nManually test.\nPass GA\n\n### Was this patch authored or co-authored using generative AI tooling?\nNo.\n\nCloses #46912 from panbingkun/SPARK-46393_FOLLOWUP.\n\nLead-authored-by: panbingkun \nCo-authored-by: Wenchen Fan \nSigned-off-by: Wenchen Fan ","shortMessageHtmlLink":"[SPARK-46393][SQL][FOLLOWUP] Classify exceptions in JDBCTableCatalog.…"}},{"before":"87b0f5995383173f6736695211994a1a26995192","after":"d81b1e3d358c7c9b3992413b6c7078c92ae9072f","ref":"refs/heads/master","pushedAt":"2024-06-07T08:54:01.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"cloud-fan","name":"Wenchen Fan","path":"/cloud-fan","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/3182036?s=80&v=4"},"commit":{"message":"[SPARK-48559][SQL] Fetch globalTempDatabase name directly without invoking initialization of GlobalaTempViewManager\n\n### What changes were proposed in this pull request?\n\nIt's not necessary to create `GlobalaTempViewManager` only for getting the global temp db name. This PR updates the code to avoid this, as global temp db name is just a config.\n\n### Why are the changes needed?\n\navoid unnecessary RPC calls to check existence of global temp db\n\n### Does this PR introduce _any_ user-facing change?\n\nno\n\n### How was this patch tested?\n\nexisting tests\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nno\n\nCloses #46907 from willwwt/master.\n\nAuthored-by: Weitao Wen \nSigned-off-by: Wenchen Fan ","shortMessageHtmlLink":"[SPARK-48559][SQL] Fetch globalTempDatabase name directly without inv…"}},{"before":"b7d9c317aa2e4de8024e44db895fa8b0cbbb36db","after":"87b0f5995383173f6736695211994a1a26995192","ref":"refs/heads/master","pushedAt":"2024-06-07T08:37:09.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"zhengruifeng","name":"Ruifeng Zheng","path":"/zhengruifeng","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/7322292?s=80&v=4"},"commit":{"message":"[SPARK-48561][PS][CONNECT] Throw `PandasNotImplementedError` for unsupported plotting functions\n\n### What changes were proposed in this pull request?\nThrow `PandasNotImplementedError` for unsupported plotting functions:\n- {Frame, Series}.plot.hist\n- {Frame, Series}.plot.kde\n- {Frame, Series}.plot.density\n- {Frame, Series}.plot(kind=\"hist\", ...)\n- {Frame, Series}.plot(kind=\"hist\", ...)\n- {Frame, Series}.plot(kind=\"density\", ...)\n\n### Why are the changes needed?\nthe previous error message is confusing:\n```\nIn [3]: psdf.plot.hist()\n/Users/ruifeng.zheng/Dev/spark/python/pyspark/pandas/utils.py:1017: PandasAPIOnSparkAdviceWarning: The config 'spark.sql.ansi.enabled' is set to True. This can cause unexpected behavior from pandas API on Spark since pandas API on Spark follows the behavior of pandas, not SQL.\n warnings.warn(message, PandasAPIOnSparkAdviceWarning)\n[*********************************************-----------------------------------] 57.14% Complete (0 Tasks running, 1s, Scanned[*********************************************-----------------------------------] 57.14% Complete (0 Tasks running, 1s, Scanned[*********************************************-----------------------------------] 57.14% Complete (0 Tasks running, 1s, Scanned ---------------------------------------------------------------------------\nPySparkAttributeError Traceback (most recent call last)\nCell In[3], line 1\n----> 1 psdf.plot.hist()\n\nFile ~/Dev/spark/python/pyspark/pandas/plot/core.py:951, in PandasOnSparkPlotAccessor.hist(self, bins, **kwds)\n 903 def hist(self, bins=10, **kwds):\n 904 \"\"\"\n 905 Draw one histogram of the DataFrame’s columns.