@Hao,As you said, there is no advantage feature for JDBC, it just provides unified api to support different data sources. Is it right?
On Friday, May 15, 2015 2:46 PM, "Cheng, Hao" <hao.ch...@intel.com> wrote: #yiv2822675239 #yiv2822675239 -- _filtered #yiv2822675239 {font-family:Helvetica;panose-1:2 11 6 4 2 2 2 2 2 4;} _filtered #yiv2822675239 {font-family:宋体;panose-1:2 1 6 0 3 1 1 1 1 1;} _filtered #yiv2822675239 {panose-1:2 4 5 3 5 4 6 3 2 4;} _filtered #yiv2822675239 {font-family:Calibri;panose-1:2 15 5 2 2 2 4 3 2 4;} _filtered #yiv2822675239 {panose-1:2 1 6 0 3 1 1 1 1 1;}#yiv2822675239 #yiv2822675239 p.yiv2822675239MsoNormal, #yiv2822675239 li.yiv2822675239MsoNormal, #yiv2822675239 div.yiv2822675239MsoNormal {margin:0cm;margin-bottom:.0001pt;font-size:12.0pt;}#yiv2822675239 a:link, #yiv2822675239 span.yiv2822675239MsoHyperlink {color:#0563C1;text-decoration:underline;}#yiv2822675239 a:visited, #yiv2822675239 span.yiv2822675239MsoHyperlinkFollowed {color:#954F72;text-decoration:underline;}#yiv2822675239 span.yiv2822675239EmailStyle17 {color:#1F497D;}#yiv2822675239 .yiv2822675239MsoChpDefault {font-size:10.0pt;} _filtered #yiv2822675239 {margin:72.0pt 90.0pt 72.0pt 90.0pt;}#yiv2822675239 div.yiv2822675239WordSection1 {}#yiv2822675239 Spark SQL just take the JDBC as a new data source, the same as we need to support loading data from a .csv or .json. From: Yi Zhang [mailto:zhangy...@yahoo.com.INVALID] Sent: Friday, May 15, 2015 2:30 PM To: User Subject: What's the advantage features of Spark SQL(JDBC) Hi All, Comparing direct access via JDBC, what's the advantage features of Spark SQL(JDBC) to access external data source? Any tips are welcome! Thanks. Regards, Yi