Hi, Sanjeev,
I think that I did precisely that, can you please download my ipython
notebook and have a look, and let me know where I am going wrong. its
attached with the JIRA ticket.
Regards,
Gourav Sengupta
On Tue, Jun 30, 2020 at 1:42 PM Sanjeev Mishra <sanjeev.mis...@gmail.com>
wrote:
> There are total 11 files as part of tar. You will have to untar it to get
> to actual files (.json.gz)
>
> No, I am getting
>
> Count: 33447
>
> spark.time(spark.read.json(“/data/small-anon/"))
> Time taken: 431 ms
> res73: org.apache.spark.sql.DataFrame = [created: bigint, id: string ... 2
> more fields]
>
> scala> res73.count()
> res74: Long = 33447
>
> ls -ltr
> total 7592
> -rw-r--r-- 1 sanjeevmishra staff 132413 Jun 29 08:40
> part-00010-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 272767 Jun 29 08:40
> part-00009-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 272314 Jun 29 08:40
> part-00008-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 277158 Jun 29 08:40
> part-00007-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 321451 Jun 29 08:40
> part-00006-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 331419 Jun 29 08:40
> part-00005-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 337195 Jun 29 08:40
> part-00004-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 366346 Jun 29 08:40
> part-00003-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 423154 Jun 29 08:40
> part-00002-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 458187 Jun 29 08:40
> part-00000-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 673836 Jun 29 08:40
> part-00001-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz
> -rw-r--r-- 1 sanjeevmishra staff 0 Jun 29 08:40 _SUCCESS
>
> On Jun 30, 2020, at 5:37 AM, Gourav Sengupta <gourav.sengu...@gmail.com>
> wrote:
>
> Hi Sanjeev,
> that just gives 11 records from the sample that you have loaded to the
> JIRA tickets is it correct?
>
>
> Regards,
> Gourav Sengupta
>
> On Tue, Jun 30, 2020 at 1:25 PM Sanjeev Mishra <sanjeev.mis...@gmail.com>
> wrote:
>
>> There is not much code, I am just using spark-shell and reading the data
>> like so
>>
>> spark.time(spark.read.json("/data/small-anon/"))
>>
>> On Jun 30, 2020, at 3:53 AM, Gourav Sengupta <gourav.sengu...@gmail.com>
>> wrote:
>>
>> Hi Sanjeev,
>>
>> can you share the exact code that you are using to read the JSON files?
>> Currently I am getting only 11 records from the tar file that you have
>> attached with JIRA.
>>
>> Regards,
>> Gourav Sengupta
>>
>> On Mon, Jun 29, 2020 at 5:46 PM ArtemisDev <arte...@dtechspace.com>
>> wrote:
>>
>>> According to the spec, in addition to the line breaks, you should also
>>> put the nested object values in arrays instead of dictionaries. You may
>>> want to give a try and see if this would give you a better performance.
>>>
>>> Nevertheless, this still doesn't explain why Spark 2.4.6 outperforms
>>> 3.0. Hope the Databricks engineers will find an answer or bug fix soon.
