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Posted to commits@hudi.apache.org by GitBox <gi...@apache.org> on 2021/12/17 06:37:47 UTC
[GitHub] [hudi] leesf opened a new pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
leesf opened a new pull request #4350:
URL: https://github.com/apache/hudi/pull/4350
## *Tips*
- *Thank you very much for contributing to Apache Hudi.*
- *Please review https://hudi.apache.org/contribute/how-to-contribute before opening a pull request.*
## What is the purpose of the pull request
1. add modules and refactor existing modules to make spark2 and spark3 work.
2. Introduce HoodieCatalog to manage hudi tables and make write/read workable with spark2&spark3
3. add TestCatalog** tests.
## Brief change log
*(for example:)*
- *Modify AnnotationLocation checkstyle rule in checkstyle.xml*
## Verify this pull request
*(Please pick either of the following options)*
This pull request is a trivial rework / code cleanup without any test coverage.
*(or)*
This pull request is already covered by existing tests, such as *(please describe tests)*.
(or)
This change added tests and can be verified as follows:
*(example:)*
- *Added integration tests for end-to-end.*
- *Added HoodieClientWriteTest to verify the change.*
- *Manually verified the change by running a job locally.*
## Committer checklist
- [ ] Has a corresponding JIRA in PR title & commit
- [ ] Commit message is descriptive of the change
- [ ] CI is green
- [ ] Necessary doc changes done or have another open PR
- [ ] For large changes, please consider breaking it into sub-tasks under an umbrella JIRA.
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-996616502
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## CI report:
* e8837f6ec270ca7dc371c04a9c0365e9e82b6607 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4423)
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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* 73ef552299b138416f70604abe8b6314caca9e4d Azure: [PENDING](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4592)
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[GitHub] [hudi] xiarixiaoyao commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
xiarixiaoyao commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-996636564
gread work！！！
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## CI report:
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* efaf807c2e2252ff99819ce243b1c00e56da16cb Azure: [PENDING](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4421)
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Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-996491443
@hudi-bot run azure
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999984699
@hudi-bot run azure
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001135883
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001138517
>
There is no breaking changes for the approach, users have no need to change their format. I move some classes from `hudi-spark-datasource/hudi-spark` into `hudi-spark-datasource/hudi-spark-common` module to make reuse of these classes. And the `hudi` format under `spark-datasource/hudi-spark` module before is moved to `spark-datasource/hudi-spark-common` to reuse `DefaultSource` code. And I introduce `hudi` format which located in both `hudi-spark-datasource/hudi-spark2` and `hudi-spark-datasource/hudi-spark3` which means no matter which spark version users use, they use still use `hudi` format. since the `hudi-spark-datasource/hudi-spark` module depends on `hudi-spark-datasource/hudi-spark2` or `hudi-spark-datasource/hudi-spark3` module.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r777314413
##########
File path: .github/workflows/bot.yml
##########
@@ -20,14 +20,6 @@ jobs:
spark: "spark2"
- scala: "scala-2.11"
spark: "spark2,spark-shade-unbundle-avro"
- - scala: "scala-2.12"
Review comment:
sounds good.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000250274
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Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r774396525
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/MergeOnReadSnapshotRelation.scala
##########
@@ -151,9 +151,8 @@ class MergeOnReadSnapshotRelation(val sqlContext: SQLContext,
// Load files from the global paths if it has defined to be compatible with the original mode
val inMemoryFileIndex = HoodieSparkUtils.createInMemoryFileIndex(sqlContext.sparkSession, globPaths.get)
val fsView = new HoodieTableFileSystemView(metaClient,
- // file-slice after pending compaction-requested instant-time is also considered valid
- metaClient.getCommitsAndCompactionTimeline.filterCompletedAndCompactionInstants,
- inMemoryFileIndex.allFiles().toArray)
+ metaClient.getActiveTimeline.getCommitsTimeline
Review comment:
Indeed I do not change it, but just move it from spark-datasource/hudi-spark module to spark-datasource/hudi-spark-common module, so strange and changed.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000306233
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000361588
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1005564970
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[GitHub] [hudi] boneanxs commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
boneanxs commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r780880750
##########
File path: hudi-client/hudi-spark-client/src/main/scala/org/apache/spark/sql/hudi/SparkAdapter.scala
##########
@@ -92,4 +95,31 @@ trait SparkAdapter extends Serializable {
* ParserInterface#parseMultipartIdentifier is supported since spark3, for spark2 this should not be called.
*/
def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String]
+
+ def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
Review comment:
Is there any difference with **hoodieSqlCommonUtils.isHoodieTable**? I see sometimes we use **adapter.isHoodieTable**, sometimes use **hoodieSqlCommonUtils.isHoodieTable**
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1005564970
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003687074
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] boneanxs commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
boneanxs commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r784737319
##########
File path: hudi-client/hudi-spark-client/src/main/scala/org/apache/spark/sql/hudi/SparkAdapter.scala
##########
@@ -92,4 +95,31 @@ trait SparkAdapter extends Serializable {
* ParserInterface#parseMultipartIdentifier is supported since spark3, for spark2 this should not be called.
*/
def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String]
+
+ def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
Review comment:
Thanks for your reply, and please correct me if I'm wrong. Can we just move the method implementation out from SparkAdapter to Spark2Adapter, Spark2Adapter can judge if a table is a hoodie table in v1 codebase, while Spark3Adapter can judge it by v2 codebase, by this, I think the method **hoodieSqlCommonUtils.isHoodieTable** can be simply removed?
Looking forward this PR can be merged as soon as possible, this is an excellent work as we can support many other features with DSV2 based on this. :)
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000193558
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000306233
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001198067
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001317161
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001210539
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-998665600
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001192608
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r774522685
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/HoodieSqlCommonUtils.scala
##########
@@ -0,0 +1,318 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi
+
+import scala.collection.JavaConverters._
+import java.net.URI
+import java.util.{Date, Locale, Properties}
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.hudi.{AvroConversionUtils, SparkAdapterSupport}
+import org.apache.hudi.client.common.HoodieSparkEngineContext
+import org.apache.hudi.common.config.DFSPropertiesConfiguration
+import org.apache.hudi.common.config.HoodieMetadataConfig
+import org.apache.hudi.common.fs.FSUtils
+import org.apache.hudi.common.model.HoodieRecord
+import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver}
+import org.apache.hudi.common.table.timeline.{HoodieActiveTimeline, HoodieInstantTimeGenerator}
+import org.apache.spark.SPARK_VERSION
+import org.apache.spark.sql.{Column, DataFrame, SparkSession}
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType}
+import org.apache.spark.sql.catalyst.expressions.{And, Attribute, Cast, Expression, Literal}
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, SubqueryAlias}
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
+import org.apache.spark.api.java.JavaSparkContext
+import org.apache.spark.sql.types.{DataType, NullType, StringType, StructField, StructType}
+
+import java.text.SimpleDateFormat
+
+import scala.collection.immutable.Map
+
+object HoodieSqlCommonUtils extends SparkAdapterSupport {
+ // NOTE: {@code SimpleDataFormat} is NOT thread-safe
+ // TODO replace w/ DateTimeFormatter
+ private val defaultDateFormat =
+ ThreadLocal.withInitial(new java.util.function.Supplier[SimpleDateFormat] {
+ override def get() = new SimpleDateFormat("yyyy-MM-dd")
+ })
+
+ def isHoodieTable(table: CatalogTable): Boolean = {
+ table.provider.map(_.toLowerCase(Locale.ROOT)).orNull == "hudi"
+ }
+
+ def isHoodieTable(tableId: TableIdentifier, spark: SparkSession): Boolean = {
+ val table = spark.sessionState.catalog.getTableMetadata(tableId)
+ isHoodieTable(table)
+ }
+
+ def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
+ tripAlias(table) match {
+ case LogicalRelation(_, _, Some(tbl), _) => isHoodieTable(tbl)
+ case relation: UnresolvedRelation =>
+ isHoodieTable(sparkAdapter.toTableIdentify(relation), spark)
+ case _=> false
+ }
+ }
+
+ def getTableIdentify(table: LogicalPlan): TableIdentifier = {
+ table match {
+ case SubqueryAlias(name, _) => sparkAdapter.toTableIdentify(name)
+ case _ => throw new IllegalArgumentException(s"Illegal table: $table")
+ }
+ }
+
+ def getTableSqlSchema(metaClient: HoodieTableMetaClient,
+ includeMetadataFields: Boolean = false): Option[StructType] = {
+ val schemaResolver = new TableSchemaResolver(metaClient)
+ val avroSchema = try Some(schemaResolver.getTableAvroSchema(includeMetadataFields))
+ catch {
+ case _: Throwable => None
+ }
+ avroSchema.map(AvroConversionUtils.convertAvroSchemaToStructType)
+ }
+
+ def getAllPartitionPaths(spark: SparkSession, table: CatalogTable): Seq[String] = {
+ val sparkEngine = new HoodieSparkEngineContext(new JavaSparkContext(spark.sparkContext))
+ val metadataConfig = {
+ val properties = new Properties()
+ properties.putAll((spark.sessionState.conf.getAllConfs ++ table.storage.properties ++ table.properties).asJava)
+ HoodieMetadataConfig.newBuilder.fromProperties(properties).build()
+ }
+ FSUtils.getAllPartitionPaths(sparkEngine, metadataConfig, getTableLocation(table, spark)).asScala
+ }
+
+ /**
+ * This method is used to compatible with the old non-hive-styled partition table.
