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new 5a8aad0 [SPARK-27343][KAFKA][SS] Avoid hardcoded for
spark-sql-kafka-0-10
5a8aad0 is described below
commit 5a8aad01c2aaf0ceef8e9a3cfabbd2e88c8d9f0d
Author: hehuiyuan <hehuiyuan@ZBMAC-C02WD3K5H.local>
AuthorDate: Sun May 12 10:46:18 2019 -0500
[SPARK-27343][KAFKA][SS] Avoid hardcoded for spark-sql-kafka-0-10
## What changes were proposed in this pull request?
[SPARK-27343](https://issues.apache.org/jira/projects/SPARK/issues/SPARK-27343)
Based on the previous PR: https://github.com/apache/spark/pull/24270
Extracting parameters , building the objects of ConfigEntry.
For example:
for the parameter "spark.kafka.producer.cache.timeout",we build
```
private[kafka010] val PRODUCER_CACHE_TIMEOUT =
ConfigBuilder("spark.kafka.producer.cache.timeout")
.doc("The expire time to remove the unused producers.")
.timeConf(TimeUnit.MILLISECONDS)
.createWithDefaultString("10m")
```
Closes #24574 from hehuiyuan/hehuiyuan-patch-9.
Authored-by: hehuiyuan <hehuiyuan@ZBMAC-C02WD3K5H.local>
Signed-off-by: Sean Owen <sean.o...@databricks.com>
---
.../spark/sql/kafka010/CachedKafkaProducer.scala | 7 +++---
.../spark/sql/kafka010/KafkaContinuousStream.scala | 3 ++-
.../spark/sql/kafka010/KafkaDataConsumer.scala | 2 +-
.../spark/sql/kafka010/KafkaMicroBatchStream.scala | 5 ++--
.../sql/kafka010/KafkaOffsetRangeCalculator.scala | 3 ++-
.../spark/sql/kafka010/KafkaOffsetReader.scala | 4 ++--
.../apache/spark/sql/kafka010/KafkaRelation.scala | 2 +-
.../apache/spark/sql/kafka010/KafkaSource.scala | 4 ++--
.../spark/sql/kafka010/KafkaSourceProvider.scala | 27 ++++++++++++++--------
.../org/apache/spark/sql/kafka010/package.scala | 16 +++++++++++++
10 files changed, 49 insertions(+), 24 deletions(-)
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/CachedKafkaProducer.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/CachedKafkaProducer.scala
index 2bab287..ce22e3f 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/CachedKafkaProducer.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/CachedKafkaProducer.scala
@@ -36,10 +36,9 @@ private[kafka010] object CachedKafkaProducer extends Logging
{
private val defaultCacheExpireTimeout = TimeUnit.MINUTES.toMillis(10)
- private lazy val cacheExpireTimeout: Long =
- Option(SparkEnv.get).map(_.conf.getTimeAsMs(
- "spark.kafka.producer.cache.timeout",
- s"${defaultCacheExpireTimeout}ms")).getOrElse(defaultCacheExpireTimeout)
+ private lazy val cacheExpireTimeout: Long = Option(SparkEnv.get)
+ .map(_.conf.get(PRODUCER_CACHE_TIMEOUT))
+ .getOrElse(defaultCacheExpireTimeout)
private val cacheLoader = new CacheLoader[Seq[(String, Object)], Producer] {
override def load(config: Seq[(String, Object)]): Producer = {
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaContinuousStream.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaContinuousStream.scala
index 92686d2..03f82a5 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaContinuousStream.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaContinuousStream.scala
@@ -53,7 +53,8 @@ class KafkaContinuousStream(
failOnDataLoss: Boolean)
extends ContinuousStream with Logging {
- private val pollTimeoutMs =
sourceOptions.getOrElse("kafkaConsumer.pollTimeoutMs", "512").toLong
+ private val pollTimeoutMs =
+ sourceOptions.getOrElse(KafkaSourceProvider.CONSUMER_POLL_TIMEOUT,
"512").toLong
// Initialized when creating reader factories. If this diverges from the
partitions at the latest
// offsets, we need to reconfigure.
