Updated for new version of ElasticSearch 1.0.0.
JDBC river makes possible to load data from e.g. MySql database to ElasticSearch and provide data much faster.
Before we start, have a look at the set of jdbc-river parameters. Then you need to pick-up a strategy how to poll data from JDBC.
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Hi, shouldn't index_name be index_type in your example?
ReplyDeletein the type_mapping?
ReplyDeleteIt was actually working as it is. ES river has changed this? I couldn't find it in documentation.
ReplyDeletedon't know, i got it working but used the type index_type, maybe it works because there is no other type in the index. Anyways, thanks for this post.
ReplyDeleteYou are right, index_type must be used... I fixed it.
ReplyDeletedo u need to create an empty index first? mine is not honoring my mappings. what do you mean by index_type? i don't see that in your example.
ReplyDelete