+ * By default we enable the "hoodie.datasource.write.hive_style_partitioning"
+ * when writing data to hudi table by spark sql by default.
+ * If the exist table is a non-hive-styled partitioned table, we should
+ * disable the "hoodie.datasource.write.hive_style_partitioning" when
+ * merge or update the table. Or else, we will get an incorrect merge result
+ * as the partition path mismatch.
+ */
+ def isHiveStyledPartitioning(partitionPaths: Seq[String], table: CatalogTable): Boolean = {
+ if (table.partitionColumnNames.nonEmpty) {
+ val isHiveStylePartitionPath = (path: String) => {
+ val fragments = path.split("/")
+ if (fragments.size != table.partitionColumnNames.size) {
+ false
+ } else {
+ fragments.zip(table.partitionColumnNames).forall {
+ case (pathFragment, partitionColumn) => pathFragment.startsWith(s"$partitionColumn=")
+ }
+ }
+ }
+ partitionPaths.forall(isHiveStylePartitionPath)
+ } else {
+ true
+ }
+ }
+
+ /**
+ * Determine whether URL encoding is enabled
+ */
+ def isUrlEncodeEnabled(partitionPaths: Seq[String], table: CatalogTable): Boolean = {
+ if (table.partitionColumnNames.nonEmpty) {
+ partitionPaths.forall(partitionPath => partitionPath.split("/").length == table.partitionColumnNames.size)
+ } else {
+ false
+ }
+ }
+
+ private def tripAlias(plan: LogicalPlan): LogicalPlan = {
+ plan match {
+ case SubqueryAlias(_, relation: LogicalPlan) =>
+ tripAlias(relation)
+ case other =>
+ other
+ }
+ }
+
+ /**
+ * Add the hoodie meta fields to the schema.
+ * @param schema
+ * @return
+ */
+ def addMetaFields(schema: StructType): StructType = {
+ val metaFields = HoodieRecord.HOODIE_META_COLUMNS.asScala
+ // filter the meta field to avoid duplicate field.
+ val dataFields = schema.fields.filterNot(f => metaFields.contains(f.name))
+ val fields = metaFields.map(StructField(_, StringType)) ++ dataFields
+ StructType(fields)
+ }
+
+ private lazy val metaFields = HoodieRecord.HOODIE_META_COLUMNS.asScala.toSet
+
+ /**
+ * Remove the meta fields from the schema.
+ * @param schema
+ * @return
+ */
+ def removeMetaFields(schema: StructType): StructType = {
+ StructType(schema.fields.filterNot(f => isMetaField(f.name)))
+ }
+
+ def isMetaField(name: String): Boolean = {
+ metaFields.contains(name)
+ }
+
+ def removeMetaFields(df: DataFrame): DataFrame = {
+ val withoutMetaColumns = df.logicalPlan.output
+ .filterNot(attr => isMetaField(attr.name))
+ .map(new Column(_))
+ if (withoutMetaColumns.length != df.logicalPlan.output.size) {
+ df.select(withoutMetaColumns: _*)
+ } else {
+ df
+ }
+ }
+
+ def removeMetaFields(attrs: Seq[Attribute]): Seq[Attribute] = {
+ attrs.filterNot(attr => isMetaField(attr.name))
+ }
+
+ /**
+ * Get the table location.
+ * @param tableId
+ * @param spark
+ * @return
+ */
+ def getTableLocation(tableId: TableIdentifier, spark: SparkSession): String = {
+ val table = spark.sessionState.catalog.getTableMetadata(tableId)
+ getTableLocation(table, spark)
+ }
+
+ def getTableLocation(table: CatalogTable, sparkSession: SparkSession): String = {
+ val uri = if (table.tableType == CatalogTableType.MANAGED && isHoodieTable(table)) {
+ Some(sparkSession.sessionState.catalog.defaultTablePath(table.identifier))
+ } else {
+ table.storage.locationUri
+ }
+ val conf = sparkSession.sessionState.newHadoopConf()
+ uri.map(makePathQualified(_, conf))
+ .map(removePlaceHolder)
+ .getOrElse(throw new IllegalArgumentException(s"Missing location for ${table.identifier}"))
+ }
+
+ private def removePlaceHolder(path: String): String = {
+ if (path == null || path.length == 0) {
+ path
+ } else if (path.endsWith("-__PLACEHOLDER__")) {
+ path.substring(0, path.length() - 16)
+ } else {
+ path
+ }
+ }
+
+ def makePathQualified(path: URI, hadoopConf: Configuration): String = {
+ val hadoopPath = new Path(path)
+ val fs = hadoopPath.getFileSystem(hadoopConf)
+ fs.makeQualified(hadoopPath).toUri.toString
+ }
+
+ /**
+ * Check if the hoodie.properties exists in the table path.
+ */
+ def tableExistsInPath(tablePath: String, conf: Configuration): Boolean = {
+ val basePath = new Path(tablePath)
+ val fs = basePath.getFileSystem(conf)
+ val metaPath = new Path(basePath, HoodieTableMetaClient.METAFOLDER_NAME)
+ fs.exists(metaPath)
+ }
+
+ def castIfNeeded(child: Expression, dataType: DataType, conf: SQLConf): Expression = {
+ child match {
+ case Literal(nul, NullType) => Literal(nul, dataType)
+ case _ => if (child.dataType != dataType)
+ Cast(child, dataType, Option(conf.sessionLocalTimeZone)) else child
+ }
+ }
+
+ /**
+ * Split the expression to a sub expression seq by the AND operation.
+ * @param expression
+ * @return
+ */
+ def splitByAnd(expression: Expression): Seq[Expression] = {
+ expression match {
+ case And(left, right) =>
+ splitByAnd(left) ++ splitByAnd(right)
+ case exp => Seq(exp)
+ }
+ }
+
+ /**
+ * Append the spark config and table options to the baseConfig.
+ */
+ def withSparkConf(spark: SparkSession, options: Map[String, String])
+ (baseConfig: Map[String, String] = Map.empty): Map[String, String] = {
+ baseConfig ++ DFSPropertiesConfiguration.getGlobalProps.asScala ++ // Table options has the highest priority
+ (spark.sessionState.conf.getAllConfs ++ HoodieOptionConfig.mappingSqlOptionToHoodieParam(options))
+ .filterKeys(_.startsWith("hoodie."))
+ }
+
+ def isSpark3: Boolean = SPARK_VERSION.startsWith("3.")
+
+ def isEnableHive(sparkSession: SparkSession): Boolean =
Review comment:
Let's just keep it same before?
