2 files changed, 10 insertions, 10 deletions
diff --git a/scalding/src/main/scala/sandcrawler/GrobidScorable.scala b/scalding/src/main/scala/sandcrawler/GrobidScorable.scala
index d7a1eea..e510f75 100644
--- a/scalding/src/main/scala/sandcrawler/GrobidScorable.scala
+++ b/scalding/src/main/scala/sandcrawler/GrobidScorable.scala
@@ -24,10 +24,10 @@ class GrobidScorable extends Scorable with HBasePipeConversions {
     getSource(args)
       .read
       // Can't just "fromBytesWritable" because we have multiple types?
-      .toTypedPipe[(ImmutableBytesWritable,ImmutableBytesWritable,ImmutableBytesWritable)](new Fields("key", "tei_json", "status_code"))
-      .filter { case (_, tei_json, status_code) => tei_json != null && status_code != null }
-      .map { case (key, tei_json, status_code) =>
-        (Bytes.toString(key.copyBytes()), Bytes.toString(tei_json.copyBytes()), Bytes.toLong(status_code.copyBytes()))
+      .toTypedPipe[(ImmutableBytesWritable,ImmutableBytesWritable,ImmutableBytesWritable)](new Fields("key", "metadata", "status_code"))
+      .filter { case (_, metadata, status_code) => metadata != null && status_code != null }
+      .map { case (key, metadata, status_code) =>
+        (Bytes.toString(key.copyBytes()), Bytes.toString(metadata.copyBytes()), Bytes.toLong(status_code.copyBytes()))
       }
       // TODO: Should I combine next two stages for efficiency?
       .collect { case (key, json, StatusOK) => (key, json) }
@@ -37,7 +37,7 @@ class GrobidScorable extends Scorable with HBasePipeConversions {
 
 object GrobidScorable {
   def getHBaseSource(table : String, host : String) : HBaseSource = {
-    HBaseBuilder.build(table, host, List("grobid0:tei_json", "grobid0:status_code"), SourceMode.SCAN_ALL)
+    HBaseBuilder.build(table, host, List("grobid0:metadata", "grobid0:status_code"), SourceMode.SCAN_ALL)
   }
 
   def jsonToMapFeatures(key : String, json : String) : MapFeatures = {
diff --git a/scalding/src/main/scala/sandcrawler/GrobidScorableDumpJob.scala b/scalding/src/main/scala/sandcrawler/GrobidScorableDumpJob.scala
index 5e06f9b..05e7074 100644
--- a/scalding/src/main/scala/sandcrawler/GrobidScorableDumpJob.scala
+++ b/scalding/src/main/scala/sandcrawler/GrobidScorableDumpJob.scala
@@ -26,13 +26,13 @@ class GrobidScorableDumpJob(args: Args) extends JobBase(args) {
   val pipe = GrobidScorable.getHBaseSource(args("hbase-table"), args("zookeeper-hosts"))
     .read
     // Can't just "fromBytesWritable" because we have multiple types?
-    .toTypedPipe[(ImmutableBytesWritable,ImmutableBytesWritable,ImmutableBytesWritable)](new Fields("key", "tei_json", "status_code"))
-    .filter { case (_, tei_json, status_code) =>
+    .toTypedPipe[(ImmutableBytesWritable,ImmutableBytesWritable,ImmutableBytesWritable)](new Fields("key", "metadata", "status_code"))
+    .filter { case (_, metadata, status_code) =>
       grobidHbaseRows.inc 
-      tei_json != null && status_code != null
+      metadata != null && status_code != null
     }
-    .map { case (key, tei_json, status_code) =>
-      (Bytes.toString(key.copyBytes()), Bytes.toString(tei_json.copyBytes()), Bytes.toLong(status_code.copyBytes()))
+    .map { case (key, metadata, status_code) =>
+      (Bytes.toString(key.copyBytes()), Bytes.toString(metadata.copyBytes()), Bytes.toLong(status_code.copyBytes()))
     }
     // TODO: Should I combine next two stages for efficiency?
     .collect { case (key, json, 200) =>