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palomar: add second README with ES ops stuff
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# Basic OpenSearch Operations | ||
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We use OpenSearch version 2.5, with the built-in `analysis-icu`. | ||
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If you are trying to use Elasticsearch 7.10, you can install the plugin with: | ||
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sudo /usr/share/elasticsearch/bin/elasticsearch-plugin install analysis-icu | ||
sudo service elasticsearch restart | ||
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## Local Development | ||
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Run OpenSearch locally with docker: | ||
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docker run -p 9200:9200 -p 9600:9600 -e "discovery.type=single-node" opensearchproject/opensearch:2.5.0 | ||
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Eg, with OpenSearch running locally. Drop and rebuild the schema: | ||
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http delete :9200/palomar_post | ||
http delete :9200/palomar_profile | ||
http put :9200/palomar_post?include_type_name=true < palomar_post.json | ||
http put :9200/palomar_profile?include_type_name=true < palomar_profile.json | ||
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Put a single object (good for debugging): | ||
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head -n1 examples.json | http post :9200/palomar_post/_doc/0 | ||
http get :9200/palomar_post/_doc/0 | ||
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Bulk insert from a file on disk: | ||
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esbulk -verbose -id ident -index palomar_post -type _doc examples.json | ||
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## Index Aliases | ||
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To make re-indexing and schema changes easier, we can create versioned (or | ||
time-stamped) elasticsearch indexes, and then point to them using index | ||
aliases. The index alias updates are fast and atomic, so we can slowly build up | ||
a new index and then cut over with no downtime. | ||
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http put :9200/palomar_post_v04 < post_schema.json | ||
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To do an atomic swap from one alias to a new one ("zero downtime"): | ||
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http post :9200/_aliases << EOF | ||
{ | ||
"actions": [ | ||
{ "remove": { "index": "palomar_post_v05", "alias": "palomar_post" }}, | ||
{ "add": { "index": "palomar_post_v06", "alias": "palomar_post" }} | ||
] | ||
} | ||
EOF | ||
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To replace an existing ("real") index with an alias pointer, do two actions | ||
(not truly zero-downtime, but pretty fast): | ||
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http delete :9200/palomar_post | ||
http put :9200/palomar_post_v03/_alias/palomar_post | ||
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## Full-Text Querying | ||
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A generic full-text "query string" query look like this (replace "blood" with | ||
actual query string, and "size" field with the max results to return): | ||
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GET /palomar_post/_search | ||
{ | ||
"query": { | ||
"query_string": { | ||
"query": "blood", | ||
"analyzer": "textIcuSearch", | ||
"default_operator": "AND", | ||
"analyze_wildcard": true, | ||
"lenient": true, | ||
"fields": ["handle^5", "text"] | ||
} | ||
}, | ||
"size": 3 | ||
} | ||
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In the results take `.hits.hits[]._source` as the objects; `.hits.total` is the | ||
total number of search hits. | ||
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