>>>
>>> -- ND
>>> On 6/29/20 12:27 PM, Sanjeev Mishra wrote:
>>>
>>> The tar file that I have attached has bunch of json.zip files and this
>>> is the file that is being processed. Each line is self contained JSON as
>>> shown below
>>>
>>> zcat < part-00010-2558524a-1a1f-4f14-b027-4276a8143194-c000.json.gz |
>>>>> head -3
>>>>
>>>> {"id":"954e7819e91a11e981f60050569979b6","created":1570463599492,"properties":{"WANAccessType":"2","deviceClassifiers":["ARRIS
>>>>> HNC IGD","Annex F
>>>>> Gateway","Supports.Collect.Optimized.Workflow","Fast.Inform","Supports.TR98.Traceroute","InternetGatewayDevice:1.4","Motorola.ServiceType.IP","Supports
>>>>> Arris FastPath Speed
>>>>> Test","Arris.NVG468MQ.9.3.0h0","Wireless.Common.IGD.DualRadio","001E46.NVG468MQ.Is.WANIP","Device.Supports.HNC","Device.Type.RG","
>>>>> Arris.NVG4xx.Missing.CA
>>>>> <http://arris.nvg4xx.missing.ca/>","Supports.TR98.IPPing","Arris.NVG468MQ.9.3.0+","Wireless","ARRIS
>>>>> HNC IGD
>>>>> EUROPA","Arris.NVG.Wireless","WLAN.Radios.Action.Common.TR098","VoiceService:1.0","ConnecticutDeviceTypes","Device.Supports.SpeedTest","Motorola.Device.Supports.VoIP","Arris.NVG468MQ","Motorola.device","CaptivePortal:1","Arris.NVG4xx","All.TR069.RG.Devices","TraceRoute:1","Arris.NVG4xx.9.3.0+","datamodel.igd","Arris.NVG4xxQ","IPPing:1","Device.ServiceType.IP","001E46.NVG468MQ.Is.WANEth","Arris.NVG468MQ.9.2.4+","broken.device.no.notification"],"deviceType":"IGD","firstInform":"1570463619543","groups":["Self-Service
>>>>> Diagnostics","SLF-SRVC_DGNSTCS000","TCW - NVG4xx - First
>>>>> Contact"],"hardwareVersion":"NVG468MQ_0200240031004E","hncEnable":"0","lastBoot":"1587765844155","lastInform":"1590624062260","lastPeriodic":"1590624062260","manufacturerName":"Motorola","modelName":"NVG468MQ","productClass":"NVG468MQ","protocolVersion":"cwmp10","provisioningCode":"","softwareVersion":"9.3.0h0d55","tags":["default"],"timeZone":"EST+5EDT,M3.2.0/2,M11.1.0/2","wan":{"ethDuplexMode":"Full","ethSyncBitRate":"1000"},"wifi":[{"0":{"Enable":"1","SSID":"Frontier3136","SSIDAdvertisementEnabled":"1"},"1":{"Enable":"0","SSID":"Guest3136","SSIDAdvertisementEnabled":"1"},"2":{"Enable":"0","SSID":"Frontier3136_D2","SSIDAdvertisementEnabled":"1"},"3":{"Enable":"0","SSID":"Frontier3136_D3","SSIDAdvertisementEnabled":"1"},"4":{"Enable":"1","SSID":"Frontier3136_5G","SSIDAdvertisementEnabled":"1"},"5":{"Enable":"0","SSID":"Guest3136_5G","SSIDAdvertisementEnabled":"1"},"6":{"Enable":"1","SSID":"Frontier3136_5G-TV","SSIDAdvertisementEnabled":"0"},"7":{"Enable":"0","SSID":"Frontier3136_5G_D2","SSIDAdvertisementEnabled":"1"}}]},"ts":1590624062260}
>>>>
>>>> {"id":"bf0448736d09e2e677ea383ef857d5bc","created":1517843609967,"properties":{"WANAccessType":"2","arrisNvgDbCheck":"1:success","deviceClassifiers":["ARRIS
>>>>> HNC IGD","Annex F
>>>>> Gateway","Supports.Collect.Optimized.Workflow","Fast.Inform","InternetGatewayDevice:1.4","Supports.TR98.Traceroute","Supports
>>>>> Arris FastPath Speed
>>>>> Test","Motorola.ServiceType.IP","Arris.NVG468MQ.9.3.0h0","Wireless.Common.IGD.DualRadio","001E46.NVG468MQ.Is.WANIP","Device.Supports.HNC","Device.Type.RG","
>>>>> Arris.NVG4xx.Missing.CA
