bq. hbase.bulkload.retries.retryOnIOException is disabled. Unable to recover
The above is from HBASE-17165.
See if the load can pass after enabling the config.
On Wed, Sep 6, 2017 at 3:11 PM, Sriram Nookala wrote:
> It finally times out with these exceptions
>
> ed Sep
It finally times out with these exceptions
ed Sep 06 21:38:07 UTC 2017,
RpcRetryingCaller{globalStartTime=1504731276347, pause=100, retries=35},
java.io.IOException: Call to ip-10-123-0-60.ec2.internal/10.123.0.60:16020
failed on local exception:
org.apache.hadoop.hbase.ipc.CallTimeoutException:
Phoenix 4.11.0, HBase 1.3.1
This is what I get from jstack
"main" #1 prio=5 os_prio=0 tid=0x7fb3d0017000 nid=0x5de7 waiting on
condition [0x7fb3d75f7000]
java.lang.Thread.State: WAITING (parking)
at sun.misc.Unsafe.park(Native Method)
- parking to wait for <0xf588> (a
Do you have more details on the version of Phoenix/HBase you are using as
well as how it hangs (Exceptions/messages that may help to understand the
problem)?
Thanks,
Sergey
On Wed, Sep 6, 2017 at 1:13 PM, Sriram Nookala wrote:
> I'm trying to load a 3.5G file with 60
I'm trying to load a 3.5G file with 60 million rows using CsvBulkLoadTool.
It hangs while loading HFiles. This runs successfully if I split this into
2 files, but I'd like to avoid doing that. This is on Amazon EMR, is this
an issue due to disk space or memory. I have a single master and 2 region
I'm still trying to set those up in Amazon EMR. However, setting the `
phoenix.query.dateFormatTimeZone` wouldn't fix the issue for all files
since we could receive a different date format in some other type of files.
Is there an option to write a custom mapper to transform the date?
On Tue, Sep
Hi Sumanta,
Here you have the answer. You already asked the same question some months
ago :)
https://mail-archives.apache.org/mod_mbox/phoenix-user/201705.mbox/browser
>From 4.8
regards,
rafa
On Wed, Sep 6, 2017 at 9:19 AM, Sumanta Gh wrote:
> Hi,
> From which version of
Hi,
>From which version of Phoenix pagination with OFFSET is supported. It seems
>this is not supported in 4.7
https://phoenix.apache.org/paged.html
regards,
Sumanta
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Hi Hef,
Have you had a chance to read our Tuning Guide [1] yet? There's a lot of
good, general guidance there. There are some optimizations for write
performance that depend on how you expect/allow your data and schema to
change:
1) Is your data write-once? Make sure to declare your table with the