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Posted to user@spark.apache.org by Fawze Abujaber <fa...@gmail.com> on 2018/05/03 12:06:15 UTC
native-lzo library not available
Hi Guys,
I'm running into issue where my spark jobs are failing on the below error,
I'm using Spark 1.6.0 with CDH 5.13.0.
I tried to figure it out with no success.
Will appreciate any help or a direction how to attack this issue.
User class threw exception: org.apache.spark.SparkException: Job aborted
due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent
failure: Lost task 0.3 in stage 1.0 (TID 3, xxxxxx, executor 1):
*java.lang.RuntimeException:
native-lzo library not available*
*at
com.hadoop.compression.lzo.LzoCodec.getDecompressorType(LzoCodec.java:193)*
at
org.apache.hadoop.io.compress.CodecPool.getDecompressor(CodecPool.java:181)
at org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1995)
at
org.apache.hadoop.io.SequenceFile$Reader.initialize(SequenceFile.java:1881)
at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1830)
at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1844)
at
org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.initialize(SequenceFileRecordReader.java:54)
at
com.liveperson.dallas.lp.utils.incremental.DallasGenericTextFileRecordReader.initialize(DallasGenericTextFileRecordReader.java:64)
at
com.liveperson.hadoop.fs.inputs.LPCombineFileRecordReaderWrapper.initialize(LPCombineFileRecordReaderWrapper.java:38)
at
org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.initialize(CombineFileRecordReader.java:63)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:168)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:133)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:65)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
I see the LZO at GPextras:
ll
total 104
-rw-r--r-- 1 cloudera-scm cloudera-scm 35308 Oct 4 2017 COPYING.hadoop-lzo
-rw-r--r-- 1 cloudera-scm cloudera-scm 62268 Oct 4 2017
hadoop-lzo-0.4.15-cdh5.13.0.jar
lrwxrwxrwx 1 cloudera-scm cloudera-scm 31 May 3 07:23 hadoop-lzo.jar ->
hadoop-lzo-0.4.15-cdh5.13.0.jar
drwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
--
Take Care
Fawze Abujaber
Re: native-lzo library not available
Posted by ayan guha <gu...@gmail.com>.
This seems to be a Cloudera environment issue, and you might get a faster
and more reliable answer in Cloudera forums.
On Fri, May 4, 2018 at 3:39 PM, Fawze Abujaber <fa...@gmail.com> wrote:
> Hi Yulia,
>
> Thanks for you response.
>
> i see only lzo only for impala
>
> [root@xxxxxxx ~]# locate *lzo*.so*
> /opt/cloudera/parcels/GPLEXTRAS-5.13.0-1.cdh5.13.0.p0.29/lib/impala/lib/
> libimpalalzo.so
> /usr/lib64/liblzo2.so.2
> /usr/lib64/liblzo2.so.2.0.0
>
> the /opt/cloudera/parcels/GPLEXTRAS-5.13.0-1.cdh5.13.0.p0.29/lib/hadoop/lib/native
> has :
>
> -rwxr-xr-x 1 cloudera-scm cloudera-scm 22918 Oct 4 2017
> libgplcompression.a
> -rwxr-xr-x 1 cloudera-scm cloudera-scm 1204 Oct 4 2017
> libgplcompression.la
> -rwxr-xr-x 1 cloudera-scm cloudera-scm 1205 Oct 4 2017
> libgplcompression.lai
> -rwxr-xr-x 1 cloudera-scm cloudera-scm 15760 Oct 4 2017
> libgplcompression.so
> -rwxr-xr-x 1 cloudera-scm cloudera-scm 15768 Oct 4 2017
> libgplcompression.so.0
> -rwxr-xr-x 1 cloudera-scm cloudera-scm 15768 Oct 4 2017
> libgplcompression.so.0.0.0
>
>
> and /opt/cloudera/parcels/GPLEXTRAS-5.13.0-1.cdh5.13.0.p0.29/lib/spark-netlib/lib
> has:
>
> -rw-r--r-- 1 cloudera-scm cloudera-scm 8673 Oct 4 2017
> jniloader-1.1.jar
> -rw-r--r-- 1 cloudera-scm cloudera-scm 53249 Oct 4 2017
> native_ref-java-1.1.jar
> -rw-r--r-- 1 cloudera-scm cloudera-scm 53295 Oct 4 2017
> native_system-java-1.1.jar
> -rw-r--r-- 1 cloudera-scm cloudera-scm 1732268 Oct 4 2017
> netlib-native_ref-linux-x86_64-1.1-natives.jar
> -rw-r--r-- 1 cloudera-scm cloudera-scm 446694 Oct 4 2017
> netlib-native_system-linux-x86_64-1.1-natives.jar
>
>
> Note: The issue occuring only with the spark job, mapreduce job working
> fine.
