def es_deepop(es, mvel, query):
FromES = es09.util.build_es_query(query)
select = query.edges
temp_query = query.copy()
temp_query.select = select
temp_query.edges = DictList()
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(temp_query),
"size": query.limit
},
"facet_filter":
simplify_esfilter(jx_expression(query.where).to_esfilter())
}
data = es09.util.post(es, FromES, query.limit)
rows = unpack_terms(data.facets.mvel, query.edges)
terms = zip(*rows)
# NUMBER ALL EDGES FOR JSON EXPRESSION INDEXING
edges = query.edges
for f, e in enumerate(edges):
for r in terms[f]:
e.domain.getPartByKey(r)
e.index = f
for p, part in enumerate(e.domain.partitions):
part.dataIndex = p
e.domain.NULL.dataIndex = len(e.domain.partitions)
# MAKE CUBE
dims = [len(e.domain.partitions) for e in query.edges]
output = Matrix(*dims)
# FILL CUBE
for r in rows:
term_coord = [
e.domain.getPartByKey(r[i]).dataIndex for i, e in enumerate(edges)
]
output[term_coord] = SUM(output[term_coord], r[-1])
cube = Cube(query.select, query.edges, {query.select.name: output})
cube.frum = query
return cube
def es_deepop(es, mvel, query):
FromES = es09.util.build_es_query(query)
select = query.edges
temp_query = query.copy()
temp_query.select = select
temp_query.edges = DictList()
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(temp_query),
"size": query.limit
},
"facet_filter": simplify_esfilter(query.where)
}
data = es09.util.post(es, FromES, query.limit)
rows = unpack_terms(data.facets.mvel, query.edges)
terms = zip(*rows)
# NUMBER ALL EDGES FOR Qb INDEXING
edges = query.edges
for f, e in enumerate(edges):
for r in terms[f]:
e.domain.getPartByKey(r)
e.index = f
for p, part in enumerate(e.domain.partitions):
part.dataIndex = p
e.domain.NULL.dataIndex = len(e.domain.partitions)
# MAKE CUBE
dims = [len(e.domain.partitions) for e in query.edges]
output = Matrix(*dims)
# FILL CUBE
for r in rows:
term_coord = [e.domain.getPartByKey(r[i]).dataIndex for i, e in enumerate(edges)]
output[term_coord] = SUM(output[term_coord], r[-1])
cube = Cube(query.select, query.edges, {query.select.name: output})
cube.frum = query
return cube
def es_setop(es, mvel, query):
FromES = es09.util.build_es_query(query)
select = listwrap(query.select)
isDeep = len(split_field(
query.frum.name)) > 1 # LOOKING INTO NESTED WILL REQUIRE A SCRIPT
isComplex = OR([
s.value == None and s.aggregate not in ("count", "none")
for s in select
]) # CONVERTING esfilter DEFINED PARTS WILL REQUIRE SCRIPT
if not isDeep and not isComplex:
if len(select) == 1 and not select[0].value or select[0].value == "*":
FromES = wrap({
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter":
simplify_esfilter(
jx_expression(query.where).to_esfilter())
}
},
"sort": query.sort,
"size": 1
})
elif all(isinstance(v, Variable) for v in select.value):
FromES = wrap({
"query": {
"filtered": {
"query": {
"match_all": {}
},
"filter": simplify_esfilter(query.where.to_esfilter())
}
},
"fields": select.value,
"sort": query.sort,
"size": coalesce(query.limit, 200000)
})
elif not isDeep:
simple_query = query.copy()
simple_query.where = TRUE_FILTER # THE FACET FILTER IS FASTER
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(simple_query),
"size": coalesce(simple_query.limit, 200000)
},
"facet_filter":
simplify_esfilter(jx_expression(query.where).to_esfilter())
}
else:
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(query),
"size": coalesce(query.limit, 200000)
},
"facet_filter":
simplify_esfilter(jx_expression(query.where).to_esfilter())