\n 906 A `histogram`_ is a representation of the distribution of data.\n (...)\n 949 >>> df.plot.hist(bins=12, alpha=0.5) # doctest: +SKIP\n 950 \"\"\"\n--> 951 return self(kind=\"hist\", bins=bins, **kwds)\n\nFile ~/Dev/spark/python/pyspark/pandas/plot/core.py:580, in PandasOnSparkPlotAccessor.__call__(self, kind, backend, **kwargs)\n 577 kind = {\"density\": \"kde\"}.get(kind, kind)\n 578 if hasattr(plot_backend, \"plot_pandas_on_spark\"):\n 579 # use if there's pandas-on-Spark specific method.\n--> 580 return plot_backend.plot_pandas_on_spark(plot_data, kind=kind, **kwargs)\n 581 else:\n 582 # fallback to use pandas'\n 583 if not PandasOnSparkPlotAccessor.pandas_plot_data_map[kind]:\n\nFile ~/Dev/spark/python/pyspark/pandas/plot/plotly.py:41, in plot_pandas_on_spark(data, kind, **kwargs)\n 39 return plot_pie(data, **kwargs)\n 40 if kind == \"hist\":\n---> 41 return plot_histogram(data, **kwargs)\n 42 if kind == \"box\":\n 43 return plot_box(data, **kwargs)\n\nFile ~/Dev/spark/python/pyspark/pandas/plot/plotly.py:87, in plot_histogram(data, **kwargs)\n 85 psdf, bins = HistogramPlotBase.prepare_hist_data(data, bins)\n 86 assert len(bins) > 2, \"the number of buckets must be higher than 2.\"\n---> 87 output_series = HistogramPlotBase.compute_hist(psdf, bins)\n 88 prev = float(\"%.9f\" % bins[0]) # to make it prettier, truncate.\n 89 text_bins = []\n\nFile ~/Dev/spark/python/pyspark/pandas/plot/core.py:189, in HistogramPlotBase.compute_hist(psdf, bins)\n 183 for group_id, (colname, bucket_name) in enumerate(zip(colnames, bucket_names)):\n 184 # creates a Bucketizer to get corresponding bin of each value\n 185 bucketizer = Bucketizer(\n 186 splits=bins, inputCol=colname, outputCol=bucket_name, handleInvalid=\"skip\"\n 187 )\n--> 189 bucket_df = bucketizer.transform(sdf)\n 191 if output_df is None:\n 192 output_df = bucket_df.select(\n 193 F.lit(group_id).alias(\"__group_id\"), F.col(bucket_name).alias(\"__bucket\")\n 194 )\n\nFile ~/Dev/spark/python/pyspark/ml/base.py:260, in Transformer.transform(self, dataset, params)\n 258 return self.copy(params)._transform(dataset)\n 259 else:\n--> 260 return self._transform(dataset)\n 261 else:\n 262 raise TypeError(\"Params must be a param map but got %s.\" % type(params))\n\nFile ~/Dev/spark/python/pyspark/ml/wrapper.py:412, in JavaTransformer._transform(self, dataset)\n 409 assert self._java_obj is not None\n 411 self._transfer_params_to_java()\n--> 412 return DataFrame(self._java_obj.transform(dataset._jdf), dataset.sparkSession)\n\nFile ~/Dev/spark/python/pyspark/sql/connect/dataframe.py:1696, in DataFrame.__getattr__(self, name)\n 1694 def __getattr__(self, name: str) -> \"Column\":\n 1695 if name in [\"_jseq\", \"_jdf\", \"_jmap\", \"_jcols\", \"rdd\", \"toJSON\"]:\n-> 1696 raise PySparkAttributeError(\n 1697 error_class=\"JVM_ATTRIBUTE_NOT_SUPPORTED\", message_parameters={\"attr_name\": name}\n 1698 )\n 1700 if name not in self.columns:\n 1701 raise PySparkAttributeError(\n 1702 error_class=\"ATTRIBUTE_NOT_SUPPORTED\", message_parameters={\"attr_name\": name}\n 1703 )\n\nPySparkAttributeError: [JVM_ATTRIBUTE_NOT_SUPPORTED] Attribute `_jdf` is not supported in Spark Connect as it depends on the JVM. If you need to use this attribute, do not use Spark Connect when creating your session. Visit https://spark.apache.org/docs/latest/sql-getting-started.html#starting-point-sparksession for creating regular Spark Session in detail.