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaDataConsumer.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaDataConsumer.scala
index 45ea3d2..cbb99fd 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaDataConsumer.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaDataConsumer.scala
@@ -523,7 +523,7 @@ private[kafka010] object KafkaDataConsumer extends Logging {
// tasks simultaneously using consumers than the capacity.
private lazy val cache = {
val conf = SparkEnv.get.conf
- val capacity = conf.getInt("spark.sql.kafkaConsumerCache.capacity", 64)
+ val capacity = conf.get(CONSUMER_CACHE_CAPACITY)
new ju.LinkedHashMap[CacheKey, InternalKafkaConsumer](capacity, 0.75f,
true) {
override def removeEldestEntry(
entry: ju.Map.Entry[CacheKey, InternalKafkaConsumer]): Boolean = {
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaMicroBatchStream.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaMicroBatchStream.scala
index 76c7b5d..32d5f92 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaMicroBatchStream.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaMicroBatchStream.scala
@@ -64,10 +64,11 @@ private[kafka010] class KafkaMicroBatchStream(
failOnDataLoss: Boolean) extends RateControlMicroBatchStream with Logging {
private val pollTimeoutMs = options.getLong(
- "kafkaConsumer.pollTimeoutMs",
+ KafkaSourceProvider.CONSUMER_POLL_TIMEOUT,
SparkEnv.get.conf.get(NETWORK_TIMEOUT) * 1000L)
- private val maxOffsetsPerTrigger =
Option(options.get("maxOffsetsPerTrigger")).map(_.toLong)
+ private val maxOffsetsPerTrigger =
Option(options.get(KafkaSourceProvider.MAX_OFFSET_PER_TRIGGER))
+ .map(_.toLong)
private val rangeCalculator = KafkaOffsetRangeCalculator(options)
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetRangeCalculator.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetRangeCalculator.scala
index 1af8404..c188b4c 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetRangeCalculator.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetRangeCalculator.scala
@@ -92,7 +92,8 @@ private[kafka010] class KafkaOffsetRangeCalculator(val
minPartitions: Option[Int
private[kafka010] object KafkaOffsetRangeCalculator {
def apply(options: CaseInsensitiveStringMap): KafkaOffsetRangeCalculator = {
- val optionalValue = Option(options.get("minPartitions")).map(_.toInt)
+ val optionalValue =
Option(options.get(KafkaSourceProvider.MIN_PARTITIONS_OPTION_KEY))
+ .map(_.toInt)
new KafkaOffsetRangeCalculator(optionalValue)
}
}
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetReader.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetReader.scala
index c64b070..429cbeb 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetReader.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaOffsetReader.scala
@@ -89,10 +89,10 @@ private[kafka010] class KafkaOffsetReader(
}
private val maxOffsetFetchAttempts =
- readerOptions.getOrElse("fetchOffset.numRetries", "3").toInt
+ readerOptions.getOrElse(KafkaSourceProvider.FETCH_OFFSET_NUM_RETRY,
"3").toInt
private val offsetFetchAttemptIntervalMs =
- readerOptions.getOrElse("fetchOffset.retryIntervalMs", "1000").toLong
+
readerOptions.getOrElse(KafkaSourceProvider.FETCH_OFFSET_RETRY_INTERVAL_MS,
"1000").toLong
private def nextGroupId(): String = {
groupId = driverGroupIdPrefix + "-" + nextId
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaRelation.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaRelation.scala
index 48cc089..d1ff96a 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaRelation.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaRelation.scala
@@ -47,7 +47,7 @@ private[kafka010] class KafkaRelation(
"Ending offset not allowed to be set to earliest offsets.")
private val pollTimeoutMs = sourceOptions.getOrElse(
- "kafkaConsumer.pollTimeoutMs",
+ KafkaSourceProvider.CONSUMER_POLL_TIMEOUT,
(sqlContext.sparkContext.conf.get(NETWORK_TIMEOUT) * 1000L).toString
).toLong
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSource.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSource.scala
index fa93e8f..037c01b 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSource.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSource.scala
@@ -85,12 +85,12 @@ private[kafka010] class KafkaSource(
private val sc = sqlContext.sparkContext
private val pollTimeoutMs = sourceOptions.getOrElse(
- "kafkaConsumer.pollTimeoutMs",
+ KafkaSourceProvider.CONSUMER_POLL_TIMEOUT,
(sc.conf.get(NETWORK_TIMEOUT) * 1000L).toString
).toLong
private val maxOffsetsPerTrigger =
- sourceOptions.get("maxOffsetsPerTrigger").map(_.toLong)
+ sourceOptions.get(KafkaSourceProvider.MAX_OFFSET_PER_TRIGGER).map(_.toLong)
/**
* Lazily initialize `initialPartitionOffsets` to make sure that
