[
https://issues.apache.org/jira/browse/SPARK-10658?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ryanchou updated SPARK-10658:
-----------------------------
Description:
My spark program was written by pyspark API , and it has used the spark-csv jar
library.
I could submit the task by spark-submit, and add `--jars` arguments for using
spark-csv jar library as following commands:
```
/bin/spark-submit --jars /path/spark-csv_2.10-1.1.0.jar xxx.py
```
However I need to run my unittests like:
```
py.test -vvs test_xxx.py
```
It could't add jars by adding '--jars' arugment.
Therefore I tried to use the SparkContext.addPyFile() API to add jars in my
test_xxx.py.
Because I saw the addPyFile()'s doc mention me PACKAGES_EXTENSIONS = (.zip,
.py, .jar).
Does it mean that I could add *.jar (jar libraries) by using the addPyFile()?
The codes which using addPyFile() to add jars as below:
```
self.sc.addPyFile(join(lib_path, "spark-csv_2.10-1.1.0.jar"))
sqlContext = SQLContext(self.sc)
self.dataframe = sqlContext.load(
source="com.databricks.spark.csv",
header="true",
path="xxx.csv"
)
```
While it doesn't work. sqlContext cannot load the
source(com.databricks.spark.csv)
Eventually I have found another way to set the enviroment variable
SPARK_CLASSPATH for loading jars libraries
```
SPARK_CLASSPATH="/path/xxx.jar:/path/xxx2.jar" py.test -vvs test_xxx.py
```
It could load the jars libraries and sqlContext could load source succeed as
well as adding `--jar xxx1.jar` arguments
For the situation on using third party jars (.py & .egg could work well by
using addPyFile()) in pyspark-written scripts.
and it cannot use `--jars` on the situation (py.test -vvs test_xxx.py).
Have you ever planed to provide an API such as addJars() in scala for adding
jars to spark program, or was there a better way to add jars I still havent
found it yet?
If someone want to addjars() in pyspark-written scripts not using '--jars'.
Could you give us some suggestions on it?
was:
My spark program was written by pyspark API , and it has used the spark-csv jar
library.
I could submit the task by spark-submit, and add `--jars` arguments for using
spark-csv jar library as following commands:
```
/bin/spark-submit --jars /path/spark-csv_2.10-1.1.0.jar xxx.py
```
However I need to run my unittests like:
```
py.test -vvs test_xxx.py
```
It could't add jars by adding '--jars' arugment.
Therefore I tried to use the SparkContext.addPyFile() API to add jars in my
test_xxx.py.
Because I saw the addPyFile()'s doc mention me PACKAGES_EXTENSIONS = (.zip,
.py, .jar).
Does it mean that I could add *.jar (jar libraries) by using the addPyFile()?
The codes which using addPyFile() to add jars as below:
```
self.sc.addPyFile(join(lib_path, "spark-csv_2.10-1.1.0.jar"))
sqlContext = SQLContext(self.sc)
self.dataframe = sqlContext.load(
source="com.databricks.spark.csv",
header="true",
path="xxx.csv"
)
```
While it doesn't work. sqlContext cannot load the
source(com.databricks.spark.csv)
Eventually I have found another way to set the enviroment variable
SPARK_CLASSPATH for loading jars libraries
```
SPARK_CLASSPATH="/path/xxx.jar:/path/xxx2.jar" py.test -vvs test_xxx.py
```
It could load the jars libraries and sqlContext could load source succeed as
well as adding `--jar xxx1.jar` arguments
For the situation on using third party jars (.py & .egg could work well by
using addPyFile()) in pyspark-written scripts.
and it cannot use `--jars` on the situation (py.test -vvs test_xxx.py).
Have you ever planed to provide an API such as addJars() in scala for adding
jars to spark program, or was there a better way to add jars I still havent
found it yet?
> Could pyspark provide addJars() as scala spark API?
> ----------------------------------------------------
>
> Key: SPARK-10658
> URL: https://issues.apache.org/jira/browse/SPARK-10658
> Project: Spark
> Issue Type: Wish
> Components: PySpark
> Affects Versions: 1.3.1
> Environment: Linux ubuntu 14.01 LTS
> Reporter: ryanchou
> Labels: features
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> My spark program was written by pyspark API , and it has used the spark-csv
> jar library.
> I could submit the task by spark-submit, and add `--jars` arguments for using
> spark-csv jar library as following commands:
> ```
> /bin/spark-submit --jars /path/spark-csv_2.10-1.1.0.jar xxx.py
> ```
> However I need to run my unittests like:
> ```
> py.test -vvs test_xxx.py
> ```
> It could't add jars by adding '--jars' arugment.
> Therefore I tried to use the SparkContext.addPyFile() API to add jars in my
> test_xxx.py.
> Because I saw the addPyFile()'s doc mention me PACKAGES_EXTENSIONS = (.zip,
> .py, .jar).
> Does it mean that I could add *.jar (jar libraries) by using the addPyFile()?
> The codes which using addPyFile() to add jars as below:
> ```
> self.sc.addPyFile(join(lib_path, "spark-csv_2.10-1.1.0.jar"))
> sqlContext = SQLContext(self.sc)
> self.dataframe = sqlContext.load(
> source="com.databricks.spark.csv",
> header="true",
> path="xxx.csv"
> )
> ```
> While it doesn't work. sqlContext cannot load the
> source(com.databricks.spark.csv)
> Eventually I have found another way to set the enviroment variable
> SPARK_CLASSPATH for loading jars libraries
> ```
> SPARK_CLASSPATH="/path/xxx.jar:/path/xxx2.jar" py.test -vvs test_xxx.py
> ```
> It could load the jars libraries and sqlContext could load source succeed as
> well as adding `--jar xxx1.jar` arguments
> For the situation on using third party jars (.py & .egg could work well by
> using addPyFile()) in pyspark-written scripts.
> and it cannot use `--jars` on the situation (py.test -vvs test_xxx.py).
> Have you ever planed to provide an API such as addJars() in scala for adding
> jars to spark program, or was there a better way to add jars I still havent
> found it yet?
> If someone want to addjars() in pyspark-written scripts not using '--jars'.
> Could you give us some suggestions on it?
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