\n```\n\nafter this PR:\n```\nIn [3]: psdf.plot.hist()\n---------------------------------------------------------------------------\nPandasNotImplementedError Traceback (most recent call last)\nCell In[3], line 1\n----> 1 psdf.plot.hist()\n\nFile ~/Dev/spark/python/pyspark/pandas/plot/core.py:957, in PandasOnSparkPlotAccessor.hist(self, bins, **kwds)\n 909 \"\"\"\n 910 Draw one histogram of the DataFrame’s columns.\n 911 A `histogram`_ is a representation of the distribution of data.\n (...)\n 954 >>> df.plot.hist(bins=12, alpha=0.5) # doctest: +SKIP\n 955 \"\"\"\n 956 if is_remote():\n--> 957 return unsupported_function(class_name=\"pd.DataFrame\", method_name=\"hist\")()\n 959 return self(kind=\"hist\", bins=bins, **kwds)\n\nFile ~/Dev/spark/python/pyspark/pandas/missing/__init__.py:23, in unsupported_function..unsupported_function(*args, **kwargs)\n 22 def unsupported_function(*args, **kwargs):\n---> 23 raise PandasNotImplementedError(\n 24 class_name=class_name, method_name=method_name, reason=reason\n 25 )\n\nPandasNotImplementedError: The method `pd.DataFrame.hist()` is not implemented yet.\n```\n\n### Does this PR introduce _any_ user-facing change?\nyes, error message improvement\n\n### How was this patch tested?\nCI\n\n### Was this patch authored or co-authored using generative AI tooling?\nNo\n\nCloses #46911 from zhengruifeng/ps_plotting_unsupported.\n\nAuthored-by: Ruifeng Zheng \nSigned-off-by: Ruifeng Zheng ","shortMessageHtmlLink":"[SPARK-48561][PS][CONNECT] Throw PandasNotImplementedError for unsu…"}},{"before":"94912920b0e92c9470bdb27a409799d0fe48ff69","after":"b7d9c317aa2e4de8024e44db895fa8b0cbbb36db","ref":"refs/heads/master","pushedAt":"2024-06-07T08:32:02.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"yaooqinn","name":"Kent Yao","path":"/yaooqinn","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/8326978?s=80&v=4"},"commit":{"message":"Revert \"[SPARK-46393][SQL][FOLLOWUP] Classify exceptions in JDBCTableCatalog.loadTable\"\n\nThis reverts commit 82b4ad2af64845503604da70ff02748c3969c991.","shortMessageHtmlLink":"Revert \"[SPARK-46393][SQL][FOLLOWUP] Classify exceptions in JDBCTable…"}},{"before":"82b4ad2af64845503604da70ff02748c3969c991","after":"94912920b0e92c9470bdb27a409799d0fe48ff69","ref":"refs/heads/master","pushedAt":"2024-06-07T02:14:30.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"yaooqinn","name":"Kent Yao","path":"/yaooqinn","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/8326978?s=80&v=4"},"commit":{"message":"[SPARK-48548][BUILD] Add LICENSE/NOTICE for spark-core with shaded dependencies\n\n### What changes were proposed in this pull request?\n\nThe core module shipped with some bundled dependencies, it's better to add LICENSE/NOTICE to conform to the ASF policies.\n\n### Why are the changes needed?\n\nASF legal compliance\n\n### Does this PR introduce _any_ user-facing change?\n\nno\n### How was this patch tested?\n\npass build\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nno\n\nCloses #46891 from yaooqinn/SPARK-48548.\n\nAuthored-by: Kent Yao \nSigned-off-by: Kent Yao ","shortMessageHtmlLink":"[SPARK-48548][BUILD] Add LICENSE/NOTICE for spark-core with shaded de…"}},{"before":"56b9b134041b117e826a767b71841fd6d3f7602c","after":"82b4ad2af64845503604da70ff02748c3969c991","ref":"refs/heads/master","pushedAt":"2024-06-07T02:11:46.