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003711414
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003737438
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* 898203e4058edfa59856d5a20888a47825bc5deb Azure: [PENDING](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4862)
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000147995
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999624804
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r776913031
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/StageHoodieTable.scala
##########
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions.RECORDKEY_FIELD
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.connector.catalog.{Identifier, StagedTable, SupportsWrite, TableCapability}
+import org.apache.spark.sql.connector.expressions.Transform
+import org.apache.spark.sql.connector.write.{LogicalWriteInfo, V1WriteBuilder, WriteBuilder}
+import org.apache.spark.sql.sources.InsertableRelation
+import org.apache.spark.sql.types.StructType
+
+import java.util
+import scala.collection.JavaConverters.{mapAsScalaMapConverter, setAsJavaSetConverter}
+
+case class StageHoodieTable(ident: Identifier,
+ catalog: HoodieCatalog,
+ override val schema: StructType,
+ partitions: Array[Transform],
+ override val properties: util.Map[String, String],
+ modes: TableCreationModes) extends StagedTable with SupportsWrite {
Review comment:
the BaseStagedTable has Table parameter and would not pass from HoodieStageTable, so do not extend BaseStagedTable
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003725735
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003721955
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* 7a49e173c3f958918b8dbacbdf96cbf465a78b08 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4858)
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r783024554
##########
File path: hudi-client/hudi-spark-client/src/main/scala/org/apache/spark/sql/hudi/SparkAdapter.scala
##########
@@ -92,4 +95,31 @@ trait SparkAdapter extends Serializable {
* ParserInterface#parseMultipartIdentifier is supported since spark3, for spark2 this should not be called.
*/
def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String]
+
+ def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
Review comment:
> Is there any difference with **hoodieSqlCommonUtils.isHoodieTable**? I see sometimes we use **adapter.isHoodieTable**, sometimes use **hoodieSqlCommonUtils.isHoodieTable**
in fact **hoodieSqlCommonUtils.isHoodieTable** method is used in v1 codebase to judge if a table is a hoodie table in v1 codebase , but **adapter.isHoodieTable** method is to judge if a table is a hoodie table in v2 codebase, change the name would be better to understand.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] xushiyan commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
xushiyan commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r777161772
##########
File path: .github/workflows/bot.yml
##########
@@ -20,14 +20,6 @@ jobs:
spark: "spark2"
- scala: "scala-2.11"
spark: "spark2,spark-shade-unbundle-avro"
- - scala: "scala-2.12"
Review comment:
@leesf We introduce build profiles `spark3.0.x` and `spark3.1.x` mostly due to spark's own incompatibilities. Here I think we can make some rules: to enable v2 writer, users have to make sure they're on spark 3.2+. Sounds good? In future, we may gradually drop support for old spark versions if the old spark code deviates too far from the latest one.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003748237
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003711823
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003748237
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000374092
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[GitHub] [hudi] xushiyan commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
xushiyan commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r774380361
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/MergeOnReadSnapshotRelation.scala
##########
@@ -151,9 +151,8 @@ class MergeOnReadSnapshotRelation(val sqlContext: SQLContext,
// Load files from the global paths if it has defined to be compatible with the original mode
val inMemoryFileIndex = HoodieSparkUtils.createInMemoryFileIndex(sqlContext.sparkSession, globPaths.get)
val fsView = new HoodieTableFileSystemView(metaClient,
- // file-slice after pending compaction-requested instant-time is also considered valid
- metaClient.getCommitsAndCompactionTimeline.filterCompletedAndCompactionInstants,
- inMemoryFileIndex.allFiles().toArray)
+ metaClient.getActiveTimeline.getCommitsTimeline
Review comment:
For MOR table `metaClient.getCommitsAndCompactionTimeline` means `getActiveTimeline().getWriteTimeline()`. Why we need to change this?
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/HoodieSqlCommonUtils.scala
##########
@@ -0,0 +1,318 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi
+
+import scala.collection.JavaConverters._
+import java.net.URI
+import java.util.{Date, Locale, Properties}
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.hudi.{AvroConversionUtils, SparkAdapterSupport}
+import org.apache.hudi.client.common.HoodieSparkEngineContext
+import org.apache.hudi.common.config.DFSPropertiesConfiguration
+import org.apache.hudi.common.config.HoodieMetadataConfig
+import org.apache.hudi.common.fs.FSUtils
+import org.apache.hudi.common.model.HoodieRecord
+import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver}
+import org.apache.hudi.common.table.timeline.{HoodieActiveTimeline, HoodieInstantTimeGenerator}
+import org.apache.spark.SPARK_VERSION
+import org.apache.spark.sql.{Column, DataFrame, SparkSession}
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType}
+import org.apache.spark.sql.catalyst.expressions.{And, Attribute, Cast, Expression, Literal}
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, SubqueryAlias}
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
+import org.apache.spark.api.java.JavaSparkContext
+import org.apache.spark.sql.types.{DataType, NullType, StringType, StructField, StructType}
+
+import java.text.SimpleDateFormat
+
+import scala.collection.immutable.Map
+
+object HoodieSqlCommonUtils extends SparkAdapterSupport {
+ // NOTE: {@code SimpleDataFormat} is NOT thread-safe
+ // TODO replace w/ DateTimeFormatter
+ private val defaultDateFormat =
+ ThreadLocal.withInitial(new java.util.function.Supplier[SimpleDateFormat] {
+ override def get() = new SimpleDateFormat("yyyy-MM-dd")
Review comment:
can we favor java.time classes over java Date? due to thread-safety from the former
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/HoodieSqlCommonUtils.scala
##########
@@ -0,0 +1,318 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi
+
+import scala.collection.JavaConverters._
+import java.net.URI
+import java.util.{Date, Locale, Properties}
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.hudi.{AvroConversionUtils, SparkAdapterSupport}
+import org.apache.hudi.client.common.HoodieSparkEngineContext
+import org.apache.hudi.common.config.DFSPropertiesConfiguration
+import org.apache.hudi.common.config.HoodieMetadataConfig
+import org.apache.hudi.common.fs.FSUtils
+import org.apache.hudi.common.model.HoodieRecord
+import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver}
+import org.apache.hudi.common.table.timeline.{HoodieActiveTimeline, HoodieInstantTimeGenerator}
+import org.apache.spark.SPARK_VERSION
+import org.apache.spark.sql.{Column, DataFrame, SparkSession}
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType}
+import org.apache.spark.sql.catalyst.expressions.{And, Attribute, Cast, Expression, Literal}
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, SubqueryAlias}
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
+import org.apache.spark.api.java.JavaSparkContext
+import org.apache.spark.sql.types.{DataType, NullType, StringType, StructField, StructType}
+
+import java.text.SimpleDateFormat
+
+import scala.collection.immutable.Map
+
+object HoodieSqlCommonUtils extends SparkAdapterSupport {
+ // NOTE: {@code SimpleDataFormat} is NOT thread-safe
+ // TODO replace w/ DateTimeFormatter
+ private val defaultDateFormat =
+ ThreadLocal.withInitial(new java.util.function.Supplier[SimpleDateFormat] {
+ override def get() = new SimpleDateFormat("yyyy-MM-dd")
+ })
+
+ def isHoodieTable(table: CatalogTable): Boolean = {
+ table.provider.map(_.toLowerCase(Locale.ROOT)).orNull == "hudi"
+ }
+
+ def isHoodieTable(tableId: TableIdentifier, spark: SparkSession): Boolean = {
+ val table = spark.sessionState.catalog.getTableMetadata(tableId)
+ isHoodieTable(table)
+ }
+
+ def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
+ tripAlias(table) match {
+ case LogicalRelation(_, _, Some(tbl), _) => isHoodieTable(tbl)
+ case relation: UnresolvedRelation =>
+ isHoodieTable(sparkAdapter.toTableIdentify(relation), spark)
+ case _=> false
+ }
+ }
+
+ def getTableIdentify(table: LogicalPlan): TableIdentifier = {
+ table match {
+ case SubqueryAlias(name, _) => sparkAdapter.toTableIdentify(name)
+ case _ => throw new IllegalArgumentException(s"Illegal table: $table")
+ }
+ }
+
+ def getTableSqlSchema(metaClient: HoodieTableMetaClient,
+ includeMetadataFields: Boolean = false): Option[StructType] = {
+ val schemaResolver = new TableSchemaResolver(metaClient)
+ val avroSchema = try Some(schemaResolver.getTableAvroSchema(includeMetadataFields))
+ catch {
+ case _: Throwable => None
+ }
+ avroSchema.map(AvroConversionUtils.convertAvroSchemaToStructType)
+ }
+
+ def getAllPartitionPaths(spark: SparkSession, table: CatalogTable): Seq[String] = {
+ val sparkEngine = new HoodieSparkEngineContext(new JavaSparkContext(spark.sparkContext))
+ val metadataConfig = {
+ val properties = new Properties()
+ properties.putAll((spark.sessionState.conf.getAllConfs ++ table.storage.properties ++ table.properties).asJava)
+ HoodieMetadataConfig.newBuilder.fromProperties(properties).build()
+ }
+ FSUtils.getAllPartitionPaths(sparkEngine, metadataConfig, getTableLocation(table, spark)).asScala
+ }
+
+ /**
+ * This method is used to compatible with the old non-hive-styled partition table.
