1 files changed, 5 insertions, 5 deletions
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) =>