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"yaooqinn","name":"Kent Yao","path":"/yaooqinn","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/8326978?s=80&v=4"},"commit":{"message":"[SPARK-46393][SQL][FOLLOWUP] Classify exceptions in JDBCTableCatalog.loadTable\n\n### What changes were proposed in this pull request?\n\nThis is a followup of https://github.com/apache/spark/pull/44335 , which missed to handle `loadTable`\n\n### Why are the changes needed?\n\nbetter error message\n\n### Does this PR introduce _any_ user-facing change?\n\nno\n\n### How was this patch tested?\n\nexisting test\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nno\n\nCloses #46905 from cloud-fan/jdbc.\n\nAuthored-by: Wenchen Fan \nSigned-off-by: Kent Yao ","shortMessageHtmlLink":"[SPARK-46393][SQL][FOLLOWUP] Classify exceptions in JDBCTableCatalog.…"}},{"before":"9de0a2eca9ce0965350d19d207f6db01b7081b27","after":"56b9b134041b117e826a767b71841fd6d3f7602c","ref":"refs/heads/master","pushedAt":"2024-06-07T02:07:56.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HyukjinKwon","name":"Hyukjin Kwon","path":"/HyukjinKwon","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6477701?s=80&v=4"},"commit":{"message":"[SPARK-48552][SQL] multi-line CSV schema inference should also throw FAILED_READ_FILE\n\n### What changes were proposed in this pull request?\n\nmulti-line CSV uses `BinaryFileRDD` instead of `FileScanRDD`, and we need to replicate the error handling code from `FileScanRDD`. Currently we already replicate the handling of ignore missing/corrupted files, and this PR replicates the error wrapping code.\n\n### Why are the changes needed?\n\nto have consistent error message\n\n### Does this PR introduce _any_ user-facing change?\n\nNo\n\n### How was this patch tested?\n\nupdated test\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nno\n\nCloses #46890 from cloud-fan/error.\n\nLead-authored-by: Wenchen Fan \nCo-authored-by: Wenchen Fan \nSigned-off-by: Hyukjin Kwon ","shortMessageHtmlLink":"[SPARK-48552][SQL] multi-line CSV schema inference should also throw …"}},{"before":"cf3051b181318bb05486fbe37c94c0ef70e355be","after":"9de0a2eca9ce0965350d19d207f6db01b7081b27","ref":"refs/heads/master","pushedAt":"2024-06-07T00:15:00.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"HyukjinKwon","name":"Hyukjin Kwon","path":"/HyukjinKwon","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/6477701?s=80&v=4"},"commit":{"message":"[SPARK-42944][FOLLOWUP][SS][CONNECT] Reenable ApplyInPandasWithState tests\n\n### What changes were proposed in this pull request?\n\nThe tests for ApplyInPandasWithState was skipped in connect before. This was because the tests uses foreachBatch, which was not ready when the development is done. So they were skipped. This PR reenables them.\n\n### Why are the changes needed?\n\nNecessary tests\n\n### Does this PR introduce _any_ user-facing change?\n\nNo\n\n### How was this patch tested?\n\nTest only addition.\n\n### Was this patch authored or co-authored using generative AI tooling?\n\nNo\n\nCloses #46853 from WweiL/apply-in-pandas-with-state-test.\n\nAuthored-by: Wei Liu \nSigned-off-by: Hyukjin Kwon ","shortMessageHtmlLink":"[SPARK-42944][FOLLOWUP][SS][CONNECT] Reenable ApplyInPandasWithState …"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"djE6ks8AAAAEYtzQXAA","startCursor":null,"endCursor":null}},"title":"Activity · apache/spark"}