+ * By default we enable the "hoodie.datasource.write.hive_style_partitioning"
+ * when writing data to hudi table by spark sql by default.
+ * If the exist table is a non-hive-styled partitioned table, we should
+ * disable the "hoodie.datasource.write.hive_style_partitioning" when
+ * merge or update the table. Or else, we will get an incorrect merge result
+ * as the partition path mismatch.
+ */
+ def isHiveStyledPartitioning(partitionPaths: Seq[String], table: CatalogTable): Boolean = {
+ if (table.partitionColumnNames.nonEmpty) {
+ val isHiveStylePartitionPath = (path: String) => {
+ val fragments = path.split("/")
+ if (fragments.size != table.partitionColumnNames.size) {
+ false
+ } else {
+ fragments.zip(table.partitionColumnNames).forall {
+ case (pathFragment, partitionColumn) => pathFragment.startsWith(s"$partitionColumn=")
+ }
+ }
+ }
+ partitionPaths.forall(isHiveStylePartitionPath)
+ } else {
+ true
+ }
+ }
+
+ /**
+ * Determine whether URL encoding is enabled
+ */
+ def isUrlEncodeEnabled(partitionPaths: Seq[String], table: CatalogTable): Boolean = {
+ if (table.partitionColumnNames.nonEmpty) {
+ partitionPaths.forall(partitionPath => partitionPath.split("/").length == table.partitionColumnNames.size)
+ } else {
+ false
+ }
+ }
+
+ private def tripAlias(plan: LogicalPlan): LogicalPlan = {
+ plan match {
+ case SubqueryAlias(_, relation: LogicalPlan) =>
+ tripAlias(relation)
+ case other =>
+ other
+ }
+ }
+
+ /**
+ * Add the hoodie meta fields to the schema.
+ * @param schema
+ * @return
+ */
+ def addMetaFields(schema: StructType): StructType = {
+ val metaFields = HoodieRecord.HOODIE_META_COLUMNS.asScala
+ // filter the meta field to avoid duplicate field.
+ val dataFields = schema.fields.filterNot(f => metaFields.contains(f.name))
+ val fields = metaFields.map(StructField(_, StringType)) ++ dataFields
+ StructType(fields)
+ }
+
+ private lazy val metaFields = HoodieRecord.HOODIE_META_COLUMNS.asScala.toSet
+
+ /**
+ * Remove the meta fields from the schema.
+ * @param schema
+ * @return
+ */
+ def removeMetaFields(schema: StructType): StructType = {
+ StructType(schema.fields.filterNot(f => isMetaField(f.name)))
+ }
+
+ def isMetaField(name: String): Boolean = {
+ metaFields.contains(name)
+ }
+
+ def removeMetaFields(df: DataFrame): DataFrame = {
+ val withoutMetaColumns = df.logicalPlan.output
+ .filterNot(attr => isMetaField(attr.name))
+ .map(new Column(_))
+ if (withoutMetaColumns.length != df.logicalPlan.output.size) {
+ df.select(withoutMetaColumns: _*)
+ } else {
+ df
+ }
+ }
+
+ def removeMetaFields(attrs: Seq[Attribute]): Seq[Attribute] = {
+ attrs.filterNot(attr => isMetaField(attr.name))
+ }
+
+ /**
+ * Get the table location.
+ * @param tableId
+ * @param spark
+ * @return
+ */
+ def getTableLocation(tableId: TableIdentifier, spark: SparkSession): String = {
+ val table = spark.sessionState.catalog.getTableMetadata(tableId)
+ getTableLocation(table, spark)
+ }
+
+ def getTableLocation(table: CatalogTable, sparkSession: SparkSession): String = {
+ val uri = if (table.tableType == CatalogTableType.MANAGED && isHoodieTable(table)) {
+ Some(sparkSession.sessionState.catalog.defaultTablePath(table.identifier))
+ } else {
+ table.storage.locationUri
+ }
+ val conf = sparkSession.sessionState.newHadoopConf()
+ uri.map(makePathQualified(_, conf))
+ .map(removePlaceHolder)
+ .getOrElse(throw new IllegalArgumentException(s"Missing location for ${table.identifier}"))
+ }
+
+ private def removePlaceHolder(path: String): String = {
+ if (path == null || path.length == 0) {
+ path
+ } else if (path.endsWith("-__PLACEHOLDER__")) {
+ path.substring(0, path.length() - 16)
+ } else {
+ path
+ }
+ }
+
+ def makePathQualified(path: URI, hadoopConf: Configuration): String = {
+ val hadoopPath = new Path(path)
+ val fs = hadoopPath.getFileSystem(hadoopConf)
+ fs.makeQualified(hadoopPath).toUri.toString
+ }
+
+ /**
+ * Check if the hoodie.properties exists in the table path.
+ */
+ def tableExistsInPath(tablePath: String, conf: Configuration): Boolean = {
+ val basePath = new Path(tablePath)
+ val fs = basePath.getFileSystem(conf)
+ val metaPath = new Path(basePath, HoodieTableMetaClient.METAFOLDER_NAME)
+ fs.exists(metaPath)
+ }
+
+ def castIfNeeded(child: Expression, dataType: DataType, conf: SQLConf): Expression = {
+ child match {
+ case Literal(nul, NullType) => Literal(nul, dataType)
+ case _ => if (child.dataType != dataType)
+ Cast(child, dataType, Option(conf.sessionLocalTimeZone)) else child
+ }
+ }
+
+ /**
+ * Split the expression to a sub expression seq by the AND operation.
+ * @param expression
+ * @return
+ */
+ def splitByAnd(expression: Expression): Seq[Expression] = {
+ expression match {
+ case And(left, right) =>
+ splitByAnd(left) ++ splitByAnd(right)
+ case exp => Seq(exp)
+ }
+ }
+
+ /**
+ * Append the spark config and table options to the baseConfig.
+ */
+ def withSparkConf(spark: SparkSession, options: Map[String, String])
+ (baseConfig: Map[String, String] = Map.empty): Map[String, String] = {
+ baseConfig ++ DFSPropertiesConfiguration.getGlobalProps.asScala ++ // Table options has the highest priority
+ (spark.sessionState.conf.getAllConfs ++ HoodieOptionConfig.mappingSqlOptionToHoodieParam(options))
+ .filterKeys(_.startsWith("hoodie."))
+ }
+
+ def isSpark3: Boolean = SPARK_VERSION.startsWith("3.")
+
+ def isEnableHive(sparkSession: SparkSession): Boolean =
Review comment:
```suggestion
def usesHiveCatalog(sparkSession: SparkSession): Boolean =
```
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] xushiyan commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
xushiyan commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r776655355
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/HoodieInternalTableV2.scala
##########
@@ -0,0 +1,120 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient}
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.catalog.{CatalogTable, HoodieCatalogTable}
+import org.apache.spark.sql.connector.catalog.TableCapability._
+import org.apache.spark.sql.connector.catalog.{SupportsWrite, Table, TableCapability, V2TableWithV1Fallback}
+import org.apache.spark.sql.connector.expressions.{FieldReference, IdentityTransform, Transform}
+import org.apache.spark.sql.connector.write._
+import org.apache.spark.sql.sources.{Filter, InsertableRelation}
+import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}
+
+import java.util
+import scala.collection.JavaConverters.setAsJavaSetConverter
+
+case class HoodieInternalTableV2(spark: SparkSession,
Review comment:
should standardise the name having V2 before Table; V2 suffix may imply the 2nd version of implementation
```suggestion
case class HoodieInternalV2Table(spark: SparkSession,
```
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/StageHoodieTable.scala
##########
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions.RECORDKEY_FIELD
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.connector.catalog.{Identifier, StagedTable, SupportsWrite, TableCapability}
+import org.apache.spark.sql.connector.expressions.Transform
+import org.apache.spark.sql.connector.write.{LogicalWriteInfo, V1WriteBuilder, WriteBuilder}
+import org.apache.spark.sql.sources.InsertableRelation
+import org.apache.spark.sql.types.StructType
+
+import java.util
+import scala.collection.JavaConverters.{mapAsScalaMapConverter, setAsJavaSetConverter}
+
+case class StageHoodieTable(ident: Identifier,
Review comment:
```suggestion
case class HoodieStagedTable(ident: Identifier,
```
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/TableCreationModes.java
##########
@@ -0,0 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog;
+
+public enum TableCreationModes {
Review comment:
```suggestion
public enum TableCreationMode {
```
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/TableCreationModes.java
##########
@@ -0,0 +1,23 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog;
+
+public enum TableCreationModes {
+ Create, CreateOrReplace, Replace, StageCreate, StageReplace
Review comment:
shouldn't these be ALL_CAPS?