`KafkaConsumer.poll` is only
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSourceProvider.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSourceProvider.scala
index c27382d..dbd3310 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSourceProvider.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSourceProvider.scala
@@ -185,11 +185,11 @@ private[kafka010] class KafkaSourceProvider extends
DataSourceRegister
private def strategy(caseInsensitiveParams: Map[String, String]) =
caseInsensitiveParams.find(x => STRATEGY_OPTION_KEYS.contains(x._1)).get
match {
- case ("assign", value) =>
+ case (ASSIGN, value) =>
AssignStrategy(JsonUtils.partitions(value))
- case ("subscribe", value) =>
+ case (SUBSCRIBE, value) =>
SubscribeStrategy(value.split(",").map(_.trim()).filter(_.nonEmpty))
- case ("subscribepattern", value) =>
+ case (SUBSCRIBE_PATTERN, value) =>
SubscribePatternStrategy(value.trim())
case _ =>
// Should never reach here as we are already matching on
@@ -217,22 +217,22 @@ private[kafka010] class KafkaSourceProvider extends
DataSourceRegister
}
val strategy = caseInsensitiveParams.find(x =>
STRATEGY_OPTION_KEYS.contains(x._1)).get match {
- case ("assign", value) =>
+ case (ASSIGN, value) =>
if (!value.trim.startsWith("{")) {
throw new IllegalArgumentException(
"No topicpartitions to assign as specified value for option " +
s"'assign' is '$value'")
}
- case ("subscribe", value) =>
+ case (SUBSCRIBE, value) =>
val topics = value.split(",").map(_.trim).filter(_.nonEmpty)
if (topics.isEmpty) {
throw new IllegalArgumentException(
"No topics to subscribe to as specified value for option " +
s"'subscribe' is '$value'")
}
- case ("subscribepattern", value) =>
- val pattern = caseInsensitiveParams("subscribepattern").trim()
+ case (SUBSCRIBE_PATTERN, value) =>
+ val pattern = caseInsensitiveParams(SUBSCRIBE_PATTERN).trim()
if (pattern.isEmpty) {
throw new IllegalArgumentException(
"Pattern to subscribe is empty as specified value for option " +
@@ -348,7 +348,7 @@ private[kafka010] class KafkaSourceProvider extends
DataSourceRegister
validateGeneralOptions(caseInsensitiveParams)
// Don't want to throw an error, but at least log a warning.
- if (caseInsensitiveParams.get("maxoffsetspertrigger").isDefined) {
+ if
(caseInsensitiveParams.get(MAX_OFFSET_PER_TRIGGER.toLowerCase(Locale.ROOT)).isDefined)
{
logWarning("maxOffsetsPerTrigger option ignored in batch queries")
}
}
@@ -458,11 +458,18 @@ private[kafka010] class KafkaSourceProvider extends
DataSourceRegister
}
private[kafka010] object KafkaSourceProvider extends Logging {
- private val STRATEGY_OPTION_KEYS = Set("subscribe", "subscribepattern",
"assign")
+ private val ASSIGN = "assign"
+ private val SUBSCRIBE_PATTERN = "subscribepattern"
+ private val SUBSCRIBE = "subscribe"
+ private val STRATEGY_OPTION_KEYS = Set(SUBSCRIBE, SUBSCRIBE_PATTERN, ASSIGN)
private[kafka010] val STARTING_OFFSETS_OPTION_KEY = "startingoffsets"
private[kafka010] val ENDING_OFFSETS_OPTION_KEY = "endingoffsets"
private val FAIL_ON_DATA_LOSS_OPTION_KEY = "failondataloss"
- private val MIN_PARTITIONS_OPTION_KEY = "minpartitions"
+ private[kafka010] val MIN_PARTITIONS_OPTION_KEY = "minpartitions"
+ private[kafka010] val MAX_OFFSET_PER_TRIGGER = "maxOffsetsPerTrigger"
+ private[kafka010] val FETCH_OFFSET_NUM_RETRY = "fetchOffset.numRetries"
+ private[kafka010] val FETCH_OFFSET_RETRY_INTERVAL_MS =
"fetchOffset.retryIntervalMs"
+ private[kafka010] val CONSUMER_POLL_TIMEOUT = "kafkaConsumer.pollTimeoutMs"
private val GROUP_ID_PREFIX = "groupidprefix"
val TOPIC_OPTION_KEY = "topic"
diff --git
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/package.scala
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/package.scala
index 43acd6a..115ec44 100644
---
a/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/package.scala
+++
b/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/package.scala
@@ -16,9 +16,25 @@
*/
package org.apache.spark.sql
+import java.util.concurrent.TimeUnit
+
import org.apache.kafka.common.TopicPartition
+import org.apache.spark.internal.config.ConfigBuilder
+
package object kafka010 { // scalastyle:ignore
// ^^ scalastyle:ignore is for ignoring warnings about digits in package name
type PartitionOffsetMap = Map[TopicPartition, Long]
+
+ private[kafka010] val PRODUCER_CACHE_TIMEOUT =
+ ConfigBuilder("spark.kafka.producer.cache.timeout")
+ .doc("The expire time to remove the unused producers.")
+ .timeConf(TimeUnit.MILLISECONDS)
+ .createWithDefaultString("10m")
+
+ private[kafka010] val CONSUMER_CACHE_CAPACITY =
+ ConfigBuilder("spark.sql.kafkaConsumerCache.capacity")
+ .doc("The size of consumers cached.")
+ .intConf
+ .createWithDefault(64)
}
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