>
> On Thu, May 3, 2018 at 9:17 PM, yuliya Feldman <yu...@yahoo.com>
> wrote:
>
>> Jar is not enough, you need native library (*.so) - see if your "native"
>> directory contains it
>>
>> drwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
>>
>> and whether java.library.path or LD_LIBRARY_PATH points/includes
>> directory where your *.so library resides
>>
>> On Thursday, May 3, 2018, 5:06:35 AM PDT, Fawze Abujaber <
>> fawzeaj@gmail.com> wrote:
>>
>>
>> Hi Guys,
>>
>> I'm running into issue where my spark jobs are failing on the below
>> error, I'm using Spark 1.6.0 with CDH 5.13.0.
>>
>> I tried to figure it out with no success.
>>
>> Will appreciate any help or a direction how to attack this issue.
>>
>> User class threw exception: org.apache.spark.SparkException: Job aborted
>> due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent
>> failure: Lost task 0.3 in stage 1.0 (TID 3, xxxxxx, executor 1): *java.lang.RuntimeException:
>> native-lzo library not available*
>> *at
>> com.hadoop.compression.lzo.LzoCodec.getDecompressorType(LzoCodec.java:193)*
>> at org.apache.hadoop.io.compress.CodecPool.getDecompressor(Code
>> cPool.java:181)
>> at org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1995)
>> at org.apache.hadoop.io.SequenceFile$Reader.initialize(
>> SequenceFile.java:1881)
>> at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile
>> .java:1830)
>> at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile
>> .java:1844)
>> at org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordRead
>> er.initialize(SequenceFileRecordReader.java:54)
>> at com.liveperson.dallas.lp.utils.incremental.DallasGenericText
>> FileRecordReader.initialize(DallasGenericTextFileRecordReader.java:64)
>> at com.liveperson.hadoop.fs.inputs.LPCombineFileRecordReaderWra
>> pper.initialize(LPCombineFileRecordReaderWrapper.java:38)
>> at org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReade
>> r.initialize(CombineFileRecordReader.java:63)
>> at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRD
>> D.scala:168)
>> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:133)
>> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:65)
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsR
>> DD.scala:38)
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsR
>> DD.scala:38)
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsR
>> DD.scala:38)
>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
>> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMap
>> Task.scala:73)
>> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMap
>> Task.scala:41)
>> at org.apache.spark.scheduler.Task.run(Task.scala:89)
>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
>> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool
>> Executor.java:1145)
>> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo
>> lExecutor.java:615)
>> at java.lang.Thread.run(Thread.java:745)
>> Driver stacktrace:
>>
>>
>>
>> I see the LZO at GPextras:
>>
>> ll
>> total 104
>> -rw-r--r-- 1 cloudera-scm cloudera-scm 35308 Oct 4 2017
>> COPYING.hadoop-lzo
>> -rw-r--r-- 1 cloudera-scm cloudera-scm 62268 Oct 4 2017
>> hadoop-lzo-0.4.15-cdh5.13.0.jar
>> lrwxrwxrwx 1 cloudera-scm cloudera-scm 31 May 3 07:23 hadoop-lzo.jar
>> -> hadoop-lzo-0.4.15-cdh5.13.0.jar
>> drwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
>>
>>
>>
>>
>> --
>> Take Care
>> Fawze Abujaber
>>
>
>
>
> --
> Take Care
> Fawze Abujaber
>
--
Best Regards,
Ayan Guha
Re: native-lzo library not available
Posted by Fawze Abujaber <fa...@gmail.com>.