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/adapter/Spark3Adapter.scala
##########
@@ -93,4 +95,14 @@ class Spark3Adapter extends SparkAdapter {
override def parseMultipartIdentifier(parser: ParserInterface, sqlText: String): Seq[String] = {
parser.parseMultipartIdentifier(sqlText)
}
+
+ override def isHoodieTable(table: LogicalPlan, spark: SparkSession): Boolean = {
+ tripAlias(table) match {
+ case LogicalRelation(_, _, Some(tbl), _) => isHoodieTable(tbl)
+ case relation: UnresolvedRelation =>
+ isHoodieTable(toTableIdentify(relation), spark)
Review comment:
```suggestion
isHoodieTable(toTableIdentifier(relation), spark)
```
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/StageHoodieTable.scala
##########
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions.RECORDKEY_FIELD
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.connector.catalog.{Identifier, StagedTable, SupportsWrite, TableCapability}
+import org.apache.spark.sql.connector.expressions.Transform
+import org.apache.spark.sql.connector.write.{LogicalWriteInfo, V1WriteBuilder, WriteBuilder}
+import org.apache.spark.sql.sources.InsertableRelation
+import org.apache.spark.sql.types.StructType
+
+import java.util
+import scala.collection.JavaConverters.{mapAsScalaMapConverter, setAsJavaSetConverter}
+
+case class StageHoodieTable(ident: Identifier,
+ catalog: HoodieCatalog,
+ override val schema: StructType,
+ partitions: Array[Transform],
+ override val properties: util.Map[String, String],
+ modes: TableCreationModes) extends StagedTable with SupportsWrite {
Review comment:
```suggestion
mode: TableCreationMode) extends StagedTable with SupportsWrite {
```
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/HoodieConfigBuilder.scala
##########
@@ -0,0 +1,184 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions
+import org.apache.hudi.DataSourceWriteOptions._
+import org.apache.hudi.common.model.DefaultHoodieRecordPayload
+import org.apache.hudi.config.HoodieWriteConfig
+import org.apache.hudi.config.HoodieWriteConfig.TBL_NAME
+import org.apache.hudi.hive.MultiPartKeysValueExtractor
+import org.apache.hudi.hive.ddl.HiveSyncMode
+import org.apache.hudi.keygen.ComplexKeyGenerator
+import org.apache.hudi.sql.InsertMode
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.catalog.HoodieCatalogTable
+import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.hudi.HoodieSqlCommonUtils.{castIfNeeded, isEnableHive, withSparkConf}
+import org.apache.spark.sql.hudi.command.{SqlKeyGenerator, ValidateDuplicateKeyPayload}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types.StructField
+
+import scala.collection.JavaConverters.propertiesAsScalaMapConverter
+
+trait HoodieConfigBuilder {
Review comment:
The implementation does not look like using a builder pattern but name implies builder APIs. Maybe `HoodieConfigHelper` sounds more precise to what it does?
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/HoodieConfigBuilder.scala
##########
@@ -0,0 +1,184 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions
+import org.apache.hudi.DataSourceWriteOptions._
+import org.apache.hudi.common.model.DefaultHoodieRecordPayload
+import org.apache.hudi.config.HoodieWriteConfig
+import org.apache.hudi.config.HoodieWriteConfig.TBL_NAME
+import org.apache.hudi.hive.MultiPartKeysValueExtractor
+import org.apache.hudi.hive.ddl.HiveSyncMode
+import org.apache.hudi.keygen.ComplexKeyGenerator
+import org.apache.hudi.sql.InsertMode
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.catalog.HoodieCatalogTable
+import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.hudi.HoodieSqlCommonUtils.{castIfNeeded, isEnableHive, withSparkConf}
+import org.apache.spark.sql.hudi.command.{SqlKeyGenerator, ValidateDuplicateKeyPayload}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types.StructField
+
+import scala.collection.JavaConverters.propertiesAsScalaMapConverter
+
+trait HoodieConfigBuilder {
+
+ def buildHoodieConfig(hoodieCatalogTable: HoodieCatalogTable): Map[String, String] = {
+ val sparkSession: SparkSession = hoodieCatalogTable.spark
+ val catalogProperties = hoodieCatalogTable.catalogProperties
+ val tableConfig = hoodieCatalogTable.tableConfig
+ val tableId = hoodieCatalogTable.table.identifier
+
+ val preCombineColumn = Option(tableConfig.getPreCombineField).getOrElse("")
+ assert(hoodieCatalogTable.primaryKeys.nonEmpty,
+ s"There are no primary key in table ${hoodieCatalogTable.table.identifier}, cannot execute update operator")
+ val enableHive = isEnableHive(sparkSession)
+
+ withSparkConf(sparkSession, catalogProperties) {
+ Map(
+ "path" -> hoodieCatalogTable.tableLocation,
+ RECORDKEY_FIELD.key -> hoodieCatalogTable.primaryKeys.mkString(","),
+ PRECOMBINE_FIELD.key -> preCombineColumn,
+ TBL_NAME.key -> hoodieCatalogTable.tableName,
+ HIVE_STYLE_PARTITIONING.key -> tableConfig.getHiveStylePartitioningEnable,
+ URL_ENCODE_PARTITIONING.key -> tableConfig.getUrlEncodePartitioning,
+ KEYGENERATOR_CLASS_NAME.key -> classOf[SqlKeyGenerator].getCanonicalName,
+ SqlKeyGenerator.ORIGIN_KEYGEN_CLASS_NAME -> tableConfig.getKeyGeneratorClassName,
+ OPERATION.key -> UPSERT_OPERATION_OPT_VAL,
+ PARTITIONPATH_FIELD.key -> tableConfig.getPartitionFieldProp,
+ META_SYNC_ENABLED.key -> enableHive.toString,
+ HIVE_SYNC_MODE.key -> HiveSyncMode.HMS.name(),
+ HIVE_USE_JDBC.key -> "false",
+ HIVE_DATABASE.key -> tableId.database.getOrElse("default"),
+ HIVE_TABLE.key -> tableId.table,
+ HIVE_PARTITION_FIELDS.key -> tableConfig.getPartitionFieldProp,
+ HIVE_PARTITION_EXTRACTOR_CLASS.key -> classOf[MultiPartKeysValueExtractor].getCanonicalName,
+ HIVE_SUPPORT_TIMESTAMP_TYPE.key -> "true",
+ HoodieWriteConfig.UPSERT_PARALLELISM_VALUE.key -> "200",
Review comment:
this hard-coded value is temporary?
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/StageHoodieTable.scala
##########
@@ -0,0 +1,90 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions.RECORDKEY_FIELD
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.connector.catalog.{Identifier, StagedTable, SupportsWrite, TableCapability}
+import org.apache.spark.sql.connector.expressions.Transform
+import org.apache.spark.sql.connector.write.{LogicalWriteInfo, V1WriteBuilder, WriteBuilder}
+import org.apache.spark.sql.sources.InsertableRelation
+import org.apache.spark.sql.types.StructType
+
+import java.util
+import scala.collection.JavaConverters.{mapAsScalaMapConverter, setAsJavaSetConverter}
+
+case class StageHoodieTable(ident: Identifier,
+ catalog: HoodieCatalog,
+ override val schema: StructType,
+ partitions: Array[Transform],
+ override val properties: util.Map[String, String],
+ modes: TableCreationModes) extends StagedTable with SupportsWrite {
Review comment:
shouldn't this extend `BaseStagedTable` ?
