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[GitHub] [spark] HyukjinKwon edited a comment on pull request #28445: [SPARK-31212][SQL][2.4] Fix Failure of casting the '1000-02-29' string to the date type

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HyukjinKwon edited a comment on pull request #28445: URL: https://github.com/apache/spark/pull/28445#issuecomment-624455200 Okay, I had some time to investigate the related items here. I think there are some more places to fix, e.g.

[GitHub] [spark] HyukjinKwon edited a comment on pull request #28445: [SPARK-31212][SQL][2.4] Fix Failure of casting the '1000-02-29' string to the date type

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HyukjinKwon edited a comment on pull request #28445: URL: https://github.com/apache/spark/pull/28445#issuecomment-624455200 Okay, I had some time to investigate the related items here. I think there are some more places to fix, e.g.

[GitHub] [spark] HyukjinKwon commented on pull request #28445: [SPARK-31212][SQL][2.4] Fix Failure of casting the '1000-02-29' string to the date type

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HyukjinKwon commented on pull request #28445: URL: https://github.com/apache/spark/pull/28445#issuecomment-624455200 Okay, I had some time to investigate the related items here. I think there are some more places to fix, e.g.

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zhengruifeng removed a comment on pull request #27473: URL: https://github.com/apache/spark/pull/27473#issuecomment-582765435 data: `a9a`: numFeatures=123, numInstances=32,561 testCode: ```scala import org.apache.spark.ml.clustering._ import

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[GitHub] [spark] zhengruifeng opened a new pull request #27473: [SPARK-30699][WIP][ML][PYSPARK] GMM blockify input vectors

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zhengruifeng opened a new pull request #27473: URL: https://github.com/apache/spark/pull/27473 ### What changes were proposed in this pull request? 1, add Level-2 BLAS routine `ger`; 2, stack input vectors to blocks to use Level-3 BLAS routine in training ### Why are the

[GitHub] [spark] zhengruifeng edited a comment on pull request #28458: [SPARK-30659][ML][PYSPARK] LogisticRegression blockify input vectors

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zhengruifeng edited a comment on pull request #28458: URL: https://github.com/apache/spark/pull/28458#issuecomment-624427337 performace test on **sparse dataset**: the first 10,000 instances of `webspam_wc_normalized_trigram` code: ```scala val df =

[GitHub] [spark] dilipbiswal commented on a change in pull request #28425: [SPARK-31480][SQL] Improve the EXPLAIN FORMATTED's output for DSV2's Scan Node

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dilipbiswal commented on a change in pull request #28425: URL: https://github.com/apache/spark/pull/28425#discussion_r420550918 ## File path: sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala ## @@ -343,6 +343,54 @@ class ExplainSuite extends ExplainSuiteHelper

[GitHub] [spark] baohe-zhang commented on pull request #28412: [SPARK-31608][CORE][WEBUI] Add a new type of KVStore to make loading UI faster

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baohe-zhang commented on pull request #28412: URL: https://github.com/apache/spark/pull/28412#issuecomment-624445143 Another way is to keep a thread-safe variable called availableMemory in FsHistoryProvider. The initial value can be set as a percentage of Xmx. When we parse a file via

[GitHub] [spark] gengliangwang commented on a change in pull request #28459: [SPARK-31647][SQL] Deprecate 'spark.sql.optimizer.metadataOnly' configuration

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gengliangwang commented on a change in pull request #28459: URL: https://github.com/apache/spark/pull/28459#discussion_r420545275 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ## @@ -845,8 +845,9 @@ object SQLConf { .doc("When

[GitHub] [spark] HeartSaVioR commented on pull request #28412: [SPARK-31608][CORE][WEBUI] Add a new type of KVStore to make loading UI faster

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HeartSaVioR commented on pull request #28412: URL: https://github.com/apache/spark/pull/28412#issuecomment-624441325 I'm not sure that's fairly simple to do. Concurrent load of applications can be happening in SHS, right? The default value of `spark.history.retainedApplications` is 50,

[GitHub] [spark] cloud-fan commented on pull request #28366: [SPARK-31365][SQL] Enable nested predicate pushdown per data sources

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cloud-fan commented on pull request #28366: URL: https://github.com/apache/spark/pull/28366#issuecomment-624439850 thanks, merging to master/3.0! This is an automated message from the Apache Git Service. To respond to the

