3 files changed, 89 insertions, 0 deletions
diff --git a/scalding/src/main/scala/example/SimpleHBaseSourceExample.scala b/scalding/src/main/scala/example/SimpleHBaseSourceExample.scala
new file mode 100644
index 0000000..fe2a120
--- /dev/null
+++ b/scalding/src/main/scala/example/SimpleHBaseSourceExample.scala
@@ -0,0 +1,36 @@
+package example
+
+import com.twitter.scalding.{Tsv, Args}
+import parallelai.spyglass.base.JobBase
+import org.apache.log4j.{Level, Logger}
+import parallelai.spyglass.hbase.{HBasePipeConversions, HBaseSource}
+import parallelai.spyglass.hbase.HBaseConstants.SourceMode
+import cascading.tuple.Fields
+import cascading.property.AppProps
+import java.util.Properties
+
+/**
+  * Simple example of HBaseSource usage
+  */
+class SimpleHBaseSourceExample(args: Args) extends JobBase(args) with HBasePipeConversions {
+
+   val isDebug: Boolean = args("debug").toBoolean
+
+   if (isDebug) Logger.getRootLogger.setLevel(Level.DEBUG)
+
+   val output = args("output")
+
+   val hbs = new HBaseSource(
+     "table_name",
+     //"quorum_name:2181",
+     "mtrcs-zk1.us.archive.org:2181",  // HBase Zookeeper server (to get runtime config info; can be array?)
+     new Fields("key"),
+     List("column_family"),
+     List(new Fields("column_name1", "column_name2")),
+     sourceMode = SourceMode.GET_LIST, keyList = List("1", "2", "3"))
+     .read
+     .debug
+     .fromBytesWritable(new Fields("key", "column_name1", "column_name2"))
+     .write(Tsv(output format "get_list"))
+
+ }
diff --git a/scalding/src/main/scala/example/WordCountJob.scala b/scalding/src/main/scala/example/WordCountJob.scala
new file mode 100644
index 0000000..0e63fed
--- /dev/null
+++ b/scalding/src/main/scala/example/WordCountJob.scala
@@ -0,0 +1,12 @@
+package example
+
+import com.twitter.scalding._
+
+class WordCountJob(args: Args) extends Job(args) {
+  TypedPipe.from(TextLine(args("input")))
+    .flatMap { line => line.split("\\s+") }
+    .map { word => (word, 1L) }
+    .sumByKey
+    // The compiler will enforce the type coming out of the sumByKey is the same as the type we have for our sink
+    .write(TypedTsv[(String, Long)](args("output")))
+}
diff --git a/scalding/src/main/scala/sandcrawler/HBaseRowCountJob.scala b/scalding/src/main/scala/sandcrawler/HBaseRowCountJob.scala
new file mode 100644
index 0000000..5df6b2e
--- /dev/null
+++ b/scalding/src/main/scala/sandcrawler/HBaseRowCountJob.scala
@@ -0,0 +1,41 @@
+package sandcrawler
+
+import com.twitter.scalding._
+import parallelai.spyglass.base.JobBase
+import parallelai.spyglass.hbase.{HBaseSource, HBasePipeConversions, HBaseConstants}
+import parallelai.spyglass.hbase.HBaseConstants.SourceMode
+import cascading.tuple.Fields
+import cascading.property.AppProps
+import java.util.Properties
+
+
+class HBaseRowCountJob(args: Args) extends JobBase(args) with HBasePipeConversions {
+
+
+  // For now doesn't actually count, just dumps a "word count"
+
+  val output = args("output")
+
+  val hbs = new HBaseSource(
+    //"table_name",
+    //"quorum_name:2181",
+    "wbgrp-journal-extract-0-qa",     // HBase Table Name
+    "mtrcs-zk1.us.archive.org:2181",  // HBase Zookeeper server (to get runtime config info; can be array?)
+    new Fields("key"),
+    List("file"),
+    List(new Fields("size", "mimetype")),
+    sourceMode = SourceMode.GET_LIST, keyList = List("sha1:K2DKSSVTXWPRMFDTWSTCQW3RVWRIOV3Q", "sha1:C3YNNEGH5WAG5ZAAXWAEBNXJWT6CZ3WU"))
+    .read
+    .debug
+    .fromBytesWritable(new Fields("key"))
+    .write(Tsv(output format "get_list"))
+
+    /*
+    List("column_family"),
+    sourceMode = SourceMode.SCAN_ALL)
+    .read
+    .debug
+    .fromBytesWritable(new Fields("key"))
+    .write(Tsv(output format "get_list"))
+    */
+}