How can I break down and diagnose this query error resulting in a NumberFormatException?

I just converted our ES cluster from 0.90.12 to 1.1.1 and our app from
NEST 0.12 to 1.0.0-rc1 and have had a really difficult time fixing all the
breaking changes. I'm stuck on the following error. It occurs when I
execute what is a rather complex search query:

[my_index][0]:
RemoteTransportException[[search3.localdomain][inet[/172.31.xx.xx:9300]][search/phase/query]];
nested: QueryPhaseExecutionException[[my_index][0]:
query[filtered(ConstantScore(cache(BooleanFilter(description.contains:[* TO
*])))^0.5 ConstantScore(cache(BooleanFilter(name.contains:[* TO *])))^0.8
ConstantScore(cache(BooleanFilter(description.snowball:[* TO *])))
ConstantScore(cache(BooleanFilter(name.snowball:[* TO *])))^2.0
ConstantScore(cache(BooleanFilter(stateName:[* TO *])))^0.5
ConstantScore(*:*)^0.3)->cache(_type:mysearchtype)],from[0],size[100]:
Query Failed [Failed to execute main query]];
nested: ElasticsearchException[java.lang.NumberFormatException: empty
String];
nested: UncheckedExecutionException[java.lang.NumberFormatException: empty
String];
nested: NumberFormatException[empty String];

I'm just not quite sure how to debug that. The exact same query works on
my 0.90.12 server but not on my 1.1.1 server. Here's the query (sanitized
up a little)

"from": 0,
"size": 100,
"sort": {
"_score": {
"order": "desc"

},
"facets": {
"cityshortName": {
"terms": {
"field": "cityshortName",
"size": 50,
"order": "count"
},
"facet_filter": {
"and": {
"filters": [{
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field":
"companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

}, {}]

},
"amenities.shortName": {
"terms": {
"field": "amenities.shortName",
"size": 50,
"order": "count"
},
"facet_filter": {
"and": {
"filters": [{
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field":
"companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

}, {}]

},
"spaceEventTypes.shortName": {
"terms": {
"field": "spaceEventTypes.shortName",
"size": 50,
"order": "count"
},
"facet_filter": {
"and": {
"filters": [{
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field":
"companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

}, {}]

},
"spaceType.shortName": {
"terms": {
"field": "spaceType.shortName",
"size": 50,
"order": "count"
},
"facet_filter": {
"and": {
"filters": [{
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field":
"companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

}, {}]

},
"companyOrganizationName.keyword": {
"terms": {
"field": "companyOrganizationName.keyword",
"size": 50,
"order": "count"
},
"facet_filter": {
"and": {
"filters": [{
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field":
"companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

}, {}]

},
"location": {
"geo_distance": {
"location": "0, 0",
"ranges": [{
"from": 0.0,
"to": 5.0
}, {
"from": 0.0,
"to": 10.0
}, {
"from": 0.0,
"to": 20.0
}, {
"from": 20.0,
"to": 75.0
}],
"unit": "mi"
},
"facet_filter": {
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field": "companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

},
"query": {
"bool": {
"should": [{
"query_string": {
"query": "*",
"default_field": "description.contains",
"default_operator": "or",
"boost": 0.5

}, {
"query_string": {
"query": "*",
"default_field": "name.contains",
"default_operator": "or",
"boost": 0.8

}, {
"query_string": {
"query": "*",
"default_field": "description.snowball",
"default_operator": "or",
"analyzer": "mysnowball"

}, {
"query_string": {
"query": "*",
"default_field": "name.snowball",
"default_operator": "or",
"analyzer": "mysnowball",
"boost": 2.0

}, {
"query_string": {
"query": "*",
"default_field": "stateFullName",
"default_operator": "or",
"boost": 0.5

}, {
"query_string": {
"query": "*",
"default_field": "_all",
"default_operator": "or",
"boost": 0.3

}]

},
"filter": {
"and": {
"filters": [{
"and": {
"filters": [{}, {}, {}, {
"fquery": {
"query": {
"query_string": {
"query": "Starbucks",
"default_field": "companyshortName",
"analyzer": "whitespace"

}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}, {}]

}, {}]

},
"fields": [ < removed > ]

Again, this query works against my 0.90.12 server but not 1.1.1. Can
anyone shed some light on what might be happening? Is it a change in query
execution? Or are my indexes set up differently? I'm just not sure how to
diagnose that error message.