I'm waiting for a few last fixes to be merged. Hoping to cut an RC in the next few days.
On Tue, Feb 2, 2016 at 10:43 AM, Mingyu Kim <m...@palantir.com> wrote: > Hi all, > > Is there an estimated timeline for 1.6.1 release? Just wanted to check how > the release is coming along. Thanks! > > Mingyu > > From: Romi Kuntsman <r...@totango.com> > Date: Tuesday, February 2, 2016 at 3:16 AM > To: Michael Armbrust <mich...@databricks.com> > Cc: Hamel Kothari <hamelkoth...@gmail.com>, Ted Yu <yuzhih...@gmail.com>, > "dev@spark.apache.org" <dev@spark.apache.org> > Subject: Re: Spark 1.6.1 > > Hi Michael, > What about the memory leak bug? > https://issues.apache.org/jira/browse/SPARK-11293 > <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_browse_SPARK-2D11293&d=CwMFaQ&c=izlc9mHr637UR4lpLEZLFFS3Vn2UXBrZ4tFb6oOnmz8&r=ennQJq47pNnObsDh-88a9YUrUulcYQoV8giPASqXB84&m=tI8Pjfii7XuX3Suiky8mImD7S5BoAq6fgOSdJ7rt2Wo&s=R_B4rDig-0VPE5Q4YeLEs2HUIg-A8St1OtDjD89d_zY&e=> > Even after the memory rewrite in 1.6.0, it still happens in some cases. > Will it be fixed for 1.6.1? > Thanks, > > *Romi Kuntsman*, * Big Data Engineer* > http://www.totango.com > <https://urldefense.proofpoint.com/v2/url?u=http-3A__www.totango.com_&d=CwMFaQ&c=izlc9mHr637UR4lpLEZLFFS3Vn2UXBrZ4tFb6oOnmz8&r=ennQJq47pNnObsDh-88a9YUrUulcYQoV8giPASqXB84&m=tI8Pjfii7XuX3Suiky8mImD7S5BoAq6fgOSdJ7rt2Wo&s=Z4TgGF0h7oetD4O6u_3qjrYbe0ZtW2g_In7V8tkByPg&e=> > > On Mon, Feb 1, 2016 at 9:59 PM, Michael Armbrust <mich...@databricks.com> > wrote: > >> We typically do not allow changes to the classpath in maintenance >> releases. >> >> On Mon, Feb 1, 2016 at 8:16 AM, Hamel Kothari <hamelkoth...@gmail.com> >> wrote: >> >>> I noticed that the Jackson dependency was bumped to 2.5 in master for >>> something spark-streaming related. Is there any reason that this upgrade >>> can't be included with 1.6.1? >>> >>> According to later comments on this thread: >>> https://issues.apache.org/jira/browse/SPARK-8332 >>> <https://urldefense.proofpoint.com/v2/url?u=https-3A__issues.apache.org_jira_browse_SPARK-2D8332&d=CwMFaQ&c=izlc9mHr637UR4lpLEZLFFS3Vn2UXBrZ4tFb6oOnmz8&r=ennQJq47pNnObsDh-88a9YUrUulcYQoV8giPASqXB84&m=tI8Pjfii7XuX3Suiky8mImD7S5BoAq6fgOSdJ7rt2Wo&s=i-ngQFHfxOmgkYx_5NiCaHdIlm7zi2LYpUxm9I3RfR4&e=> >>> and my personal experience using with Spark with Jackson 2.5 hasn't caused >>> any issues but it does have some useful new features. It should be fully >>> backwards compatible according to the Jackson folks. >>> >>> On Mon, Feb 1, 2016 at 10:29 AM Ted Yu <yuzhih...@gmail.com> wrote: >>> >>>> SPARK-12624 has been resolved. >>>> According to Wenchen, SPARK-12783 is fixed in 1.6.0 release. >>>> >>>> Are there other blockers for Spark 1.6.1 ? >>>> >>>> Thanks >>>> >>>> On Wed, Jan 13, 2016 at 5:39 PM, Michael Armbrust < >>>> mich...@databricks.com> wrote: >>>> >>>>> Hey All, >>>>> >>>>> While I'm not aware of any critical issues with 1.6.0, there are >>>>> several corner cases that users are hitting with the Dataset API that are >>>>> fixed in branch-1.6. As such I'm considering a 1.6.1 release. >>>>> >>>>> At the moment there are only two critical issues targeted for 1.6.1: >>>>> - SPARK-12624 - When schema is specified, we should treat undeclared >>>>> fields as null (in Python) >>>>> - SPARK-12783 - Dataset map serialization error >>>>> >>>>> When these are resolved I'll likely begin the release process. If >>>>> there are any other issues that we should wait for please contact me. >>>>> >>>>> Michael >>>>> >>>> >>>> >> >