>>>>> <http://arris.nvg4xx.missing.ca/>","Supports.TR98.IPPing","Arris.NVG468MQ.9.3.0+","Wireless","ARRIS
>>>>> HNC IGD
>>>>> EUROPA","Arris.NVG.Wireless","VoiceService:1.0","WLAN.Radios.Action.Common.TR098","ConnecticutDeviceTypes","Device.Supports.SpeedTest","Motorola.Device.Supports.VoIP","Arris.NVG468MQ","Motorola.device","CaptivePortal:1","Arris.NVG4xx","All.TR069.RG.Devices","TraceRoute:1","Arris.NVG4xx.9.3.0+","datamodel.igd","Arris.NVG4xxQ","IPPing:1","Device.ServiceType.IP","001E46.NVG468MQ.Is.WANEth","Arris.NVG468MQ.9.2.4+","broken.device.no.notification"],"deviceType":"IGD","firstInform":"1517843629132","groups":["Total
>>>>> Control","GPON_100M_100M","Self-Service
>>>>> Diagnostics","HSI","SLF-SRVC_DGNSTCS000","HS002","TTL_CNTRL000","GPN_100M_100M001"],"hardwareVersion":"NVG468MQ_0200240031004E","hncEnable":"0","lastBoot":"1590196375084","lastInform":"1590624060253","lastPeriodic":"1590624060253","manufacturerName":"Motorola","modelName":"NVG468MQ","productClass":"NVG468MQ","protocolVersion":"cwmp10","provisioningCode":"","softwareVersion":"9.3.0h0d55","tags":["default"],"timeZone":"EST+5EDT,M3.2.0/2,M11.1.0/2","wan":{"ethDuplexMode":"Full","ethSyncBitRate":"1000"},"wifi":[{"0":{"Enable":"1","SSID":"NE-TB12-GOAT-2G","SSIDAdvertisementEnabled":"1"},"1":{"Enable":"1","SSID":"TP-Link_extender_2.4GHz","SSIDAdvertisementEnabled":"1"},"2":{"Enable":"0","SSID":"Frontier5360_D2","SSIDAdvertisementEnabled":"1"},"3":{"Enable":"0","SSID":"Frontier5360_D3","SSIDAdvertisementEnabled":"1"},"4":{"Enable":"1","SSID":"NE-TB12-GOAT-5G","SSIDAdvertisementEnabled":"1"},"5":{"Enable":"0","SSID":"Guest5360_5G","SSIDAdvertisementEnabled":"1"},"6":{"Enable":"1","SSID":"Frontier5360_5G-TV","SSIDAdvertisementEnabled":"0"},"7":{"Enable":"0","SSID":"Frontier5360_5G_D2","SSIDAdvertisementEnabled":"1"}}]},"ts":1590624060253}
>>>>
>>>> {"id":"1512b1b8526211e9acf100505699063c","created":1553891682535,"properties":{"WANAccessType":"2","arrisNvgDbCheck":"1:success","deviceClassifiers":["ARRIS
>>>>> HNC IGD","Annex F
>>>>> Gateway","Supports.Collect.Optimized.Workflow","Fast.Inform","InternetGatewayDevice:1.4","Supports.TR98.Traceroute","Motorola.ServiceType.IP","Supports
>>>>> Arris FastPath Speed
>>>>> Test","Arris.NVG468MQ.9.3.0h0","Wireless.Common.IGD.DualRadio","001E46.NVG468MQ.Is.WANIP","Device.Supports.HNC","
>>>>> Arris.NVG4xx.Missing.CA
>>>>> <http://arris.nvg4xx.missing.ca/>","Device.Type.RG","Supports.TR98.IPPing","Arris.NVG468MQ.9.3.0+","Wireless","ARRIS
>>>>> HNC IGD
>>>>> EUROPA","Arris.NVG.Wireless","WLAN.Radios.Action.Common.TR098","VoiceService:1.0","ConnecticutDeviceTypes","Device.Supports.SpeedTest","Motorola.Device.Supports.VoIP","Arris.NVG468MQ","Motorola.device","Arris.NVG4xx","CaptivePortal:1","All.TR069.RG.Devices","TraceRoute:1","Arris.NVG4xx.9.3.0+","datamodel.igd","Arris.NVG4xxQ","IPPing:1","Device.ServiceType.IP","001E46.NVG468MQ.Is.WANEth","Arris.NVG468MQ.9.2.4+","broken.device.no.notification"],"deviceType":"IGD","firstInform":"1553891708717","groups":["Total
>>>>> Control","HSI","Self-Service
>>>>> Diagnostics","SLF-SRVC_DGNSTCS000","HS004","TTL_CNTRL000","TCW - NVG4xx -
>>>>> First Contact","GPON_200M_200M","TCW