Hi Yulia,
Thanks for you response.
i see only lzo only for impala
[root@xxxxxxx ~]# locate *lzo*.so*
/opt/cloudera/parcels/GPLEXTRAS-5.13.0-1.cdh5.13.0.p0.29/lib/impala/lib/libimpalalzo.so
/usr/lib64/liblzo2.so.2
/usr/lib64/liblzo2.so.2.0.0
the /opt/cloudera/parcels/GPLEXTRAS-5.13.0-1.cdh5.13.0.p0.29/lib/hadoop/lib/native
has :
-rwxr-xr-x 1 cloudera-scm cloudera-scm 22918 Oct 4 2017
libgplcompression.a
-rwxr-xr-x 1 cloudera-scm cloudera-scm 1204 Oct 4 2017
libgplcompression.la
-rwxr-xr-x 1 cloudera-scm cloudera-scm 1205 Oct 4 2017
libgplcompression.lai
-rwxr-xr-x 1 cloudera-scm cloudera-scm 15760 Oct 4 2017
libgplcompression.so
-rwxr-xr-x 1 cloudera-scm cloudera-scm 15768 Oct 4 2017
libgplcompression.so.0
-rwxr-xr-x 1 cloudera-scm cloudera-scm 15768 Oct 4 2017
libgplcompression.so.0.0.0
and /opt/cloudera/parcels/GPLEXTRAS-5.13.0-1.cdh5.13.0.p0.29/lib/spark-netlib/lib
has:
-rw-r--r-- 1 cloudera-scm cloudera-scm 8673 Oct 4 2017
jniloader-1.1.jar
-rw-r--r-- 1 cloudera-scm cloudera-scm 53249 Oct 4 2017
native_ref-java-1.1.jar
-rw-r--r-- 1 cloudera-scm cloudera-scm 53295 Oct 4 2017
native_system-java-1.1.jar
-rw-r--r-- 1 cloudera-scm cloudera-scm 1732268 Oct 4 2017
netlib-native_ref-linux-x86_64-1.1-natives.jar
-rw-r--r-- 1 cloudera-scm cloudera-scm 446694 Oct 4 2017
netlib-native_system-linux-x86_64-1.1-natives.jar
Note: The issue occuring only with the spark job, mapreduce job working
fine.
On Thu, May 3, 2018 at 9:17 PM, yuliya Feldman <yu...@yahoo.com> wrote:
> Jar is not enough, you need native library (*.so) - see if your "native"
> directory contains it
>
> drwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
>
> and whether java.library.path or LD_LIBRARY_PATH points/includes
> directory where your *.so library resides
>
> On Thursday, May 3, 2018, 5:06:35 AM PDT, Fawze Abujaber <
> fawzeaj@gmail.com> wrote:
>
>
> Hi Guys,
>
> I'm running into issue where my spark jobs are failing on the below error,
> I'm using Spark 1.6.0 with CDH 5.13.0.
>
> I tried to figure it out with no success.
>
> Will appreciate any help or a direction how to attack this issue.
>
> User class threw exception: org.apache.spark.SparkException: Job aborted
> due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent
> failure: Lost task 0.3 in stage 1.0 (TID 3, xxxxxx, executor 1): *java.lang.RuntimeException:
> native-lzo library not available*
> *at
> com.hadoop.compression.lzo.LzoCodec.getDecompressorType(LzoCodec.java:193)*
> at org.apache.hadoop.io.compress.CodecPool.getDecompressor(
> CodecPool.java:181)
> at org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1995)
> at org.apache.hadoop.io.SequenceFile$Reader.initialize(SequenceFile.java:
> 1881)
> at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1830)
> at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1844)
> at org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.