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/HoodieConfigBuilder.scala
##########
@@ -0,0 +1,184 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions
+import org.apache.hudi.DataSourceWriteOptions._
+import org.apache.hudi.common.model.DefaultHoodieRecordPayload
+import org.apache.hudi.config.HoodieWriteConfig
+import org.apache.hudi.config.HoodieWriteConfig.TBL_NAME
+import org.apache.hudi.hive.MultiPartKeysValueExtractor
+import org.apache.hudi.hive.ddl.HiveSyncMode
+import org.apache.hudi.keygen.ComplexKeyGenerator
+import org.apache.hudi.sql.InsertMode
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.catalog.HoodieCatalogTable
+import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.hudi.HoodieSqlCommonUtils.{castIfNeeded, isEnableHive, withSparkConf}
+import org.apache.spark.sql.hudi.command.{SqlKeyGenerator, ValidateDuplicateKeyPayload}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types.StructField
+
+import scala.collection.JavaConverters.propertiesAsScalaMapConverter
+
+trait HoodieConfigBuilder {
+
+ def buildHoodieConfig(hoodieCatalogTable: HoodieCatalogTable): Map[String, String] = {
+ val sparkSession: SparkSession = hoodieCatalogTable.spark
+ val catalogProperties = hoodieCatalogTable.catalogProperties
+ val tableConfig = hoodieCatalogTable.tableConfig
+ val tableId = hoodieCatalogTable.table.identifier
+
+ val preCombineColumn = Option(tableConfig.getPreCombineField).getOrElse("")
+ assert(hoodieCatalogTable.primaryKeys.nonEmpty,
+ s"There are no primary key in table ${hoodieCatalogTable.table.identifier}, cannot execute update operator")
+ val enableHive = isEnableHive(sparkSession)
+
+ withSparkConf(sparkSession, catalogProperties) {
+ Map(
+ "path" -> hoodieCatalogTable.tableLocation,
+ RECORDKEY_FIELD.key -> hoodieCatalogTable.primaryKeys.mkString(","),
+ PRECOMBINE_FIELD.key -> preCombineColumn,
+ TBL_NAME.key -> hoodieCatalogTable.tableName,
+ HIVE_STYLE_PARTITIONING.key -> tableConfig.getHiveStylePartitioningEnable,
+ URL_ENCODE_PARTITIONING.key -> tableConfig.getUrlEncodePartitioning,
+ KEYGENERATOR_CLASS_NAME.key -> classOf[SqlKeyGenerator].getCanonicalName,
+ SqlKeyGenerator.ORIGIN_KEYGEN_CLASS_NAME -> tableConfig.getKeyGeneratorClassName,
+ OPERATION.key -> UPSERT_OPERATION_OPT_VAL,
+ PARTITIONPATH_FIELD.key -> tableConfig.getPartitionFieldProp,
+ META_SYNC_ENABLED.key -> enableHive.toString,
+ HIVE_SYNC_MODE.key -> HiveSyncMode.HMS.name(),
+ HIVE_USE_JDBC.key -> "false",
+ HIVE_DATABASE.key -> tableId.database.getOrElse("default"),
+ HIVE_TABLE.key -> tableId.table,
+ HIVE_PARTITION_FIELDS.key -> tableConfig.getPartitionFieldProp,
+ HIVE_PARTITION_EXTRACTOR_CLASS.key -> classOf[MultiPartKeysValueExtractor].getCanonicalName,
+ HIVE_SUPPORT_TIMESTAMP_TYPE.key -> "true",
+ HoodieWriteConfig.UPSERT_PARALLELISM_VALUE.key -> "200",
+ SqlKeyGenerator.PARTITION_SCHEMA -> hoodieCatalogTable.partitionSchema.toDDL
+ )
+ }
+ }
+
+ def cast(exp: Expression, field: StructField, sqlConf: SQLConf): Expression = {
+ castIfNeeded(exp, field.dataType, sqlConf)
+ }
+
+ def buildHoodieInsertConfig(
+ hoodieCatalogTable: HoodieCatalogTable,
+ sparkSession: SparkSession,
+ isOverwrite: Boolean,
+ insertPartitions: Map[String, Option[String]] = Map.empty,
+ extraOptions: Map[String, String]): Map[String, String] = {
+
+ if (insertPartitions.nonEmpty &&
+ (insertPartitions.keys.toSet != hoodieCatalogTable.partitionFields.toSet)) {
+ throw new IllegalArgumentException(s"Insert partition fields" +
+ s"[${insertPartitions.keys.mkString(" ")}]" +
+ s" not equal to the defined partition in table[${hoodieCatalogTable.partitionFields.mkString(",")}]")
+ }
+ val path = hoodieCatalogTable.tableLocation
+ val tableType = hoodieCatalogTable.tableTypeName
+ val tableConfig = hoodieCatalogTable.tableConfig
+
+ val options = hoodieCatalogTable.catalogProperties ++ tableConfig.getProps.asScala.toMap ++ extraOptions
+ val parameters = withSparkConf(sparkSession, options)()
+
+ val preCombineColumn = hoodieCatalogTable.preCombineKey.getOrElse("")
+ val partitionFields = hoodieCatalogTable.partitionFields.mkString(",")
+
+ val hiveStylePartitioningEnable = Option(tableConfig.getHiveStylePartitioningEnable).getOrElse("true")
+ val urlEncodePartitioning = Option(tableConfig.getUrlEncodePartitioning).getOrElse("false")
+ val keyGeneratorClassName = Option(tableConfig.getKeyGeneratorClassName)
+ .getOrElse(classOf[ComplexKeyGenerator].getCanonicalName)
+
+ val enableBulkInsert = parameters.getOrElse(DataSourceWriteOptions.SQL_ENABLE_BULK_INSERT.key,
+ DataSourceWriteOptions.SQL_ENABLE_BULK_INSERT.defaultValue()).toBoolean
+ val dropDuplicate = sparkSession.conf
+ .getOption(INSERT_DROP_DUPS.key).getOrElse(INSERT_DROP_DUPS.defaultValue).toBoolean
+
+ val insertMode = InsertMode.of(parameters.getOrElse(DataSourceWriteOptions.SQL_INSERT_MODE.key,
+ DataSourceWriteOptions.SQL_INSERT_MODE.defaultValue()))
+ val isNonStrictMode = insertMode == InsertMode.NON_STRICT
+ val isPartitionedTable = hoodieCatalogTable.partitionFields.nonEmpty
+ val hasPrecombineColumn = preCombineColumn.nonEmpty
+ val operation =
+ (enableBulkInsert, isOverwrite, dropDuplicate, isNonStrictMode, isPartitionedTable) match {
+ case (true, _, _, false, _) =>
+ throw new IllegalArgumentException(s"Table with primaryKey can not use bulk insert in ${insertMode.value()} mode.")
+ case (true, true, _, _, true) =>
+ throw new IllegalArgumentException(s"Insert Overwrite Partition can not use bulk insert.")
+ case (true, _, true, _, _) =>
+ throw new IllegalArgumentException(s"Bulk insert cannot support drop duplication." +
+ s" Please disable $INSERT_DROP_DUPS and try again.")
+ // if enableBulkInsert is true, use bulk insert for the insert overwrite non-partitioned table.
+ case (true, true, _, _, false) => BULK_INSERT_OPERATION_OPT_VAL
+ // insert overwrite table
+ case (false, true, _, _, false) => INSERT_OVERWRITE_TABLE_OPERATION_OPT_VAL
+ // insert overwrite partition
+ case (_, true, _, _, true) => INSERT_OVERWRITE_OPERATION_OPT_VAL
+ // disable dropDuplicate, and provide preCombineKey, use the upsert operation for strict and upsert mode.
+ case (false, false, false, false, _) if hasPrecombineColumn => UPSERT_OPERATION_OPT_VAL
+ // if table is pk table and has enableBulkInsert use bulk insert for non-strict mode.
+ case (true, _, _, true, _) => BULK_INSERT_OPERATION_OPT_VAL
+ // for the rest case, use the insert operation
+ case _ => INSERT_OPERATION_OPT_VAL
+ }
+
+ val payloadClassName = if (operation == UPSERT_OPERATION_OPT_VAL &&
+ tableType == COW_TABLE_TYPE_OPT_VAL && insertMode == InsertMode.STRICT) {
+ // Only validate duplicate key for COW, for MOR it will do the merge with the DefaultHoodieRecordPayload
+ // on reading.
