reindex

问题 This is my json: { "all_counts_reports":{ "26":{ "name":"kumar", "date":"2017-04-27", "trips_per_day":"2", "cash_trips":"0", "credit_trips":"1", "compliment_trips":"1" }, "28":{ "name":"kumar", "date":"2017-04-29", "trips_per_day":"1", "cash_trips":"1", "credit_trips":"0", "compliment_trips":"0" } } } I want to remove the second level keys (e.g "26:" and "28": ) using PHP. In other words, I want to replace the double-quoted number keys with zero-indexed numeric keys. How can I make it look

问题 This is my json: { "all_counts_reports":{ "26":{ "name":"kumar", "date":"2017-04-27", "trips_per_day":"2", "cash_trips":"0", "credit_trips":"1", "compliment_trips":"1" }, "28":{ "name":"kumar", "date":"2017-04-29", "trips_per_day":"1", "cash_trips":"1", "credit_trips":"0", "compliment_trips":"0" } } } I want to remove the second level keys (e.g "26:" and "28": ) using PHP. In other words, I want to replace the double-quoted number keys with zero-indexed numeric keys. How can I make it look

问题 I have an index which uses the default routing of elasticsearch. Now I want to set up my own routing, how do I implement this? The example in the official doc is: $ curl -XPUT 'http://localhost:9200/store/order/_mapping' -d ' { "order":{ "_routing":{ "required":true, "path":"customerID" } } } After doing this, do I need to reindex of even rebuild the whole index? 回答1: If you want to change the routing behavior in an existing mapping type, you need to create a new index, recreate the mapping

问题 I changed the simple analyzer on a field to Standard analyzer and tested it locally and it's working fine. I don't have to re-index all my documents in ES. But according to this SO post and this ES doc, looks like we need to re-index if we add/change the analyzer on a field. I am confused as its working fine now and it would take consider amount of time if I do the re-indexing and want to avoid it, if it's not required. Let me know if somebody faced the similar situation and what they did ?

问题 I am having a real strange behaviour when trying to reindex a dataframe in pandas. My version of Pandas is 0.10.0 and I use Python 2.7. Basically, when I load a dataframe: eurusd = pd.DataFrame.load('EUR_USD_30Min.df').drop_duplicates().dropna() eurusd <class 'pandas.core.frame.DataFrame'> DatetimeIndex: 119710 entries, 2003-02-02 17:30:00 to 2012-12-28 17:00:00 Data columns: open 119710 non-null values high 119710 non-null values low 119710 non-null values close 119710 non-null values dtypes

问题 I have been looking all over trying to figure out how to sort my pivot table correctly and I haven't had any luck. client unit task hours month 0 A DVADA Account Management 6.50 January 1 A DVADA Buying 1.25 January 2 A DVADA Meeting / Call 0.50 January 3 A DVADA Account Management 3.00 January 4 A DVADA Billing 2.50 February 5 A DVADA Account Management 6.50 February 6 A DVADA Buying 1.25 February 7 A DVADA Meeting / Call 0.50 February 8 A DVADA Account Management 3.00 February 9 A DVADA

问题 We are looking to upgrade from Apache Solr 4.7 to ApacheSolr 5.2. upgraded server and run script to upgrade the data index. it is showing below errors. ./upgradeindex.sh -t 5 /home/solr Target version is 5 Downloading http://central.maven.org/maven2/org/apache/lucene/lucene-backward-codecs/4.10.4/lucene-backward-codecs-4.10.4.jar curl: (7) couldn't connect to host Downloading http://central.maven.org/maven2/org/apache/lucene/lucene-backward-codecs/5.5.4/lucene-backward-codecs-5.5.4.jar curl:

问题 Lets say you have a collection with a field called "primary_key", {"primary_key":"1234", "name":"jimmy", "lastname":"page"} and I have an index on "primary_key". This collection has millions of rows, I want to see how expensive is to change primary_key for one of the records. Does it trigger a reindex of the entire table? or does it just reindex the changed record? in either case is that expensive to do? 回答1: Updating an indexed field in mongodb causes an update of the index (or indices if

问题 I have several old indices which I'd like to change mapping of. Now I need to transform old mapping into new ones. I've been reading on stackoverflow like This one This one and this one But I don't think they're the exact answer to my question. Many of those use a different index name, so operation is easier that way, but due to the setup, we use a more crude way of curl-ing the data, which requires the exact index name. Now my question is: what's a good way to reindex an old index (or

问题 Recently I ran into a problem regarding Re-index in Magento. My store has around 40,000 products and If I change a status of a single product, changes are not reflected on frontend as it needs reindexing of all Indexes. Moreoever reindexing takes a hell lot of time (around an hour) and I am thinking of a permanent issue. What does "Save on Update" mode in Reindex specifies ? Does it help in reindexing while saving the product ? Whats the difference between manual update and update on save ?