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Using immutable map instead of mutables to generate parameters

This commit is contained in:
Kent Yao
2019-01-29 10:01:25 +08:00
committed by vinoth chandar
parent 7985eb72b5
commit 2b55f0751f
4 changed files with 95 additions and 55 deletions

View File

@@ -130,6 +130,24 @@
<groupId>org.apache.rat</groupId>
<artifactId>apache-rat-plugin</artifactId>
</plugin>
<plugin>
<groupId>org.scalatest</groupId>
<artifactId>scalatest-maven-plugin</artifactId>
<version>1.0</version>
<configuration>
<reportsDirectory>${project.build.directory}/surefire-reports</reportsDirectory>
<junitxml>.</junitxml>
<filereports>TestSuite.txt</filereports>
</configuration>
<executions>
<execution>
<id>test</id>
<goals>
<goal>test</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>

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@@ -18,20 +18,15 @@
package com.uber.hoodie
import java.util.concurrent.ConcurrentHashMap
import com.uber.hoodie.DataSourceReadOptions._
import com.uber.hoodie.exception.HoodieException
import org.apache.log4j.LogManager
import org.apache.spark.sql.{DataFrame, SaveMode, SQLContext}
import org.apache.spark.sql.execution.datasources.DataSource
import org.apache.spark.sql.execution.streaming.Sink
import org.apache.spark.sql.sources._
import org.apache.spark.sql.streaming.OutputMode
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode}
import scala.collection.JavaConversions._
import scala.collection.mutable
/**
* Hoodie Spark Datasource, for reading and writing hoodie datasets
@@ -51,22 +46,12 @@ class DefaultSource extends RelationProvider
createRelation(sqlContext, parameters, null)
}
/**
* Add default options for unspecified read options keys.
*
* @param parameters
* @return
*/
def parametersWithReadDefaults(parameters: Map[String, String]): mutable.Map[String, String] = {
val defaultsMap = new ConcurrentHashMap[String, String](mapAsJavaMap(parameters))
defaultsMap.putIfAbsent(VIEW_TYPE_OPT_KEY, DEFAULT_VIEW_TYPE_OPT_VAL)
mapAsScalaMap(defaultsMap)
}
override def createRelation(sqlContext: SQLContext,
optParams: Map[String, String],
schema: StructType): BaseRelation = {
val parameters = parametersWithReadDefaults(optParams)
// Add default options for unspecified read options keys.
val parameters = Map(VIEW_TYPE_OPT_KEY -> DEFAULT_VIEW_TYPE_OPT_VAL) ++: optParams
val path = parameters.get("path")
if (path.isEmpty) {
throw new HoodieException("'path' must be specified.")
@@ -92,7 +77,7 @@ class DefaultSource extends RelationProvider
sparkSession = sqlContext.sparkSession,
userSpecifiedSchema = Option(schema),
className = "parquet",
options = parameters.toMap)
options = parameters)
.resolveRelation()
}
}
@@ -102,7 +87,7 @@ class DefaultSource extends RelationProvider
optParams: Map[String, String],
df: DataFrame): BaseRelation = {
val parameters = HoodieSparkSqlWriter.parametersWithWriteDefaults(optParams).toMap
val parameters = HoodieSparkSqlWriter.parametersWithWriteDefaults(optParams)
HoodieSparkSqlWriter.write(sqlContext, mode, parameters, df)
createRelation(sqlContext, parameters, df.schema)
}
@@ -111,7 +96,7 @@ class DefaultSource extends RelationProvider
optParams: Map[String, String],
partitionColumns: Seq[String],
outputMode: OutputMode): Sink = {
val parameters = HoodieSparkSqlWriter.parametersWithWriteDefaults(optParams).toMap
val parameters = HoodieSparkSqlWriter.parametersWithWriteDefaults(optParams)
new HoodieStreamingSink(
sqlContext,
parameters,