+ classOf[ValidateDuplicateKeyPayload].getCanonicalName
+ } else {
+ classOf[DefaultHoodieRecordPayload].getCanonicalName
+ }
+
+ val enableHive = isEnableHive(sparkSession)
+ withSparkConf(sparkSession, options) {
+ Map(
+ "path" -> path,
+ TABLE_TYPE.key -> tableType,
+ TBL_NAME.key -> hoodieCatalogTable.tableName,
+ PRECOMBINE_FIELD.key -> preCombineColumn,
+ OPERATION.key -> operation,
+ HIVE_STYLE_PARTITIONING.key -> hiveStylePartitioningEnable,
+ URL_ENCODE_PARTITIONING.key -> urlEncodePartitioning,
+ KEYGENERATOR_CLASS_NAME.key -> classOf[SqlKeyGenerator].getCanonicalName,
+ SqlKeyGenerator.ORIGIN_KEYGEN_CLASS_NAME -> keyGeneratorClassName,
+ RECORDKEY_FIELD.key -> hoodieCatalogTable.primaryKeys.mkString(","),
+ PARTITIONPATH_FIELD.key -> partitionFields,
+ PAYLOAD_CLASS_NAME.key -> payloadClassName,
+ ENABLE_ROW_WRITER.key -> enableBulkInsert.toString,
+ HoodieWriteConfig.COMBINE_BEFORE_INSERT.key -> String.valueOf(hasPrecombineColumn),
+ META_SYNC_ENABLED.key -> enableHive.toString,
+ HIVE_SYNC_MODE.key -> HiveSyncMode.HMS.name(),
+ HIVE_USE_JDBC.key -> "false",
+ HIVE_DATABASE.key -> hoodieCatalogTable.table.identifier.database.getOrElse("default"),
+ HIVE_TABLE.key -> hoodieCatalogTable.table.identifier.table,
+ HIVE_SUPPORT_TIMESTAMP_TYPE.key -> "true",
+ HIVE_PARTITION_FIELDS.key -> partitionFields,
+ HIVE_PARTITION_EXTRACTOR_CLASS.key -> classOf[MultiPartKeysValueExtractor].getCanonicalName,
+ HoodieWriteConfig.INSERT_PARALLELISM_VALUE.key -> "200",
+ HoodieWriteConfig.UPSERT_PARALLELISM_VALUE.key -> "200",
Review comment:
ditto
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003267884
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r776938473
##########
File path: .github/workflows/bot.yml
##########
@@ -20,14 +20,6 @@ jobs:
spark: "spark2"
- scala: "scala-2.11"
spark: "spark2,spark-shade-unbundle-avro"
- - scala: "scala-2.12"
Review comment:
@xushiyan I find it very hard to make it compatible between spark 3.2.0 and spark 3.0.x/spark3.1.x(there is no V1Write for spark 3.0.x and 3.1.x ) after we upgrade spark version to spark 3.2.0, so I commented out the workflow.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003289539
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003907464
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003735996
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-998699014
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003289539
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003403150
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-996506263
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-997979785
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1017225033
closing this as have a new PR #4611
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[GitHub] [hudi] leesf closed pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] vinothchandar commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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you may want to rebase the PR. seems like a lot went in :)
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003245896
> @leesf so this is just preparing the code and moving things around? no functional changes? Will review this more closely
yes, no functional changes.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003737438
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003734752
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## CI report:
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* 27e619665a7c83dfd60a3ec47e8024a30164ec54 UNKNOWN
* 7a49e173c3f958918b8dbacbdf96cbf465a78b08 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4858) Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4860)
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] xushiyan commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
xushiyan commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000116115
@leesf Only half way through.. will continue tmr...could you please also summarize the changes in the description as a high-level intro? easier to digest.. thanks!
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000366547
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999667350
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-999518712
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001138558
> @leesf before looking at the code deeply, Can you please clarify what breaking changes we plan in this approach? Is the current "hudi " source codepath renamed to something else? So existing users need to update "All" their jobs to use the new source?
@vinothchandar There is no breaking changes for the approach, users have no need to change their format. I move some classes from `hudi-spark-datasource/hudi-spark` into `hudi-spark-datasource/hudi-spark-common` module to make reuse of these classes. And the `hudi` format under `spark-datasource/hudi-spark` module before is moved to `spark-datasource/hudi-spark-common` to reuse `DefaultSource` code. And I introduce `hudi` format which located in both `hudi-spark-datasource/hudi-spark2` and `hudi-spark-datasource/hudi-spark3` which means no matter which spark version users use, they use still use `hudi` format. since the `hudi-spark-datasource/hudi-spark` module depends on `hudi-spark-datasource/hudi-spark2` or `hudi-spark-datasource/hudi-spark3` module.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r774398692
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/hudi/HoodieSqlCommonUtils.scala
##########
@@ -0,0 +1,318 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi
+
+import scala.collection.JavaConverters._
+import java.net.URI
+import java.util.{Date, Locale, Properties}
+import org.apache.hadoop.conf.Configuration
+import org.apache.hadoop.fs.Path
+
+import org.apache.hudi.{AvroConversionUtils, SparkAdapterSupport}
+import org.apache.hudi.client.common.HoodieSparkEngineContext
+import org.apache.hudi.common.config.DFSPropertiesConfiguration
+import org.apache.hudi.common.config.HoodieMetadataConfig
+import org.apache.hudi.common.fs.FSUtils
+import org.apache.hudi.common.model.HoodieRecord
+import org.apache.hudi.common.table.{HoodieTableMetaClient, TableSchemaResolver}
+import org.apache.hudi.common.table.timeline.{HoodieActiveTimeline, HoodieInstantTimeGenerator}
+import org.apache.spark.SPARK_VERSION
+import org.apache.spark.sql.{Column, DataFrame, SparkSession}
+import org.apache.spark.sql.catalyst.TableIdentifier
+import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+import org.apache.spark.sql.catalyst.catalog.{CatalogTable, CatalogTableType}
+import org.apache.spark.sql.catalyst.expressions.{And, Attribute, Cast, Expression, Literal}
+import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, SubqueryAlias}
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.internal.{SQLConf, StaticSQLConf}
+import org.apache.spark.api.java.JavaSparkContext
+import org.apache.spark.sql.types.{DataType, NullType, StringType, StructField, StructType}
+
+import java.text.SimpleDateFormat
+
+import scala.collection.immutable.Map
+
+object HoodieSqlCommonUtils extends SparkAdapterSupport {
+ // NOTE: {@code SimpleDataFormat} is NOT thread-safe
+ // TODO replace w/ DateTimeFormatter
+ private val defaultDateFormat =
+ ThreadLocal.withInitial(new java.util.function.Supplier[SimpleDateFormat] {
+ override def get() = new SimpleDateFormat("yyyy-MM-dd")
Review comment:
> can we favor java.time classes over java Date? due to thread-safety from the former
This is moved from HoodieSqlUtils at hudi-spark module before, and moved to HoodieSqlCommonUtils at hudi-spark-common-module, and no change in semantics
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[GitHub] [hudi] leesf removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r774396525
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/MergeOnReadSnapshotRelation.scala
##########
@@ -151,9 +151,8 @@ class MergeOnReadSnapshotRelation(val sqlContext: SQLContext,
// Load files from the global paths if it has defined to be compatible with the original mode
val inMemoryFileIndex = HoodieSparkUtils.createInMemoryFileIndex(sqlContext.sparkSession, globPaths.get)
val fsView = new HoodieTableFileSystemView(metaClient,
- // file-slice after pending compaction-requested instant-time is also considered valid
- metaClient.getCommitsAndCompactionTimeline.filterCompletedAndCompactionInstants,
- inMemoryFileIndex.allFiles().toArray)
+ metaClient.getActiveTimeline.getCommitsTimeline
Review comment:
Indeed I do not change it, but when move it from spark-datasource/hudi-spark module to spark-datasource/hudi-spark-common module, the format changed.
