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Original file line number | Diff line number | Diff line change |
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statement ok | ||
SET RW_IMPLICIT_FLUSH TO true; | ||
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statement ok | ||
create table t (v boolean); | ||
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statement ok | ||
create materialized view mv as select | ||
bool_and(v), | ||
bool_or(v) | ||
from t; | ||
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query BB | ||
select * from mv; | ||
---- | ||
NULL NULL | ||
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statement ok | ||
insert into t values (true); | ||
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# table values: true | ||
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query BB | ||
select * from mv; | ||
---- | ||
t t | ||
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statement ok | ||
insert into t values (false); | ||
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# table values: true, false | ||
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query BB | ||
select * from mv; | ||
---- | ||
f t | ||
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statement ok | ||
delete from t where v = true; | ||
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# table values: false | ||
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query BB | ||
select * from mv; | ||
---- | ||
f f | ||
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statement ok | ||
delete from t; | ||
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# table values: empty | ||
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query BB | ||
select * from mv; | ||
---- | ||
NULL NULL | ||
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statement ok | ||
drop materialized view mv; | ||
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statement ok | ||
drop table t; |
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Original file line number | Diff line number | Diff line change |
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# Demo: Sinking to ElasticSearch | ||
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In this demo, we want to showcase how RisingWave is able to sink data to ElasticSearch. | ||
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1. Set the compose profile accordingly: | ||
Demo with elasticsearch 7: | ||
``` | ||
export COMPOSE_PROFILES=es7 | ||
``` | ||
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Demo with elasticsearch 8 | ||
``` | ||
export COMPOSE_PROFILES=es8 | ||
``` | ||
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2. Launch the cluster: | ||
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```sh | ||
docker-compose up -d | ||
``` | ||
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The cluster contains a RisingWave cluster and its necessary dependencies, a datagen that generates the data, a single-node elasticsearch for sink. | ||
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3. Execute the SQL queries in sequence: | ||
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- create_source.sql | ||
- create_mv.sql | ||
- create_es[7/8]_sink.sql | ||
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4. Check the contents in ES: | ||
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```sh | ||
# Check the document counts | ||
curl -XGET -u elastic:risingwave "http://localhost:9200/test/_count" -H 'Content-Type: application/json' | ||
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# Check the content of a document by user_id | ||
curl -XGET -u elastic:risingwave "http://localhost:9200/test/_search" -H 'Content-Type: application/json' -d '{"query":{"term": {"user_id":2}}' | jq | ||
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# Get the first 10 documents sort by user_id | ||
curl -XGET -u elastic:risingwave "http://localhost:9200/test/_search?size=10" -H 'Content-Type: application/json' -d'{"query":{"match_all":{}}, "sort": ["user_id"]}' | jq | ||
``` |
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Original file line number | Diff line number | Diff line change |
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CREATE SINK bhv_es_sink | ||
FROM | ||
bhv_mv WITH ( | ||
connector = 'elasticsearch', | ||
index = 'test', | ||
url = 'http://elasticsearch8:9200', | ||
username = 'elastic', | ||
password = 'risingwave' | ||
); |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,9 @@ | ||
CREATE SINK bhv_es_sink | ||
FROM | ||
bhv_mv WITH ( | ||
connector = 'elasticsearch', | ||
index = 'test', | ||
url = 'http://elasticsearch8:9200', | ||
username = 'elastic', | ||
password = 'risingwave' | ||
); |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,7 @@ | ||
CREATE MATERIALIZED VIEW bhv_mv AS | ||
SELECT | ||
user_id, | ||
target_id, | ||
event_timestamp | ||
FROM | ||
user_behaviors; |
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CREATE table user_behaviors ( | ||
user_id int, | ||
target_id VARCHAR, | ||
target_type VARCHAR, | ||
event_timestamp TIMESTAMP, | ||
behavior_type VARCHAR, | ||
parent_target_type VARCHAR, | ||
parent_target_id VARCHAR, | ||
PRIMARY KEY(user_id) | ||
) WITH ( | ||
connector = 'datagen', | ||
fields.user_id.kind = 'sequence', | ||
fields.user_id.start = '1', | ||
fields.user_id.end = '1000', | ||
fields.user_name.kind = 'random', | ||
fields.user_name.length = '10', | ||
datagen.rows.per.second = '10' | ||
) FORMAT PLAIN ENCODE JSON; |
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