Hi,
Are you referring to the double quotes in the JSON result?
On Tue, 14 Apr 2020 at 08:29, sefty nindyastuti
wrote:
> the data that I use is log from hadoop, my problem is hadoop log from
> cluster,
> the schema I use is filebeat --> logstash --> solr, I use logstash config
> to parse the
In January, we upgraded Solr from version 6 to 8 skipping all versions in
between.
The hardware and Solr configurations were kept the same but we still faced
degradation in response time by 30-50%. We had exceptional Query times
around 25 ms with Solr 6 and now we are hovering around 36 ms.
Do anyone have experience to upgrade the application with Solr 7.X to 8.X?
How's the query performance?
Found out a little slower response time from application with Solr8 based on
current measurement, still looking into more detail it.
But wondering is any one have similar experience? is that
It doesn't tell much:
"debug":{ "rawquerystring":"email:*@aol.com", "querystring":"email:*@aol.com",
"parsedquery":"(email:*@aol.com)", "parsedquery_toString":"email:*@aol.com",
"explain":{ "11d6e092-58b5-4c1b-83bc-f3b37e0797fd":{ "match":true, "value":1.0,
"description":"email:*@aol.com"},
In case this helps somebody in the future, given how completely unhelpful
the Solr error message is - turns out the problem was occurring because in
solrconfig.xml the updateLog was disabled. I have enabled updateLog the
following way and "restore" operation started working:
What do you see if you add =query? That should tell you….
Best,
Erick
> On Apr 15, 2020, at 2:40 PM, TK Solr wrote:
>
> Thank you.
>
> Is there any harm if I use it on the query side too? In my case it seems
> working OK (even with withOriginal="false"), and even faster.
> I see the query
Thank you.
Is there any harm if I use it on the query side too? In my case it seems working
OK (even with withOriginal="false"), and even faster.
I see the query parser code is taking a look at index analyzer and applying
ReversedWildcardFilter at query time. But I didn't
quite understand what
The number of deleted documents will bounce around.
The default TieredMergePolicy has a rather complex
algorithm that decides which segments to
merge, and the percentage of deleted docs in any
given segment is a factor, but not the sole determinant.
Merging is not really based on the raw number
i wouldnt worry about the index size until you get above a half terabyte or
so. adding doc values and other features means you sacrifice things that
dont matter, like size. memory and ssd's are cheap.
On Wed, Apr 15, 2020 at 1:21 PM Rajdeep Sahoo
wrote:
> Hi all
> We are migrating from solr
Hello, Solr Community:
I would like to ask about Default's Merge Policy for Solr 8.3.0.
My client (SolrJ) makes a commit every 10'000 doc.
I have not explicitly configured Merge Policy via solrconfig.xml
For each indexing time, some documents are updated or deleted.
I think the Default Merge
Hi all
We are migrating from solr 4.6 to solr 7.7.2.
In solr 4.6 the size was 2.5 gb but here in solr 7.7.2 the solr index size
is showing 6.8 gb with the same no of documents. Is it expected behavior or
any suggestions how to optimize the size.
On Wed, Apr 15, 2020 at 10:09:59AM +0100, Colvin Cowie wrote:
> Hi, I can't answer the question as to what the optimal size of rows per
> request is. I would expect it to depend on the number of stored fields
> being marshaled, and their type, and your hardware.
It was a somewhat naive question,
The problem with Solr related to use TLS with ZK is the following:
* 3.5.5 seem to only support tls certificate authentication together with TLS .
Solr support es only digest and Kerberos authentication. However, I have to
check in the ZK jiras if this has changed with higher ZK versions
*
There’s no way leader election, even with tlog replay should take a day.
10,000 docs/minute doesn’t sound like enough to clog up
replay either, so something’s definitely not what I’d expect.
What is your hard commit interval? That controls how big the tlog
is and thus how long it’d take to
In a word, “yes”. I also suspect your corpus isn’t very big.
I think the key is the facet queries. Now, I’m talking from
theory rather than diving into the code, but querying on
a docValues=true, indexed=false field is really doing a
search. And searching on a field like that is effectively
Good to hear and thanks for reporting back.
The other thing ZK 3.5 allegedly makes easier is dynamically
reconfiguring the ensemble. Again, haven’t personally
tried it but I’d be cautious about that since Solr won’t be
using the 3.5 jars and just dropping the 3.5 jars in for
Solr to use would be
Hi, I can't answer the question as to what the optimal size of rows per
request is. I would expect it to depend on the number of stored fields
being marshaled, and their type, and your hardware.
But using start + rows is a *bad thing* for deep paging. You need to use
cursorMark, which looks like
You only need apply it in the index analyzer:
https://lucene.apache.org/solr/8_4_0/solr-core/org/apache/solr/analysis/ReversedWildcardFilterFactory.html
If it appears in the index analyzer, the query part of it is automatically
applied at query time.
The ReversedWildcardFilter indexes *every*
On 09/04/2020 16:03, Bram Van Dam wrote:
> Thanks, Erick. I'll give it a go this weekend and see how it behaves.
> I'll report back so there's a record of my attempts in case anyone else
> ends up asking the same question.
Here's a quick update after non-exhaustive testing: Running SolrCloud
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