}
data = es09.util.post(es, FromES, query.limit)
if len(select) == 1 and not select[0].value or select[0].value == "*":
# SPECIAL CASE FOR SINGLE COUNT
cube = wrap(data).hits.hits._source
elif isinstance(select[0].value, Variable):
# SPECIAL CASE FOR SINGLE TERM
cube = wrap(data).hits.hits.fields
else:
data_list = unpack_terms(data.facets.mvel, select)
if not data_list:
cube = Cube(select, [], {s.name: Matrix.wrap([]) for s in select})
else:
output = zip(*data_list)
cube = Cube(
select, [],
{s.name: Matrix(list=output[i])
for i, s in enumerate(select)})
return Dict(meta={"esquery": FromES}, data=cube)
def es_setop(es, mvel, query):
FromES = es09.util.build_es_query(query)
select = listwrap(query.select)
isDeep = len(split_field(query.frum.name)) > 1 # LOOKING INTO NESTED WILL REQUIRE A SCRIPT
isComplex = OR([s.value == None and s.aggregate not in ("count", "none") for s in select]) # CONVERTING esfilter DEFINED PARTS WILL REQUIRE SCRIPT
if not isDeep and not isComplex and len(select) == 1:
if not select[0].value:
FromES.query = {"filtered": {
"query": {"match_all": {}},
"filter": simplify_esfilter(query.where)
}}
FromES.size = 1 # PREVENT QUERY CHECKER FROM THROWING ERROR
elif isKeyword(select[0].value):
FromES.facets.mvel = {
"terms": {
"field": select[0].value,
"size": coalesce(query.limit, 200000)
},
"facet_filter": simplify_esfilter(query.where)
}
if query.sort:
s = query.sort
if len(s) > 1:
Log.error("can not sort by more than one field")
s0 = s[0]
if s0.field != select[0].value:
Log.error("can not sort by anything other than count, or term")
FromES.facets.terms.order = "term" if s0.sort >= 0 else "reverse_term"
elif not isDeep:
simple_query = query.copy()
simple_query.where = TRUE_FILTER # THE FACET FILTER IS FASTER
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(simple_query),
"size": coalesce(simple_query.limit, 200000)
},
"facet_filter": simplify_esfilter(query.where)
}
else:
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(query),
"size": coalesce(query.limit, 200000)
},
"facet_filter": simplify_esfilter(query.where)
}
data = es09.util.post(es, FromES, query.limit)
if len(select) == 1:
if not select[0].value:
# SPECIAL CASE FOR SINGLE COUNT
output = Matrix(value=data.hits.total)
cube = Cube(query.select, [], {select[0].name: output})
elif isKeyword(select[0].value):
# SPECIAL CASE FOR SINGLE TERM
T = data.facets.terms
output = Matrix.wrap([t.term for t in T])
cube = Cube(query.select, [], {select[0].name: output})
else:
data_list = unpack_terms(data.facets.mvel, select)
if not data_list:
cube = Cube(select, [], {s.name: Matrix.wrap([]) for s in select})
else:
output = zip(*data_list)
cube = Cube(select, [], {s.name: Matrix(list=output[i]) for i, s in enumerate(select)})
cube.frum = query
return cube
def es_setop(es, mvel, query):
FromES = es09.util.build_es_query(query)
select = listwrap(query.select)
isDeep = len(split_field(query.frum.name)) > 1 # LOOKING INTO NESTED WILL REQUIRE A SCRIPT
isComplex = OR([s.value == None and s.aggregate not in ("count", "none") for s in select]) # CONVERTING esfilter DEFINED PARTS WILL REQUIRE SCRIPT
if not isDeep and not isComplex:
if len(select) == 1 and not select[0].value or select[0].value == "*":
FromES = wrap({
"query": {"filtered": {
"query": {"match_all": {}},
"filter": simplify_esfilter(jx_expression(query.where).to_esfilter())
}},
"sort": query.sort,
"size": 1
})
elif all(isinstance(v, Variable) for v in select.value):