> initialize(SequenceFileRecordReader.java:54)
> at com.liveperson.dallas.lp.utils.incremental.
> DallasGenericTextFileRecordReader.initialize(
> DallasGenericTextFileRecordReader.java:64)
> at com.liveperson.hadoop.fs.inputs.LPCombineFileRecordReaderWrapp
> er.initialize(LPCombineFileRecordReaderWrapper.java:38)
> at org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.
> initialize(CombineFileRecordReader.java:63)
> at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(
> NewHadoopRDD.scala:168)
> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:133)
> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:65)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(
> MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(
> MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(
> MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(
> ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(
> ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(
> ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(
> ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
>
>
>
> I see the LZO at GPextras:
>
> ll
> total 104
> -rw-r--r-- 1 cloudera-scm cloudera-scm 35308 Oct 4 2017
> COPYING.hadoop-lzo
> -rw-r--r-- 1 cloudera-scm cloudera-scm 62268 Oct 4 2017
> hadoop-lzo-0.4.15-cdh5.13.0.jar
> lrwxrwxrwx 1 cloudera-scm cloudera-scm 31 May 3 07:23 hadoop-lzo.jar
> -> hadoop-lzo-0.4.15-cdh5.13.0.jar
> drwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
>
>
>
>
> --
> Take Care
> Fawze Abujaber
>
--
Take Care
Fawze Abujaber
Re: native-lzo library not available
Posted by yuliya Feldman <yu...@yahoo.com.INVALID>.
Jar is not enough, you need native library (*.so) - see if your "native" directory contains it
drwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
and whether java.library.path or LD_LIBRARY_PATH points/includes directory where your *.so library resides
On Thursday, May 3, 2018, 5:06:35 AM PDT, Fawze Abujaber <fa...@gmail.com> wrote:
Hi Guys,
I'm running into issue where my spark jobs are failing on the below error, I'm using Spark 1.6.0 with CDH 5.13.0.
I tried to figure it out with no success.
Will appreciate any help or a direction how to attack this issue.
User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 3, xxxxxx, executor 1): java.lang.RuntimeException: native-lzo library not availableat com.hadoop.compression.lzo.LzoCodec.getDecompressorType(LzoCodec.java:193)at org.apache.hadoop.io.compress.CodecPool.getDecompressor(CodecPool.java:181)at org.apache.hadoop.io.SequenceFile$Reader.init(SequenceFile.java:1995)at org.apache.hadoop.io.SequenceFile$Reader.initialize(SequenceFile.java:1881)at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1830)at org.apache.hadoop.io.SequenceFile$Reader.<init>(SequenceFile.java:1844)at org.apache.hadoop.mapreduce.lib.input.SequenceFileRecordReader.initialize(SequenceFileRecordReader.java:54)at com.liveperson.dallas.lp.utils.incremental.DallasGenericTextFileRecordReader.initialize(DallasGenericTextFileRecordReader.java:64)at com.liveperson.hadoop.fs.inputs.LPCombineFileRecordReaderWrapper.initialize(LPCombineFileRecordReaderWrapper.java:38)at org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader.initialize(CombineFileRecordReader.java:63)at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:168)at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:133)at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:65)at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)at org.apache.spark.scheduler.Task.run(Task.scala:89)at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)at java.lang.Thread.run(Thread.java:745)Driver stacktrace:
I see the LZO at GPextras:
lltotal 104-rw-r--r-- 1 cloudera-scm cloudera-scm 35308 Oct 4 2017 COPYING.hadoop-lzo-rw-r--r-- 1 cloudera-scm cloudera-scm 62268 Oct 4 2017 hadoop-lzo-0.4.15-cdh5.13.0.jarlrwxrwxrwx 1 cloudera-scm cloudera-scm 31 May 3 07:23 hadoop-lzo.jar -> hadoop-lzo-0.4.15-cdh5.13.0.jardrwxr-xr-x 2 cloudera-scm cloudera-scm 4096 Oct 4 2017 native
--
Take CareFawze Abujaber