View File

@@ -18,12 +18,8 @@
package com.uber.hoodie
import java.util
import java.util.concurrent.ConcurrentHashMap
import java.util.Optional
import scala.collection.JavaConversions._
import scala.collection.mutable.ListBuffer
import com.uber.hoodie.DataSourceWriteOptions._
import com.uber.hoodie.common.table.HoodieTableMetaClient
import com.uber.hoodie.common.util.{FSUtils, TypedProperties}
@@ -36,9 +32,10 @@ import org.apache.hadoop.hive.conf.HiveConf
import org.apache.log4j.LogManager
import org.apache.spark.api.java.JavaSparkContext
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{DataFrame, SQLContext, SaveMode}
import org.apache.spark.sql.{DataFrame, SaveMode, SQLContext}
import scala.collection.mutable
import scala.collection.JavaConversions._
import scala.collection.mutable.ListBuffer
private[hoodie] object HoodieSparkSqlWriter {
@@ -98,7 +95,7 @@ private[hoodie] object HoodieSparkSqlWriter {
gr, parameters(PRECOMBINE_FIELD_OPT_KEY)).asInstanceOf[Comparable[_]]
DataSourceUtils.createHoodieRecord(gr,
orderingVal, keyGenerator.getKey(gr), parameters(PAYLOAD_CLASS_OPT_KEY))
}).toJavaRDD();
}).toJavaRDD()
val jsc = new JavaSparkContext(sparkContext)
@@ -117,7 +114,7 @@ private[hoodie] object HoodieSparkSqlWriter {
return (true, None)
}
val basePath = new Path(parameters.get("path").get)
val basePath = new Path(parameters("path"))
val fs = basePath.getFileSystem(sparkContext.hadoopConfiguration)
var exists = fs.exists(basePath)
@@ -172,7 +169,7 @@ private[hoodie] object HoodieSparkSqlWriter {
log.info("Commit " + commitTime + " failed!")
}
val hiveSyncEnabled = parameters.get(HIVE_SYNC_ENABLED_OPT_KEY).map(r => r.toBoolean).getOrElse(false)
val hiveSyncEnabled = parameters.get(HIVE_SYNC_ENABLED_OPT_KEY).exists(r => r.toBoolean)
val syncHiveSucess = if (hiveSyncEnabled) {
log.info("Syncing to Hive Metastore (URL: " + parameters(HIVE_URL_OPT_KEY) + ")")
val fs = FSUtils.getFs(basePath.toString, jsc.hadoopConfiguration)
@@ -207,30 +204,29 @@ private[hoodie] object HoodieSparkSqlWriter {
* @param parameters
* @return
*/
def parametersWithWriteDefaults(parameters: Map[String, String]): mutable.Map[String, String] = {
val defaultsMap = new ConcurrentHashMap[String, String](mapAsJavaMap(parameters))
defaultsMap.putIfAbsent(OPERATION_OPT_KEY, DEFAULT_OPERATION_OPT_VAL)
defaultsMap.putIfAbsent(STORAGE_TYPE_OPT_KEY, DEFAULT_STORAGE_TYPE_OPT_VAL)
defaultsMap.putIfAbsent(PRECOMBINE_FIELD_OPT_KEY, DEFAULT_PRECOMBINE_FIELD_OPT_VAL)
defaultsMap.putIfAbsent(PAYLOAD_CLASS_OPT_KEY, DEFAULT_PAYLOAD_OPT_VAL)
defaultsMap.putIfAbsent(RECORDKEY_FIELD_OPT_KEY, DEFAULT_RECORDKEY_FIELD_OPT_VAL)
defaultsMap.putIfAbsent(PARTITIONPATH_FIELD_OPT_KEY, DEFAULT_PARTITIONPATH_FIELD_OPT_VAL)
defaultsMap.putIfAbsent(KEYGENERATOR_CLASS_OPT_KEY, DEFAULT_KEYGENERATOR_CLASS_OPT_VAL)
defaultsMap.putIfAbsent(COMMIT_METADATA_KEYPREFIX_OPT_KEY, DEFAULT_COMMIT_METADATA_KEYPREFIX_OPT_VAL)
defaultsMap.putIfAbsent(INSERT_DROP_DUPS_OPT_KEY, DEFAULT_INSERT_DROP_DUPS_OPT_VAL)
defaultsMap.putIfAbsent(STREAMING_RETRY_CNT_OPT_KEY, DEFAULT_STREAMING_RETRY_CNT_OPT_VAL)
defaultsMap.putIfAbsent(STREAMING_RETRY_INTERVAL_MS_OPT_KEY, DEFAULT_STREAMING_RETRY_INTERVAL_MS_OPT_VAL)
defaultsMap.putIfAbsent(STREAMING_IGNORE_FAILED_BATCH_OPT_KEY, DEFAULT_STREAMING_IGNORE_FAILED_BATCH_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_SYNC_ENABLED_OPT_KEY, DEFAULT_HIVE_SYNC_ENABLED_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_DATABASE_OPT_KEY, DEFAULT_HIVE_DATABASE_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_TABLE_OPT_KEY, DEFAULT_HIVE_TABLE_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_USER_OPT_KEY, DEFAULT_HIVE_USER_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_PASS_OPT_KEY, DEFAULT_HIVE_PASS_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_URL_OPT_KEY, DEFAULT_HIVE_URL_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_PARTITION_FIELDS_OPT_KEY, DEFAULT_HIVE_PARTITION_FIELDS_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY, DEFAULT_HIVE_PARTITION_EXTRACTOR_CLASS_OPT_VAL)
defaultsMap.putIfAbsent(HIVE_ASSUME_DATE_PARTITION_OPT_KEY, DEFAULT_HIVE_ASSUME_DATE_PARTITION_OPT_VAL)
mapAsScalaMap(defaultsMap)
def parametersWithWriteDefaults(parameters: Map[String, String]): Map[String, String] = {
Map(OPERATION_OPT_KEY -> DEFAULT_OPERATION_OPT_VAL,
STORAGE_TYPE_OPT_KEY -> DEFAULT_STORAGE_TYPE_OPT_VAL,
PRECOMBINE_FIELD_OPT_KEY -> DEFAULT_PRECOMBINE_FIELD_OPT_VAL,
PAYLOAD_CLASS_OPT_KEY -> DEFAULT_PAYLOAD_OPT_VAL,
RECORDKEY_FIELD_OPT_KEY -> DEFAULT_RECORDKEY_FIELD_OPT_VAL,
PARTITIONPATH_FIELD_OPT_KEY -> DEFAULT_PARTITIONPATH_FIELD_OPT_VAL,
KEYGENERATOR_CLASS_OPT_KEY -> DEFAULT_KEYGENERATOR_CLASS_OPT_VAL,
COMMIT_METADATA_KEYPREFIX_OPT_KEY -> DEFAULT_COMMIT_METADATA_KEYPREFIX_OPT_VAL,
INSERT_DROP_DUPS_OPT_KEY -> DEFAULT_INSERT_DROP_DUPS_OPT_VAL,
STREAMING_RETRY_CNT_OPT_KEY -> DEFAULT_STREAMING_RETRY_CNT_OPT_VAL,
STREAMING_RETRY_INTERVAL_MS_OPT_KEY -> DEFAULT_STREAMING_RETRY_INTERVAL_MS_OPT_VAL,
STREAMING_IGNORE_FAILED_BATCH_OPT_KEY -> DEFAULT_STREAMING_IGNORE_FAILED_BATCH_OPT_VAL,
HIVE_SYNC_ENABLED_OPT_KEY -> DEFAULT_HIVE_SYNC_ENABLED_OPT_VAL,
HIVE_DATABASE_OPT_KEY -> DEFAULT_HIVE_DATABASE_OPT_VAL,
HIVE_TABLE_OPT_KEY -> DEFAULT_HIVE_TABLE_OPT_VAL,
HIVE_USER_OPT_KEY -> DEFAULT_HIVE_USER_OPT_VAL,
HIVE_PASS_OPT_KEY -> DEFAULT_HIVE_PASS_OPT_VAL,
HIVE_URL_OPT_KEY -> DEFAULT_HIVE_URL_OPT_VAL,
HIVE_PARTITION_FIELDS_OPT_KEY -> DEFAULT_HIVE_PARTITION_FIELDS_OPT_VAL,
HIVE_PARTITION_EXTRACTOR_CLASS_OPT_KEY -> DEFAULT_HIVE_PARTITION_EXTRACTOR_CLASS_OPT_VAL,
HIVE_ASSUME_DATE_PARTITION_OPT_KEY -> DEFAULT_HIVE_ASSUME_DATE_PARTITION_OPT_VAL
) ++: parameters
}
def toProperties(params: Map[String, String]): TypedProperties = {