>>>>> Enabled","GPN_200M_200M000"],"hardwareVersion":"NVG468MQ_0200240031004E","hncEnable":"1","lastBoot":"1590537703734","lastInform":"1590624061415","lastPeriodic":"1590624061415","manufacturerName":"Motorola","modelName":"NVG468MQ","productClass":"NVG468MQ","protocolVersion":"cwmp10","provisioningCode":"","softwareVersion":"9.3.0h0d55","tags":["default"],"timeZone":"EST+5EDT,M3.2.0/2,M11.1.0/2","wan":{"ethDuplexMode":"Full","ethSyncBitRate":"1000"},"wifi":[{"0":{"Enable":"1","SSID":"Frontier7968","SSIDAdvertisementEnabled":"1"},"1":{"Enable":"0","SSID":"Guest7968","SSIDAdvertisementEnabled":"1"},"2":{"Enable":"0","SSID":"Frontier7968_D2","SSIDAdvertisementEnabled":"1"},"3":{"Enable":"0","SSID":"Frontier7968_D3","SSIDAdvertisementEnabled":"1"},"4":{"Enable":"1","SSID":"Frontier7968","SSIDAdvertisementEnabled":"1"},"5":{"Enable":"0","SSID":"Guest7968_5G","SSIDAdvertisementEnabled":"1"},"6":{"Enable":"1","SSID":"Frontier7968_5G-TV","SSIDAdvertisementEnabled":"0"},"7":{"Enable":"0","SSID":"Frontier7968_5G_D2","SSIDAdvertisementEnabled":"1"}}]},"ts":1590624061415}
>>>>
>>>>
>>> On Mon, Jun 29, 2020 at 9:20 AM ArtemisDev <arte...@dtechspace.com>
>>> wrote:
>>>
>>>> Could you please share your input file instead of output files on that
>>>> ticket? Not sure if you were following the specific file format
>>>> requirement for JSON in Spark. The following is a snippet from the Spark
>>>> online doc:
>>>>
>>>> Note that the file that is offered as *a json file* is not a typical
>>>> JSON file. Each line must contain a separate, self-contained valid JSON
>>>> object. For more information, please see JSON Lines text format, also
>>>> called newline-delimited JSON <http://jsonlines.org/>.
>>>>
>>>> For a regular multi-line JSON file, set the multiLine option to true.
>>>>
>>>> -- ND
>>>> On 6/29/20 11:55 AM, Sanjeev Mishra wrote:
>>>>
>>>> Done. https://issues.apache.org/jira/browse/SPARK-32130
>>>>
>>>>
>>>>
>>>> On Mon, Jun 29, 2020 at 8:21 AM Maxim Gekk <maxim.g...@databricks.com>
>>>> wrote:
>>>>
>>>>> Hello Sanjeev,
>>>>>
>>>>> It is hard to troubleshoot the issue without input files. Could you
>>>>> open an JIRA ticket at https://issues.apache.org/jira/projects/SPARK and
>>>>> attach the JSON files there (or samples or code which generates JSON
>>>>> files)?
>>>>>
>>>>> Maxim Gekk
>>>>> Software Engineer
>>>>> Databricks, Inc.
>>>>>
>>>>>
>>>>> On Mon, Jun 29, 2020 at 6:12 PM Sanjeev Mishra <
>>>>> sanjeev.mis...@gmail.com> wrote:
>>>>>
>>>>>> It has read everything. As you notice the timing of count is still
>>>>>> smaller in Spark 2.4
>>>>>>
>>>>>> Spark 2.4
>>>>>>
>>>>>> scala> spark.time(spark.read.json("/data/20200528"))
>>>>>> Time taken: 19691 ms
>>>>>> res61: org.apache.spark.sql.DataFrame = [created: bigint, id: string
>>>>>> ... 5 more fields]
>>>>>>
>>>>>> scala> spark.time(res61.count())
>>>>>> Time taken: 7113 ms
>>>>>> res64: Long = 2605349
>>>>>>
>>>>>> Spark 3.0
>>>>>> scala> spark.time(spark.read.json("/data/20200528"))
>>>>>> 20/06/29 08:06:53 WARN package: Truncated the string representation
>>>>>> of a plan since it was too large. This behavior can be adjusted by
>>>>>> setting
>>>>>> 'spark.sql.debug.maxToStringFields'.
