[
https://issues.apache.org/jira/browse/SPARK-17467?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Kevin Huang updated SPARK-17467:
--------------------------------
Description:
I have an AVRO file on Swift(awclassic.avro). I ran Spark SQL to count its
records, but got incorrect result. The file has 60855 records, but I got 42451.
The following is the sample code I used:
{code:java}
public class SparkTest {
public static void main(String[] args) throws InterruptedException,
IOException {
SparkConf sparkConf = new SparkConf()
.setAppName("Spark-Swift-App")
.setMaster("local[8]");
JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);
Configuration hadoopConf = sparkContext.hadoopConfiguration();
Configuration extraHadoopConf = new Configuration(false);
extraHadoopConf.addResource("swift-site.xml"); // swift-site.xml is a
customized file which is to store Swift configurations.
hadoopConf.addResource(extraHadoopConf);
SQLContext sqlContext = new SQLContext(sparkContext);
DataFrame df =
sqlContext.read().format("com.databricks.spark.avro").load("swift://<container>.<provider>/awclassic/awclassic.avro");
df.registerTempTable("awclassic");
DataFrame result = sqlContext.sql("SELECT COUNT(*) FROM awclassic");
result.show();
}
}
{code}
I also found an interesting thing: if I changed the value of
fs.swift.blocksize, I got different results. For details, please see the
following table.
||fs.swift.blocksize ||SELECT COUNT\(*\) FROM awclassic ||
|16384(16M) | 51683|
|32768(32M) - default | 42451|
|65536(64M) | 30459|
was:
I have an AVRO file on Swift(awclassic.avro). I ran Spark SQL to count its
records, but got incorrect result. The file has 60855 records, but I got 42451.
The following is the sample code I used:
{code:java}
public class SparkTest {
public static void main(String[] args) throws InterruptedException,
IOException {
SparkConf sparkConf = new SparkConf()
.setAppName("Spark-Swift-App")
.setMaster("local[8]");
JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);
Configuration hadoopConf = sparkContext.hadoopConfiguration();
Configuration extraHadoopConf = new Configuration(false);
extraHadoopConf.addResource("swift-site.xml"); // swift-site.xml is a
customized file which is to store Swift configurations.
hadoopConf.addResource(extraHadoopConf);
SQLContext sqlContext = new SQLContext(sparkContext);
DataFrame df =
sqlContext.read().format("com.databricks.spark.avro").load("swift://bdd-edp.bddcs/awclassic/awclassic.avro");
df.registerTempTable("awclassic");
DataFrame result = sqlContext.sql("SELECT COUNT(*) FROM awclassic");
result.show();
}
}
{code}
I also found an interesting thing: if I changed the value of
fs.swift.blocksize, I got different results. For details, please see the
following table.
||fs.swift.blocksize ||SELECT COUNT\(*\) FROM awclassic ||
|16384(16M) | 51683|
|32768(32M) - default | 42451|
|65536(64M) | 30459|
> Spark SQL: Return incorrect result for the data files on Swift
> --------------------------------------------------------------
>
> Key: SPARK-17467
> URL: https://issues.apache.org/jira/browse/SPARK-17467
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.2
> Reporter: Kevin Huang
>
> I have an AVRO file on Swift(awclassic.avro). I ran Spark SQL to count its
> records, but got incorrect result. The file has 60855 records, but I got
> 42451.
> The following is the sample code I used:
> {code:java}
> public class SparkTest {
>
> public static void main(String[] args) throws InterruptedException,
> IOException {
> SparkConf sparkConf = new SparkConf()
> .setAppName("Spark-Swift-App")
> .setMaster("local[8]");
> JavaSparkContext sparkContext = new JavaSparkContext(sparkConf);
> Configuration hadoopConf = sparkContext.hadoopConfiguration();
> Configuration extraHadoopConf = new Configuration(false);
> extraHadoopConf.addResource("swift-site.xml"); // swift-site.xml is a
> customized file which is to store Swift configurations.
> hadoopConf.addResource(extraHadoopConf);
> SQLContext sqlContext = new SQLContext(sparkContext);
> DataFrame df =
> sqlContext.read().format("com.databricks.spark.avro").load("swift://<container>.<provider>/awclassic/awclassic.avro");
> df.registerTempTable("awclassic");
> DataFrame result = sqlContext.sql("SELECT COUNT(*) FROM awclassic");
> result.show();
> }
> }
> {code}
> I also found an interesting thing: if I changed the value of
> fs.swift.blocksize, I got different results. For details, please see the
> following table.
> ||fs.swift.blocksize ||SELECT COUNT\(*\) FROM awclassic ||
> |16384(16M) | 51683|
> |32768(32M) - default | 42451|
> |65536(64M) | 30459|
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