Hello,
I have got the following issue on my production environnement :
2020-01-15 16:26:54] report.ERROR: {"error":{"root_cause":[{"type":"query_shard_exception","reason":"failed to create query: {
"terms" : {
"spt_tea_organic" : [
"1"
],
"boost" : 1.0
}
}","index_uuid":"M5lx_hYUQvecb-W4TT_87A","index":"magento2_fr_fr_catalog_product_20200115_145333"}],"type":"search_phase_execution_exception","reason":"all shards failed","phase":"query","grouped":true,"failed_shards":[{"shard":0,"index":"magento2_fr_fr_catalog_product_20200115_145333","node":"2oLy_vV2Q7CFfKJWHV1NYA","reason":{"type":"query_shard_exception","reason":"failed to create query: {
"terms" : {
"spt_tea_organic" : [
"1"
],
"boost" : 1.0
}
}","index_uuid":"M5lx_hYUQvecb-W4TT_87A","index":"magento2_fr_fr_catalog_product_20200115_145333","caused_by":{"type":"illegal_argument_exception","reason":"Can't parse boolean value [1], expected [true] or [false]"}}}]},"status":400}
I understand the error, but I don't know wky I haven't got the same issue on my dev environnement.
Elasticsearch versions are not the same, I looked for an "autoformat" setting which will be not set on production but I did'nt find.
Elasticsearch version on dev environnement :
$ curl -X GET "localhost:9200"
{
"name" : "ECxs_A7",
"cluster_name" : "elasticsearch",
"cluster_uuid" : "V6_C1U1kTyuC_MlV4wS9Pg",
"version" :
{ "number" : "5.3.2", "build_hash" : "3068195", "build_date" : "2017-04-24T16:15:59.481Z", "build_snapshot" : false, "lucene_version" : "6.4.2" }
,
"tagline" : "You Know, for Search"
}
Version production :
curl -X GET "elasticsearch-persistent:9200"
{
"name" : "2oLy_vV",
"cluster_name" : "docker-cluster",
"cluster_uuid" : "iSGq_Z8FSguXlle9WtX3Dg",
"version" :
{ "number" : "6.8.5", "build_flavor" : "default", "build_type" : "docker", "build_hash" : "78990e9", "build_date" : "2019-11-13T20:04:24.100411Z", "build_snapshot" : false, "lucene_version" : "7.7.2", "minimum_wire_compatibility_version" : "5.6.0", "minimum_index_compatibility_version" : "5.0.0" }
,
"tagline" : "You Know, for Search"
}
Have you got an idea ?
Thanks you