>>>>>> Time taken: 849652 ms
>>>>>> res0: org.apache.spark.sql.DataFrame = [created: bigint, id: string
>>>>>> ... 5 more fields]
>>>>>>
>>>>>> scala> spark.time(res0.count())
>>>>>> Time taken: 8201 ms
>>>>>> res2: Long = 2605349
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Mon, Jun 29, 2020 at 7:45 AM ArtemisDev <arte...@dtechspace.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Could you share your code? Are you sure you Spark 2.4 cluster had
>>>>>>> indeed read anything? Looks like the Input size field is empty under
>>>>>>> 2.4.
>>>>>>>
>>>>>>> -- ND
>>>>>>> On 6/27/20 7:58 PM, Sanjeev Mishra wrote:
>>>>>>>
>>>>>>>
>>>>>>> I have large amount of json files that Spark can read in 36 seconds
>>>>>>> but Spark 3.0 takes almost 33 minutes to read the same. On closer
>>>>>>> analysis,
>>>>>>> looks like Spark 3.0 is choosing different DAG than Spark 2.0. Does
>>>>>>> anyone
>>>>>>> have any idea what is going on? Is there any configuration problem with
>>>>>>> Spark 3.0.
>>>>>>>
>>>>>>> Here are the details:
>>>>>>>
>>>>>>> *Spark 2.4*
>>>>>>>
>>>>>>> Summary Metrics for 2203 Completed Tasks
>>>>>>> <http://10.0.0.8:4040/stages/stage/?id=0&attempt=0#tasksTitle>
>>>>>>> Metric Min 25th percentile Median 75th percentile Max
>>>>>>> Duration 0.0 ms 0.0 ms 0.0 ms 1.0 ms 62.0 ms
>>>>>>> GC Time 0.0 ms 0.0 ms 0.0 ms 0.0 ms 11.0 ms
>>>>>>> Showing 1 to 2 of 2 entries
>>>>>>> Aggregated Metrics by Executor
>>>>>>> Show 20 40 60 100 All entries
>>>>>>> Search:
>>>>>>> Executor ID Logs Address Task Time Total Tasks Failed Tasks Killed
>>>>>>> Tasks Succeeded Tasks Blacklisted
>>>>>>> driver
>>>>>>> 10.0.0.8:49159 36 s 2203 0 0 2203 false
>>>>>>>
>>>>>>>
>>>>>>> *Spark 3.0*
>>>>>>>
>>>>>>> Summary Metrics for 8 Completed Tasks
>>>>>>> <http://10.0.0.8:4040/stages/stage/?id=1&attempt=0&task.eventTimelinePageNumber=1&task.eventTimelinePageSize=47#tasksTitle>
>>>>>>> Metric Min 25th percentile Median 75th percentile Max
>>>>>>> Duration 3.8 min 4.0 min 4.1 min 4.4 min 5.0 min
>>>>>>> GC Time 3 s 3 s 3 s 4 s 4 s
>>>>>>> Input Size / Records 15.6 MiB / 51028 16.2 MiB / 53303 16.8 MiB /
>>>>>>> 55259 17.8 MiB / 58148 20.2 MiB / 71624
>>>>>>> Showing 1 to 3 of 3 entries
>>>>>>> Aggregated Metrics by Executor
>>>>>>> Show 20 40 60 100 All entries
>>>>>>> Search:
>>>>>>> Executor ID Logs Address Task Time Total Tasks Failed Tasks Killed
>>>>>>> Tasks Succeeded Tasks Blacklisted Input Size / Records
>>>>>>> driver
>>>>>>> 10.0.0.8:50224 33 min 8 0 0 8 false 136.1 MiB / 451999
>>>>>>>
>>>>>>>
>>>>>>> The DAG is also different
>>>>>>> Spark 2.0 DAG
>>>>>>>
>>>>>>> <Screenshot 2020-06-27 16.30.26.png>
>>>>>>>
>>>>>>> Spark 3.0 DAG
>>>>>>>
>>>>>>> <Screenshot 2020-06-27 16.32.32.png>
>>>>>>>
>>>>>>>
>>>>>>>
>>
>
