{"id":13439,"date":"2017-08-31T16:42:01","date_gmt":"2017-08-31T16:42:01","guid":{"rendered":"http:\/\/www.doanduyhai.com\/blog\/?p=13439"},"modified":"2017-09-01T13:33:43","modified_gmt":"2017-09-01T13:33:43","slug":"gremlin-recipes-10-depth-first-vs-breadth-first","status":"publish","type":"post","link":"https:\/\/www.doanduyhai.com\/blog\/?p=13439","title":{"rendered":"Gremlin recipes: 10 Depth-first vs Breadth-first"},"content":{"rendered":"

This blog post is the 9th<\/sup> from the series Gremlin Recipes<\/strong>. It is recommended to read the previous blog posts first: <\/p>\n

    \n
  1. Gremlin as a Stream<\/strong><\/a><\/li>\n
  2. SQL to Gremlin<\/strong><\/a><\/li>\n
  3. Recommendation Engine traversal<\/strong><\/a><\/li>\n
  4. Recursive traversals<\/strong><\/a><\/li>\n
  5. Path object<\/strong><\/a><\/li>\n
  6. Projection and selection<\/strong><\/a><\/li>\n
  7. Variable handling<\/strong><\/a><\/li>\n
  8. sack() operator<\/strong><\/a><\/li>\n
  9. Pattern Matching<\/strong><\/a><\/li>\n<\/ol>\n

    <\/p>\n

    I KillrVideo dataset<\/h1>\n

    To illustrate this series of recipes, you need first to create the schema for KillrVideo<\/strong> and import the data. See here<\/strong><\/a> for more details.<\/p>\n

    The graph schema of this dataset is :<\/p>\n