FromES = wrap({
"query": {"filtered": {
"query": {"match_all": {}},
"filter": simplify_esfilter(query.where.to_esfilter())
}},
"fields": select.value,
"sort": query.sort,
"size": coalesce(query.limit, 200000)
})
elif not isDeep:
simple_query = query.copy()
simple_query.where = TRUE_FILTER # THE FACET FILTER IS FASTER
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(simple_query),
"size": coalesce(simple_query.limit, 200000)
},
"facet_filter": simplify_esfilter(jx_expression(query.where).to_esfilter())
}
else:
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(query),
"size": coalesce(query.limit, 200000)
},
"facet_filter": simplify_esfilter(jx_expression(query.where).to_esfilter())
}
data = es09.util.post(es, FromES, query.limit)
if len(select) == 1 and not select[0].value or select[0].value == "*":
# SPECIAL CASE FOR SINGLE COUNT
cube = wrap(data).hits.hits._source
elif isinstance(select[0].value, Variable):
# SPECIAL CASE FOR SINGLE TERM
cube = wrap(data).hits.hits.fields
else:
data_list = unpack_terms(data.facets.mvel, select)
if not data_list:
cube = Cube(select, [], {s.name: Matrix.wrap([]) for s in select})
else:
output = zip(*data_list)
cube = Cube(select, [], {s.name: Matrix(list=output[i]) for i, s in enumerate(select)})
return Data(
meta={"esquery": FromES},
data=cube
)
def es_setop(es, mvel, query):
FromES = es09.util.build_es_query(query)
select = listwrap(query.select)
isDeep = len(split_field(
query.frum.name)) > 1 # LOOKING INTO NESTED WILL REQUIRE A SCRIPT
isComplex = OR([
s.value == None and s.aggregate not in ("count", "none")
for s in select
]) # CONVERTING esfilter DEFINED PARTS WILL REQUIRE SCRIPT
if not isDeep and not isComplex and len(select) == 1:
if not select[0].value:
FromES.query = {
"filtered": {
"query": {
"match_all": {}
},
"filter": simplify_esfilter(query.where)
}
}
FromES.size = 1 # PREVENT QUERY CHECKER FROM THROWING ERROR
elif isKeyword(select[0].value):
FromES.facets.mvel = {
"terms": {
"field": select[0].value,
"size": coalesce(query.limit, 200000)
},
"facet_filter": simplify_esfilter(query.where)
}
if query.sort:
s = query.sort
if len(s) > 1:
Log.error("can not sort by more than one field")
s0 = s[0]
if s0.field != select[0].value:
Log.error(
"can not sort by anything other than count, or term")
FromES.facets.terms.order = "term" if s0.sort >= 0 else "reverse_term"
elif not isDeep:
simple_query = query.copy()
simple_query.where = TRUE_FILTER # THE FACET FILTER IS FASTER
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(simple_query),
"size": coalesce(simple_query.limit, 200000)
},
"facet_filter": simplify_esfilter(query.where)
}
else:
FromES.facets.mvel = {
"terms": {
"script_field": mvel.code(query),
"size": coalesce(query.limit, 200000)
},
"facet_filter": simplify_esfilter(query.where)
}
data = es09.util.post(es, FromES, query.limit)
if len(select) == 1:
if not select[0].value:
# SPECIAL CASE FOR SINGLE COUNT
output = Matrix(value=data.hits.total)
cube = Cube(query.select, [], {select[0].name: output})
elif isKeyword(select[0].value):
# SPECIAL CASE FOR SINGLE TERM
T = data.facets.terms
output = Matrix.wrap([t.term for t in T])
cube = Cube(query.select, [], {select[0].name: output})
else:
data_list = unpack_terms(data.facets.mvel, select)
if not data_list:
cube = Cube(select, [], {s.name: Matrix.wrap([]) for s in select})
else:
output = zip(*data_list)
cube = Cube(
select, [],
{s.name: Matrix(list=output[i])
for i, s in enumerate(select)})
cube.frum = query
return cube