View File

@@ -0,0 +1,41 @@
/*
* Copyright (c) 2017 Uber Technologies, Inc. (hoodie-dev-group@uber.com)
*
* Licensed 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 com.uber.hoodie
import org.scalatest.{FunSuite, Matchers}
import DataSourceWriteOptions._
class HoodieSparkSqlWriterSuite extends FunSuite with Matchers {
test("Parameters With Write Defaults") {
val originals = HoodieSparkSqlWriter.parametersWithWriteDefaults(Map.empty)
val rhsKey = "hoodie.right.hand.side.key"
val rhsVal = "hoodie.right.hand.side.val"
val modifier = Map(OPERATION_OPT_KEY -> INSERT_OPERATION_OPT_VAL, STORAGE_TYPE_OPT_KEY -> MOR_STORAGE_TYPE_OPT_VAL, rhsKey -> rhsVal)
val modified = HoodieSparkSqlWriter.parametersWithWriteDefaults(modifier)
val matcher = (k: String, v: String) => modified(k) should be(v)
originals foreach {
case (OPERATION_OPT_KEY, _) => matcher(OPERATION_OPT_KEY, INSERT_OPERATION_OPT_VAL)
case (STORAGE_TYPE_OPT_KEY, _) => matcher(STORAGE_TYPE_OPT_KEY, MOR_STORAGE_TYPE_OPT_VAL)
case (`rhsKey`, _) => matcher(rhsKey, rhsVal)
case (k, v) => matcher(k, v)
}
}
}