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baohe-zhang commented on pull request #28412: URL: https://github.com/apache/spark/pull/28412#issuecomment-624439430 @HeartSaVioR One way in my mind is that we can monitor the memory usage of SHS. If the memory usage or event log size exceeds a threshold (e.g, over 50% of Xmx), we can use

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cloud-fan commented on a change in pull request #28425: URL: https://github.com/apache/spark/pull/28425#discussion_r420540911 ## File path: sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala ## @@ -343,6 +343,54 @@ class ExplainSuite extends ExplainSuiteHelper

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[GitHub] [spark] cloud-fan commented on pull request #28393: [SPARK-31595][SQL] Spark sql should allow unescaped quote mark in quoted string

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cloud-fan commented on pull request #28393: URL: https://github.com/apache/spark/pull/28393#issuecomment-624436648 thanks, merging to master/3.0! This is an automated message from the Apache Git Service. To respond to the

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cloud-fan commented on pull request #28393: URL: https://github.com/apache/spark/pull/28393#issuecomment-624436428 cc @juliuszsompolski as well This is an automated message from the Apache Git Service. To respond to the

[GitHub] [spark] erenavsarogullari edited a comment on pull request #28208: [SPARK-31440][SQL] Improve SQL Rest API

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erenavsarogullari edited a comment on pull request #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-624435102 @gengliangwang There is optional Http parameter: `details` (default: `false`). It needs to be set in order to fetch `node`, `edge` and `planDescription`

[GitHub] [spark] erenavsarogullari commented on pull request #28208: [SPARK-31440][SQL] Improve SQL Rest API

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erenavsarogullari commented on pull request #28208: URL: https://github.com/apache/spark/pull/28208#issuecomment-624435102 @gengliangwang There is optional http parameter: `details` (default: `false`). It needs to be set in order to fetch `node`, `edge` and `planDescription` details as

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HeartSaVioR commented on pull request #28412: URL: https://github.com/apache/spark/pull/28412#issuecomment-624434103 Let's discuss first with the plan how to address the major concerns in comments, especially how to restrict the overall memory usage. I think that's a blocker for the

[GitHub] [spark] HyukjinKwon commented on a change in pull request #28442: [SPARK-31631][TESTS] Fix test flakiness caused by MiniKdc which throws 'address in use' BindException with retry

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HyukjinKwon commented on a change in pull request #28442: URL: https://github.com/apache/spark/pull/28442#discussion_r420536516 ## File path: external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/KafkaTestUtils.scala ## @@ -131,11 +130,7 @@ class

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HyukjinKwon commented on a change in pull request #28459: URL: https://github.com/apache/spark/pull/28459#discussion_r420533700 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ## @@ -2605,7 +2606,10 @@ object SQLConf {

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HyukjinKwon commented on a change in pull request #28459: URL: https://github.com/apache/spark/pull/28459#discussion_r420533700 ## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ## @@ -2605,7 +2606,10 @@ object SQLConf {

[GitHub] [spark] HyukjinKwon opened a new pull request #28459: [SPARK-31647][SQL] Deprecate 'spark.sql.optimizer.metadataOnly' configuration

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HyukjinKwon opened a new pull request #28459: URL: https://github.com/apache/spark/pull/28459 ### What changes were proposed in this pull request? This PR proposes to deprecate 'spark.sql.optimizer.metadataOnly' configuration and remove it in the future release. ### Why are

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zhengruifeng commented on pull request #28458: URL: https://github.com/apache/spark/pull/28458#issuecomment-624427337 performace test on the first 10,000 instances of `webspam_wc_normalized_trigram` code: ```scala val df = spark.read.option("numFeatures",

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zhengruifeng commented on pull request #28458: URL: https://github.com/apache/spark/pull/28458#issuecomment-624426340 performace test on [`epsilon_normalized.t`](https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary.html) code: ```scala import

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zhengruifeng opened a new pull request #28458: URL: https://github.com/apache/spark/pull/28458 ### What changes were proposed in this pull request? 1, reorg the `fit` method in LR to several blocks (`createModel`, `createBounds`, `createOptimizer`, `createInitCoefWithInterceptMatrix`);

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