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[GitHub] [hudi] leesf removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf removed a comment on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001138517
>
There is no breaking changes for the approach, users have no need to change their format. I move some classes from `hudi-spark-datasource/hudi-spark` into `hudi-spark-datasource/hudi-spark-common` module to make reuse of these classes. And the `hudi` format under `spark-datasource/hudi-spark` module before is moved to `spark-datasource/hudi-spark-common` to reuse `DefaultSource` code. And I introduce `hudi` format which located in both `hudi-spark-datasource/hudi-spark2` and `hudi-spark-datasource/hudi-spark3` which means no matter which spark version users use, they use still use `hudi` format. since the `hudi-spark-datasource/hudi-spark` module depends on `hudi-spark-datasource/hudi-spark2` or `hudi-spark-datasource/hudi-spark3` module.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000120189
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999514948
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999624804
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003696096
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[GitHub] [hudi] vinothchandar commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
vinothchandar commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1002634398
@leesf so this is just preparing the code and moving things around? no functional changes? Will review this more closely
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003257248
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999513228
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000234937
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001198445
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-996772612
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r774396525
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/MergeOnReadSnapshotRelation.scala
##########
@@ -151,9 +151,8 @@ class MergeOnReadSnapshotRelation(val sqlContext: SQLContext,
// Load files from the global paths if it has defined to be compatible with the original mode
val inMemoryFileIndex = HoodieSparkUtils.createInMemoryFileIndex(sqlContext.sparkSession, globPaths.get)
val fsView = new HoodieTableFileSystemView(metaClient,
- // file-slice after pending compaction-requested instant-time is also considered valid
- metaClient.getCommitsAndCompactionTimeline.filterCompletedAndCompactionInstants,
- inMemoryFileIndex.allFiles().toArray)
+ metaClient.getActiveTimeline.getCommitsTimeline
Review comment:
Indeed I do not intend to change it, but just move it from spark-datasource/hudi-spark module to spark-datasource/hudi-spark-common module, so strange and changed.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot removed a comment on pull request #4350:
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000121674
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1000126209
> @leesf Only half way through.. will continue tmr...could you please also summarize the changes in the description as a high-level intro? easier to digest.. thanks!
I have edited the description to summarize the changes .
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[GitHub] [hudi] leesf commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001299699
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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Posted by GitBox <gi...@apache.org>.
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999537586
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-999984769
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1005535200
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[GitHub] [hudi] vinothchandar commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
vinothchandar commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r779313494
##########
File path: hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/DefaultSource.scala
##########
@@ -177,7 +177,7 @@ class DefaultSource extends RelationProvider
outputMode)
}
- override def shortName(): String = "hudi"
+ override def shortName(): String = "hudi_v1"
Review comment:
this would cause every job out there to be upgraded? Not sure if we can afford to do this. Also would like to clearly understand if the new v2 implementation will support ALL the existing functionality or be a drop-in replacement for the current v1 implementation?
I think its crucial to get aligned on this before we proceed further.
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r776913428
##########
File path: hudi-spark-datasource/hudi-spark3/src/main/scala/org/apache/spark/sql/hudi/catalog/HoodieConfigBuilder.scala
##########
@@ -0,0 +1,184 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.hudi.catalog
+
+import org.apache.hudi.DataSourceWriteOptions
+import org.apache.hudi.DataSourceWriteOptions._
+import org.apache.hudi.common.model.DefaultHoodieRecordPayload
+import org.apache.hudi.config.HoodieWriteConfig
+import org.apache.hudi.config.HoodieWriteConfig.TBL_NAME
+import org.apache.hudi.hive.MultiPartKeysValueExtractor
+import org.apache.hudi.hive.ddl.HiveSyncMode
+import org.apache.hudi.keygen.ComplexKeyGenerator
+import org.apache.hudi.sql.InsertMode
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.catalog.HoodieCatalogTable
+import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.hudi.HoodieSqlCommonUtils.{castIfNeeded, isEnableHive, withSparkConf}
+import org.apache.spark.sql.hudi.command.{SqlKeyGenerator, ValidateDuplicateKeyPayload}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types.StructField
+
+import scala.collection.JavaConverters.propertiesAsScalaMapConverter
+
+trait HoodieConfigBuilder {
+
+ def buildHoodieConfig(hoodieCatalogTable: HoodieCatalogTable): Map[String, String] = {
+ val sparkSession: SparkSession = hoodieCatalogTable.spark
+ val catalogProperties = hoodieCatalogTable.catalogProperties
+ val tableConfig = hoodieCatalogTable.tableConfig
+ val tableId = hoodieCatalogTable.table.identifier
+
+ val preCombineColumn = Option(tableConfig.getPreCombineField).getOrElse("")
+ assert(hoodieCatalogTable.primaryKeys.nonEmpty,
+ s"There are no primary key in table ${hoodieCatalogTable.table.identifier}, cannot execute update operator")
+ val enableHive = isEnableHive(sparkSession)
+
+ withSparkConf(sparkSession, catalogProperties) {
+ Map(
+ "path" -> hoodieCatalogTable.tableLocation,
+ RECORDKEY_FIELD.key -> hoodieCatalogTable.primaryKeys.mkString(","),
+ PRECOMBINE_FIELD.key -> preCombineColumn,
+ TBL_NAME.key -> hoodieCatalogTable.tableName,
+ HIVE_STYLE_PARTITIONING.key -> tableConfig.getHiveStylePartitioningEnable,
+ URL_ENCODE_PARTITIONING.key -> tableConfig.getUrlEncodePartitioning,
+ KEYGENERATOR_CLASS_NAME.key -> classOf[SqlKeyGenerator].getCanonicalName,
+ SqlKeyGenerator.ORIGIN_KEYGEN_CLASS_NAME -> tableConfig.getKeyGeneratorClassName,
+ OPERATION.key -> UPSERT_OPERATION_OPT_VAL,
+ PARTITIONPATH_FIELD.key -> tableConfig.getPartitionFieldProp,
+ META_SYNC_ENABLED.key -> enableHive.toString,
+ HIVE_SYNC_MODE.key -> HiveSyncMode.HMS.name(),
+ HIVE_USE_JDBC.key -> "false",
+ HIVE_DATABASE.key -> tableId.database.getOrElse("default"),
+ HIVE_TABLE.key -> tableId.table,
+ HIVE_PARTITION_FIELDS.key -> tableConfig.getPartitionFieldProp,
+ HIVE_PARTITION_EXTRACTOR_CLASS.key -> classOf[MultiPartKeysValueExtractor].getCanonicalName,
+ HIVE_SUPPORT_TIMESTAMP_TYPE.key -> "true",
+ HoodieWriteConfig.UPSERT_PARALLELISM_VALUE.key -> "200",
Review comment:
I think it should be temporary (just copied the code from MergeIntoHoodieTableCommand)
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003299314
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003419258
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[GitHub] [hudi] hudi-bot commented on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
hudi-bot commented on pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#issuecomment-1003689452
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
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URL: https://github.com/apache/hudi/pull/4350#issuecomment-1001317161
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[GitHub] [hudi] leesf commented on a change in pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
Posted by GitBox <gi...@apache.org>.
leesf commented on a change in pull request #4350:
URL: https://github.com/apache/hudi/pull/4350#discussion_r776938473
##########
File path: .github/workflows/bot.yml
##########
@@ -20,14 +20,6 @@ jobs:
spark: "spark2"
- scala: "scala-2.11"
spark: "spark2,spark-shade-unbundle-avro"
- - scala: "scala-2.12"
Review comment:
@xushiyan I find it very hard to make it compatible between spark 3.2.0 and spark 3.0.x/spark3.1.x after we upgrade spark version to spark 3.2.0, so I commented out the workflow.
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[GitHub] [hudi] hudi-bot removed a comment on pull request #4350: [HUDI-3047] Basic Implementation of Spark Datasource V2
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hudi-bot removed a comment on pull request #4350:
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## CI report:
* 5f2bceb6f745b359ba7b5691ef1f2ab02eddde06 UNKNOWN
* 3855884f4791a45fa3a973e1e540e6988e863223 UNKNOWN
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* 082742e8794ec236f63d45ba5780305045babefb UNKNOWN
* f984f3a9e4f4b7cde1371c9f03e77e3fffd622ed UNKNOWN
* 2543c009c235d9019068a958e3c6fdf6c0758648 Azure: [FAILURE](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4731) Azure: [SUCCESS](https://dev.azure.com/apache-hudi-ci-org/785b6ef4-2f42-4a89-8f0e-5f0d7039a0cc/_build/results?buildId=4734)
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