Hi, We released a package called LLQL, which is a serialization of operators of relational algebra. Spark SQL Plan is the first one supported.
More interesting to the spark community probably is our test that implements TPCH. We manually rewrote some sql -- mainly pulling subqueries out and converted them into joins. From the executor's point of view, spark seems to work quite well. However, there are several expression parsing or algbraization issues, notably Q22, Q6, Q7, Q9. Q2 will go OOM, and sometimes Q9 as well. We are excited about Tungsten project and looking forward to the 1.5 release. We are running on Spark 1.4.0, prebuilt with Hadoop 2.6. Links to the github and the tests, https://github.com/vitesse-ftian/quark https://github.com/vitesse-ftian/quark/blob/master/examples/src/com/vitessedata/examples/quark/Tpch.scala Have fun with test and timing :-) Thanks, Feng
